Manchester is the largest FinTech cluster outside London. Spinningfields, the city centre, MediaCity, and the broader Greater Manchester corridor host a concentration of banks, building societies, payment firms, lenders, and insurance operators that runs second only to the City and Canary Wharf in scale. For an AI agency, that is a serious back-office automation market. For the FinTech firms operating in it, the question is more practical. What workload should you actually put AI on, and where does the architecture stop being a research project and start being a production system the FCA can audit?
This is what we build into Manchester firms.
The Manchester FinTech back-office workload
We see the same pattern across most Manchester FinTech engagements.
The team has digitised the workflow. The case management system is in place, the document store is in place, the integrations into the core banking platform exist. What has not been automated is the cognitive layer: the analyst time spent reading documents, classifying cases, screening sanctions and PEP lists, watching transaction patterns, and writing up the regulatory reports.
KYC at scale, especially business KYC for SME and corporate clients, is document-heavy and inconsistent. AML transaction monitoring generates volumes of low-confidence alerts that have to be triaged. Sanctions screening throws false positives that need analyst judgment. Regulatory reporting against Consumer Duty, IFRS 17, FCA returns, and supervisory letters absorbs senior analyst time on a recurring cycle.
These workloads are exactly what full code AI is for. They are not what a no-code automation platform can serve under FCA scrutiny.
Why FCA-regulated workloads need full code
FCA-regulated firms cannot route customer data through a third-party LLM provider without taking on contractual and audit consequences they usually cannot afford. The standard no-code AI platform contract sends customer data, including PII and transaction data, through a third-party provider for inference. For a regulated firm, that introduces a data-export footprint the supervisory regime does not want to see.
Full code AI sidesteps this entirely. The model runs inside the firm's tenancy. Inference happens on infrastructure the firm controls. No third-party LLM provider sits in the data path. Customer data does not leave. The audit trail is in the firm's own logging stack.
That is the architecture FCA Senior Managers Regime accountable individuals can defend. It is also the architecture that survives a Consumer Duty review without rewriting your data flows.
What we build into Manchester FinTech firms
The high-value targets for Manchester back-office automation are consistent.
Document-heavy KYC and onboarding. Business KYC for SME and corporate clients is the single largest analyst-time sink in most Manchester FinTechs. Document extraction, identity verification, beneficial ownership analysis, sanctions and PEP screening, all integrated into the existing case management system, with the residual exception cases routed to analysts with full context.
AML transaction monitoring at scale. Pattern detection over transaction streams, with confidence-graded alert generation that lets analysts prioritise true positives over false alarms. The AI does not replace the analyst function; it removes the drudge work that crowds out the genuinely suspicious cases.
Regulatory reporting and Consumer Duty. Automated draft generation for FCA returns, Consumer Duty quarterly reviews, IFRS 17 calculations, complaints reporting, and supervisor letters, with full source-document traceability so the senior named individual can sign off without reverse-engineering the inputs.
Customer-service automation that preserves the regulated boundary. Customer-facing AI that knows what it can and cannot say under FCA financial promotion rules, integrated with the case management system so that anything regulated escalates to a human with full context.
How the Manchester delivery actually works
Ayoob AI is registered at Newbridge Street, Newcastle upon Tyne. Manchester delivery is a regular part of how we operate, not an exception. The Newcastle to Manchester train is two hours direct.
Discovery is in person, in Manchester, in week one. Technical design review at month one is in person. Sprint demos are biweekly, with the on-site or remote split depending on what the project actually needs. For higher-touch FCA-regulated engagements, weekly on-site sessions are part of the retainer scope at no extra cost. Day-to-day delivery is remote-first, which is the same operating model your existing London suppliers use.
The procurement profile is the kind FCA-regulated Manchester firms can buy from without escalation: ISO 27001:2022 certified, Cyber Essentials accredited, ICO-registered, GDPR-compliant by architecture. Five pending UK patents on the GPU and AI compute infrastructure underneath the work. Place on CCS RM6200 (AI Dynamic Purchasing System) and RM6173 (Automation Marketplace) for direct award where applicable.
Pricing and commercial shape
Existing systems retainer from £4,000 per month. New systems retainer from £6,000 per month. Both on a 12-month minimum term. Exact pricing is set on consultation against a written scope, fixed inside one week of the discovery call.
Hosting and model API costs sit outside the retainer and are paid by the client directly to their own cloud and model providers. No per-seat software licences on the systems we build for you. No marked-up cloud costs. No third-party LLM subscription billed monthly through us.
The retainer model is covered in detail at what AI automation actually costs a Newcastle SMB. The full picture of how we deliver across Greater Manchester is at AI automation Manchester.
Getting started
The first step is a 30 minute discovery call. We tell you straight whether the work is a fit, and if it is we send a written scope and a fixed monthly number within a week.
