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Enterprise AI Agent Governance Evidence & Implementation Kit

$249.00
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Enterprise AI Agent Governance for IT Leaders · the agent deployment decision, made governable · Evidence & Implementation Kit
Put AI agents into production and defend how they are governed, without building the control model from scratch.
Every control handed to you adopt-ready, from giving each agent its own identity and short-lived scoped credentials and bounding its tool access to real least privilege, through an eval harness and human gates for output quality, per-agent cost attribution and loop guards, and an entitlement-aware, injection-resistant context, to orchestration and vendor selection and a named owner for every agent, with the evidence a reviewer examines.
Ready in a weekend, not a quarter.

Here is the honest situation. Here is the honest situation. An AI agent is neither the human user nor the static application your governance was built for, so it falls into the gap between them. It holds an identity and acts on its own like a person, yet it runs at machine speed, chooses non-deterministically, chains tool calls against live systems, spends money on every step, and can be steered by the very content it reads. Deploying these at scale without a control model is how an organization ends up with dozens of over-privileged agents running under one shared credential, no way to tell which agent did what, no quality gate, and a cost line no one can explain. Doing this well means treating each agent as a first-class principal: its own identity with short-lived credentials and a tested kill path, tool and API access bounded to the intersection of the agent's least privilege and the invoking user's entitlements, an eval harness that gates every prompt, model and tool change and keeps watching for drift, per-agent cost attribution with loop guards and budgets, a context where retrieval enforces entitlements and all retrieved content is untrusted, an orchestration platform chosen on durable state and human-in-the-loop, vendors selected on evidenced governance, and a named owner and an inventory so nothing runs unseen. Where teams fall short is predictable: shared over-privileged identities, no revocation path, output shipped on a demo, cost discovered on the invoice, and retrieval that reads with the agent's rights instead of the caller's.

This Kit removes the guesswork. It is AI agent governance written as adopt-ready controls you personalize in a weekend, with the evidence a reviewer examines.

What you get, the moment you buy

18
Controls, adopt-ready. Every control, written so you personalize and apply it.
18
Evidence-they-examine checklists. For each control, exactly what a reviewer examines, plus where teams fall short, so you close the gap first.
1
Control Matrix, pre-built. Every control in a working spreadsheet, ready to record status, owner and evidence location.
1
Gap & Readiness Assessment. Score each control and the workbook returns your readiness as a single percentage, and exactly what to fix next.

Grounded in enterprise identity, application security and platform engineering practice applied to autonomous AI agents in production. Editable Word and Excel files.

An agent is a principal, not a feature
An autonomous system that holds an identity, acts on its own, spends money and can be steered by what it reads needs governing in its own right. This Kit builds the identity, least-privilege, evaluation, cost, context and orchestration controls that make an agent deployment defensible, with the evidence a reviewer asks for.

What one control looks like

This is the opening control, where governable identity begins. All 18 are built to this depth.

AAG-1 Issue a distinct identity to every agent AGENT IDENTITY AND CREDENTIALS
Put this control in place

Require [your organization name] to assign every AI agent its own distinct non-human identity registered in the enterprise identity system, prohibiting shared or reused identities across agents, so each action can be attributed to a specific agent, the impact of a compromise is contained to that agent, and one agent can be revoked without disturbing any other.

Control note.

Per-agent identity is the foundation every other agent control rests on, because you cannot least-privilege, cost-attribute or revoke an actor you cannot name.

Evidence a reviewer examines
  • An identity register listing every production agent and its distinct identity
  • A prohibition on shared agent identities recorded in the standard
  • Action logs showing each event attributed to a single named agent identity
Common finding they raise: Agents are run under a shared or human-linked identity, so actions cannot be attributed and one agent cannot be stopped without breaking the rest.

Why this is not another template pack

  • The evidence is the point. An agent governance posture you cannot evidence is a finding waiting to happen. This tells you what a security, risk or audit review examines and where teams fall short, for every control.
  • The agent specifics built in. Per-agent identity, short-lived credentials, least-privilege tool access, delegation, eval harnesses and human gates, per-agent cost attribution and loop guards, entitlement-aware retrieval, injection defense, durable orchestration and vendor selection are written into the controls, not left generic.
  • Built on real practice, not one person's opinion, grounded in how enterprises actually run identity, least privilege and platform engineering, applied to autonomous agents and where the decisions actually fail.
  • It compounds. This work shares its shape with non-human identity governance, application security and cloud platform engineering, so it feeds your wider security and governance practice.

Who buys this

IT directors, enterprise architects and compliance officers who have to let teams deploy AI agents at scale without shipping incidents, and the security and platform owners who have to sign off that an autonomous system acting on regulated data and real APIs is controlled and explainable. Whether this is your first production agent or a fleet you are trying to bring under control, you save weeks and walk in with your identity, least-privilege, evaluation, cost, context, orchestration and ownership controls structured.

By the end of the weekend you will have
✓  An adopt-ready control for all 18 areas
✓  A completed control matrix
✓  The evidence a reviewer examines
✓  Every layer of the agent stack covered
✓  A readiness percentage and a fix list
✓  The highest-risk gaps closed

Common questions

Is it really editable? Yes. Word and Excel files you own and adapt. No portal, no subscription.

Does it cover the full agent stack? Yes. Agent identity and credentials, authorization and least privilege, output quality evaluation, cost telemetry and control, context and data access, and orchestration and vendor selection each have their own controls with their own evidence.

Is this tied to one agent platform or model? No. The controls are principle-level, per-agent identity, least privilege, evaluation, cost attribution, entitlement-aware context and durable orchestration, so they apply whatever agent platform, model or vendor you use.

What if it is not for me? A 30-day money-back guarantee.

Do not let your next agent deployment become your finding.
Every control is fast to adopt with the Kit. It is instant, and it is guaranteed.
Add it to your cart and be ready this weekend.

Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com

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