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Case studiesPublic sector SaaSIllustrative engagement AI

Public-sector SaaS platform. Shipped a RAG agent for case-officers.

Shipped a RAG agent for case-officers, saved thousands of hours in the first quarter.

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This is a representative engagement pattern, not a specific named client. Numbers are typical of the work we ship in this category. We share named references on a private intro call, with the client’s explicit permission.

Engagement · 4 months to GAPublic sector SaaSAI in production
Illustrative

6,000+

Hours saved · 90d

−70%

Avg case prep time

4.7 / 5

Officer NPS

Challenge

A public-sector SaaS team wanted to ship an AI agent for case-officers, but couldn't afford the kind of incident a bad AI deployment would cause.

Approach

  • Eval harness built before any production code, against twelve years of historical case data.
  • RAG architecture with retrieval citations, refusal logic, and explicit policy guardrails.
  • Agent embedded inside the existing case-management UI, not a separate tool.

Outcome

6,400 hours saved in the first 90 days, average case-prep time down 71%, and an officer NPS of 4.7 / 5. Zero policy incidents.

Brief us on your engagement
How we ran it

The shape of the engagement.

Week 1 to 2

Eval first

Built the test harness on twelve years of anonymised case data, before any production code.

Week 3 to 6

RAG + guardrails

Retrieval pipeline, citation requirements, refusal logic, explicit policy gates.

Week 7 to 12

Embed & pilot

Agent embedded in the existing case UI, pilot with a controlled cohort of case officers.

Week 13 to 16

GA rollout

Phased rollout to all officers with weekly eval and feedback review.

By the numbers

Public-sector SaaS platform · the result.

Metrics agreed in week one, reviewed weekly with the sponsor and reported quarterly to the exec team.

  • Real metric, not vanity. Reviewed weekly.
  • Multiple capabilities, one accountable team.
  • Stack chosen for fit, not familiarity.

6,400

Hours saved · 90 days

-71%

Avg case-prep time

4.7 / 5

Officer NPS

0

Policy incidents at rollout

"RAG-backed agent over years of case-law, trained against an evaluation harness and deployed inside the existing case-management product."
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