CASE STUDIES
Proof, not promises
How organisations used context engineering, agentic harnesses and local AI to change what a workday looks like.
FINANCIAL SERVICES
−58%
time-to-answer across compliance teams
120,000 documents, one knowledge graph
CHALLENGE
Decades of contracts, policies and memos scattered across shares. Compliance answers took days of manual digging and senior staff time.
SOLUTION
Full ingestion pipeline: files chunked and embedded into a vector DB, entities and obligations extracted into a knowledge graph. Hybrid RAG with citations, deployed behind their firewall.
−58% time-to-answer100% citation coverage14-day ingestion
HYBRID_RAGKNOWLEDGE_GRAPHON_PREM
LEGAL
3.2×
client intake capacity, same headcount
A virtual paralegal in the inbox
CHALLENGE
Intake requests arrived by email at all hours. Partners triaged manually; slow responses were losing engagements to faster firms.
SOLUTION
A virtual AI employee connected to the shared inbox via an email gateway. It triages intake, drafts engagement letters grounded in precedent, escalates edge cases with full audit trail.
3.2× intake capacity<15 min first responseZero unreviewed sends
VIRTUAL_EMPLOYEEEMAIL_GATEWAYHARNESS
MANUFACTURING
−63%
inference cost after moving on-prem
Local AI on the factory floor
CHALLENGE
Cloud AI costs scaled with every query, and sensitive process data was leaving the building to third-party APIs.
SOLUTION
Right-sized GPU hardware on site, open models fine-tuned on their procedures, and an agentic harness wired into Teams for the floor supervisors.
−63% inference costZero data egressFlat monthly cost curve
LOCAL_AIOPEN_MODELSTEAMS_GATEWAY
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