The decision layer beneath every plan, every batch, and every compliance sign-off.
🏆 EY Techathon 6.0 · Asian Paints FMCG Challenge · Agentic AI · 2025–26
01 / 17
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.
Each plant files individually — OCEMS real-time discharge, CPCB/SPCB, Ecomark 2024, BIS certification, Liquid Waste Rules (Oct 2025), BRSR board-governed. No single unified evidence layer showing who authorised what, under which standard, at which moment across the full network.
Challenge 03
New Businesses. Old Decision Habits.
Needs: agentic orchestration · architecture-agnostic API · AI analytics from day one
Core paint: digitally mature — SAP, o9, control towers. Décor, services, projects: scaling fast without the same decision rigour. B2B tenders — as you articulated in EY Techathon 6.0 — need agentic AI to qualify, match, and win more bids without the sequential handoff bottleneck.
02 / 17
What It Costs
The numbers already in your FY25 results and FY26 filings.
1,350 unresolved at year-end. Root causes untraceable at this volume without AI decision traceability.
Compliance filing load
10 plants
OCEMS · Ecomark 2024 · BIS · Liquid Waste Rules · BRSR · CPCB. Each plant filing individually.
New capacity incoming
400K KL
Pithampur + expanded Mysuru — arriving before governance is in place.
When decisions are made without AI classification, real-time capture, or tamper-evident record — the error rate is unknown. Unknown error rates compound: a raw material substitution approved without batch consequence prediction → colour deviation → rework batch → delivery miss → consumer complaint. You see complaint #28,929. You never find the decision that caused it. That is what ₹580Cr looks like from the inside.
03 / 17
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 its job. None governs the decision in the moment — when a human makes a call, approves a deviation, or authorises a substitution.
⚡No AI model predicting the consequence before the decision is made
📋No tamper-evident record of who authorised what, when, under which standard
🔗No governed human-authorisation gateway between AI advice and human action
No cross-system Mediation layer translating your heterogeneous stack — SAP, SCADA, OCEMS — into one governed architecture. No unified cross-plant evidence chain connecting all 10 facilities simultaneously. These are not data gaps, not planning gaps, not vision gaps. They are a decision governance gap — and no system you have was designed to fill it.
04 / 17
What Changes
What each challenge looks like when the decision layer is in place.
Challenge 01 — Tribal Knowledge
Every expert decision captured, AI-classified, and reusable — in real time, as it is made.
GuardianLedger™Proprietary AI · 95–97%TwinCore™EdgeVision™ overlay
Proprietary AI watches each decision, predicts consequence using a live digital twin before authorisation, and records it as a tamper-evident object. EdgeVision™ governance layer sits above your existing CCTV analytics — adding reconciliation and record without replacing your investment. When the operator moves roles, the decision architecture stays in the platform.
Challenge 02 — Multi-Plant Compliance
One tamper-evident compliance 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. Audit submissions become retrievals, not assemblies.
Challenge 03 — New Business + B2B Tenders
New segments governed from day one. B2B RFP intelligence that wins more tenders — without the sequential bottleneck.
SkyConnect™ 4-layer APIProprietary AI · 95–97%Command & ControlGuardianLedger™
SkyConnect™ Mediation connects to whatever systems new segments have. The same AI model governing plant decisions governs commercial bid decisions: scanning RFPs, SKU matching at 95–97% accuracy, orchestrating Sales, Technical, and Pricing agents simultaneously via Command & Control. Every bid decision recorded in GuardianLedger™.
05 / 17
Introducing SkyEdgeAI
The platform that delivers what you just saw.
The world's first Operational Admissibility Layer — deeptech infrastructure that sits above your existing systems and converts human decisions into governed, AI-classified, tamper-evident records.
Proprietary AI model. 95–97% decision accuracy in live production. Reads from your systems. Zero commands issued. Human-in-the-loop as structural, not optional.
DPIIT-Recognised Deep Tech Startup · GeM Registered · Bengaluru, India
Tier One: Decision Landscape Mapping — 30 days, two plants, quantified ROI estimate specific to Asian Paints. Tier Two: IndustrialGuardian™ Deployment — 90 days, Discover → Design → Integrate → Commission. Tier Three: Full platform expansion — all 11 components across every business segment, 12-month roadmap. One yes today. Full platform live within 12 months.
