Services
A staged pathway for governed enterprise AI.
Start with visibility, then move into strategy, workflow redesign, governance, enterprise brain services and ongoing board-ready reporting.
Stage 0 - AI Risk Diagnostic
AI use/risk scan, readiness scorecard, risk/control gap summary, board-ready briefing and 90-day roadmap.
Stage 1 - AI-First Strategy Workshop
Task-level 3-bucket map, prioritised AI use-case backlog, operating model implications and 90-day action plan.
Stage 2 - From Shadow AI to Enterprise AI
Shadow AI heatmap, workflow redesign canvas, risk register, governance guardrails and scaling pathway.
Stage 3 - Board & Governance Advisory
Board briefing, director question toolkit, AI governance framework, oversight calendar and reporting template.
Stage 4 - Regulatory Compliance Review
Privacy, cyber, vendor, model, data and disclosure gap review with regulatory risk summary and remediation roadmap.
Stage 5 - Build a Single Enterprise Brain
A governed AI operating layer for executives and teams: one trusted interface, managed specialist workflows, controlled knowledge access, escalation paths and board-ready reporting.
Stage 6 - Quarterly Advisory
Quarterly AI governance review, risk and use-case updates, board pack support and operating model refinement.
Enterprise brain services
Build a single enterprise brain: one governed place to ask, decide and move AI work forward.
Trusted interface
Executive AI brain
A secure front door for strategy, decisions, briefings, reporting, follow-ups and organisational memory.
Managed execution
Specialist workflow layer
AI-assisted workflows for governance, risk, vendors, use cases, board packs, analytics and communications.
Control model
Isolation and guardrails
Role-based access, approved knowledge sources, escalation rules, audit trails and clear human accountability.
Operating rhythm
Board-ready cadence
Monthly or quarterly reporting that turns AI activity into risk, value and decision signals.
Adoption
Workflow onboarding
Priority team workflows mapped, tested and embedded so AI use becomes practical instead of experimental.
Evolution
Capability roadmap
A staged plan for adding new AI workflows as governance, data quality and business demand mature.
Independent, end-to-end services
Templates describe the steps. Experience makes the steps work together.
Internal staff or third-party providers can complete individual checklists and templates. The greater risk is fragmented execution: a strategy disconnected from architecture, a policy disconnected from workflows, or a pilot disconnected from board accountability.
AI Invent works across the full chain—from board requirements and strategic priorities through technical design, operational change, security, assurance and reporting—while remaining independent of any platform sale.
One accountable thread
Maintain the intent and evidence from diagnostic through implementation and review.
Experienced tailoring
Adapt frameworks to actual risk appetite, capability, systems and regulatory context.
Constructive challenge
Surface weak assumptions, hidden dependencies and gaps before they become costly rework.
Capability transfer
Strengthen internal ownership with practical artefacts, decisions and repeatable governance rhythms.
Best first step: Board AI Readiness Diagnostic.
Create clarity without committing to a large program.
Book Diagnostic