Proof, in production.

Context-engineered AI, running in production. Each case study sets out the problem, what we built and the measured result, from ₹88 crore in property-tax recovery linked to Voice AI at Navi Mumbai Municipal Corporation to auditable request triage for global financial institutions.

#4QCI national e-governance rank
Livein production at NMMC
SKOCHAward nominee, NAVI VANI
12case studies

Twelve case studies, one standard of proof.

Filter by sector, then open any case for the challenge, what we built and the measured result.

Navi Vani (NAVI-VANI), AI agents for NMMC property-tax recovery01SKOCH nominee
Municipal Corporation · Navi Vani

Navi Vani: AI Agents for Navi Mumbai Municipal Corporation’s Property-Tax Recovery

₹88.84Crcollected from called properties in a 7-day pilot
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Grievance Intelligence case study02
Municipal Corporation · Grievance Intelligence

Predicting SLA Breaches in Citizen Grievances Before They Happen

5intake channels, one classification logic
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RTS Intelligence case study03
Municipal Corporation · RTS Intelligence

Detecting Application Deficiencies Before an Officer Opens the File

5service families scrutinised before review
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Property-Tax Intelligence case study04
Municipal Corporation · Property-Tax Intelligence

Ranking Municipal Defaulters by Recoverable Value Without Replacing the Core Tax System

0core tax systems replaced
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PTX Brain case study05
Municipal Corporation · PTX Brain

Turning 184 Database Tables into One Conversation for Municipal Revenue Decisions

184tables behind one conversation
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SAMIRA case study06
Enterprise & Government · SAMIRA

Structuring Every Incoming Request Before It Reaches CRM, ERP or ITSM

12industries on one platform
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dbSAMIRA case study07
Enterprise & Government · dbSAMIRA

Making Every Triage Decision Reconstructable for Regulated Enterprises and Government

100%of decisions logged with a rationale
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AI Email Triage case study08
Financial Services · AI Email Triage

Reading Context, Not Keywords, Across High-Volume Operational Mailboxes

27operational classes, from roughly 15
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Monitoring Control Plane case study09
Financial Services · Monitoring Control Plane

Consolidating 40 Monitoring Metrics into One Enterprise Control Plane

≈40metrics standardised on one plane
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Forward-Deployed Engineering case study10
Financial Services · Forward-Deployed Engineering

Moving a Global Financial Institution from AI Interest to AI in Production

8stages that loop into the next department
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Survey Intelligence case study11
Financial Services · Survey Intelligence

Hearing Every Employee: Turning Open-Text Survey Feedback into Insight Leadership Can Act On

≈989structured findings from 498 responses
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Smart Green Renovation case study12
Sustainability & Real Estate · Smart Green Renovation

Cutting Model Error 25.8% to Prioritise Green Renovation Across a Property Portfolio

−25.8%model error, worth an estimated €3.7–4M
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Context, structured.

We gather every signal into one layer, give it structure, and activate it into decisions people can explain. Write to hello@allcontext.ai or call +91 93223 60796.