Live Deployment Results — Karnataka
95–97%
Proprietary AI model accuracy in live production — not a test dataset benchmark.
60%
ROI within 90 days — scoped through Decision Landscape Mapping before deployment, then confirmed.
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.
06 / 17
The Platform
Eleven components. Five layers. One governed architecture.
Decision & Record
GuardianLedger™
Cryptographic hash-chained immutable record engine — written at decision moment, not reconstructed. Commissioned before go-live.
Intelligence
Proprietary AI Model
Trained for operational decision governance — not a general-purpose model. Classifies, predicts, flags deviations in real time.
95–97% live production
TwinCore™ — Digital Twin Engine
Live continuously-updated model of your plant environment. Models consequences before decisions are made.
Orchestrates all components simultaneously. AI model lifecycle governance — every update and version recorded.
Command & Control Layer
Role-configured governance interface. Operator sees prediction → approves or declines → governed record created. Structurally enforced — not a configuration option.
Connectivity — SkyConnect™ · All Four Layers
Southbound
SCADA, OCEMS, IoT, CCTV analytics. Read-only enforced at gateway.
Northbound
SAP S/4HANA, o9, IBM ODM, ERP. No writes ever.
Control
Human authorisation gateway. AI recommendation → human approval → governed record.
Mediation
Cross-system protocol translation. Works above bespoke integrations without touching them.
Protection, Compliance & Infrastructure
DataGuardian™
Complete data lineage. OCEMS provenance for CPCB.
CyberGuardian™
Passive OT monitoring. IEC 62443. No traffic injection.
Compute and infrastructure management. Cloud, on-premise, or hybrid.
07 / 17
Inside Your Plants
IndustrialGuardian™ purpose-built for paint manufacturing.
🧪
Batch Decisions — AI Prediction Before Authorisation
Before any deviation is approved, TwinCore™ models consequence. Proprietary AI classifies at 95–97%. GuardianLedger™ records who authorised, against what prediction, at what timestamp.
GuardianLedger™TwinCore™Proprietary AI
A batch deviation on your Mysuru line: before the operator touches anything, TwinCore™ has computed colour shift probability, viscosity impact, and yield loss. The AI classifies the decision. The operator sees the prediction. They approve or decline. That single interaction creates the GuardianLedger™ record. Root cause analysis — if needed — is a query, not a week-long investigation tracing back through logs and memories.
👁️
Governed Vision — Above Your Existing CCTV
EdgeVision™ sits above your existing video analytics via SkyConnect™ Southbound — adding governance reconciliation and record without replacing your investment.
Your existing CCTV analytics observes what happens. EdgeVision™ adds: cross-reference of physical execution against the governed decision record; immediate flagging when the authorised action and the executed action diverge; governed inference records in GuardianLedger™ — what was detected, confidence level, timestamp, reconciliation status. No raw video stored. No cloud dependency. Sub-100ms edge processing. Your CCTV investment amplified.
📋
Cross-Plant Compliance — Continuous, Not Periodic
OCEMS feeds from all 10 plants flow through SkyConnect™ Southbound into the ESG & Compliance Layer simultaneously. Audit submissions become retrievals.
BRSR, Ecomark 2024 (BIS + effluent + 20% energy reduction + biodegradable packaging), CPCB/SPCB Consent to Operate, BIS product certification, Liquid Waste Management Rules 2024 (Oct 2025), OCEMS real-time discharge data — all evidenced continuously. DataGuardian™ provides complete data provenance from source sensor to compliance record for CPCB verification.
🔗
Non-Invasive. Read-Only. Human Always in the Loop.
SkyConnect™ reads from SAP, o9, OCEMS, SCADA, and CCTV analytics. Mediation resolves protocol differences without touching bespoke integrations. 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 protocol differences at the platform level — your custom integration is not touched. CyberGuardian™ provides passive OT network monitoring via tap points and span ports — no traffic injected, IEC 62443 compliant.
08 / 17
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 in live production — not a test dataset.
GuardianLedger™ commissioned before go-live. ROI scoped through Decision Landscape Mapping before deployment. Human-in-the-loop throughout.
Public-Access Facility · Karnataka · Under NDA
97%
decision accuracy
60%
ROI · 90 days
Different environment. Same AI model. Architecture-agnostic — not facility-specific.
