Work with me
Five shapes. Most people start with the teardown, because it is the one that ends in a decision rather than a commitment.
I do not run general platform engineering, infrastructure, security or SRE.
- AI readiness teardown
A three-week fixed-fee assessment of your data and AI stack that ends in a decision, with a written verdict you keep whatever you decide next.
- Duration
- 3 weeks
- Commitment
- Roughly 8 days of my time, spread across three weeks
- Price
- On request
Not for
- Companies with no data team yet. There is nothing to assess and I would be an expensive way to buy a dashboard.
- Anyone who needs a board deck by Friday. Three weeks is three weeks.
- Organisations that have already decided and want the assessment to agree.
- Forward deployed engineer
I join your engineering team, work in your repository, and ship the AI system myself. Six to twelve weeks, ending in something running in production.
- Duration
- 6 to 12 weeks
- Commitment
- 3 to 4 days a week, inside your engineering team
- Price
- On request
Not for
- Staff augmentation. I take one problem to production, and a body-shop brief is the wrong instrument for that.
- Anyone who cannot give an outside engineer repository access. Without commit rights this becomes advisory work with a longer invoice.
- Teams who need general platform engineering, infrastructure, security or SRE. I do not run those in any engagement.
- Companies who want a permanent hire on a trial. I leave at the end, and the leaving is planned from week one.
- Interim CTO, or Chief Data & AI Officer
I take the seat, own the layer AI runs on end to end, hire the person who replaces me, and spend the last month handing over.
- Duration
- 6 to 12 months
- Commitment
- 2 to 3 days a week, inside your leadership team
- Price
- On request
Not for
- Anyone who needs general platform engineering, infrastructure, security or SRE leadership. I do not run those, and "CTO" normally implies all of them.
- Companies looking for a contract-to-hire route into a permanent role. I leave, and the leaving is the point.
- Anyone who wants the executive seat and the building hands in one engagement. Pick the seat or the forward deployed work, because two days a week does not cover both.
- Organisations where the real problem is that leadership does not want the answer the data gives.
- Data product management, installed
Twelve to sixteen weeks to build the data product management function: the role, the hiring loop, the intake process, proven by shipping real products.
- Duration
- 12 to 16 weeks
- Commitment
- 2 days a week
- Price
- On request
Not for
- Teams under about ten people in data. You do not need a product layer yet, you need clearer ownership.
- Companies that want the title without the authority. A data product manager who cannot decline a director is an expensive coordinator.
- Data governance and AI readiness
Eight to twelve weeks to a written position that holds up in an audit, a data room, or a regulator conversation, with controls built into the pipelines.
- Duration
- 8 to 12 weeks
- Commitment
- 2 days a week
- Price
- On request
Not for
- Anyone who wants a compliance opinion. I am not a lawyer and this is an operating checklist, not legal advice.
- Organisations looking for a policy document to file. If nobody changes what they do, you have bought paper.
Start
Thirty minutes, no deck. Tell me what is going wrong and I will tell you whether I am the right answer. Often I am not, and I will say so.
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