AI & Automation
AI adoption that changes how the work actually happens.
Most businesses have bought AI tools. Far fewer have changed a single process. We start from where your margin and your hours actually go, pick the two or three places automation pays for itself, and put controls around it before it touches a customer.
Recognise any of this
Signals this is your problem.
- 01
Your team has licences for AI tools nobody has been trained to use.
- 02
A board member or investor has asked for your AI strategy and there is no document.
- 03
People are pasting customer or commercial data into consumer chatbots and no policy says whether that is allowed.
- 04
You suspect automation could remove a week of admin a month, but nobody owns finding out.
- 05
A vendor has quoted you a large number for "AI transformation" and you have no way to judge it.
The work
What the engagement actually involves.
Opportunity mapping
We interview the people doing the work, follow two or three high-volume processes end to end, and quantify where the time goes. The output ranks candidate use cases by hours recovered against effort and risk, so the first project is the one most likely to succeed, not the one that demos best.
Build, buy or leave alone
For each shortlisted use case we assess whether an off-the-shelf tool already solves it, whether it needs configuration around your data, or whether it is not worth doing yet. We are vendor-neutral and take no reseller commission, so "do nothing for now" is an answer we are free to give.
Guardrails and acceptable use
A short, readable AI usage policy your staff will actually follow: what data may go into which tools, where a human must review output, how you handle confidentiality and client consent, and what gets logged. Written to sit comfortably alongside UK GDPR and Australian Privacy Act obligations.
Evaluation before rollout
Before anything goes live we define what "good enough" means and test against it on your own real cases. Accuracy, failure modes, and the cost per task get measured, not assumed, so you can decide to expand or stop on evidence.
Implementation oversight
We can run the rollout or supervise your team or supplier doing it: sequencing, change management, training, and the unglamorous work of retiring the manual process the automation replaced.
Deliverables
What you are left holding.
Documents you own, in formats you can hand to a board, an insurer, an auditor or your next hire, not slides that expire when the engagement does.
- 01Ranked AI and automation opportunity register, with estimated hours recovered per use case
- 02Recommendation per use case: build, buy, configure, or defer
- 03AI acceptable-use policy and data-handling rules, written for staff rather than lawyers
- 04Evaluation criteria and test results against your own cases
- 05Sequenced 90-day and 12-month rollout plan with named owners
Straight answers
Questions we get asked.
Will this recommend replacing staff?
No. The work we do removes repetitive administrative steps so existing people can handle more volume and higher-value work. If a use case only makes sense as a headcount cut, we will say so plainly and let you decide, but that is not what we are for.
Are you tied to particular AI vendors?
No. We hold no reseller agreements or referral commissions for AI platforms, so the recommendation is based on fit and total cost. Where an incumbent tool you already pay for will do the job, we will tell you to use it.
We are heavily regulated. Is AI realistic for us?
Often yes, but narrower. In regulated settings the useful early wins are usually internal (document retrieval, drafting with mandatory human review, and quality checking) rather than anything customer-facing. We scope to what your obligations allow.