ROI quantified through Decision Landscape Mapping before deployment — the same engagement proposed for Asian Paints. Mechanisms mapped to P&L lines: batch rework elimination (prediction before authorisation), compliance sign-off time (real-time vs days of manual assembly), tribal knowledge retention (continuous capture vs months of re-onboarding), audit preparation (continuous record vs periodic assembly), root cause analysis (query vs weeks of investigation). 60% was a projection confirmed by the deployment outcome — not a post-hoc calculation.
09 / 17
ROI Stack
What moves in your ₹580Cr — mechanism for each component.
Batch Rework
Deviation predicted before it is authorised. Rework eliminated at source.
Mechanism: TwinCore™ prediction before authorisation — not investigation after failure
High
Tribal Knowledge
Expert decisions captured continuously. Role transition rework eliminated.
Mechanism: continuous capture during normal operations — not retrospective documentation after departure
Mechanism: continuous governance across 10 plants — report is a retrieval, not an exercise
High
Complaint Root Cause
28,929 complaints traceable to the exact decision. Resolution: query, not weeks.
Mechanism: traceability from outcome to authorised decision — immediately available
Medium–High
New Plant Commission
Pithampur + Mysuru governed from go-live. Retrofit cost eliminated entirely.
Mechanism: GuardianLedger™ begins at Commission by design — not installed after patterns set
Strategic
10 / 17
Why Now
Four reasons the window is open right now.
01
New Plants Coming Online
Pithampur and expanded Mysuru being commissioned. GuardianLedger™ begins before go-live — design principle, not option. The window closes when those plants open.
02
Regulatory Scrutiny at Peak
CCI investigation. BRSR board-governed. Ecomark 2024. Liquid Waste Rules. BIS maintenance. OCEMS at 10 plants. All simultaneously. Tamper-evident records are the evidence — not asserted, proved.
03
Margin Recovery Without the Price War
200 basis point compression is partly recoverable through AI-driven operational precision — independent of raw material prices and competitor behaviour. Structural, not circumstantial.
04
Your AI Agenda Is Already Set
EY Techathon 6.0: you published your B2B RFP agentic AI challenge. SkyEdgeAI delivers that architecture — and three dimensions the student teams could not have seen. Engage before a competitor does.
11 / 17
The Proposal
Three tiers. Full platform. One yes, agreed today.
Tier One · Immediate · 30 Days
Decision Landscape Mapping
Two India plants of your choice — read-only observation
Map where decisions are made, by whom, with what traceability
Highest-value intervention points mapped to your P&L
Quantified ROI estimate — yours to keep
Zero integration · Zero deployment · Zero risk
Tier Two · 90 Days from Commission
IndustrialGuardian™ Deployment
Discover: regulatory mapping, AI decision inventory, integration assessment
Design: GuardianLedger™ config · All four SkyConnect™ layers specified
Months 9–12: Décor, services, and projects governed to core standard
Throughout: GuardianOS™ governs the full platform lifecycle
Agreed today. Tier One starts this week. Full platform live within 12 months of that first yes.
12 / 17
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. Each role sees what they need — at the right level of abstraction. Board: governance KPIs, compliance posture. Compliance: exception flags, framework alignment. Operators: predictions and approval requests. IT: integration health, model performance.
⚙️ How Human-in-the-Loop Works
Operator on Mysuru line sees TwinCore™'s batch prediction and the AI's 95–97% confidence classification. One tap: approve or decline. That interaction creates the GuardianLedger™ record. Structurally enforced — not a configuration option. No AI action executes without explicit human approval through the Control layer.
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, full response chain documented AP
Board governance dashboard — real-time compliance posture across all 10 plants, BRSR performance indicators AP
Regulatory authority view — structured CPCB access interface without exposing operational systems AP
Incident response coordination — governed workflow from alert to resolution with complete audit trail
B2B bid approval — Sales/Technical/Pricing agent outputs authorised by commercial leadership before submission AP
13 / 17
Capability Reference · 02 of 05
TwinCore™ — Digital Twin Engine
Live, continuously updated model of your operational environment. Models consequences before decisions are made.
🌐 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 simultaneously. Not a static simulation — a live, continuously validated representation updated in real time as sensor data flows in. Before any decision: the twin shows what will happen if that decision is made.
