Case StudiesCompliance-tech SaaS
Agentic · B2B SaaS · compliance ops

Multi-agent workflow for compliance ops.

Replaced an analyst-heavy review process with a planning + tool-using agent — 78% of manual work removed, exceptions escalated to humans.

Compliance ops is where AI agents earn their keep — bounded scope, structured documents, clear right answers. We built the planner, the tools, and the eval harness that keeps the whole thing honest.

The headline
78%
manual work removed
Profile
  • ClientCompliance-tech SaaS
  • PillarAI Engineering
  • IndustryB2B SaaS
78%
manual work removed
100%
decisions cite sources
RAGAS
scored on every release
≤24h
exception SLA
⌖ The brief

What they asked for.

Compliance analysts were doing the same repetitive triage 80% of the time. Build a multi-agent workflow that handles the routine cases end-to-end and escalates the genuinely ambiguous ones to humans, with audit-grade evidence on every decision.

▣ How we approached it

The approach.

01

Planner + tool-use

A planner that decomposes the review task and a tool-using executor with access to the corpus, the rule set, and structured-output validators.

02

RAG + reranker

Hybrid retrieval over the rule corpus, reranker tuned to the domain, citations on every decision.

03

Human-in-loop on exceptions

Confidence-gated escalation; analysts only see what the agent flagged as ambiguous, distressed, or out-of-scope.

04

Eval discipline

Golden-task set, RAGAS faithfulness scoring, regression checks on every prompt change. Quality drops block deploy.

◇ What we shipped

Deliverables.

Agentic workflow runtime

Planner, executor, retries, rollback, observability.

RAG over rule corpus

Hybrid retrieval with reranker, citations on every output.

Analyst escalation surface

Queue, evidence pack, decision capture, audit trail.

Eval harness

Golden tasks, RAGAS scoring, regression CI.

↑ Outcomes

The numbers.

78%
manual work removed
100%
decisions cite sources
≤24h
exception SLA met
Now booking Q3 2026

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