Owned
Every opportunity, big bet or small win, sits on one record with a named owner.
Introducing Assettia
There is no shortage of data, AI or ideas. The challenge is deciding where to invest.
Big bets. Small wins. It all needs to add up.
Everyone can show you activity. Almost nobody can show you evidence. Assettia is the data and AI programme record: one place where an organisation keeps what its programme owns, what it has decided, and what it has proved.
Owned. Decided. Proved.
Owned
the thing exists and is on the record. Nothing further is claimed.
Decided
a named person decided, and the reason is recorded with the date.
Proved
evidence is linked. The only state a board should be shown as fact.
- Owned
- 38
- use cases on the record
- all active use cases, this client
- Decided
- 14
- prioritised by the board
- decided use cases, since Jan 2026
- Proved
- 6
- with value evidence linked
- use cases with a linked measurement
From ideas to decisions
Turning data and AI opportunities into decisions that create measurable value.
Decided
Where to invest is decided once, with the reason and the evidence kept beside it.
Proved
Value is linked to a measurement, so it can be shown to add up rather than claimed.
The problem
The deck was beautiful. That was the problem.
The thinking was good. The workshop was good. The slides were, if anything, too good, because a well-made slide is a very comfortable place for an idea to go and quietly die.
What is missing is not intelligence. It is the boring apparatus of remembering: who decided, on what evidence, and whether it worked.
The strategy is a document.
Well received. Nobody can now say which parts were adopted.
The decisions are in inboxes.
The reason sat in a thread. The author has left. The question is being asked again.
The value is a claim.
A number went into a business case. No baseline was recorded, so nobody can show whether it landed.
The risks are in a spreadsheet.
It holds the risks. It cannot say which use case introduced one, who owns it, or what the position was on the day the board signed it off.
Three states, one rule
Every record is in one of three states, and the state is never inferred.
The platform does not compose an opinion about progress. It evaluates fixed rules over records and reports the result.
Owned
the thing exists and is on the record. Nothing further is claimed.
Decided
a named person decided, and the reason is recorded with the date.
Proved
evidence is linked. The only state a board should be shown as fact.
The alternatives
What organisations use today, and where each one stops.
| Alternative | What it holds | Where it stops |
|---|---|---|
| Slides and spreadsheets | The strategy, once | Correct on the day it was finished |
| AI governance platforms | Models, agents, controls | No use cases, no value, no decisions |
| Portfolio tools | Projects, dates, tasks | Status, not evidence |
| Decision intelligence | Automated operational decisions | Not the strategic ones |
| Doing nothing | Nothing | The board asks anyway |
AI throughout
A model drafts. A person decides. The record holds both.
Around 150 capabilities draft from the organisation's own evidence, inside frameworks refined over twenty-five years of consulting, which is why the output is a scored comparable case rather than a plausible paragraph.
Drafts the work.
Transcripts read and passages extracted, use cases proposed, cases generated, risks identified, policies drafted.
Answers from the record.
Atlas, the guide inside the workspace, answers from the organisation's own records and says plainly when the evidence is thin.
Never decides.
No model produces a figure, writes to a live record, or appears on an executive surface as a finding.
What the record holds
The whole programme, not a slice of it.
- 01
Use cases: every opportunity, from first mention to value delivered, scored against the same criteria.
- 02
Data assets: what data exists, who owns it, its quality, its rights, and which use cases depend on it.
- 03
Decisions: gating decisions with the rationale and the person who took them, on the programme's plan.
- 04
Risks: an AI risk register, each risk linked to the use case that introduced it, with controls, a named owner, regulatory reference points and attestation sign-off.
- 05
Value evidence: benchmarks, tracked metrics and measurements, linked to the use cases they support.
- 06
Board reports: documents produced from the record, with every figure naming its population.
Eight workstreams, one record
Everything a programme does, on the same record.
The platform is organised around the questions a programme has to answer. Each workstream is a set of modules that share a question, and every one of them reads from and writes to the same record.
- Data: the foundations: what data exists, what state it is in, and who looks after it.
