01
Real systems change the job
The agent must access portfolio data, use existing APIs, check records, handle exceptions and pass work to the right person.
Specialist AI delivery for UK investment and asset managers
You’ve invested in AI. Now you need someone to make it work inside your firm.
Your pilot looks promising. Your operations team knows where it could save time. But production means connecting sensitive investment data, existing systems, permissions and approvals.
Agentic Founder, founded and led by Peter Idah, works alongside your existing team to build, integrate and deploy production AI agents inside your firm’s systems.
01 One valuable workflow
02 Your existing systems
03 Senior engineering involvement
04 Delivered into production
The problem
You know what you want AI to do. Getting it into production is another matter.
The demonstration worked. Your investment business runs on systems, data and controls the demonstration never had to deal with.
02
Production needs accountable controls
It must respect existing permissions, leave evidence of what happened and have a clear owner when something fails.
03
Your engineers already have a business to run
They understand your systems better than anyone. They are also maintaining the infrastructure your firm depends on.
04
You need defined specialist capacity
Bring in the capability required for one valuable piece of work, not another permanent team to recruit and manage.
Where we help
Where is your AI initiative getting stuck?
01
The pilot works. Production is waiting.
Security, permissions, testing and support must be resolved before anyone can rely on it. We take the pilot through the production boundary alongside your team.
02
You’ve bought the AI product. The integration is still yours.
Microsoft, Claude, AWS, Snowflake or a specialist product does not automatically understand your systems, APIs, permission model or approval process. We build the firm-specific integration.
03
Every new agent creates more engineering work.
Monitoring, credentials and audit records spread across implementations. We establish reusable production patterns your team can maintain and extend.
The offer
One valuable workflow. Built around your business. Delivered into production.
Agentic Founder embeds specialist applied AI engineering capability alongside your technology and operations teams and takes responsibility for a defined implementation.
01
Choose
Choose the workflow
Agree the manual work, systems involved, business owner and measurable result.
02
Build
Build inside your environment
Use the technology you have already invested in and connect the necessary data, APIs and tools.
03
Test
Test real operating conditions
Prove the workflow against representative cases, exceptions and failures before release.
04
Launch
Launch and establish ownership
Deploy with monitoring, documentation and clearly agreed support responsibilities.
The result
Your team keeps ownership.
We bring the additional expertise needed to deliver the work and leave your engineers with an implementation they understand.
- A live production workflow
- Connections to existing systems
- Appropriate access and approvals
- Tested exception handling
- Monitoring and documentation
- Reusable engineering patterns
The first engagement
Production Agent Review
A focused engineering engagement for one high-value workflow.
We examine the process, data, systems, APIs, permissions, approvals and operational dependencies. You leave knowing what must be built, what your platforms provide and whether to proceed.
Discuss your workflow →What you receive
Defined use case and success criteria
Systems, data, API and approval map
Technical design and risk review
Delivery scope, responsibilities and costs
A standalone engagement scoped and quoted before work begins. You retain the findings.
What we build
Start with work your most expensive people should not assemble manually.
Investment operations
Reconciliations and exception handling
Bring information together, identify discrepancies and prepare the evidence an operations specialist needs.
Investment and product reporting
Reports from governed investment data
Prepare repeatable outputs from approved portfolio, performance and risk sources with review before publication.
Private markets
Capital calls and investment documents
Extract information from notices and statements, compare it with internal records and route discrepancies.
Wealth operations
Client and adviser preparation
Bring together authorised client information, portfolio records, meeting history and outstanding actions.
Who we work with
Serious AI ambition.
Limited spare engineering capacity.
We work with specialist UK investment managers, asset managers, wealth managers, family offices and closely related regulated financial firms.
Your technology people already support critical systems. Your obligations do not become simpler because your organisation is smaller.
A strong fit
- An AI initiative, pilot or specific use case
- Existing systems and proprietary data
- A capable but fully committed technology team
- A clear business owner
- Demand for a production outcome
- A specialist partner working alongside your people
Not the engagement
- Basic AI education
- A general strategy presentation
- A replacement enterprise platform
- Unchecked autonomous advice
- Junior staff augmentation
- A project that ends with a demo
Why Agentic Founder
You do not need another platform. You need the right people to finish the job.
We work with what you have chosen
We start with your existing technology and suppliers. New technology enters only when it solves a specific problem.
Your engineers keep ownership
They remain involved in architectural decisions without absorbing the entire delivery workload.
Senior involvement throughout
The person responsible for the engagement remains involved in engineering and delivery.
Responsibility beyond the demo
Controls, testing, monitoring, documentation and operating responsibilities are part of the outcome.
About
Specialist engineering. Direct accountability.
Agentic Founder is a boutique applied AI engineering practice founded by Peter Idah.
Peter Idah brings more than two decades of experience in production systems, cloud infrastructure and regulated financial services, including hands-on enterprise AI engineering in investment management.
The practice works directly with business and technology leaders, bringing in additional specialist capability according to each engagement.
No large delivery pyramid. No unnecessary platform replacement. No project that ends with a demonstration.
Before we talk
Questions your team will ask.
No. We begin with the technology and suppliers you already use and make those investments work inside your operational environment wherever practical.
No. We take on an agreed delivery scope and work alongside your engineers. Documentation and the support or handover model make ownership clear.
Only through the access model approved for the workflow. Permissions, data boundaries, logging and human approvals are designed and tested before deployment.
We can help identify a suitable starting point when there is a clear business owner and access to the people who understand the problem.
You can operate it internally, agree ongoing support with us or extend the engagement. Reusable controls and patterns reduce the work for subsequent agents.
Discuss your workflow
Which AI workflow would you put into production if your engineers had the capacity?
Tell Peter Idah what you are trying to build, which systems it needs and what is holding it back. We will discuss whether a Production Agent Review is the right next step.
Discuss your workflow →