AI readiness assessment
The AI Opportunity and Risk Diagnostic reviews workflows, potential value, data access and failure cost. From £2,500 fixed fee.
Outputsworkflow map/opportunity and risk register/prioritised 90-day roadmapI help small businesses choose where AI is useful, turn one recurring workflow into a working system and give the team clear operating rules. Start with the business problem: slow enquiry handling, repeated reporting, marketing preparation or a process with no clear owner.
Turn disconnected experiments into a prioritised operating roadmap.
Connect models, tools and business processes around a clearly owned outcome.
Define what good looks like and stop unsupported outputs becoming business facts.
Choose cloud or local processing around the information and risk involved.
Thomas Howcroft is an independent AI consultant working remotely with UK businesses. I help you compare opportunities, design and test a workflow, or support the people responsible for using it. The work starts with a defined process, a named owner and evidence of what needs to change.
If you need to choose where to start, use the AI readiness assessment. If you already have one recurring task in mind, explore the automation pilot. Training and fractional leadership support the team and the longer-term operating decisions. Human approval is required before anything is sent or published.
Each engagement has a defined output, boundary and handover. The introductory conversation checks fit; detailed diagnosis and scoping are paid work.
The AI Opportunity and Risk Diagnostic reviews workflows, potential value, data access and failure cost. From £2,500 fixed fee.
Outputsworkflow map/opportunity and risk register/prioritised 90-day roadmapReview an existing pilot or live workflow, agree acceptance criteria and test the failures that matter to the business. Scope is agreed before work begins.
Outputsevaluation suite/failure map/operating controls and recommendationThe Governed Agentic Pilot takes one workflow through implementation, evaluation and handover. First pilots from £1,750 fixed fee, with 50 percent to book and 50 percent on working handover. Use the 16-question AI Pilot Checklist to examine the scope.
Outputsworking workflow/acceptance tests/documentation and handoverThe Fractional AI Systems Lead owns the agreed roadmap, important technical decisions, governance, delivery oversight and adoption. From £3,000 a month; responsibilities, duration and weekly days are scoped.
Outputsdefined decision ownership/weekly operating cadence/monthly evidence reviewLeadership and Team AI Training is built around your real work and risks. From £1,250 per half-day session; total programme length is agreed to fit the work.
Outputstailored sessions/working rules/practical adoption planThe portfolio includes internal systems, live applications, public websites and paper-only research. These are first-hand operating cases, not promises of client results. Each case states its evidence and limits.
Connected tools support research, reporting, publishing, approvals and internal dashboards across active operations.
Read the full caseEvidenceworking interfaces/evaluation and incident loop/human approval for external actionsToday, Briefing, Work, Brand, Health, Review and mobile approvals reduce noise without exposing personal records.
Read the full caseEvidencedesktop and mobile surfaces/honest stale states/exact approval packetsAn internal platform connects project truth, studio schedules, reviews and management decisions while restricting each view by role.
Read the full caseEvidencecontrolled project source/role-shaped views/automated privacy checksRole-shaped surfaces combine approvals, voice, native notifications, health sources, cross-device state and designed recovery.
Read the full caseEvidencesigned build/physical-device checks/recovery and deep-link proofThe live poker beta, public website, search estate, creative system and AI content operations share explicit quality and approval gates.
Read the full caseEvidencelive beta/offline-aware logging/search and publishing controlsThe work moves from an owned business problem to a system the team can understand and operate.
Define the workflow, decision, baseline, sponsor, evidence and failure cost.
Set the data boundaries, tools, ownership, approval points and acceptance criteria.
Implement the smallest useful workflow and test it against known failures.
Document the operating rules, train the people involved and agree how evidence is reviewed.
I work with founder-led and mid-market B2B, technology, professional-service and creative organisations.
A useful starting point: a recurring workflow or decision, a named sponsor, access to the people and data involved, and a willingness to test before scaling.
Clear boundaries: this practice covers scoped AI consulting, implementation, training and fractional leadership. It does not offer full-time employment, generic staff augmentation, pure model research or specialist ML engineering.
Creative production work belongs to XO3D. Technical SEO and AI-search visibility delivery runs through TomHow.
Scope, responsibility and limits are agreed before work begins.
Both. An engagement can stop at a diagnostic and roadmap or continue into a separately scoped workflow build. The pilot includes implementation, evaluation and handover. The scope states exactly what I own and what your team provides.
No. A predictable step may need an ordinary rule or integration. AI is useful where information needs interpreting or a draft needs preparing, with checks appropriate to the task. I start with the process and the result, then choose the tools.
Yes. I can work alongside an internal team or lead a defined workstream. Responsibilities, data access, approval points, acceptance criteria and handover are agreed before the build.
Drafting and preparation can be automated. My current standard requires human approval before anything is sent or published. Phone and video conversations with clients stay human. The scope makes responsibility for external actions clear.
Data handling and system boundaries are agreed before work begins. Cloud services are used where appropriate, with local processing available where information needs to remain private. The choice depends on the information and risks involved.
No. I take remote UK projects and part-time contracts for up to three days a week. Fractional AI Systems Lead work runs at one to three days a week, with defined responsibilities, a weekly operating cadence and a monthly evidence review.
No. I define measurable objectives, report the available evidence and state its limits. We agree acceptance criteria and test the failures that matter to the business. A workload estimate without a recorded baseline is not presented as a measured saving.
Decide which workflow deserves attention before committing to a build.
See useful starting points across lead handling, reporting and operations.
Understand the first pilot terms and the costs to examine.
Assess evidence, ownership and handover when comparing consultants.
Match the problem you have to the right first engagement.
Build a recurring report your team can still stand behind.
Collect details once and keep commitments with a person.
I review every brief myself. If the fit is right, I will suggest a short introductory call. If it is not, I will say so.
Send the current workflow, tools involved, what needs to change, the sponsor, timing and likely investment range. The introductory call checks fit; detailed diagnosis and scoping are paid work.