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Activate Infrastructure Data

From Siloed Assets toIntelligent Operations— Unlocking Value Across GMR

GMR’s vision is to create lasting institutions and deliver value at scale through responsible, innovative infrastructure. Yet, with data fragmented across airports, energy, and transport, operational blind spots persist—impacting risk, transparency, and excellence.

SCIKIQ contextualizes and activates GMR’s enterprise data—enabling cross-asset visibility, rapid root-cause analysis, and AI-driven action. The result: accelerated response, protected revenue, and a future-ready digital core.

01
Enterprise 360What is happening?
02
Knowledge GraphWhy is it happening?
03
AI CopilotTell me, in plain language
04
Agent FactoryDon't just tell me — fix it
What we know

GMR Group — the intelligence behind this page

Captured from 26 sources across strategy, leadership, lines of business, competition, geographies, capabilities and recent signals — and used to ground everything below.

Who they are

GMR Group is India's leading infrastructure conglomerate, operating major airports, energy plants, transport networks, and urban development projects across India and Southeast Asia.

Strategic priorities

  • Risk management and operational transparency
  • Business excellence and process innovation
  • Sustainable, responsible infrastructure
  • Digital transformation and AI adoption
  • Regulatory compliance and governance

Lines of business

  • Airports
  • Energy
  • Transportation
  • Urban Infrastructure
  • Hospitality & Retail

Geographies

  • India (Delhi, Hyderabad, Goa)
  • Southeast Asia (Medan, Indonesia)
  • Global (expansion focus)

Competition

  • GVK Group
  • NHAI (for highways)
  • International airport operators
  • Emerging digital-native infra players

Leadership

  • Grandhi Mallikarjuna Rao - Chairman
  • G.B.S. Raju - Business Chairman, Airports
  • Kiran Kumar Grandhi - Corporate Chairman
  • Srinivas Bommidala - Business Chairman, Energy & International Airports
  • Mrinal Mayank - Digital Business Partner

Capabilities

  • AI-powered digital twin for airports
  • Real-time analytics and dashboards
  • Comprehensive asset and plant data
  • Strong vendor and partner ecosystem
  • Cloud and IoT adoption

Recent signals

  • Launched AI-powered digital twin for passenger experience
  • Divested 26% stake in Portus Ventures (focus on core infra)
  • Consistent ACI and Skytrax service rankings
  • Investing in advanced automation and process mining
  • Aggressive digital transformation roadmap
The shift

Four questions every operator asks — answered by one architecture

The maturity curve runs from visibility, to explanation, to natural-language reasoning, to action — and each step depends on the one before it.

01
Layer 1 · Enterprise 360
What is happening?

Unify operational, asset, and customer data across airports, energy, and transport—enabling real-time visibility into disruptions, asset health, and service impacts.

Unified View
02
Layer 2 · Knowledge Graph
Why is it happening?

Model relationships across assets, vendors, systems, and events—tracing cascading failures from root cause to revenue impact, and surfacing hidden risks.

Connected Intelligence
03
Layer 3 · AI Copilot
Tell me, in plain language

Ask complex operational or commercial questions in natural language—instantly get context-rich, explainable answers grounded in real data.

Conversational Insights
04
Layer 4 · Agent Factory
Don't just tell me — fix it

Autonomously trigger remediation—reroute resources, notify vendors, or launch workflows to minimize disruption and protect revenue.

Autonomous Action
The architecture

From data visibility to autonomous execution

Built bottom-up, because trust compounds upward: agents are only as safe as the copilot's grounding, the copilot only as reliable as the graph, the graph only as complete as the 360° model beneath it.

01

Enterprise 360

What is happening?

Integrate and harmonize data from airports, energy plants, transport networks, and vendors for a single source of truth.

200+ pre-built connectors for OT, IT, IoT, and cloud systems Business 360 dashboards for asset, operations, and customer Real-time event and incident ingestion
02

Knowledge Graph

Why is it happening?

Map interconnected relationships—assets, vendors, events, compliance, and customer journeys—across the enterprise.

Dynamic knowledge graph builder Root-cause and impact path analysis Contextual metadata and lineage
03

AI Copilot

Tell me, in plain language

Conversational interface for operational, commercial, and risk queries—grounded in live data and graph context.

