Advisory Practice
AI Governance Advisory
for Operational Enterprises
Most enterprises have deployed AI. Few have governed it. Our advisory practice closes that gap — designing the governance architecture your organization needs before regulators, incidents, or board inquiries force the issue.
What We Deliver
Governance architecture, not generic consulting
Every engagement produces artefacts your team can act on — and that Arbiter can enforce.
Governance Assessment
A structured review of your current AI deployments: what's running, where decisions are made, what controls exist, and what gaps create operational or regulatory exposure.
Deliverables
- AI deployment inventory
- Control gap matrix
- Risk severity scoring
- Executive findings brief
AI Risk Discovery
Identify where AI decisions intersect with regulated domains, financial exposure, reputational risk, or fiduciary obligations. Map the blast radius before an incident maps it for you.
Deliverables
- Risk taxonomy by deployment
- Regulatory exposure analysis
- Failure mode catalogue
- Escalation threshold recommendations
Operational Dependency Mapping
Document how AI systems interact with human workflows, downstream processes, and business-critical decisions. Understand where removing AI would break operations — and where AI is flying blind.
Deliverables
- Human-AI decision flow diagrams
- Dependency graph by process area
- Override and fallback inventory
- Accountability assignment matrix
Policy & Control Design
Translate governance requirements into operational policy: model usage rules, budget limits, output guardrails, approval thresholds, and escalation triggers — written to be enforced, not aspirational.
Deliverables
- Governance policy document
- Model usage standards
- Approval authority matrix
- Control specification (Arbiter-ready)
Approval Workflow Design
Design the approval logic that governs high-stakes AI decisions — who approves, under what conditions, with what evidence, and within what timeframe. Designed to scale without bottlenecking operations.
Deliverables
- Approval workflow maps
- Escalation path definitions
- Timebound approval SLAs
- Arbiter workflow configuration
Separation of Duties Review
Identify where a single team or individual has both AI deployment authority and oversight responsibility. Flag conflicts and recommend role boundaries that satisfy audit requirements.
Deliverables
- SoD conflict register
- Role boundary recommendations
- Access control design
- Audit committee presentation
Resilience Planning
Model what happens when AI systems fail, degrade, or behave unexpectedly. Design human fallback paths, incident response playbooks, and recovery procedures that actually work under pressure.
Deliverables
- AI failure scenario library
- Human fallback procedures
- Incident response playbook
- Recovery time objectives (RTOs)
Arbiter Implementation Roadmap
Translate your governance architecture into an Arbiter deployment plan: which modules to activate first, integration sequencing, pilot scope, and a 90-day path to production enforcement.
Deliverables
- Module activation sequence
- Integration architecture diagram
- Pilot scope definition
- 90-day implementation plan
Advisory + Platform
Advisory designs it. Arbiter enforces it.
The advisory practice doesn't just produce documents — it produces governance specifications that Arbiter operationalises in production.
Design
Advisory Practice
We assess your AI deployments, identify governance gaps, and design the controls your organization needs.
Specify
Governance Specs
Advisory deliverables are structured as Arbiter-compatible specifications: policies, thresholds, approval rules, guardrail definitions.
Enforce
Arbiter Platform
Arbiter enforces governance in production — every AI call, every budget limit, every approval requirement, every audit record.
Engagement Types
How we work with enterprise clients
Structured engagements designed around your governance maturity, timeline, and risk profile.
01
Governance Rapid Assessment
Duration
2 weeks
Format
Remote
Suitable for
First-time AI governance engagement or board readiness check
Outcome
Assessment report, risk register, priority recommendations, Arbiter readiness score
02
Executive Governance Workshop
Duration
1 day
Format
On-site or remote
Suitable for
Board, C-suite, or risk committee — governance strategy alignment
Outcome
Governance mandate, risk appetite statement, initial control framework
03
Governance Architecture Sprint
Duration
4–6 weeks
Format
Embedded (3 days/week)
Suitable for
Organizations deploying AI at scale or facing regulatory scrutiny
Outcome
Full governance architecture: policies, controls, workflows, Arbiter deployment plan
04
Arbiter Implementation Advisory
Duration
Ongoing
Format
Weekly retainer
Suitable for
Organizations deploying Arbiter and needing governance iteration support
Outcome
Governance programme management, policy iteration, incident review, board reporting
How We Think
Our governance principles
Governance must be operable
A governance framework that lives in a document is not governance. We design controls that can be enforced in production — by systems, not hope.
Risk appetite precedes architecture
Before designing controls, we establish what your organization is willing to tolerate. Governance without risk appetite produces bureaucracy, not safety.
Accountability must be assigned
Every AI decision with material consequences needs a named accountable role. 'The model decided' is not an acceptable answer to a regulator, board, or affected customer.
Evidence must be automatic
Audit-readiness built on manual reporting fails at the worst time. Controls designed to produce evidence automatically — through Arbiter — are the only credible basis for compliance.
Get Started
Start with a governance workshop
A structured one-day session with your leadership team. We assess your current AI posture, align on governance principles, and identify the priority controls your organization needs — with a clear path to implementation.