Data & AI Audit
An objective, measured baseline of your data estate and its readiness for AI.
- Inventory, lineage and flows mapped
- Quality measured, not estimated
- Maturity score across 6 dimensions
- Costed 6 to 12 month roadmap
Data & AI consultancy · London
Data and AI that make it to production.
Wysegen helps enterprises and financial services firms turn fragmented data into governed, AI-ready assets, then leads the programmes that depend on them. From the first diagnostic to go-live.
100,000+employees unified in a group HR data lake across 150 subsidiaries
12concurrent data programmes led across four sectors
15 days → D+1investor reporting, after an end-to-end data overhaul
£1M+programme budgets managed from scoping to go-live
Why AI programmes stall
Most AI initiatives don't fail on the model. They fail on the data underneath it.
Boards are funding AI. Few organisations have measured whether their data can carry it. The gap shows up late: in a pilot that never scales, a regulator's question nobody can answer, or a report that takes two weeks to produce.
60%
of AI projects unsupported by AI-ready data will be abandoned through 2026.Gartner, February 2025
95%
of organisations report no measurable P&L return from their generative AI pilots.MIT NANDA, The GenAI Divide, 2025
30%
of generative AI projects were expected to be dropped after proof of concept by the end of 2025.Gartner, July 2024
Wysegen starts where the risk sits: we measure the data, fix the foundations that matter for your priority use cases, and stay accountable until they run in production.
Services
Six ways we move your data and AI agenda forward
Each engagement has a defined scope, named deliverables and exit criteria. You know what you are buying before we start.
AI Strategy & Industrialisation
From a list of ideas to a ranked portfolio of AI use cases with owners, budgets and controls.
- Use cases scored on value and feasibility
- Build, buy or partner decisions
- Priority workflows deployed and monitored
- MLOps and LLMOps foundations
Data Platform & Engineering
Pipelines and models that are versioned, tested and documented, so your team can run them after we leave.
- Snowflake, Databricks, BigQuery, Azure
- dbt, Airflow, Dagster, Fivetran
- Data quality tests and observability
- Vendor-neutral stack decisions
Programme Delivery
We take a data programme that has drifted, reset it and carry it through to a defined milestone.
- Backlog and scope reset in 3 to 4 weeks
- Steering with tracked decisions
- Suppliers held to their commitments
- Part of the fee tied to the milestone
Data & AI Governance
Ownership, policies and controls your auditors, regulators and board can rely on.
- Data ownership and stewardship model
- UK GDPR and EU AI Act readiness
- ISO/IEC 42001 alignment
- Model risk aligned to PRA SS1/23
Embedded Data & AI Leadership
A senior Data or AI programme lead inside your team, backed by Wysegen's method and peer review.
- Interim Head of Data or AI Product Lead
- Fractional CDO for growing firms
- Onboarded in 2 to 3 weeks
- Structured handover to a permanent hire
Capability building. When the project ends, your team keeps the skills. Part-time Data Analytics and AI Workflow programmes for your staff, delivered with our partner Luxley Digital College.
Explore trainingAI, industrialised
From pilot to production in five controlled steps
Most firms have run an AI pilot. Fewer have one that runs every day, is monitored, and passes a model risk review. This is how we get there.
Weeks 1–3
Assess
Data readiness, current tooling, skills and risk appetite, scored against your priority use cases.
Weeks 3–5
Prioritise
Use cases ranked on value, feasibility and regulatory exposure. Two or three go forward.
Weeks 5–12
Build
Data pipelines, retrieval, models or agents built against measurable acceptance criteria.
Ongoing
Govern
Model inventory, human oversight, logging and evaluation that stand up to audit.
Quarter 2+
Scale
Reusable components, run books and team training so the next use case costs less.
We work withLLMs & RAGAI agentsDocument intelligenceForecasting & MLMLOps / LLMOpsAzure OpenAIAWS BedrockVertex AIEvaluation & guardrails
Embedded, not parachuted in
We work inside your teams, at their pace, until they can run without us.
Our consultants sit with your engineers, analysts and product owners. Decisions are made together and documented as we go.
See how we work →Two-minute self-assessment
How AI-ready is your data?
Answer six questions honestly. You get an indicative score and the first thing we would look at.
Selected engagements
Results that held after we left
Three programmes led by Wysegen's founding team, measured before and after.
Banking · International group
Building a group HR data lake for 100,000+ employees
150 subsidiaries on four continents, no shared employee identifier and 700 users without common BI. We set the reference model, cleansed and unified the data, and trained the users.
−50%duplication errors
100%staff with a unique ID
−30%analysis time
+40%BI adoption, 700 users
Financial services · Leasing
From 15-day manual reporting to daily investor access
Investor reports built by hand in Excel, partner payments keyed manually with recurring errors, no GDPR framework. We centralised the data, automated reconciliation and set governance.
