Context
Leadership wanted a practical view of agentic AI opportunities without committing to a platform or implementation program too early.
The organization had strong process documentation, fragmented tooling, and a growing number of informal AI experiments.
Problem
Teams were using AI unevenly, and executives lacked a consistent way to compare workflow value, operational risk, and technical readiness.
- No shared definition of an agentic workflow.
- Limited visibility into data access and approval paths.
- Unclear ownership for evaluation and post-launch monitoring.
Workflow
The assessment mapped recurring decisions, handoffs, exception paths, and human review points across each function.
Each workflow was scored for autonomy potential, data reliability, risk exposure, and user adoption pressure.
01
Decision inventory
Map operating decisions
Interviewed function owners to identify recurring decisions, handoffs, judgment points, and pain around current AI experimentation.
02
Readiness score
Score agent readiness
Assessed each workflow against value, data access, exception rate, control maturity, and tolerance for autonomous action.
03
Pilot shortlist
Prioritize pilot candidates
Separated assistive, supervised, and high-control opportunities so leadership could fund the safest near-term pilots first.
04
90-day roadmap
Define the operating model
Created the review cadence, governance owners, evaluation gates, and roadmap needed before any workflow moved into build.
Architecture
The recommended architecture centered on narrow agents connected to governed tools, retrieval sources, workflow queues, and auditable human approval steps.
- Shared orchestration layer for workflow state.
- Permissioned retrieval across approved knowledge sources.
- Evaluation harness before any production automation.
Workflow orchestration
A central workflow layer coordinates task state, handoffs, review checkpoints, and evidence requirements across candidate agents.
- Task queue
- Approval states
- Escalation routing
Governed knowledge access
Agents retrieve from approved operating sources only, with source visibility and permission boundaries treated as launch requirements.
- Role-scoped retrieval
- Source citations
- Access review
Evaluation foundation
Pilot readiness depends on repeatable test sets, quality thresholds, and monitoring signals before production autonomy expands.
- Golden tasks
- Quality thresholds
- Monitoring cadence
Governance
The governance model separated low-risk assistive workflows from higher-risk autonomous actions that required review, monitoring, and escalation rules.
Metrics
The readiness score combined operational value, control maturity, implementation complexity, and measurable time-to-impact.
- Workflow value score.
- Risk and control maturity score.
- Pilot confidence score.
- Functions assessed
- 8
- Candidate workflows
- 34
- Executive roadmap
- 90 days
Commercial, finance, support, legal, and operations teams.
Prioritized by value, feasibility, risk, and adoption readiness.
Sequenced pilots, governance checkpoints, and enablement work.
Roadmap
The roadmap recommended two low-risk workflow pilots, one governance workstream, and an executive review cadence before broader investment.
30 days
Confirm pilot scope
Validate the top two workflows, document access requirements, and define evaluation samples with subject-matter experts.
60 days
Prototype with controls
Build supervised workflow prototypes with human approval gates, citations, and operational logging.
90 days
Decide scale path
Review quality, adoption, control maturity, and business value before expanding autonomy or adding more workflows.
Reflection
The useful outcome was not a long list of AI ideas. It was a sharper operating thesis for where agentic systems belonged and where they did not.
Technical depth
System assumptions and operating controls.
Architecture diagram
The assessment assumed a supervised agent architecture where workflow state, retrieval, evaluation, and approvals are visible before any autonomous action is allowed.
01
Workflow intake
Business teams submit candidate workflows with owner, value, risk, and operating context.
02
Source review
Approved systems and knowledge sources are mapped before retrieval or tool access is designed.
03
Agent workspace
Narrow agents prepare evidence, recommendations, and readiness scores for human review.
04
Governed decision
Leaders review score, controls, and roadmap before a workflow moves into pilot build.
Agent loop explanation
Loop 1
Observe
Collect workflow context, data availability, exception patterns, and current decision owners.
Loop 2
Reason
Score value, feasibility, autonomy tolerance, and control maturity against the readiness rubric.
Loop 3
Recommend
Propose pilot tier, required controls, and the next operating decision for leadership.
Loop 4
Review
Human owners confirm risk tier, evidence quality, and whether the workflow should move forward.
Tool-use table
Tool
Workflow mapper
Purpose
Structure interviews and process notes into repeatable task maps.
Input
Function interviews, SOPs, system notes
Output
Decision and handoff inventory
Guardrail
Business owner validates every workflow map.
Tool
Readiness scorer
Purpose
Apply a transparent scoring rubric across candidate workflows.
Input
Value, data, risk, review, integration signals
Output
Readiness score and pilot tier
Guardrail
Scores are advisory, not automatic approvals.
Tool
Roadmap generator
Purpose
Draft the first 30, 60, and 90 day plan.
Input
Pilot tier, gaps, ownership model
Output
Sequenced roadmap
Guardrail
Leadership approves scope and owners.
RAG and data source assumptions
Operating procedures
Operations owner
Procedures are current enough to support workflow classification and exception mapping.
Knowledge base
Knowledge owner
Policies and prior decisions can be permissioned by function and cited in recommendations.
System metadata
Data owner
Workflow volume, cycle time, and exception signals are available at an aggregate level.
Evaluation metrics
Readiness score consistency
90% reviewer agreement
Compare rubric output against SME scoring on sampled workflows.
Source coverage
80% approved-source coverage
Audit whether each pilot candidate has sufficient governed source material.
Pilot confidence
Two validated low-risk pilots
Review final candidates against value, feasibility, risk, and ownership gates.
Failure modes
Over-scoped autonomy
Workflow moves to build before controls and review paths are ready.
Use autonomy tiers and require launch evidence before pilot approval.
Stale process documentation
Recommendations optimize around outdated operating assumptions.
Require SME validation and source freshness checks.
No accountable owner
Pilot quality, adoption, and incident handling become unclear.
Require named business, control, and evaluation owners.
Human-in-the-loop checkpoints
Workflow qualification
Function lead
Confirm whether the workflow belongs in the assessment scope.
Risk tier approval
Control owner
Approve autonomy tier and required review path.
Pilot funding decision
Executive sponsor
Select workflows for the first implementation cycle.