01
AI has become urgent
Boards, clients, employees and competitors are forcing the question. Waiting indefinitely is no longer a credible plan.
For UK investment, asset and wealth management firms
You need to adopt agentic AI.
Your team does not have time to build it.
Your technology people are swamped. The right specialists are difficult to hire. But your firm cannot afford to watch competitors put AI agents to work while yours remain in demos.
I’m Peter Idah. I provide the experienced outside team to choose, build and run your first production AI agents—without another large consultancy, cloud sales process or permanent hiring programme.
01 Production delivery
02 Your existing stack
03 Secure action, not just answers
04 No permanent hiring
The problem
Your firm needs to move. Your people are already fully committed.
Agentic AI is now a business priority, but making it useful is a substantial job. Most focused investment firms cannot spare or hire a complete specialist team to do it properly.
02
Your existing team is already swamped
Technology, data, operations, security and compliance already have full workloads. Nobody has capacity to own a new production capability end to end.
03
The right people are difficult to hire
You would need several specialist skills, not one new employee. Recruiting an entire permanent team is slow, costly and difficult to justify.
04
The usual suppliers do not solve the whole job
Cloud providers sell platforms. Large consultancies sell programmes. Software vendors sell products. You need one accountable team to make agentic AI work inside your actual firm.
The market, in its own words
“As a smaller business, RAM will never have a team of engineers to build out a big AI platform.”
Stephen Wood, COO, Rathbones Asset Management Source ↗
92%of UK wealth firms outsource part of their business.
45%use or are considering AI within the next year.
FCA Wealth Management Survey, August 2026. Source ↗
The offer
Your external agentic AI team
I provide the people and practical leadership to choose, build, launch and run agentic AI in your firm. We begin with one valuable use case and expand only when it works.
01
Choose
Choose the right first use case
Find a piece of valuable work where an agent can save time or increase capacity, with a clear owner and measurable result.
02
Build
Build it around your firm
Work with the systems, suppliers, information and approval processes your business already uses.
03
Prove
Prove it on real work
Test it with the people who will use it. Keep people in charge of decisions where judgement and responsibility matter.
04
Operate
Launch it and keep it working
Take responsibility beyond the demonstration: launch it, monitor it, improve it and support your team in production.
What you get
A production capability without building the team.
One accountable team, one valuable starting point and continued responsibility after launch.
- One agent doing valuable work in production
- A build around your existing systems and suppliers
- Your people remain in charge of important decisions
- Testing against real work before launch
- A clear record of what the agent has done
- Ongoing operation and improvement
Good first workflows
Start where expensive people are still assembling the answer.
Private markets
Capital calls and private-asset reporting
Extract information from notices and statements. Reconcile it against internal records. Route exceptions to the right person before the report moves.
Keep the review. Remove the assembly work.
Investment operations
Investment and product reporting
Bring governed portfolio, risk and performance data into a repeatable report with source evidence and approval.
Wealth operations
Client meeting preparation
Assemble the portfolio view, recent activity, CRM history and open actions before the adviser starts work.
Regulated documents
Document processing with a decision trail
Classify, extract and draft from client documents while preserving the sources, reviewer and final decision.
Who this is for
Serious about agentic AI.
Too stretched to build the team.
The best fit is a UK investment, asset or wealth firm that needs to adopt agentic AI but cannot free, recruit or justify a complete permanent team.
You already use external specialists. You now need one that can take agentic AI all the way into production.
A strong fit
- Boutique asset manager
- Multi-family office
- Complex wealth or fund-services firm
- COO, operations or data-owned use case
- Existing platform and available data
- A clear manual cost or growth constraint
Not the engagement
- A general AI strategy
- A new enterprise platform
- Autonomous financial advice
- A chatbot with no workflow behind it
- Staff augmentation with an AI label
- A prototype with no business owner
Why work with me
One accountable specialist instead of another supplier maze.
I start with the business result
The work starts with what your firm needs to achieve—not a product I need to sell.
I work with what you already have
I work alongside your current technology, internal teams and trusted suppliers rather than forcing in another platform.
You deal directly with me
I remain responsible from the first decision through launch. The work is not handed down a large consultancy pyramid.
I stay for production
A successful demonstration is not the finish line. I take responsibility for making the service dependable in day-to-day use.
Who you are working with
A senior delivery partner who stays accountable.
I'm Peter Idah. My background spans production systems, regulated industries, enterprise delivery and commercial strategy.
I work directly with the business leader who needs the outcome and the internal teams responsible for the firm. My role is to turn a priority that nobody has capacity to own into a working production service.
I take on a small number of clients at a time. You work directly with me, and I bring in only the specialists your engagement actually needs.
Before we talk
Questions a COO will ask.
No. The engagement starts from the systems already approved inside the firm. If the workflow requires a new product, you will see the reason, cost and ownership before a decision is made.
No. The build defines where software can proceed, where an exception stops the process and where a named person approves the output. Financial judgement stays with the firm.
A specific workflow, a business owner and access to the people who run it. The source data should exist, even if it is fragmented. You do not need a finished AI strategy.
The technical and control owners join the work early. Data access, architecture, security, review and evidence requirements shape the build before it reaches production.
Your team receives the working process, source, tests, operating runbook and ownership map. Ongoing support is available when the firm wants it, but the build does not depend on a permanent consultancy retainer.
Start with the stuck workflow
What could your firm put an AI agent to work on?
Tell me what the business needs, why your current team cannot take it on and what a successful result would change.
Talk directly to Peter ↗