Executive Data & AI Advisory
Some are thriving. Some are surviving.Many simply do not know.
AI does not fail because of technology. It fails when organisations lose their rhythm.
Before you invest further, understand the health of your organisation.
The problem
The gap is not capability. It is clarity.
Designed from experience leading enterprise Data & AI across 54 markets
Fewer than one in three can demonstrate measurable business outcomes from the investment.
Lost each year to poor data quality, misaligned AI initiatives and governance failures.
IBM / Gartner
The majority stall at proof of concept, never delivering the value promised to the Board.
MIT, The GenAI Divide, 2025
Built from experience
"After two decades leading Data & AI at global scale, one truth became clear. Technology alone does not create value. Trust, outcomes and disciplined execution do. That is why Data Heartbeat exists."
Trusted advisor to executive leadership teams in highly regulated industries
The Data Heartbeat Principle™
Every institution has a rhythm. When data and AI align to it, intelligence strengthens the system. When they don't, complexity overwhelms it.
The Data Heartbeat Principle
Define the outcome first. Engineer the data to serve it. Deploy AI with governance built in, not bolted on. Then tell the story in a way that moves people to act.
Define the outcome first and every decision has something to be measured against. The rhythm is strong and regular. Investment compounds.
The Data Heartbeat Readiness Model™
Six measures determine whether a Data & AI transformation is healthy. Open any one for the questions to put to your own team.
Trust determines whether output changes a decision or merely documents one.
Where do we still overrule the data, and are we right to?
Parallel spreadsheets. Reports read after the decision. Quality issues nobody owns.
Decision tracing, override analysis, executive interviews across the leadership team.
Pilots prove feasibility. Readiness determines whether anything reaches production.
What has moved from pilot to live in the last twelve months, and what stopped it?
A growing pilot portfolio. Rebuilt foundations per use case. No reuse.
Maturity scoring against production criteria, pipeline review, platform reuse analysis.
Governance sized to real risk accelerates delivery. Bolted on, it stops it.
Could we evidence a model control to a regulator this week, without a fire drill?
Manual model inventories. Policy nobody reads. Findings that reopen.
Control mapping, model inventory coverage, evidence timing, regulatory alignment review.
Ownership without authority is a title. Outcomes need a budget holder.
Who loses their objective if this use case fails?
Delivery owners without outcome accountability. Funding held at project level.
Accountability mapping, decision latency, funding structure review.
Adoption without informed override is not adoption. It is abdication.
Can the people using this explain when they should not trust it?
High logins, unchanged behaviour. Training completed, capability absent.
Adoption analytics, informed-override sampling, capability coverage in critical roles.
Value not baselined before the programme cannot be claimed after it.
What was the baseline, and who set it before we started?
Benefits cases never revisited. Value claimed in slides, absent from the P&L.
Baseline verification, benefits tracing to P&L, portfolio value realisation analysis.
Developed through real-world AI implementation at enterprise scale
The flagship
An executive health assessment across the Six Vital Signs. Not consulting. Not an audit. A diagnosis, delivered to the Board.
0/100
Executive interviews · organisational benchmarking · AI maturity scoring · governance maturity · operating model review · data capability assessment · trust assessment · value realisation analysis.
Executive dashboard · heatmaps · radar analysis · Board presentation · prioritised recommendations · ninety-day roadmap.
Our methodology
The assessment is not a product we sell alongside advisory. It is the entry point to all of it.
Establish the condition of the organisation before anything is designed or bought.
Executive Heartbeat Assessment™
Translate the diagnosis into strategy, architecture and structure the organisation can absorb.
Executive Data Strategy™ · AI Factory Blueprint™
Governance, change and enablement — so the design survives contact with the business.
Responsible AI Accelerator™ · Board AI Readiness Review™
Re-measure, advise, and hold value realisation to account. Health is a rhythm, not a milestone.
Quarterly Executive Heartbeat™ · Executive Advisory Retainer™
Executive programmes
Each scoped, priced and led personally. None staffed out to a pyramid.
Diagnose organisational health across the Six Vital Signs.
Establish whether the Board can meaningfully oversee what management is building.
Design the operating model for producing AI at industrial scale.
Outcome-first strategy written for the ExCo, not the technology function.
Stand up model risk and control, sized to actual risk appetite.
Standing counsel to the executive accountable for Data & AI.
Re-measure each quarter. Catch degradation while it is cheap.
The Data Heartbeat Ecosystem
Independent executive leadership, trusted governance and strategic direction — provided alongside the organisations that deliver the work.
We have nothing to implement and no licence to sell. The recommendation is the recommendation.
Why Data Heartbeat
Most organisations have data. Most have AI ambitions. Very few have the discipline to connect either to the decisions that matter. That gap will not be closed by buying more technology.
Technology-led transformation starts with a platform and searches for a use case. Outcome-led transformation starts with a decision the institution needs to make better. The first produces impressive infrastructure. The second produces value.
An AI system nobody trusts is not an asset. It is a cost with a dashboard attached. Trust determines whether output is acted on and whether governance is followed rather than circumvented.
Compliance is a floor, not a ceiling. Governance sized to actual risk lets an organisation move faster and stand up to a regulator while doing it.
No physician prescribes before diagnosis. Yet in enterprise AI the sequence is routinely reversed — platforms bought and programmes launched before anyone has established the condition of the patient.
Insights
Written for the people accountable for the outcome.
Why the organisations that scale stopped running AI as a portfolio of projects and started running it as a production system.
In the weekly newsletterA pulse is what one model does this week. A heartbeat is whether the enterprise can sustain judgement across hundreds of them.
In the weekly newsletterWhat regulators actually require — and what organisations impose on themselves unnecessarily.
In the weekly newsletterGlobal readiness trends, the governance gaps that recur across sectors, and how the Six Vital Signs are shifting year on year. Drawn from assessment work, not from a survey panel.
Start the conversation
Whether you are building your Data & AI strategy, strengthening governance, preparing for regulation or seeking an independent executive perspective — we would welcome the conversation.
Trust sets the rhythm of Data & AI.