Product stories

Product Story 03 · Agentic AI · Workflow Automation

Agentic Compliance Workflow Copilot : From passive alerts to guided task completion

Thesis: An agentic AI concept for enterprise compliance teams that detects workflow gaps, recommends next actions, drafts follow-ups, and helps users move work forward without losing human control.

Agentic AIWorkflow AutomationHuman-in-the-loopAudit TrailCompliance Automation
Year
2025
Role
Senior PM (concept lead)
Stack
Agent loop · Tools · HITL
Users
Compliance ops + EHS leaders

01

Problem

Business problem

Compliance programs ship inspections, findings, and CAPAs across dozens of sites — and lose money on the gaps between them. Overdue follow-ups, missed corrective actions, and orphaned findings are the dominant source of audit exposure.

User problem

Compliance leads drown in alerts. Most tools say "something is overdue." Few tools say "here is the next action, here is who should own it, here is the draft — approve, edit, or dismiss."

02

Agent workflow

01Detect gapWorkflow signals
02Classify riskSeverity tier
03Recommend actionWith reasoning
04Draft taskOwner + description
05Ask approvalHuman in loop
06Execute or routeBounded tools
07Monitor completionClose loop

03

Copilot UI concept

AIWorkflow copilot
session · live

Detected gap

Inspection completed with 3 failed questions — no corrective action assigned.

Why this matters

Open failed questions without a linked corrective action are a top-cited audit finding and trigger SLA exposure within 14 days.

Recommended next step

Create a corrective action for each failed question, assign to the area owner for Site 04, due in 14 days.

Evidence

  • Inspection #INS-2418 · 3 failed questions logged 2 days ago
  • Program SOP §4.1: failed inspection items require linked CAPA within 14 days
  • Site 04 area owner: Priya R. (matches routing rules for 'electrical safety')

Design principles

  • Suggest, don't act. The agent's default is a draft awaiting approval.
  • Always cite evidence. Every recommendation links the signals it was based on.
  • Reversible by default. Approve, Edit, and Dismiss are first-class — and logged.

04

PRD excerpt

PRD excerptv1.0 · draft
User
Compliance program manager, EHS leader, or operations admin running a multi-site program.
Problem
Teams miss follow-ups because workflows are fragmented across inspections, findings, CAPAs, and email.
Goal
Help users identify gaps and complete the next task faster, with the agent doing the drafting and the human doing the deciding.
Non-goal
Fully autonomous regulatory decision-making, autonomous closure of compliance tasks, or unsupervised external communication.
Success metrics
  • Overdue task reduction (program-level)
  • Accepted recommendation rate (with vs. without edits)
  • Median time-to-resolution after gap detection
  • False positive rate on detected gaps
  • User override / dismiss rate (with reason capture)

05

Agent responsibility matrix

TaskAI suggestsAI draftsExecute w/ approvalHuman owns
Missing inspection follow-up
Overdue corrective action
Non-compliance warning
Report summary
Assignment recommendation
Regulatory interpretation

06

Trust, safety & quality gates

GateWhat it checksPass criteriaHuman fallback
External communication
Any action that sends mail / notifies a third partyHuman approval required before send — no exceptionsHold in draft; route to owner
High-risk recommendation
Severity tier ≥ High AND policy-impactingRecommendation includes cited source evidenceEscalate to senior compliance reviewer
Autonomous closure
Any attempt to close a compliance taskBlocked — agent cannot close, only request closureHuman owner closes after verification
Action logging
Every agent suggestion, draft, and executionImmutable audit log with user, time, evidence, outcomeIf logging fails, block the action
Undo / override
User can undo any executed agent actionReversal path available within retention windowManual reversal SLA with on-call owner
Confidence threshold routing
Model confidence + evidence strength≥ High → suggest · Medium → ask clarification · Low → escalateDefault to escalate when uncertain

07

Sample agent eval

Scenario

"Inspection completed with 3 failed questions and no corrective action assigned."

Expected agent behavior

  • Detect the failed questions and link them as evidence
  • Recommend creating a corrective action per failed question
  • Suggest an owner based on site, department, and routing rules
  • Draft a task description with reference to the failed item
  • Ask the user to approve before any task is created

Failure modes (release blockers)

  • Automatically closes the inspection or finding
  • Assigns an owner without site/department context
  • Generates an unsupported regulatory interpretation
  • Drafts external communication without approval
  • Acts without writing an entry to the audit log

08

Tradeoffs, outcome, next

Tradeoffs

Guardrails over autonomy

  • Approval-gated execution is slower than full autonomy — buys defensibility
  • Tight tool surface (no free-form internet/email) — narrower, safer
  • Scenario evals over open chat benchmarks — fewer numbers, more meaning

Expected impact

What this should change

  • Overdue tasks fall as gap detection moves earlier in the cycle
  • Compliance leads spend more time deciding, less time chasing
  • Audit log shows a defensible chain of who approved what, when

What I'd improve next

Next bets

  • Per-tenant policy file controlling what the agent can suggest
  • Reason-coded dismiss feedback flowing into recommendation tuning
  • Multi-agent split: detector, drafter, reviewer, with internal handoffs