GenAI Studio: 'Talk to your data' Semantic search across structured/unstructured data Explainable, auditable answers
04

Agent Factory

Don't just tell me — fix it

Trigger autonomous workflows—remediation, escalation, or optimization—based on real-time data and graph insights.

No-code agent builder Automated incident response and compliance workflows Closed-loop integration with IT/OT systems
Layer 1 · Enterprise 360 — the build

How we unify GMR Group's data into one business 360

Enterprise 360 is the foundation every layer above reuses. We don't integrate systems — we integrate business concepts. GMR Group's data stays where it is; SCIKIQ connects, contextualizes and resolves it into trusted entity 360s.

Your systems today — siloed
AIMS Ops PlatformBHSIoT Sensor NetworkVendor PortalCRMFinancePOSCompliance
ingest · no data movement

Connect

200+ no-code connectors pull from every source — no rip-and-replace, no data movement.

Contextualize

The metadata & contextualization engine maps each field to a shared business glossary.

Resolve & model

Entity resolution stitches records across systems into one record per real-world entity.

Govern

Lineage, quality & access control attach to every entity — so the 360 is trusted.

resolve into business entities
Unified business 360s — entities, not systems
Customer 360
CRM · Billing · Service

One trusted profile per customer — across every channel and system.

Asset 360
EAM · IoT · Maintenance

Every asset with its live health, history and failure risk.

Operations 360
ERP · Scheduling

Orders, service levels and capacity in one operational view.

Vendor 360
Procurement · Contracts

Every supplier with SLA, spend and delivery risk.

Finance 360
ERP · GL · AP/AR

Revenue, cost and exposure traceable to their operational drivers.

Built once, each entity 360 becomes a connected node set in the Knowledge Graph (Layer 2) — and the grounded foundation for the Copilot and Agents above.
Why us

Why SCIKIQ - not another data platform

vs. building it yourself

SCIKIQ delivers 85% faster integration and 90% lower IT cost than custom builds—no-code, AI-first, and proven at global scale.

vs. point tools / BI dashboards

Goes beyond dashboards—unifies, contextualizes, and activates data for autonomous action, not just reporting.

vs. generic data fabric / lake

Purpose-built for complex, cross-asset infra ops—knowledge graphs, GenAI, and agentic automation out-of-the-box.

vs. raw LLMs/chatbots

Grounds all answers in enterprise data and graph context—explainable, auditable, and actionable.

The outcome

One version of the truth, for the people who run the business

When the four layers are in place, leadership sees a single live view — every number traceable to its source, every alert to its root cause.

GMR Operations Control Tower
Real-time, cross-asset incident visibility and response
LIVE
Unplanned Asset Downtime (hrs)
6.5
-40%
Incident-to-Resolution Time
2.1 hrs
-55%
Revenue at Risk (INR Cr)
8.2
-35%
Compliance Violations
1
-90%

Asset Downtime Trend

Monthly unplanned downtime across major airports (Delhi, Hyderabad, Goa)

Revenue Impact by Incident Type

Top 4 incident categories (last quarter)
Root cause Vendor-maintained baggage handling subsystem failure (BHS-DEL-17) cascaded to passenger delays, missed connections, and revenue loss. Triggered automated vendor escalation, rerouted passenger flows, and initiated on-ground support—minimizing impact and restoring normalcy 55% faster.
Layer 2 · Knowledge Graph

A living model of the business — explore it

Entities and their typed relationships as one connected, physics-driven graph. Drag nodes, scroll to zoom, click to inspect — or trace the live scenario from root cause to business outcome.

drag · scroll to zoom · click a node
Layer 3 · AI Copilot

The question is simple. The answer needs context.

Ask the SCIKIQ Copilot about any operational, customer, or commercial impact—get clear, contextual answers. Language models supply the fluency; the graph supplies the truth.

SCIKIQ CopilotGrounded on the GMR Group knowledge graph
● ONLINE
Hi 👋 I'm grounded on GMR Group's live operational graph — ask me anything. Try a suggestion below.
Try:
Layer 4 · Agent Factory

The last step is the hardest: from insight to action

Every agent draws on the same graph and semantic layer — then closes the loop with a real transaction in the source system.

