AI STRATEGY · DATA GOVERNANCE · INTERIM AI LEADERSHIP
Make your business
AI-ready…
Most organisations retrofit AI onto legacy processes and the pilots stall. Anterospective helps boards and executive teams put AI to work safely, early and often: starting with strategy, governing data as it moves and building capability that stays in the organisation.
5 stages
One repeatable method
12 weeks
Per delivery cycle
1 use case
At a time, then repeat
FIVE STAGES. ONE DIRECTION.
WHAT WE DO
Four ways to engage
02
AI & Data Strategy
Strategy that starts with your business model, not your technology stack. A sequenced roadmap, a prioritised use-case inventory and a data foundation built for AI.
Explore AI & Data Strategy
03
Interim & Fractional AI Leadership
Board-level AI and data leadership, in the seat when you need it. Interim CAIO, CDO and CTO mandates, or a fractional executive alongside your existing team.
Explore leadership
04
Board & Executive AI Education
Practical sessions that help boards and leadership teams direct, challenge and govern AI with confidence, built around your sector and your regulation.
Explore education
THE METHOD
A relay race, not a marathon
Five stages distilled from years of AI and data strategy work across regulated and complex organisations. Delivered in 12-week cycles, so value arrives early and every cycle makes the next one faster.
How each stage works
START HERE
The AI Readiness Review
A focused, fixed-scope review that tells you where you really stand and which use case to take first. No six-month scoping exercise.
PROCEED
BANK
STOP
Every cycle ends at a reversible gate, so your board controls exposure while reusable data, controls and skills build up.
How AI changes your business model, from revenue and pricing to channels and competitors
A prioritised inventory of use cases, scored on impact, ease, risk and reuse potential
A data and controls check for the leading use case: sensitivity, retention, access and lineage
A capability-gap view across leadership, champions and delivery teams
A 12-week plan for your first cycle, with clear decision gates
DATA GOVERNANCE
Governance that follows the process
AI changes what the data office is for. Instead of fixing data downstream, we tag, classify and label it at the point of ingestion. Instead of a final review, controls are built into the live process for each use case and refined every cycle.
The result is evidence your risk committee and regulator can follow, without having to fix everything before you start.
Our governance principles
FOUNDER-LED
Real-world experience, pragmatic results
Anterospective is led by David Lindop, former Global Chief Data Officer for EY Consulting. David has spent more than 30 years helping organisations turn data and technology into commercial outcomes, both as a consultant and as a senior executive.
Where a project needs specific industry or technical expertise, we draw on a global network of experienced practitioners we know and trust.
About David
30+ years
In data, technology and transformation
Global CDO
Former Global Chief Data Officer, EY Consulting
Helping organisations transition to AI native.
Board advisor
AI strategy, training and governance for regulated organisations
INSIGHTS
Latest thinking
Articles published on LinkedIn on AI strategy, data governance and delivering AI at scale. New pieces are added as they are published.
Strategy
A repeatable method to deliver real business value, safely, early and often
Five steps distilled from three years of AI and data strategy work: start with business strategy, deliver one high-value use case, make only the data you need AI-ready, build skills and organisation, then rinse and repeat as a self-funding relay race.
Data & Governance
Is it time for the Data Office to vacate the middle ground?
Agents and AI assistants change what the data office is for. The shift: from report production to curated data products, from fixing data downstream to tagging and classifying at ingestion and from periodic review to controls embedded by design.
Delivery
An integrated approach to ML Ops, LLM Ops and Data Ops is the key to unlocking the value of AI at scale
Moving models from the lab into core business processes needs more than technology. Processes, control frameworks and reporting structures must be industrialised together, as one enterprise-wide operating discipline.
All insights