Introduction · Asian Paints
What your best
systems still can't
capture.
The decision layer beneath every plan, every batch, and every compliance sign-off.
🏆 EY Techathon 6.0 · Asian Paints FMCG Agentic AI Challenge · 2025–26
Your World
Three things that keep happening
despite everything you have built.
Challenge 01
The Knowledge That Walks Out the Door
Needs: real-time capture · AI classification · digital twin prediction
Experienced people across your 10 plants make critical calls every day — batch approvals, raw material substitutions, quality deviation sign-offs. Those decisions live in their heads. Your own supply chain head said it publicly: "a lot of data is locked into people's brains." When those people move roles or leave, the institutional memory goes with them. No system in your current stack was designed to capture it.
Challenge 02
Ten Plants. Ten Compliance Stories.
Needs: cross-plant evidence · ESG compliance layer · multi-system API integration
Each plant files individually — OCEMS real-time discharge, CPCB/SPCB, Ecomark 2024, BIS certification, Liquid Waste Rules (Oct 2025), BRSR board-governed with external assurance. No single unified evidence layer showing who authorised what, under which standard, at which moment across the full 10-plant network. Evidence is assembled at filing time — not continuously generated.
Challenge 03
New Businesses Scaling Faster Than Governance.
Needs: parallel AI workflows · architecture-agnostic API · AI analytics from day one
Your core paint operations are digitally mature — SAP, o9, control towers. Your décor, services, and projects arms are scaling fast without the same decision rigour. Your B2B wires and cables tender process — as you articulated in EY Techathon 6.0 — is losing bids because manual sequential handoffs between Sales, Technical, and Pricing teams mean RFPs are qualified late and SKU matching takes days. 90% of your B2B wins correlate with timely RFP action.
What It Costs
The numbers already in your
FY25 results and FY26 filings.
Margin compression
₹580Cr
Operating margin 18%→16%. A portion is recoverable through operational precision — independent of raw material prices.
Consumer complaints FY26
28,929
1,350 unresolved at year-end. Root causes untraceable at this volume without AI decision traceability across batch records.
Compliance filing load
10 plants
OCEMS · Ecomark 2024 · BIS · Liquid Waste Rules · BRSR · CPCB. Each plant filing individually. No unified evidence chain.
New capacity incoming
400K KL
Pithampur + expanded Mysuru — arriving into an environment without a governed decision layer. The gap starts at go-live.
A raw material substitution is approved without a batch consequence prediction → colour deviation occurs → rework batch is produced → delivery misses the window → consumer complaint is raised. Each link in that chain is traceable — but only if the original decision was governed. Without it, you see complaint #28,929. You never find the decision that caused it. That is what ₹580Cr looks like from the inside — and the portion attributable to avoidable operational decisions is recoverable through governed precision.
The Root Cause
All three challenges share
the same missing layer.
✓SAP S/4HANA
✓o9 AI Planning
✓IBM ODM
✓Supply Chain Control Tower
✓ASRS Robotics
✓OCEMS Monitoring
✓CCTV Video Analytics
Every system above is doing exactly what it was built to do. SAP records after. o9 optimises before. Your CCTV observes the floor. None governs the decision in the moment — when a human makes a call, approves a deviation, or authorises a substitution.
⚡We predict before you decide — no system you have does this at the plant floor
📋No tamper-evident record of who authorised what, when, under which standard — meaning no record can be altered without detection
🔗No formal layer where human decisions are captured as authorised, structured, governed objects
This is not a data gap. Not a planning gap. Not a vision gap.
It is a decision governance gap — and no system you have was designed to fill it.
It is a decision governance gap — and no system you have was designed to fill it.
No cross-system translation layer connecting your heterogeneous stack — SAP protocols, SCADA protocols, OCEMS formats — into one governed architecture. No unified cross-plant evidence chain connecting all 10 facilities simultaneously. Both of these are structural absences, not configuration problems with existing systems.
What Becomes Possible
What each challenge looks like
when the decision layer exists.
Challenge 01 — Tribal Knowledge
Every expert decision captured, AI-classified, and reusable — in real time, as it is made.