🏭 Paint Plant Specifics
Models batch deviation consequence: colour shift probability, viscosity impact, yield loss — before the operator authorises. Raw material substitution impact: formulation consequence, quality risk. Production scheduling: capacity vs incoming orders. Energy consumption against Ecomark 2024's 20% reduction target. Emissions against OCEMS permit thresholds across all 10 plants. Every output is a governed intelligence record in GuardianLedger™.
Use Cases — Asian Paints
Batch deviation modelling — colour, viscosity, yield before authorisation AP
Raw material substitution impact — formulation and quality risk before approval AP
Energy modelling against Ecomark 2024 20% reduction and BRSR energy disclosure AP
New plant commissioning twin — Pithampur and Mysuru modelled before go-live AP
14 / 17
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
You have CCTV video analytics. EdgeVision™ connects through SkyConnect™ Southbound and adds the governance layer your existing analytics cannot provide: cross-reference reconciliation — confirming physical execution against the governed decision record; deviation detection — flagging gaps between authorised and executed action immediately; governed inference records in GuardianLedger™. Sub-100ms edge processing. No raw video stored. No cloud dependency. Your CCTV investment amplified, not replaced.
📊 AI Analytics — Three Named Applications
Energy Efficiency Intelligence: AI-governed analysis against Ecomark 2024 20% target — demand management, load shifting, compressed air, thermal process scheduling, BRSR energy disclosure evidence.
Predictive Incident Analysis: Equipment degradation prediction from sensor patterns, safety parameter drift before threshold breach, quality deviation early warning across batch populations.
Cross-Plant Pattern Intelligence: Systemic quality and compliance issues invisible at single-plant level — surfaced by pattern recognition across all 10 governed plant records.
Use Cases — Asian Paints
Floor deviation detection — authorised vs executed action reconciled in real time AP
Energy efficiency governance — AI decisions evidenced against Ecomark 2024 AP
Predictive incident analysis — equipment degradation and safety drift detected before threshold breach AP
Quality deviation early warning — AI pattern recognition across batch populations AP
15 / 17
Capability Reference · 04 of 05
ESG & Compliance Layer — Every Framework. Continuously.
Named frameworks. Named obligations. Continuous evidence — not periodic assembly at filing time.
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 sensor to compliance record.
Ecomark 2024 Active
BIS certification · Effluent and emission standards · 90% biodegradable packaging · CPCB air pollution controls · 20% energy reduction. Each criterion continuously tracked by AI Analytics 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 management 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 manual data assembly exercise. External assurance ready.
CPCB / SPCB CTO / COP
Consent to Operate compliance. Every decision against permit conditions evidenced. Real-time exception alerting. Proactive regulatory communication issued at Commission confirming governance is live.
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 greenwashing guidelines require substantiated environmental claims. Low-VOC, Green Assure, and Ecomark product claims across hundreds of SKUs evidenced by continuous governed records in GuardianLedger™.
Data Governance Note
DataGuardian™ enforces data sovereignty, retention policies, and access controls across all platform data. No data leaves designated data residency boundaries. Full audit trail from source to governed record — satisfies CPCB, BRSR, and internal audit data provenance requirements.
16 / 17
Capability Reference · 05 of 05
B2B Tender Intelligence + Full Use Case Register
The Techathon challenge mapped to SkyEdgeAI — and 25+ Asian Paints-applicable use cases across the platform.
📋 EY Techathon 6.0 — Mapped to SkyEdgeAI
FMCG Problem Statement IV · Agentic AI Architecture
RFP Discovery: Data Fabric + AI Analytics — continuous monitoring across government portals, PSU websites, GeM. Real-time alert on qualifying tender.
SKU Matching: Proprietary AI at 95–97% accuracy — Spec Match % metric, ranked recommendations. Minutes not days.
Parallel Orchestration: Command & Control Layer — Sales, Technical, and Pricing agents run simultaneously. Your sequential bottleneck resolved.
Bid Governance: GuardianLedger™ — every bid decision permanently recorded. The dimension student teams at Techathon could not have seen.
SKU Gap Intelligence: AI Analytics patterns recurring spec gaps across RFP history. Commercially valuable new SKUs surfaced for R&D prioritisation.
📚 Full Use Case Register — Asian Paints Applicable