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AI Governance

AI Governance and Remediation as a Service - AIGRaaS Executive Brief

AIGRaaS Executive Brief

AI Governance and Remediation as a Service

AIGRaaS: the 90-day path from exposed AI program to defensible board brief.

AIGRaaS (AI Governance and Remediation as a Service) is a 90-day engagement for organizations whose AI programs are about to be examined by a board, an auditor, a regulator, or the public. A senior cross-functional team enters the program, exposes what is missing, remediates the gaps, and leaves the executive with gates, evidence, controls, and a board brief that a serious reviewer will accept.

The pain is not uncertainty. It is invisible accountability.

Vendor claims sound confident. Internal teams sound busy. The release date keeps moving. Nobody wants to be the person who slows innovation, yet nobody wants their signature attached to a preventable failure.

AIGRaaS gives executives a governed path forward: clear gates, accountable owners, remediation workstreams, staff readiness, and a concise board brief that separates real progress from theater.

Five offerings for high-stakes AI decisions.

Each engagement is designed for organizations that already feel the pressure: contracts are moving, budgets are at risk, incidents are visible, or policies exist only as documents nobody can execute.

90-day rescue

AIGRaaS

AI Governance and Remediation as a Service. Cross-functional squad, executive playbook, board brief, staff training, and optional non-medical wellness support for sustained delivery.

Buy this when: an AI program is funded, in flight, and review pressure is less than six months away.
Pre-award

Gatekeeper

Vendor bid review, readiness scoring, release-of-funds gate, and decision record before the organization becomes locked into a fragile path.

Buy this when: a vendor selection or platform contract is close to signature and readiness evidence is thin.
After impact

Incident Post-Mortems

Structured analysis with an external lesson release and an internal controls package that turns the incident into durable operating discipline.

Buy this when: a visible AI failure needs an external lesson release and internal controls package.
Team regulation

Decision Cadence Labs

Breathwork-informed reset routines integrated into agile ceremonies, leadership rituals, delivery reviews, and decision moments.

Buy this when: delivery teams are making consequential AI calls under sustained pressure.
Executable control

Policy-as-Code Accelerator

Client policies converted into executable rules, dashboards, exception workflows, and user training for teams who need controls that actually run.

Buy this when: AI policies exist in documents but engineering cannot execute them in delivery.

From vague concern to signed-off evidence.

Without a gate

  • Vendors define readiness in their own language.
  • Controls arrive after funding, contracts, and deadlines harden.
  • Training becomes a checkbox after people are already exposed.
  • Incidents produce blame, not reusable operating memory.

With AIGRaaS

  • Every decision has an owner, gate, artifact, and escalation path.
  • Funding moves when readiness evidence clears the threshold.
  • Staff training lands before the riskiest workflows go live.
  • Lessons become public trust signals and internal controls.

What you receive.

Executive board brief
Governance playbook
Release criteria and gate definitions
Evidence pack: decision records, control owners, exception log
Staff training artifacts
Operating cadence and dashboard
Optional incident response ritual

The 90-day AIGRaaS motion.

1

Expose the truth

Map the AI use cases, vendor promises, data paths, policy gaps, human review points, and business decisions that carry real risk.

2

Remediate the system

Stand up gates, controls, dashboards, training, incident rituals, and evidence trails with engineering, legal, procurement, and delivery at the same table.

3

Hand over control

Leave the organization with a board brief, playbook, training artifacts, operating cadence, and clear release criteria for the next decision.

Nobody wants to slow innovation. Nobody wants their signature on a preventable failure. AIGRaaS exists for the gap between those two sentences.