Proprietary AI predicts the consequence of a decision before it is made, using a live digital twin. The operator sees the prediction. They decide. GuardianLedger™ records the authorisation — who, what prediction they saw, what they chose, at what timestamp. EdgeVision™ governance layer sits above your existing CCTV analytics — adding reconciliation of physical execution against the governed record, without replacing your CCTV investment. When the operator moves roles, their decision architecture stays in the platform.
Challenge 02 — Multi-Plant Compliance
One tamper-evident evidence layer across all 10 plants — continuously, not assembled at filing time.
OCEMS feeds from all 10 plants flow into the ESG & Compliance Layer through SkyConnect™ Southbound simultaneously. BRSR, Ecomark 2024, BIS, Liquid Waste Rules, CPCB — all evidenced structurally and continuously. DataGuardian™ provides complete data provenance from source sensor to compliance record, satisfying CPCB's data verification requirements. Audit submissions become retrievals, not assemblies — available in seconds, not days of manual file consolidation.
Challenge 03 — New Businesses + B2B Tenders
New segments governed from day one. B2B tenders qualified, matched, and bid faster — with every decision recorded.
SkyConnect™ Mediation layer connects to whatever API-enabled systems new segments have — working above them without replacing them. For B2B tenders: the Data Fabric monitors RFP sources continuously. Proprietary AI matches SKUs to specifications at 95–97% accuracy. The Command & Control Layer runs Sales, Technical, and Pricing workflows in parallel — not sequentially — resolving the exact bottleneck you described at Techathon. Every bid decision is recorded in GuardianLedger™ — the governance dimension no student team at Techathon could have addressed.
Introducing SkyEdgeAI
We built a new category
of operational infrastructure.
The Operational Admissibility Layer — deeptech infrastructure that sits above your existing systems and converts human decisions into governed, AI-classified, tamper-evident records that cannot be altered without detection.
Core: a proprietary AI model achieving 95–97% decision accuracy in live production environments. Trained specifically for operational decision governance — not a general-purpose model adapted for this use. Reads from your systems. Zero commands issued. Human-in-the-loop as structural, not optional.
DPIIT-Recognised Deep Tech Startup · GeM Registered · Incorporated March 2025 · Bengaluru, India
The SkyEdgeAI team brings domain expertise that is not typical for an AI company. Devi Prasad Vuriti — Power, Industrial & Domain Lead — brings nearly four decades of cement, power, and fertilizer industry experience, pioneered waste heat recovery in Indian cement, and holds Six Sigma MBB, CEM, BOE, and BITS Pilani Process Engineering credentials. Co-Founder Nida Sahar Rafee leads IT Infrastructure, Cloud & Edge. Kameswara Rao Tangudu leads Integrations & Solutioning. M. Sadath Mehaboobjan leads Process Engineering & Delivery. Chandra Mohan Malla leads Compute Infrastructure. We are not software people who entered manufacturing. We are the industry, building the infrastructure it needs.
Live Deployment Results — Karnataka
95–97%
Proprietary AI model accuracy on operational decision classification in live production — not a test dataset benchmark.
60%
ROI within 90 days — scoped through Decision Landscape Mapping before deployment began, then confirmed by outcome.
11
Platform components across five layers — one governed architecture, not eleven separate products.
0
Commands issued to any operational system. Every action requires explicit human authorisation through the Control layer.
The Platform
Eleven components. Five layers.
One governed architecture.
Decision & Record
GuardianLedger™
Immutable decision record engine using cryptographic hash chaining — each record carries a fingerprint of the record before it, making alteration mathematically detectable. Written at the moment of decision, not reconstructed. Commissioned before go-live by design.
Intelligence
Proprietary AI Model
Trained specifically for operational decision governance — not a general-purpose model. Classifies decisions, predicts consequences, flags deviations in real time.
95–97% live production accuracy
TwinCore™ — Digital Twin Engine
Live, continuously updated model of your plant environment — structural, operational, energy, and environmental dimensions in parallel. Models consequences before decisions are made, not after.
Sensing & Analytics
EdgeVision™ — Computer Vision
Governance layer above your existing CCTV analytics. Adds reconciliation, record, and prediction cross-reference. Sub-100ms edge processing — no cloud dependency, no raw video stored.
AI Analytics
Governed intelligence engine surfacing patterns, anomalies, and predictions across all decision records. Powers energy efficiency intelligence, predictive incident analysis, and cross-plant pattern detection.
