Services

AI consulting for specialist small businesses.

Hands-on help for specialist agencies, consultancies, and founder-led teams that want practical AI workflows, clearer delivery habits, and safer adoption without noise, theatre, or tool sprawl.

The offer

From experiment to operating capability.

Most specialist small businesses do not need an AI transformation programme. They need one useful workflow that proves value, respects trust, and can be owned by the people doing the work.

I help identify those workflows, build the first version, train the people who will use them, and leave behind repeatable practices the business can own.

Who this is for

Small teams with expensive expertise and repeatable knowledge work.

Specialist marketing and campaign agencies Briefs, research, creative variants, client reporting, production checks, and campaign learning loops. B2B consultancies and expert service firms Proposals, discovery notes, market research, delivery documentation, QA, and reusable knowledge. Founder-led businesses with trust-sensitive work Workflows where data boundaries, review discipline, and customer confidence matter as much as speed.

Packages

Start with one practical workflow your team can use.

1-2 weeks

AI Workflow Review

A focused diagnostic for business owners who know AI matters but need clarity on where it should actually enter the work.

  • Workflow and bottleneck map
  • Top opportunities ranked by value, risk, and effort
  • Private/local AI recommendations where needed
  • Practical next-step plan

2-4 weeks

Practical AI Build Sprint

For teams ready to turn one workflow into a working, reviewable, repeatable process.

  • Configured workflow or lightweight agent-assisted process
  • Prompts, templates, and source material patterns
  • Human review checklist and operating notes
  • Team walkthrough and handover

Monthly

Enablement Retainer

For businesses that want ongoing improvement without losing the discipline of small, evidence-led adoption.

  • Monthly workflow improvement cycle
  • Founder and team coaching
  • Documentation and adoption checks
  • Risk, data, and quality review

What you leave with

Practical assets, not abstract advice.

Workflow map

A clear view of the work, handoffs, bottlenecks, review points, and places where AI can safely reduce drag.

Prioritised use cases

A ranked shortlist based on value, risk, effort, data exposure, and the confidence your team has to operate it.

Build-ready plan

A practical path for the first sprint, including prompt patterns, source material, acceptance checks, and handover needs.

Relevant work

Built around real campaign operations, not demo theatre.

Recent work includes AI workflow enablement for We Celebrate, a specialist agency delivering investment and trading campaigns.

The public promise is deliberately modest: improve the way the work is done, keep human judgement in the loop, and leave behind repeatable capability. The point is not to automate away expertise. The point is to help expertise move with better rhythm.

Good fit

  • You run a small business and know AI matters, but need practical direction.
  • Your work depends on content, research, delivery quality, client trust, or repeatable review.
  • You want workflows your team can understand, use, and improve.
  • You care about customer trust, data boundaries, and avoiding unnecessary exposure.
  • You prefer useful capability over vendor theatre.

Not a fit

  • You want vague AI strategy with no implementation.
  • You want to automate judgement you have not yet learned to make well.
  • You want growth at any cost, including avoidable customer or team risk.
  • You want a black-box dependency instead of capability transfer.

The useful question is not "which AI tool should we buy?" It is "which business capability should we build first?"

Use cases

Common places AI can become useful work.

Campaign and content operations

Briefs, creative variants, research summaries, editorial review, production checks, and handover notes.

Knowledge and research workflows

Source-grounded summaries, document review, decision notes, customer or market research, and internal knowledge reuse.

Delivery and QA support

Repeatable checklists, acceptance criteria, client-ready drafts, risk review, and workflow documentation.

Private/local AI patterns

Safer handling for sensitive drafts, strategy, client material, or internal context that should not be casually exposed.

Founder decision support

Structured thinking, trade-off notes, implementation plans, and practical challenge before money or time is spent.

Team enablement

Prompts, examples, review habits, documentation, and coaching so AI becomes a working habit people can own.

Start

Book a practical workflow review.

Bring a real workflow, a real bottleneck, or a real business question. I will help turn it into an implementation path you can test, own, and improve.

Start a conversation Review the first step