AS YOUR AI OFFICER · AI STRATEGY & IMPLEMENTATION

FROM AI PILOT
TO PRODUCTION.

We find where AI will genuinely pay back in your business, decide what to do first, and put it into production with the right safeguards. Then we measure whether it worked.

THE UK MID-MARKET, 2026
10%
have moved all of their AI initiatives beyond pilot
48%
cite lack of expertise as a reason projects stall
SOURCE: KLARUS, 2026 (UK & IRELAND) ↗
OUR APPROACH_01

STRATEGY THAT
GETS IMPLEMENTED.

Because the person who writes the AI strategy is accountable for delivering it.

DISCOVER

Where time, cost and revenue are lost today, and where AI could realistically change that.

PRIORITISE

Opportunities scored on value, feasibility, data readiness and risk, turned into an AI roadmap.

IMPLEMENT

The first use case built and put into production as a focused MVP, integrated with your systems.

MEASURE & SCALE

Results reported against the business case. Then the next use case on the roadmap.

WHAT WE IMPLEMENT_02

AI THAT DOES
REAL WORK.

AI-POWERED PRODUCTS

New customer-facing products and features with AI at the core, like OnCourt AI's swing analysis or Forge Ideas' idea evaluation.

AGENTS & ASSISTANTS

Chat and voice agents that handle enquiries, qualify leads and support customers, with a human in the loop where it matters.

WORKFLOW AUTOMATION

Taking the manual steps out of quoting, onboarding, reporting and admin, across the tools you already use.

TEAM ADOPTION

Getting real value from the AI tools your team already pays for, with role-specific training and clear usage policies.

GOVERNANCE_03

"IS THIS SAFE?"
GOOD QUESTION.

As your AI Officer, governance is part of the job, not an afterthought. It's what 25 years in regulated financial services teaches you.

YOUR DATA STAYS YOURS

GDPR-first design. You know where data lives and that it isn't used to train third-party models.

HUMAN IN THE LOOP

AI drafts, flags and recommends. People sign off on what matters to customers and the business.

NO BLACK BOXES

Clear policies and plain-English explanations of what each system does, and why.

HONEST ABOUT LIMITS

We'll tell you where AI isn't the answer, not just where it can save time.

TYPICAL FIRST PROJECTS_04

WHERE AI
PAYS BACK FIRST.

The first AI project should be small, measurable and close to everyday work. These are the most common starting points.

CUSTOMER ENQUIRIES

Chat and voice agents that answer, qualify and route enquiries around the clock, with a person stepping in where it counts.

DOCUMENTS & ADMIN

Drafting, summarising and checking proposals, reports and paperwork in a fraction of the time.

INSIGHT FROM DATA

Turning reports, transcripts and records into answers your team can act on.

TEAM ADOPTION

Getting real value from AI tools your team already has, with training and guardrails.

QUESTIONS_05

AI, EXPLAINED.

WHERE SHOULD WE START WITH AI?

With the business, not the technology: where time, cost or revenue are being lost today. We shortlist the use cases worth doing, score them, and start with the one most likely to pay back quickly.

DO WE NEED CLEAN DATA FIRST?

Not always. Some valuable AI uses need very little data, such as drafting, triage or assistants. Where data quality matters, we'll tell you what to fix first and what can wait.

WHICH AI MODELS AND VENDORS DO YOU USE?

We're independent and choose per job. Recent work uses OpenAI, Anthropic Claude and xAI Grok, and we design systems so you can switch models as the market changes.

HOW DO YOU KEEP OUR DATA SAFE?

GDPR-first design, providers that don't train on your data, clear usage policies for staff, and a human in the loop for anything that matters to customers. It's standard practice after 25 years in regulated banking.

HOW DO YOU MEASURE WHETHER IT WORKED?

Each use case starts with a baseline and a business case. After launch we report against it, in time saved, cost reduced or revenue added, so you can decide whether to scale it.

CAN YOU HELP OUR TEAM USE TOOLS LIKE CHATGPT OR COPILOT?

Yes. Role-specific training and simple policies often unlock more value from tools you already pay for than a new build would.

WHAT DOES IT COST?

From £800 per day for strategy and AI Officer time, with the total agreed in advance. AI builds are scoped and priced separately.

ALREADY RUNNING AI PILOTS?

LET'S GET ONE
INTO PRODUCTION.

We'll review what you have, tell you what's worth finishing, and own getting it live.