Operating & Human
GuardianOS™
Platform operating system managing compute scheduling, event routing, and AI lifecycle governance — every model update, version, and rollback recorded in GuardianLedger™. The platform governing your AI is itself governed.
Command & Control Layer
Role-configured governance interface. Operator sees prediction → approves or declines → governed record created instantly. Structurally enforced human authorisation — not a configuration option that can be turned off.
Connectivity — SkyConnect™ · All Four Layers
Southbound
SCADA, OCEMS, IoT sensors, CCTV analytics — reads from existing plant infrastructure. Read-only enforced at the gateway level.
Southbound connects to OT systems, environmental monitors, and existing computer vision outputs through standard industrial protocols. All connections are passive reads — no data is written back, no commands are issued, no control signals are sent. Read-only discipline is enforced at the gateway architecture level, not managed as a policy setting.
Northbound
SAP S/4HANA, o9, IBM ODM, ERP, planning tools — reads from your enterprise stack. No writes, no modifications, ever.
Northbound connects to your ERP and planning layer through standard API connectors. Your SAP and o9 teams will not notice the integration — it makes no demands beyond a read feed. No custom development is required on your ERP side. Your existing integrations and configurations remain unchanged.
Control
Human authorisation gateway — every AI recommendation must pass explicit human approval before it becomes a governed record.
The Control layer is the structural enforcement point for human-in-the-loop governance. No AI output becomes a governed decision record without passing through an explicit human approval action. This is not a policy or a setting — it is enforced by the platform architecture. The specific authorisation interface shown to each operator is role-configured via the Command & Control Layer.
Mediation
Cross-system protocol translation — resolves differences between SAP, SCADA, and OCEMS data formats above your existing integrations, without touching them.
Your bespoke SAP-to-ASRS robotics middleware stays exactly as it is. Mediation reads from SAP via Northbound and from the ASRS output via Southbound independently, then resolves the protocol difference at the platform level. Your custom integration is not touched, not replicated, and not required to change. For new plants — Pithampur, expanded Mysuru — governance can be commissioned before the ERP-robotics integration is built, because Mediation is independent of it. Mediation works with systems that expose a data feed or standard API — including older systems with protocol adapters.
Protection, Compliance & Infrastructure
DataGuardian™
Data lineage from source sensor to governed record. Sovereignty, retention policies, and access controls enforced. OCEMS data provenance for CPCB verification.
CyberGuardian™
Passive OT monitoring via tap points and span ports — no traffic injection. IEC 62443 (industrial cybersecurity standard). Protects SCADA, DCS, and bespoke ERP-robotics integrations.
ESG & Compliance Layer
OCEMS · Ecomark 2024 · BIS · Liquid Waste Rules · BRSR · CPCB · ZLD · CCPA Greenwashing. Continuous evidence — not periodic assembly.
InfraOps
Compute and infrastructure management. Cloud, on-premise, or hybrid. Data never leaves designated residency boundaries.
Inside Your Plants
IndustrialGuardian™ — SkyEdgeAI's
manufacturing sector product.
Batch Decisions — You See the Consequence Before You Authorise It
Before any deviation is approved, you see its predicted consequence. The operator decides with that intelligence in hand. The record is permanent.
A batch deviation is proposed on your Mysuru line. Before the operator touches anything, TwinCore™ has computed colour shift probability, viscosity impact, and yield loss from the live digital twin of that line. The proprietary AI classifies the decision. The operator sees the prediction. They approve or decline via the Command & Control interface — one interaction. GuardianLedger™ records: who authorised it, what prediction they were shown, what they chose, at what timestamp. If the batch later shows a quality issue, root cause analysis is a query against the record — not a week-long investigation tracing back through shift logs and memories.
Governed Vision — What Your Existing CCTV Cannot Add Itself
Your CCTV sees what happens on the floor. It cannot record whether what happened matched what was authorised. EdgeVision™ adds that governed reconciliation — above what you already have.