- Strategy: the direction: what the organisation wants from data and AI, and how it will know it is winning.
- Value: the portfolio: finding, choosing, justifying and proving the work.
- Operating model: how the data and AI function is structured, governed and led.
- People and adoption: whether the organisation can actually use what gets built.
- Governance: the rules and the record: risk, policy, accountability.
- Delivery: turning decisions into working things.
- Monetisation: treating data as a product with external customers.
Who it is for
One record, read four ways.
The data and AI leader.
Runs the programme from the record and produces the board paper without opening a word processor.
The executive team.
Sees the state of the programme in the words the business uses, with the next decision always on screen.
The board.
Reads a document produced from the record, approved by a named person, with the gaps stated.
Investors.
See the data and AI position of every portfolio company, produced the same way in each.
For boards
Three things a board is accountable for, and where each answer comes from.
Directors now carry direct accountability for how data and AI are governed. A board can ask three questions of any programme. Assettia is built so that each has an answer that can be checked.
Is it adding up?
The value evidence linked to each use case, and the use cases with none, listed. Value is linked to a measurement, so it can be shown to add up rather than claimed.
Are the risks known, owned and controlled?
Every AI risk sits on the register linked to the use case that introduced it, with a named owner, its controls, a review date, and reference points under UK and EU data protection law and sector regulation. Overdue reviews are visible, and the people responsible were told.
Could the organisation show its workings?
On a stated date a named leader signs a frozen snapshot of the position. The governance process statement sets out the process as adopted, mapped clause by clause to ISO/IEC 42001, ISO/IEC 23894, the NIST AI Risk Management Framework and the EU AI Act, with the exceptions and what the process does not cover. It is the document a regulator or an auditor would be given, and the kind of evidence on which accredited bodies certify organisations.
The board report is generated from the same records the programme runs on, reviewed and approved by a named person, and filed with its version. When a figure changes, the report says so. What a director can do with it: open any figure to its population, read the decision behind any priority, and see which registers are still empty.
Assettia
Data and AI Board Report
[Organisation]
[Period] · Prepared from the programme record
Every figure in this report traces to a record. Gaps are shown as gaps.
Questions people ask
Assettia in eight answers
The short version of what the record is, who keeps it and how a board reads it.
What is Assettia?
Assettia is the data and AI programme record: one place where an organisation keeps what its programme owns, what it has decided, and what it has proved. It is software for data and AI leaders, executive teams and boards.
What is a data and AI programme record?
The single, evidence-linked account of an organisation's data and AI programme: its use cases, data assets, decisions, risks, value evidence and board reports, kept as linked records rather than documents.
What do Owned, Decided and Proved mean?
The three states every record is in. Owned: the thing is on the record. Decided: a named person has taken a decision about it and written down the reason. Proved: evidence is linked to it. The state is derived from the record, never assigned by opinion.
Is Assettia an AI governance tool?
No. Governance tools hold models, agents and controls. Assettia holds the whole programme and links governance to the use cases and decisions it governs. It is also not a portfolio tracker and not decision intelligence.
Who uses Assettia?
The data and AI leader and the team who run the programme keep the record. The executive team reads the state of the programme from it. The board reads a report produced from it.
How does a board use it?
It reads a board report generated from the record and approved by a named person, opens any figure to the population it counted, reads the decision behind any priority, and sees which registers are still empty.
How does an organisation start?
With a forty-minute walkthrough on a synthetic organisation, so nothing of its own is entered until it decides it should be.
Can it show a regulator or an auditor how AI risk was managed?
Yes. The governance process statement is produced from the record and filed, immutable once released: the process as adopted, the standards it maps to with the date of each source, the figures for the period, the exceptions, and what the process does not cover. Alignment is not certification. Accredited bodies certify organisations, on evidence of this kind.
We believe an organisation should be able to check what it is told.
Not trust it. Check it.
That is why every figure names what it counted, every decision carries a name and a reason, and no model produces a figure anywhere in the product.
If this is how you think, we should talk. Forty minutes, on a synthetic organisation, so nothing of yours is entered until you decide it should be.
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