Vendor Escalation Agent
Auto-notify and dispatch vendor on critical asset failure
Critical alert from BHS IoT sensor
Passenger Flow Reroute Agent
Reroute passengers and update flight connections
Flight delay exceeds 20 minutes
Revenue Impact Analyzer
Estimate and report revenue at risk in real time
Incident impacts commercial areas
Compliance Audit Agent
Auto-update audit trail and compliance status
Incident with regulatory impact
Agent execution log
▸ Idle — press “Run agent” to watch an agent detect, reason and act.
The board question

Engineered for trust

“Can we trust it?” — answered by design, not by promise.

Lineage
Every data product, insight, and agent action is fully traceable—who, what, when, and why.
Security & Access
Enterprise-grade controls, RBAC, and audit logs—built for regulated infra environments.
Explainability
Copilot answers and agent actions are grounded in graph context—always explainable and auditable.
Data Quality & Compliance
Automated quality checks, anomaly detection, and compliance reporting—fewer violations, more confidence.
Use cases

Where it pays off, across the business

Every leader sees themselves — each use case builds on a business 360 and the four pillars it needs: 1 Enterprise 360 · 2 Knowledge Graph · 3 AI Copilot · 4 Agent Factory.

Operations

Real-time incident tracing and response

Detect, trace, and resolve asset failures or service disruptions across airports, energy, and transport—minimizing downtime and SLA risk.

Asset 360 · Vendor 360
1234pillars
Finance

Protect and quantify revenue at risk

Instantly estimate commercial impact from operational incidents—enabling rapid mitigation and transparent reporting.

Finance 360 · Vendor 360
1234pillars
Customer Experience

Minimize passenger disruption

Reroute flows, notify staff, and proactively manage customer communications when delays or outages occur.

Customer 360 · Operations 360
1234pillars
Compliance & Risk

Automate compliance and audit trails

Auto-log incidents, actions, and regulatory reporting—reducing compliance violations by up to 95%.

Operations 360
1234pillars
Vendor Management

Orchestrate vendor SLAs and escalations

Monitor vendor performance, trigger escalations, and ensure accountability with full lineage and audit.

Vendor 360
1234pillars
The ambition

One context layer, every part of the business

Built once, the context layer becomes shared infrastructure — so each new AI initiative starts from enterprise context, not a blank integration backlog.

SCIKIQ for GMR Group

Contextualizing and Activating Infrastructure Data

Agent FactoryAutonomous execution
AI CopilotConversational, explainable intelligence
Knowledge GraphConnected context & relationships
Enterprise 360Unified, AI-ready data foundation
Across every part of the business
AirportsEnergyTransportationUrban Infrastructure
On top of the systems you already run
AIMS Ops PlatformBHSIoT Sensor NetworkVendor PortalCRMFinancePOSCompliance
The path forward

A 90-day proof of value

We would prove the context layer in three focused sprints — earning the right to scale with evidence, not slideware.

Phase 1 · 30 days

Data Unification & Incident Graph

01

Connect core airport, asset, and vendor systems; build live knowledge graph for incident tracing.

  • Connect AIMS, BHS, IoT, CRM, Vendor Portal, POS, Compliance
  • Ingest 6 months of operational and incident data
  • Build knowledge graph of assets, events, vendors, and impact paths
  • Configure dashboards for real-time incident visibility
Phase 2 · 60 days

Copilot & Agent Activation

02

Deploy AI Copilot for plain-language queries; implement first autonomous remediation agents.

  • Enable GenAI Copilot for operational and commercial queries
  • Deploy Vendor Escalation and Revenue Analyzer agents
  • Train teams on no-code agent builder
Phase 3 · 90 days

Scale & Monetize Data Products

03

Extend to energy and transport BUs; launch data products for internal and partner use.

  • Expand connectors to energy and transport assets
  • Develop cross-BU dashboards and data products
  • Enable data sharing and monetization with partners

The bottom line

GMR achieves real-time, cross-asset visibility, rapid incident response, and AI-driven operational excellence—protecting revenue and customer experience.

Where to start

See your incident graph and control tower in 30 days.
1Identify top 2-3 incident types (e.g., asset failure, vendor SLA, customer disruption)
2Connect core systems (AIMS, BHS, IoT, CRM, Vendor Portal, POS)
3Pilot SCIKIQ Copilot and Agent Factory on real operational data
Ready to activate your data? Book a SCIKIQ pilot for GMR’s next incident—see the value in weeks, not years.