EdgeVision™ connects to your existing CCTV analytics output through SkyConnect™ Southbound. It adds: cross-reference reconciliation — confirming physical execution against the governed decision record; deviation detection — flagging any gap between the authorised action and the executed action immediately; governed inference records in GuardianLedger™ — what was detected, confidence level, timestamp, and reconciliation status. Edge processing: sub-100ms, local AI inference, no cloud dependency. No raw video is stored — only governed inference outputs. Your existing CCTV investment is amplified, not replaced.
Cross-Plant Compliance — Your BRSR Report Is Always Ready
OCEMS feeds from all 10 plants flow into the ESG & Compliance Layer simultaneously. Audit submissions become retrievals — available in seconds, not assembled over days.
BRSR (board-governed, external assurance ready), Ecomark 2024 (BIS + effluent + 20% energy reduction + biodegradable packaging), CPCB/SPCB Consent to Operate (CPCB operating permit), BIS product certification, Liquid Waste Management Rules 2024 (effective Oct 2025), OCEMS real-time discharge data, Zero Liquid Discharge governance for new plants, and CCPA Greenwashing Guidelines (Oct 2024) for substantiating product environmental claims across your Green Assure and low-VOC range. DataGuardian™ provides complete data provenance from source sensor to compliance record — satisfying CPCB's data verification requirements.
Non-Invasive. Read-Only. No Operational System Is Modified.
SkyConnect™ reads from your existing SAP, o9, OCEMS, SCADA, and CCTV systems through four API layers. Nothing is replaced. Nothing is modified. Zero commands issued.
Your bespoke SAP-to-ASRS middleware stays exactly as it is. SkyConnect™ Northbound reads from SAP. SkyConnect™ Southbound reads from the ASRS output. The Mediation layer resolves the protocol difference at the platform level — your custom integration is not touched, not replicated, and not required to change. CyberGuardian™ provides passive OT network monitoring via tap points and span ports — no traffic is injected into your OT network. IEC 62443 (industrial cybersecurity standard) compliance is maintained throughout. If connectivity to the central platform is lost, EdgeVision™ and plant-level governance continue on a local encrypted cache that synchronises completely when connectivity restores — the governance record has no gaps.
Why SkyEdgeAI
What makes this different from
platforms you have already seen.
Not an OT Vendor. Not an ERP Add-on. A New Layer.
SCADA and DCS vendors operate within the OT layer. ERP add-ons operate within the enterprise layer. SkyEdgeAI operates above both — reading from both, modifying neither.
Vendors like Aveva and Honeywell Forge operate within the OT environment — they require OT access, OT integration, and often OT process modification. SAP EHS and Oracle Process Cloud operate within the ERP layer — they inherit ERP data structures and ERP governance limitations. SkyEdgeAI sits above both layers, connecting to each through SkyConnect™ read-only API connections. This means no OT disruption, no ERP modification, no dependency on either layer's vendor for governance. It also means the governed decision record is independent of both — it cannot be modified by changes to SAP or SCADA, because it sits above them.
Proprietary AI — Not a General Model Adapted for Manufacturing
95–97% decision accuracy is not a marketing number. It is measured in live production, against real operational decisions, in real plant environments. Built for this specific task.
The proprietary AI model was trained specifically for operational decision governance — the task of classifying human operational decisions, predicting their consequences, and flagging deviations in real time. 95–97% accuracy means: in our two Karnataka live deployments, 95–97% of operational decisions were correctly classified, their consequences correctly predicted, and the governed record correctly structured — measured against ground truth outcomes in the live operational environment. This is not accuracy on a test dataset or a benchmark suite. It is production accuracy in real operational conditions.
GuardianLedger™ — Governance Evidenced, Not Asserted
The record cannot be altered without detection. Not because we say so. Because cryptographic hash chaining makes alteration mathematically detectable by anyone with access to the record.
Most governance platforms assert that records are accurate. GuardianLedger™ proves it. Each record contains a cryptographic hash of the record before it. If any record is altered, every subsequent record in the chain becomes mathematically invalid — detectable immediately by any authorised verifier. For a company under CCI investigation examining distribution decisions, under BRSR board-governed reporting with external assurance, and under CPCB real-time discharge monitoring at 10 plants simultaneously — the difference between asserted governance and evidenced governance is material. Governance evidenced, not asserted. That is the product.
Live in 90 Days. Governed From Day One.
