Independent AI advisor to enterprise leaders · United Kingdom

Transformation. Value. Governance.

I work with CIOs, CTOs and executive teams to get AI out of the pilot stage and into everyday use, with results the business can measure and governance that boards, auditors and regulators are comfortable with.

Transformation
Getting AI pilots into production and keeping them there.
Value
Results tied to the numbers your CFO already tracks.
Governance
Controls designed to help teams ship with confidence.
Anima Verma looking out over a coastal city skyline at sunrise.
  • DirectorBig 4 technology consulting
  • MicrosoftEnterprise technology delivery
  • 23 yearsLeading technology change
  • GCRAIGlobal Ambassador · GRAICE contributor
  • BSI IST/43UK standards committee member

01The problem

Most enterprise AI projects stall somewhere between the pilot and the boardroom.

  1. Pilot purgatory

    Pilots show promise but never get a production decision, because no one owns the criteria for scaling, redesigning or stopping them.

  2. The translation gap

    Boards agree principles and engineering teams build systems, but no one turns those principles into controls both sides can check.

  3. Governance theatre

    Policies get written for the audit rather than the release cycle, so teams work around them and risks go unrecorded.

Well-designed governance should make delivery faster. That’s what I help organisations build.

02Approach

My approach links strategy to evidence in four steps.

Digital transformation changed how organisations operate. AI is changing how they make decisions. I help leadership teams connect the four areas that determine whether AI delivers value or adds risk.

  1. Strategy

    Where AI can create value, and how much risk you’re willing to take on to get it.

  2. Governance

    Decision rights, risk classification and controls that map to the systems you run today.

  3. Operating rhythm

    Evaluation gates, review cycles and escalation paths that sit inside the delivery process.

  4. Evidence

    Audit trails and board reporting that show AI is performing well and staying within agreed limits.

Where this applies

  • EU AI Act readiness
  • Agentic AI oversight
  • Model inventory & risk classification
  • Evaluation & release gates
  • Cloud-to-AI architecture
  • RegTech & UK regulatory perimeter

03Who I work with

I work with the leaders responsible for AI outcomes.

Enterprise leadership

CIOs, CTOs, CROs, COOs and transformation leads

“How do we scale AI across the organisation without losing control of it?”
  • AI operating model and decision rights
  • Pilot portfolio review: graduate, redesign or stop
  • Model inventory, evaluation and release gates
  • EU AI Act and audit readiness

Boards & investors

Chairs, NEDs and investment committees

“Is management’s AI strategy sound, and can we show evidence of our oversight?”
  • Independent AI readiness review
  • Director briefings and Q&A preparation
  • Diligence on AI-heavy investments

Founders

AI-native CEOs and CTOs

“Will our AI stand up to enterprise buyers, investors and regulators?”
  • Minimum viable governance stack
  • Investor- and customer-ready evidence
  • Agentic operating model design

04Engagements

Every engagement ends with a plan your team can act on straight away.

Each engagement comes with a working toolkit, so your team keeps the templates and tools once the work is done.

Enterprise 2–4 weeks

Pilot-to-Production Review

A review of your AI pilot portfolio. We look at why pilots have stalled and what needs to be in place to scale them, then agree a decision for each one: graduate, redesign or stop.

You get: portfolio decisions with reasoning, graduation criteria, and a monthly review cadence.

Enterprise 4–12 weeks

AI Governance Programme

Set up an AI governance programme your teams will use day to day, covering roles, controls, a model registry, evaluation and regular reviews. Sector overlays are available for regulated environments.

You get: registry live, governance rhythm embedded, first quarterly board paper published.

Boards 2 weeks

Board AI Readiness Review

An assessment of AI risk, return and assurance that turns the board’s principles into controls an auditor can inspect.

You get: a chair-ready memo, maturity scorecard and owner-mapped ninety-day plan.

Founders 4–6 weeks

Founder Governance Sprint

Put the essential governance in place early, including an AI inventory, evaluation, decision rights and escalation, before investors, customers or regulators start asking.

You get: versioned eval sets, a signed-off decision-rights map and a diligence-ready pack.

Ongoing support

Standing advisor. A quarterly retainer for the CEO, CIO or CTO: a sounding board, help preparing for board meetings, and support when new risks or regulations come up.

Closed-room briefings. Private sessions for boards and leadership teams on agentic AI, the EU AI Act and the UK regulatory direction.

05Why me

I spent 23 years delivering technology change before advising on it.

I was a Director leading technology transformation in Big 4 consulting, and before that I worked in enterprise delivery at Microsoft. I was accountable for timelines, budgets, client outcomes and the teams delivering them.

That experience shapes how I advise today. The organisations that do well with AI are the ones whose governance helps teams deliver, rather than slowing them down to satisfy an audit.

Sector experience

  • Public sector
  • Healthcare & life sciences
  • Telecoms
  • Technology
  • Retail

Global Council for Responsible AI

GCRAI Global Ambassador

Contributor to GRAICE, GCRAI’s certification framework for AI compliance, risk and ethics. I use it in my board-level work.

British Standards Institution

IST/43 committee member

Contributing to UK input on international standards for learning technology, including new ISO work on AI ethics in education.

“Organisations are looking beyond capability and seeking trust and demonstrable value from AI systems.”

Anima Verma · AI Dialog, Geneva · 2026

What clients say

06Start a conversation

Tell me where your AI work is stuck.

  1. Send a short note

    A few lines on the decision you’re facing, whether that’s a stalled pilot, a question from the board or an upcoming audit.

  2. A confidential introductory call

    We work out whether I’m the right person to help. If I’m not, I’ll tell you.

  3. A written scoping note

    What I recommend, the outcomes to expect, and the first steps for your team.