SolutionsGovern & DeliverAI Governance & Assurance

Govern AI like the rest of the business — because it is.

“What AI is running, what can it access, and can we prove it is under control?”

AI Governance & Assurance treats AI models and agents as part of how the business runs, not a separate inventory. Every AI tool, where it runs and what it can access sit in one register. Each regulation is mapped to the controls that satisfy it and the evidence behind them. Clear rules say which decisions an agent may prepare, which it may make, and which always come back to a person — and every agent’s cost and results sit beside its risk.

Rooms you open

  • Know the AI Estate
  • Assure the AI
  • Set the Decision Rights

Methods supported

AI-Native SAFeTokenomicsCLEAR

Part of Govern & Deliver · How do we turn choices into governed outcomes?

The pressure

Unapproved AI is spreading faster than anyone can track it.

Teams are launching AI tools and agents with whatever access was handy. Nobody can say which ones have admin-level access or when that access was last reviewed. Regulations are arriving one at a time, and the answer to “are we covered?” is a slide. When an agent goes wrong, the damage is measured after the fact.

What it looks like today

  • AI in production with no record and no owner
  • The most powerful access reviewed the least
  • Regulatory requirements with no control in place
  • Claimed benefits with nothing measuring them

What changes

What changes.

An AI inventory spreadsheet

One register of AI tools, where they run and what they can access

Compliance reported as a percentage

Every regulation mapped to controls, with every gap visible

“Autonomous” as a label

Clear, recorded limits on what AI may decide — with a person making the judgment calls

Every regulation, mapped

Every regulation against every control — with every gap in plain sight.

The EU AI Act, ISO 42001, the NIST AI Risk Management Framework and your own internal standard, each mapped to the controls that satisfy it. A missing control shows up as a gap, not a percentage — next to a chart of impact against independence, where unapproved and unowned AI stay visible.

Where other tools stop

AI governance tools give you an inventory and a risk dashboard. They cannot see what an agent costs, what it touches across the business or whether it earned its budget.

The rooms

The rooms inside AI Governance & Assurance.

Each room answers one question a leader actually asks, with the view that answers it and the measures that say whether it is working.

A room is a ready-made view that answers one leadership question, built on the same shared data as every other room.

Room 01

Know the AI Estate

“What AI is running, where, and what can it access?”

Every AI tool, deployment and access permission in one register, with the gaps shown plainly.

How you know it is working

  • AI in production with a registered record, up
  • AI access that stays within approved limits, up

Room 02

Assure the AI

“Are the controls in place, proven and current — and is the value real?”

Each regulatory requirement beside the controls that satisfy it, the evidence behind them and the measured results.

How you know it is working

  • Requirements with at least one control in place, up
  • Controls with current, passing evidence, up

Room 03

Set the Decision Rights

“Which decisions may AI make, and which must come back to a person?”

Each type of decision with who prepares it, who approves it and what evidence is needed — AI on one side of the line, people on the other.

How you know it is working

  • AI actions taken within recorded limits, up
  • Decisions escalated to a named owner, up

Where judgment sits

Self-steering, not autonomous.

AI reads the shared model, prepares the decision and lays out the trade-offs. The decision itself is recorded against a named person.

AI prepares

Context, options, cost and impact assembled before the meeting.

AI may act

Within recorded limits, with a spending cap and a full audit trail.

People decide

Trade-offs, funding and anything outside the limits come back to a person.

Who it is for

Who opens it, and what they ask.

CISO

“What can our AI access, and has that been reviewed?

Head of AI

“Which AI can go live, and what is it allowed to do?

Compliance lead

“Are we covered for the regulations that apply to us?

Risk owner

“What is our exposure if an agent goes beyond its limits?

What it replaces

Retire the workarounds — on your schedule.

  • AI inventory spreadsheets
  • Separate trackers for every regulation
  • AI access permissions nobody recorded

How it is licensed

AI Governance & Assurance is licensed within Govern & Deliver, with Strategic Portfolio Management included underneath.

Start with one portfolio, one product area or your architecture team. Strategic Portfolio Management is included automatically with every module.

See pricing

Methods and frameworks

Runs the methods you already use.

Dotwork does not ask you to adopt a new method. The frameworks your teams run become views over the same model.

AI-Native SAFe

SAFe with AI doing the preparation and people making the decisions.

Tokenomics

What AI actually costs per task, per team and per outcome.

CLEAR

Strategy to execution, connected and measured.

The model underneath

Every module makes the next one smarter.

Steer, Fund & Optimize and Govern & Deliver all read and write the same Enterprise Operating Model. The first module you license builds the model. Every module after it adds context instead of another silo — and Dotwork AI reads all of it, stopping where the decision is yours.

See the Enterprise Operating Model

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