GuardianLedger™ is commissioned before go-live — by design, not by option. Governance does not wait for the system to mature. It begins the moment the plant begins.
Every other governance or compliance system is installed after the plant is operating — meaning the first weeks or months of operations are ungoverned, tribal knowledge begins accumulating without capture, and compliance habits form without evidence. GuardianLedger™ commission before go-live means: the first decision made in Pithampur or expanded Mysuru is a governed record. Tribal knowledge capture begins on day one. Compliance evidence starts from commissioning, not from the first filing deadline. The cost of retroactive governance installation — which is always higher and always captures less — is eliminated.
Proof
Two live deployments.
Real numbers. 90 days.
Large Manufacturing Campus · Karnataka · Under NDA
97%
decision accuracy
60%
ROI · 90 days
97% = proprietary AI model accuracy on operational decision classification in live production — not a test dataset.
GuardianLedger™ commissioned before go-live. ROI scoped through Decision Landscape Mapping before a single line of integration was written. Human-in-the-loop throughout. Zero commands to any operational system.
Public-Access Facility · Karnataka · Under NDA
97%
decision accuracy
60%
ROI · 90 days
Different operational context — same AI model, same governance architecture. Confirms accuracy and ROI hold across different facility types and use cases.
This deployment validates the platform in a multi-access, multi-stakeholder environment — directly relevant to Asian Paints' context of 10 plants across different states, teams, and regulatory jurisdictions.
ROI was quantified through Decision Landscape Mapping before deployment — the same engagement proposed for Asian Paints. Mechanisms were mapped to specific P&L lines before a line of integration was written: batch rework elimination (prediction before authorisation, not investigation after failure), compliance assembly cost removed (continuous evidence replaced periodic assembly), tribal knowledge retention (continuous capture during normal operations, not re-onboarding after departure), audit preparation eliminated (continuous record replaced periodic manual assembly), root cause analysis time cut from weeks to a query. Each of these was a projection that was then confirmed by the deployment outcome. 60% was not a post-hoc calculation.
ROI Stack
What moves in your ₹580Cr —
mechanism and timing for each.
Batch Rework
We predict the deviation before you authorise it — so you stop it, not investigate it afterwards.
TwinCore™ prediction before authorisation → rework cost eliminated at source
High
Immediate
Immediate
Tribal Knowledge
Expert decisions captured as they happen — role transition rework and re-onboarding cost eliminated across 10 plants.
Continuous capture during normal operations → knowledge survives every role change
High
3–6 months
3–6 months
Compliance Assembly
BRSR, CPCB, Ecomark 2024, BIS — evidenced continuously. Filing preparation cost eliminated. Report is a retrieval.
Continuous governance across 10 plants → assembly cost becomes zero
High
6 months
6 months
Complaint Root Cause
28,929 complaints: every one traceable to the exact batch decision that caused it. Resolution is a query, not weeks of investigation.
Decision traceability from outcome to original authorisation → root cause speed multiplied
Medium–High
Immediate
Immediate
New Plant Commission
Pithampur + Mysuru governed from go-live. The cost of installing governance retroactively — always higher — is eliminated.
GuardianLedger™ begins at Commission by design → no retrofit cost, no ungoverned period
Strategic
Window closing
Window closing
Why Now
Four reasons the window
is open right now.
01
New Plants Coming Online
Pithampur and expanded Mysuru are being commissioned. GuardianLedger™ begins before go-live — design principle, not option. The window to start governed from day one closes when those plants open.
02
Regulatory Scrutiny at Its Peak
CCI investigation live. BRSR board-governed. Ecomark 2024 active. Liquid Waste Rules in force. BIS maintenance across product range. OCEMS at 10 plants. All simultaneously. Tamper-evident records that prove governance integrity — not assert it.
03
Margin Recovery Independent of the Market
200 basis points of compression is partly recoverable through AI-driven operational precision — independent of raw material prices, crude oil, and competitor behaviour. Every basis point recovered this way is structural, not circumstantial.
04
The Architecture You Specified Is Ready
EY Techathon 6.0: you published your B2B RFP agentic AI challenge and specified a Master-Sales-Technical-Pricing agent architecture. That architecture is tested in production, available now, and delivers three dimensions no student team could have addressed.
The Proposal
Three tiers. Full platform.