D+1investor reporting, was 15 days
0partner payment errors
−80%data inconsistencies
100%GDPR compliance
Consultancy · Multi-sector
Leading 12 concurrent data programmes with a team of 8
Single customer view, big data architecture and governance for clients in transport, retail and healthcare, delivered in parallel without diluting quality.
95%client satisfaction
15 hsaved per week by automation
−25%processing time
+30%customer data quality
The real problem wasn't technical. Nobody had defined what a unique identifier was before starting. Twelve per cent duplicates across 100,000 people, and nobody saw it because nobody was looking.William Hornig, Founder, on the banking group HR data lake
Client names are withheld under confidentiality agreements. Full case studies are available on request.
How we work
Measured first. Delivered second. Handed over always.
Every engagement follows the same four stages, so you see progress and evidence at each step.
01
Diagnose
We measure your data and processes against the decisions they need to support.
You get a scored baseline and risk register
02
Prioritise
We rank initiatives on business value, effort and risk, and agree what not to do.
You get a costed roadmap your board can sign
03
Deliver
Hands-on build and programme leadership in short, demonstrable increments.
You get working outcomes, not slideware
04
Hand over
Documentation, training and KPIs so your team owns the result from day one.
You get independence, with optional steering
Engagement models
Start small. Scale when the evidence is there.
Clear commercial terms under a UK statement of work, invoiced in pounds sterling.
Diagnostic
A fixed-scope audit that gives you an objective baseline and a costed roadmap.
- Duration
- 4–8 weeks
- Pricing
- Fixed fee, agreed upfront
- Best for
- Before a major AI, platform or migration investment
Delivery programme
We lead a programme to a defined milestone, with part of our fee tied to reaching it.
- Duration
- 3–9 months
- Pricing
- Monthly fee plus milestone success fee
- Best for
- Programmes that are late, stalled or about to start
Embedded lead
A senior Data or AI lead joins your team on contract, with Wysegen behind them.
- Duration
- 3–12 months, renewable
- Pricing
- Monthly, no long lock-in
- Best for
- Leadership gaps while you hire permanently
Sectors
We know the data problems of your industry
Financial services
Regulatory reporting, model risk, investor and client data.
Transport & mobility
Operational data, passenger flows, asset and network performance.
Public sector
Registers, case data, procurement-ready delivery and assurance.
HR & workforce
Group HR data lakes, unique employee identity, people analytics.
Retail & consumer
Single customer view, loyalty, pricing and demand data.
Healthcare
Sensitive data handling, interoperability, outcome reporting.
Telecoms
High-volume event data, churn and network analytics.
Industry & manufacturing
Regulated R&D, product lifecycle, certification and quality data.
Charities & foundations
Donor and impact data, governance on lean budgets.
About Wysegen
Senior people on your project. Every time.
Wysegen is a London firm founded by practitioners. The people who scope your engagement are the people who deliver it.
William Hornig
Founder & CEO · Data & AI programme leadMore than ten years leading data programmes in banking, transport and digital. Led a group-wide HR data lake for a banking group of 100,000+ employees and managed programme budgets above £1M.
MSc Information Systems MgmtData SciencePRINCE2ITIL 4
Rowan Read
Co-founder · UK Operations & GovernanceEleven years in UK public service at HM Land Registry, working on registration and governance. Rowan leads client relationships and makes sure every engagement runs to UK standards. He is the first person most clients speak to.
UK public sectorGovernanceClient partnership
The problem is rarely where you think it is.
We start by asking which decision the data must support. The answer often moves the project.
Clean data beats clever data.
Governance and quality come before any model. That is what makes AI reliable.
Deadlines are kept. Scope is honest.
If something will not land on time, you hear it from us first, with a plan.
FAQ
Questions we hear before the first call
Anything else? Ask us directly at contact@wysegen.com.
How quickly can you start?
Most engagements start within two to three weeks of a signed statement of work. A diagnostic can often start sooner.
Do you work outside London?
Yes. We work across the UK, remotely or on site, and with French-speaking teams in France and the EU.
Are you tied to a technology vendor?
No. We are vendor-neutral and recommend the stack that fits your volumes, team and budget, including what you already own.
How do you contract?
As a UK limited company under a statement of work with defined deliverables and exit criteria, invoiced in GBP. We assess IR35 status with you for every embedded engagement.
How do you handle our data?
We work inside your environment wherever possible, sign NDAs as standard and apply UK GDPR principles to every flow we touch.
What happens on the discovery call?
Thirty minutes with a founder. We listen to your situation, tell you plainly whether we can help, and suggest a first step. There is no charge and no obligation.
Let's talk
Tell us where your data is holding you back.
Book a free 30-minute discovery call with a founder. You leave with a clear view of the next step, whether or not we work together.
- We reply within 2 working dayswith two or three slots for a call
- 30-minute discovery callyour context, constraints and goals
- A short written proposalscope, timeline and fixed price, within a week
Email contact@wysegen.com
Office London, United Kingdom