We make business work. We make AI work.
Not just techies. Not just consultants. Neither. We've owned complex business problems for thirty years — multi-million-dollar programmes inside the world's largest institutions, hands-on inside scale-ups, founder of multiple companies. We combine senior operating experience, AI engineering capability, and commercial proof to deliver what business leaders actually need: cost out, revenue in, regulators happy. Through technical + business discovery, we identify how AI, technology, and process redesign can transform specific outcomes — then ship in fast parallel sprints measured in days and weeks, not quarters.
How the AI runs. Code-writing and review-writing systems run on disjoint scope — epistemic independence. No agent marks its own homework. The same triangulation principle that runs every algorithm on our trading platform runs every engagement here.
Three recent engagements. Different industries, different challenges. Same approach: 90-minute discovery identifies the transformation opportunity. Technical + business plan delivered in days. First working systems shipped in days to weeks. Value measured from week one.
Challenge: Manual competitive intelligence tracking. Limited market share in £75k-100k segment (~2% vs. 25-30% addressable). Operational inefficiencies across customer experience.
Discovery: 90-minute technical + business session with CEO and CFO identified seven coordinated transformation opportunities across market intelligence, customer experience, and operational automation.
Transformation plan: AI-enabled market intelligence automation + operational process redesign + customer engagement transformation. Delivered 48 hours after discovery session.
Identified value: £1.1m annual net revenue opportunity from increased market share + operational efficiency gains. Implementation in fast parallel sprints.
Challenge: Manual monitoring of FinTech regulatory changes across EU/UK jurisdictions. 5-8 hours per week per client. Inconsistent coverage — analysts miss breaking news and regulatory deadlines.
Solution: Implemented AI automation using approach similar to Anthropic's financial services templates (released 7 May 2026), customized with EU/UK regulatory context and FinTech domain expertise. Connected to RSS feeds, regulatory sites (FCA, EBA, ESMA), and competitor tracking.
Delivered: 7 days from discovery to production system. AI workflow: daily scrape → Claude analysis against client-specific brief → weekly digest → same-day escalation for high-priority items.
Result: 80% time reduction (5-8 hours/week → 1 hour/week per client). Same-day escalation vs. weekly lag. 10x client capacity with no additional analyst headcount.
Challenge: FCA Consumer Duty requires evidence of good client outcomes. Manual note-taking inconsistent across 4-adviser team. Documentation gaps discovered during internal audit — too late to fix. Time-consuming to prepare evidence pack for FCA review.
Solution: Implemented AI-enabled compliance monitoring with Consumer Duty framework customization. Connected to email (Outlook API), meeting notes, call transcripts. AI analyzes every interaction against FCA requirements, flags gaps, generates audit-ready evidence archive.
Delivered: 14 days from discovery to full adviser team adoption. System running production for entire firm.
Result: 70% time reduction on compliance documentation (30 mins → 10 mins per interaction). Proactive gap identification — issues surfaced immediately, not post-audit. Complete FCA audit trail, exportable to PDF. 100% team adoption after 1-week trial.
If you're in financial services, ready-to-run AI templates now exist for your most time-consuming workflows: pitchbook generation, compliance monitoring, credit memos, KYC screening, month-end close automation, client reporting, due diligence support. These aren't vaporware — they're production-grade AI systems that can deliver 60-80% time reduction on manual work when implemented correctly.
The value: What currently takes your team 5-8 hours per week drops to 1 hour. What takes 30 minutes per interaction drops to 10 minutes. Junior analyst work gets automated. Senior people focus on judgement, not grunt work. Measurable cost out and capacity increase from week one.
The implementation gap: Generic templates lack UK regulatory context and domain expertise. Consumer Duty for IFAs. MiFID II for asset managers. FCA lending rules for specialist lenders. Someone needs to bridge that gap — and do it in days, not quarters, so you see ROI immediately.
Why we're positioned for this: The market-entry specialist case above (80% time reduction in 7 days) used exactly this approach — pre-built AI templates + domain customization + regulatory context. Our unique combination of 30 years financial services operating experience plus agentic AI engineering capability means we can implement these pre-packaged offerings and unlock their value extremely quickly. Where most consultants either know FS or know AI engineering, we know both — and we ship working systems, not PowerPoint strategies.
Anthropic released 10 financial services templates on 7 May 2026, backed by a $12bn mid-market implementation fund. The templates exist. The capital exists. The window is open. The only question: do you have someone who can implement them with the domain expertise they lack?
AT Cisco · Oracle · ServiceNow | INTO HSBC · Lloyds · JP Morgan · Reuters & other global institutions at board level | Commissioned Officer, Royal Air Force
Same principles, same AI, same engineering as our systematic trading platform → ipqi.co.uk
Bring us one business problem. Cost pressure, revenue friction, compliance burden, operational drag. In a 90-minute discovery, we'll tell you whether there's a measurable value case for AI and transformation — or whether there isn't.
The questions that separate a serious transformation conversation from a slideware one. Most consultants are one of three things: senior operators, AI engineers, or commercially proven recently. We are all three.
Nothing upfront. No day rates. We agree the value measure in writing before work starts — and we get paid as a share of value once it's realised. Typical initial engagements £25k–£100k+; scope-flexible at the lower end for the right fit; partnerships compound into multi-million over time. The 90-minute discovery is on us either way.
A senior operator with 30 years of board-level delivery, directing AI engineering capacity and selected human specialists. Not a junior with a ChatGPT subscription. You speak to the person doing the work.
First quick wins in days, not quarters. Transformation plan agreed in weeks. We don't ask you to wait six months for a discovery report — the only thing that delivers value is shipping.
No win, no fee. If the transformation approach can't be made to land for your situation, you don't pay — and you've gained the operator experience and insights from the engagement regardless. Our incentive is identical to yours: real value, measurably realised.
No. We bring the engineering capacity. The only thing we ask of your team is openness and transparency — no special skills required, no systems to procure, no specialist team to staff. Your team's job is to know the business and confirm the outcomes.
Code-writing and review-writing systems run on disjoint scope. The same audit-by-construction discipline that runs our trading platform runs every engagement here. Evidence at decision time, not retrofitted to a deck.
Big-firm process. Big-firm slideware. Big-firm timelines. Big-firm bills, mostly to fund the partner pyramid. We're small, fast, founder-direct — the person who scopes the work is the person who runs it. Operator experience plus AI engineering depth, combined in one place rather than wired together across departments. Most consultants have one or the other. Most enterprise operators have neither. We have all three.