One yes, agreed today.
Tier One · Immediate · 30 Days
Decision Landscape Mapping
Two India plants — read-only observation and structured interviews with your operations team
Map where decisions are made, by whom, in what systems or outside of systems, with what traceability
Highest-value intervention points mapped to your specific P&L lines and regulatory obligations
Quantified opportunity estimate — your numbers, not Karnataka benchmarks. Yours to keep regardless of what follows.
Zero integration · Zero deployment · Zero operational risk
Tier Two · 90 Days from Commission
IndustrialGuardian™ Deployment
Discover (3 wks): regulatory mapping across all applicable frameworks, AI decision inventory, integration architecture assessment
Design (3 wks): GuardianLedger™ configuration · All four SkyConnect™ layers specified · ESG layer mapped to each framework
Integrate (4 wks): connections validated one by one · CyberGuardian™ IEC 62443 security validation · EdgeVision™ overlay on existing CCTV
Commission: GuardianLedger™ goes live. Every decision from that timestamp is an immutable, auditable governed record.
Each phase requires explicit sign-off before the next begins. No phase is irreversible. GuardianLedger™ can be decommissioned without affecting any underlying operational system — because we never wrote to any of them. Your SAP, o9, SCADA, and OCEMS systems remain exactly as they were at every point in the engagement. If at any phase the projected outcomes are not tracking, the engagement stops at that phase boundary. The risk is contained, phased, and fully reversible.
Tier Three · 12-Month Roadmap
Full Platform Expansion
Months 4–6: ESG & Compliance Layer across all 10 plants. BRSR automated. Cross-plant unified evidence.
Months 6–9: Energy efficiency intelligence, predictive incident analysis, B2B tender intelligence for wires & cables deployed
Months 9–12: Décor, services, and projects governed to core paint standard via SkyConnect™ Mediation
Throughout: GuardianOS™ governs the full platform lifecycle — every model update and version recorded
Capability Reference · 01 of 05
Command & Control — Your Governance Operations Centre
Role-configured interface through which every level of your governance hierarchy sees, decides, and records.
🖥️ What It Is
Aggregates governed intelligence from every platform component and presents it at the right level of abstraction for each role. Board: governance KPIs and compliance posture across 10 plants. Compliance team: exception flags and framework alignment status. Plant operators: predictions and approval requests for their specific line and shift. IT and integration teams: connection health, data flow status, model performance. One platform — role-configured views built to your governance hierarchy.
⚙️ How Human-in-the-Loop Works Operationally
An operator on your Mysuru line sees: TwinCore™'s batch deviation prediction, the AI's 95–97% confidence classification, and the recommended action. One tap: approve or decline. That single interaction creates the GuardianLedger™ record — who, what prediction was shown, what was chosen, at what timestamp. Structurally enforced — not a configuration option that can be turned off under production pressure. No AI action executes without passing through this layer. The AI advises. The human decides. Always.
Use Cases — Asian Paints
Plant operator batch deviation and raw material substitution approval — one interaction, complete governed record AP
OCEMS threshold breach — automatic compliance exception routing to the right authority, full response chain documented AP
Board governance dashboard — real-time compliance posture across all 10 plants, BRSR performance indicators, CCI-relevant decision records AP
Regulatory authority interface — structured CPCB view of compliance evidence without exposing underlying operational systems AP
Incident response coordination — governed workflow from alert to resolution with complete decision audit trail at every step
B2B bid approval — Sales, Technical, and Pricing agent outputs reviewed and authorised by commercial leadership before submission AP
Capability Reference · 02 of 05
TwinCore™ — Digital Twin Engine
Live, continuously updated model of your operational environment. Models consequences before decisions are made — not after.
🌐 How It Works
Ingests continuous data from IoT sensors, SCADA, production line telemetry, energy meters, quality systems, and environmental monitors through SkyConnect™ Southbound. Builds and maintains a live multi-dimensional model — structural, operational, environmental, and energy dimensions updated simultaneously in real time. This is not a static simulation. It is a live, continuously validated representation of what is happening in your plants right now. Before any governed decision is made — the twin shows what will happen if that decision is taken. Every TwinCore™ output is a governed intelligence record in GuardianLedger™.
