From AI Strategy to Operational Governance
A Stage‑Gated Approach
We help organisations of every size move from uncertainty to a defendable roadmap. Maturity assessments, AI Canvas workshops, use‑case prioritisation, and operational governance for AI agents – all grounded in the Shinka methodology.
The Two Sides of AI TransformationStrategy without governance is fragile.
Governance without strategy is reactive.
We deliver both.
AI Strategy
Maturity assessment & benchmarking
AI Canvas workshops for executives
Data & technology roadmap
AI Governance
Where should we focus?
How do we control what we build?
Use‑case prioritisation (value, feasibility, risk)
Phased implementation plan
Model risk management framework
EU AI Act / GDPR compliance
Policy as code, identity‑aware access
Operational governance for AI agents
Continuous monitoring & incident response
AI Maturity Assessment
A rapid benchmark of your data foundations, technology stack, talent, and governance against industry peers. You receive a clear scorecard and prioritised gap analysis – so you know exactly where you stand.
AI Strategy – What We Do
AI Canvas Workshop
We teach your executives our AI Canvas methodology to evaluate and prioritise AI cases using their own business scenarios. You leave with a defensible, ROI‑ranked backlog, not a wish list.
Use Case Prioritization Workshops
Structured workshops to identify, score, and rank AI opportunities based on value, feasibility, and risk. We use a 3D matrix that includes regulatory and reputational risk – essential for regulated industries.
Data & Technology Roadmap
A practical, phased plan covering data strategy, infrastructure needs, technology selection, and governance frameworks. No fluff – just what you need to execute with confidence.
Model Risk Management (MRM)
We help you establish a model inventory, validation standards, and monitoring cadence – aligned with regulatory expectations (EU AI Act, Basel, local PDPA).
AI Governance – Closing the Oversight Gap
The hard problems aren’t policy – they’re operational: runtime controls, agent oversight, audit trails, and human approval workflows for AI systems already in production.
Operational Governance for AI Agents
Autonomy boundaries: define what agents can and cannot do
Identity & access: integrate with Entra ID, Okta, LDAP
Audit trails: record every decision, tool call, and output
Human‑in‑the‑loop: mandatory approval workflows for high‑risk actions
Regulatory Alignment
EU AI Act risk tiering and obligations
GDPR / CCPA / PDPA compliance for data processing
SOX / Basel controls for financial AI systems
NIST AI RMF and ISO 42001 alignment
Incident Response & Continuous Monitoring
We design incident response playbooks specific to AI failures (model drift, bias, hallucination, security breach) and implement monitoring dashboards for real‑time oversight.
How it Works
Discover
We immerse in your business, interview stakeholders, and analyse current workflows to understand where AI can have the greatest impact – and where governance gaps exist.
Ideate
Structured workshops with your team to generate and cluster AI opportunities – grounded in your actual problems, not vendor marketing.
Prioritize
We score opportunities against value, feasibility, and risk to create a ranked roadmap you can defend to stakeholders.
Plan
We deliver a phased implementation plan with clear milestones, resource estimates, success metrics, and a governance operating model.
The 進化 (“Shinka”) Framework is the backbone of our approach.
Phase 1: Awakening
Awareness, Assessment, Experimentation – where we build alignment and run pilots.
Phase 2: Embodiment
Strategy & Prioritisation, Foundation Building – where your roadmap and governance framework are created.
Phase 3: Transcendence
Scaling, Optimisation & Maturation – where operational governance for agents and continuous monitoring come to life.
Who This Is For
You are...This helps you...An SME exploring AI
Prioritize across departments, avoid pilot purgatory
A mid‑market enterprise
Build a roadmap and governance framework that scales with your business.
A large enterprise with existing pilots
Operationalise governance – move from ad‑hoc to controlled production.
Any organisation facing new AI regulation
Understand your obligations and build a defensible compliance program.