Advisory · Automation

Agentic Playbook

An advisory engagement that plans where autonomous agents should act, how to govern them, and how to close the gap between agentic experimentation and measurable business impact.

Built for ExecutiveOperationsAI & DataRisk

Sample deliverable

Agentic Playbook

1 Public safety
2 Road & transit
3 Parks & recreation
4 Housing
5 Digital services

Resident priorities ranked by level of need and urgency.

What it does

Plan agent-based automation, with governance built in.

Map where agents act

Identify the processes where autonomous agents create value, so effort targets real automation, not demos.

Design the governance

Define human-in-the-loop, action limits, and audit, so autonomy stays safe and accountable.

Prioritize by value and risk

Rank agent use cases on payoff and exposure, so you scale the safe wins first.

Close the value gap

Build the path from pilot to scaled impact, so agentic experiments become EBIT, not science projects.

How it works

01

Map the processes

Find where agents can act autonomously across the business.

02

Prioritize

Rank use cases by value and risk.

03

Design governance

Set human-oversight, action limits, and audit.

04

Pilot

Prove one use case in one function with guardrails.

05

Scale

Sequence the path from pilot to enterprise rollout.

What you get

1 Tier-1 support
2 Claims triage
3 Procurement intake
4 Scheduling
5 Reporting

Agent use-case map

Where agents can act, ranked by value and risk, so the safe wins lead.

Human-in-the-loop defined Risk
Action limits set Eng
Audit logging on Eng
Escalation paths Ops

Governance guardrails

The oversight controls that keep autonomous action safe and accountable.

PilotOne function
ExpandMulti-function
ScaleEnterprise

Pilot-to-scale plan

The sequenced path from a single-function pilot to enterprise rollout.

Methodology

Autonomous agents without governance are a liability

Letting agents act with no oversight invites risk; banning them forfeits the upside. We map where agents should act, design the human-in-the-loop model, and build the path from pilot to scaled impact.

Ungoverned experimentation

  • Agents piloted with no oversight model
  • Use cases chosen by novelty, not value
  • No guardrails for autonomous action
  • Pilots that never reach measurable impact

Intellimark Agentic Playbook

  • Maps processes where agents can act autonomously
  • Designs the human-in-the-loop and governance model
  • Prioritizes use cases by value and risk
  • Builds the path from pilot to scaled impact

Market reality

Why this matters now

23%

of organizations are scaling an agentic AI system in at least one function

McKinsey

39%

report enterprise EBIT impact from AI so far, the gap a playbook closes

McKinsey

Common
questions

What is the Agentic Playbook? +

An advisory engagement that plans where autonomous agents should act, how to govern them, and how to get from pilot to measurable impact.

Why is governance central? +

Autonomous agents act on their own, so human-oversight, action limits, and audit are what make scaling safe rather than reckless.

Who uses it? +

Executive, operations, and AI/data leaders planning agent-based automation with risk owners at the table.

What do you get? +

A prioritized agentic use-case map, a governance and human-oversight model, a pilot-to-scale rollout plan, and guardrails for safe autonomous action.

See what agentic playbook can do for your team

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