🏭 Paint Plant Specifics
Models batch deviation consequence: colour shift probability, viscosity impact, yield loss — computed from your live line telemetry before the operator authorises. Raw material substitution impact: formulation consequence, quality risk, specification drift. Production scheduling: capacity against incoming orders, line changeover impact on delivery commitments. Energy consumption modelling against Ecomark 2024's 20% reduction requirement and BRSR energy disclosure obligations. Emissions modelling against OCEMS permit thresholds across all 10 plants. Every output feeds the proprietary AI model's prediction and is recorded in GuardianLedger™ with full data lineage.
Use Cases — Asian Paints
Batch deviation modelling — colour shift probability, viscosity impact, yield loss before any authorisation AP
Raw material substitution impact — formulation consequence and quality risk before procurement approval AP
Energy consumption modelling against Ecomark 2024 20% reduction target and BRSR energy disclosure AP
New plant commissioning twin — Pithampur and Mysuru modelled before go-live to validate capacity, compliance, and energy design AP
Capability Reference · 03 of 05
EdgeVision™ + AI Analytics
Governed vision above your existing CCTV — and intelligence that compounds across every governed decision record.
👁️ EdgeVision™ — What It Adds Above Your Existing CCTV Analytics
You have CCTV video analytics. EdgeVision™ connects to their output through SkyConnect™ Southbound and adds the governance layer your existing analytics cannot provide by themselves: (1) Cross-reference reconciliation — confirms physical execution against the governed decision record for every authorised action. (2) Deviation detection — flags any gap between what was authorised and what was physically done, immediately. (3) Governed inference records in GuardianLedger™ — what was detected, confidence level, timestamp, and reconciliation status. Sub-100ms edge processing. No raw video stored anywhere. No cloud dependency. Your existing CCTV investment is amplified — not replaced, not changed.
📊 AI Analytics — Three Applications for Asian Paints
Energy Efficiency Intelligence: AI-governed analysis of plant energy consumption against Ecomark 2024's 20% reduction target — demand management optimisation, load shifting across production schedules, compressed air and thermal process scheduling, continuous BRSR energy disclosure evidence across all 10 plants.
Predictive Incident Analysis: Equipment degradation prediction from sensor pattern analysis before failure, process safety parameter drift detected before threshold breach, quality deviation early warning across batch populations — stop incidents, not investigate them.
Cross-Plant Pattern Intelligence: Systemic quality and compliance issues that are invisible at single-plant level — surfaced by pattern recognition running across all 10 governed plant records simultaneously.
Predictive Incident Analysis: Equipment degradation prediction from sensor pattern analysis before failure, process safety parameter drift detected before threshold breach, quality deviation early warning across batch populations — stop incidents, not investigate them.
Cross-Plant Pattern Intelligence: Systemic quality and compliance issues that are invisible at single-plant level — surfaced by pattern recognition running across all 10 governed plant records simultaneously.
Use Cases — Asian Paints
Floor deviation detection — authorised vs physically executed action reconciled against governed decision record in real time AP
Energy efficiency governance — AI decisions on demand management continuously evidenced against Ecomark 2024 20% target AP
Predictive incident analysis — equipment degradation and safety parameter drift detected and governed before threshold breach AP
Quality deviation early warning — AI pattern recognition across batch populations surfacing systemic root causes across 10 plants AP
Capability Reference · 04 of 05
ESG & Compliance Layer — Every Framework. Continuously.
Named frameworks. Named obligations. Continuous evidence — not periodic assembly at filing time.
Data Governance — For IT and CIO
DataGuardian™ enforces data sovereignty, retention policies (including deletion rights under applicable law), and access controls across all platform data. No data leaves designated residency boundaries. Full audit trail from source sensor to governed record — satisfying CPCB, BRSR, and internal audit data provenance requirements. Records are immutable and auditable — not "permanent" in a way that prevents retention policy management.
OCEMS Live · 10 plants
Real-time discharge data from all facilities through SkyConnect™ Southbound. Every threshold event governed and evidenced. DataGuardian™ provides complete CPCB data provenance from source sensor to record.
Ecomark 2024 Active
BIS certification · Effluent and emission standards · 90% biodegradable packaging · CPCB air pollution controls · 20% energy reduction. Each criterion continuously tracked and evidenced in GuardianLedger™.
