AI adoption with governance built-in — measurable, compliant, and ready for scale.
We combine AI strategy, AIMS (ISO/IEC 42001) implementation, and the VORTA-AI operating system to move you from scattered experiments to governed, funded, and auditable initiatives.
AI Strategy & Portfolio Design
Clarify ambition, prioritize the right use cases, and translate AI vision into a funded, sequenced portfolio.
AIMS & AI Governance (ISO/IEC 42001)
Design and implement an AI Management System with policies, roles, controls, and documentation ready for audit.
VORTA-AI Readiness & Use-Cases
Assess operational readiness, shortlist and score use cases, and align ownership, data, and risk from day one.
No more isolated pilots. We help you build a governed portfolio: clear owners, controls, and KPIs from the first wave.
AI Management Systems that survive audits, not just workshops.
We support organizations that want AI adoption and governance to move in one track. Our work is aligned with ISO/IEC 42001 requirements, Annex A controls, and real operational constraints.
- Translate your context, risks, and objectives into an AI Management System scope.
- Design policies, roles, and processes that people can actually follow.
- Build evidence: registers, logs, assessments, and control plans ready for internal and external review.
- Integrate AIMS activities into your existing management systems and governance forums.
Note: we are not a certification body. We help you implement the system and prepare for certification or regulatory scrutiny.
Key AIMS Consulting Services
Modular engagements that can start from a light baseline or go all the way to full implementation.
We can plug this into existing AI projects or start as a standalone AIMS stream managed from the executive level.
Core Consulting Packages
Each engagement is anchored in VORTA-AI and aligned, where applicable, with ISO/IEC 42001 requirements. Fixed-scope where possible, retainer where necessary.
Readiness & Governance Baseline (4–6 weeks)
Baseline your AI ambition, operating reality, and AIMS maturity in one view.
- Executive interviews, data & process inventory, risk & compliance lens.
- VORTA-AI 0–5 scorecards across vision, data, tech, people, and risk.
- High-level mapping against ISO/IEC 42001 requirements and Annex A areas.
Outputs: 2–4p exec brief, detailed baseline report, and a prioritized short-list of actions.
AI & AIMS Roadmap (6–10 weeks)
Turn the baseline into a sequenced roadmap that combines AI use cases and AIMS workstreams.
- Portfolio design: Quick Wins / Strategic Bets / Foundations / AIMS activities.
- Controls, dependencies, and risk treatments per wave, not as an afterthought.
- Executive-ready roadmap aligned to budget cycles and time-to-value.
Outputs: Roadmap, governance checklist, and board-level presentation pack.
AI-PMO & AIMS Oversight (3–6 months)
Embed an AI-PMO function that keeps projects on-track and governance alive.
- Bi-weekly sponsor reviews; weekly core team cadence and decision logs.
- Risk, issues, and change control aligned with AIMS processes.
- Dashboards for value realization, adoption, and control effectiveness.
Outputs: Ongoing progress reports, risk register, value capture tracking, and AIMS evidence artefacts.
Executive Governance & Strategy Sessions
Focused working sessions with leadership — not training, but decision-grade working time.
- Clarify AI ambition, risk appetite, and governance expectations.
- Buy / build / partner decisions with regulatory and AIMS implications.
- 30/60/90-day action plan with named owners and review points.
Outputs: Working session decks, decision memos, and a concise executive action sheet.
VORTA-AI — our consulting operating system for AI strategy, readiness, and AIMS.
Every engagement — from a 4-week baseline to a 6-month AI-PMO — runs through the same backbone. That keeps leadership decisions, use-case selection, and AIMS activities coherent instead of fragmented.
Clarify why AI matters for your model, risk posture, and stakeholders — before tools or vendors enter the room.
Assess data, people, processes, and controls. Identify gaps that must be closed for any serious AI or AIMS move.
Score and prioritize use cases against value, feasibility, risk, and alignment with your AIMS scope.
Define accountable owners, decision rights, and forums — including AI-PMO and AIMS roles.
Embed AI into workflows with training, change management, and ongoing monitoring of value and risk.
How We Work
Same structure, different depth depending on your starting point. No uncontrolled pilots, no blind “experiments”.
Clarify ambition, constraints, stakeholders, and AIMS scope. Capture what “good” looks like for your context.
Assess data, processes, capabilities, and current controls using VORTA-AI scorecards and AIMS lenses.
Shortlist, score, and sequence use cases and AIMS activities into waves with owners and budgets.
Design measured pilots with clear KPIs, controls, approvals, and exit criteria before any attempt to scale.
Roll out in stages, embed AIMS processes, and maintain dashboards for value, adoption, and risk.
Rule of thumb: no scale without a measured pilot — and no pilot without a named owner and explicit guardrails.
What We Measure to prove ROI and control
Compact Case Snippets
FAQ
Do you implement AIMS as per ISO/IEC 42001?
What is the role of VORTA-AI in a consulting engagement?
Do you sell or resell specific AI tools?
How do you handle sensitive and regulated data?
What timelines should we expect?
How will we know it’s working?
Ready to align AI ambition, governance, and delivery?
Let’s define your first wave — use cases, AIMS activities, and the KPIs that will prove it’s working.
Typical kickoff within 7 business days once scope is agreed.