BIS Certification Product range
Formulation approval decisions, specification change sign-offs, and test result authorisations — all governed records. BIS compliance maintenance automated across the full product range.
Liquid Waste Rules 2024 Oct 2025
Treatment, reuse, and disposal decisions for all industrial liquid waste governed and evidenced. Cleaning solvent, pigment effluent, and wastewater decisions recorded in GuardianLedger™.
BRSR Board-governed
Platform produces BRSR evidence continuously — energy, water, waste, emissions, supply chain ESG. Annual report becomes a retrieval, not a data assembly exercise. External assurance ready.
CPCB / SPCB CTO / COP
Consent to Operate (CPCB operating permit) compliance. Every decision against permit conditions evidenced. Real-time exception alerting. Proactive regulatory communication at Commission.
Zero Liquid Discharge New plants
ZLD maintained at all existing facilities. Pithampur and expanded Mysuru commissioned with ZLD governance from go-live — not retrofitted. Treatment and recycling decision records evidenced from day one.
CCPA Greenwashing Oct 2024
CCPA guidelines require substantiated environmental claims. Low-VOC, Green Assure, and Ecomark SKU claims evidenced by continuous governed records — across hundreds of products in your range.
Scope 3 / Samaveta Supply chain
Supplier ESG decision records and traceability for your Samaveta programme — covering 88% of suppliers by spend. Scope 3 emissions data lineage from supplier inputs to BRSR disclosure. EU CS3D (EU Supply Chain Due Diligence) ready for export contexts.
Capability Reference · 05 of 05
B2B Tender Intelligence + Full Use Case Register
The Techathon architecture you specified — mapped to SkyEdgeAI. And 25+ Asian Paints-applicable use cases.
📋 EY Techathon 6.0 — Your Architecture, Delivered
FMCG Problem Statement IV · Master–Sales–Technical–Pricing Agent Architecture
RFP Discovery: Data Fabric + AI Analytics — continuous monitoring across government portals, PSU websites, GeM marketplace (Lumpsum Turnkey project executor tender portals). Real-time alert on qualifying tenders before your team would manually discover them.
SKU Matching: Proprietary AI at 95–97% accuracy — Spec Match % metric, top-3 ranked SKU recommendations per product, comparison table for commercial review. Minutes, not days.
Parallel Orchestration: Command & Control Layer — Sales, Technical, and Pricing agents run simultaneously, not sequentially. The Master Agent receives all outputs together. Your sequential bottleneck resolved at its structural root.
Bid Governance: GuardianLedger™ — every bid decision (qualify, match, price, submit, outcome) permanently and immutably recorded. The governance dimension no student team at Techathon could have addressed — and the most commercially valuable.
SKU Gap Intelligence: AI Analytics patterns recurring specification gaps across RFP history — surfaces the most commercially valuable new SKUs for R&D and manufacturing prioritisation.
📚 Full Use Case Register — Asian Paints Applicable
25+ Direct UCs · 120 Platform-Confirmed · IndustrialGuardian™
Process safety AI decision audit — COMAH, Seveso III evidence AP
Predictive maintenance deferral evidencing — sensor lineage, model basis, operator record AP
Industrial environmental permit compliance — automated emissions and effluent evidence AP
Supply chain AI decision traceability — Scope 3, Samaveta ESG, EU Supply Chain Due Diligence AP
Energy and resource optimisation governance — demand management, decarbonisation evidence, Ecomark 2024 AP
Cyber risk monitoring for connected OT — IEC 62443 (industrial cybersecurity standard), bespoke ERP-robotics protection AP
Water governance and replenishment evidence — consumption decisions, ZLD compliance, 600% replenishment target tracking AP
Plant energy and carbon decision evidencing — Ecomark 2024 + BRSR energy disclosure + Scope 1 & 2 AP
B2B RFP agentic intelligence — wires and cables tender automation, parallel agent orchestration, governed bid records AP
New business decision governance — décor, services, and projects segments from day one AP
Greenwashing claims substantiation — CCPA October 2024, continuous product claim evidence across Green Assure and low-VOC range AP
Consumer complaint root cause traceability — 28,929 complaints mapped to specific governed batch decisions AP