The AI Operating System for European mid-market wealth management
Three macro forces converging. The window to build the AI OS in wealth is open now.
The largest intergenerational wealth transfer in history is underway. Recipients expect digital-native, personalised, always-on service that most wealth managers cannot deliver at scale. Source: Brooks Macdonald UK wealth transfer data.
AI spend at wealth management companies is set to triple within the next 3-5 years, surging from 16% to 37% of IT budgets as firms race to keep pace with industry change. Source: Wipro 2024 US wealth management survey.
Up from 58% in 2022. Wealth firms are moving from experimenting with AI to embedding it in regulated workflows, including compliance, research, and reporting. Source: Bank of England and FCA AI survey 2024.
Three forces converging. The generational wealth transfer is the demand trigger. AI capability is the supply trigger. And budgets are following, from 16% to 37% within 3-5 years. The window is open now. Bottom-up market sizing is covered later in the Global Market Opportunity slide.
Legacy systems can't scale trust, personalisation, or performance.
Relationship managers at private banks lose most of their day to manual data processing, fragmented platforms, and unintegrated research rather than clients. Source: McKinsey, Analytics transformation in wealth management.
Automating operational work can free almost half of RM time, with enough capacity to double AUM and revenue per adviser. Today that upside is trapped behind admin. Source: Accenture, Future of Asia Wealth Management 2023.
Wealth and asset managers spend most of their technology spend running legacy systems, leaving only 20-40% for change. Innovation is starved while costs compound. Source: McKinsey, Reshaping asset management operations with technology transformation.
Fragmented tech stacks across custody, portfolio, CRM, research and compliance mean every workflow crosses multiple systems, breaking data quality and oversight. Source: PwC Digital Banking Survey 2023.
Four verified problem stats. First, relationship managers at private banks spend 60 to 70 percent of their time on non-revenue work (McKinsey). Second, Accenture research finds that freeing that time could double AUM and revenue per adviser. Third, McKinsey also finds that 60 to 80 percent of tech budget goes to keeping legacy systems running. Fourth, PwC's 2023 Digital Banking Survey finds 37 percent of Swiss wealth managers run more than ten disconnected systems. All four reinforce the broken-infrastructure title.
An AI-powered operating system that connects data, agents, and workflows into a single workspace. Purpose-built for wealth managers.

One intelligent workspace for every role. Natural-language research, policy-governed actions, full audit trail.
WealthAi is the AI operating system for wealth managers. On the left, the actual Assistant UI, live today with our reference clients. Three sidebar blocks on the right tell the story: what the platform is (Assistant, Agents, Marketplace in one workspace), what each team in the firm gets (advisors their diary back, compliance on exception, operations on strategy, clients more face time and better advice), and how it works (four architecture layers, from the Experience layer at the top through the Runtime at the base). The Experience layer is highlighted because that's where our sales motion lands first.
Deep domain expertise across wealth management, AI engineering, regulatory compliance, and enterprise platform building.
20+ years fintech & WealthTech. Built and scaled regulated platform businesses. Scaled Paxos.
Strategic leader in enterprise AI and platform delivery. Deep financial services and platform background.
Qualified lawyer, ex-regulator. Extensive wealth and investment management expertise.
Jason has 20+ years in fintech, built and scaled regulated platforms. Pratim is a strategic AI leader with deep financial services background. Paul is a qualified lawyer and ex-regulator. This team has built this before.
A dedicated AI-powered co-worker for every role. Advisors, Compliance Officers, Investment Managers, and Operations.
Every role gets their own assistant. Advisors, compliance officers, investment managers, operations. It learns, it connects to specialised agents, and it plugs into their existing systems.
Every layer designed for regulated wealth workloads. Deeper dive on how the platform is built and what it ships with.

Three pillars group the architecture. Experience on the left is the Assistant UI plus the Marketplace of 17 partners including Morningstar, MDOTM, Axyon, WealthKernel, ROYC, Stratiphy, PlannerPal and more. Intelligence in the middle is the agent workforce, two live today (Research and Compliance launching Q2), ten plus by 2027, all orchestrated across Claude, GPT, Gemini and SLMs with policy, audit and guardrails. Foundation on the right is the unified data layer reaching 250 plus custodians and banks, and enterprise-grade runtime on Azure with SOC 2 and ISO certifications in progress. Slide 04 is the overview. This is the deeper dive.
A 100-person wealth manager grows from 1 agent to the full platform. ~10x ARR on the same logo in 24 months.
10 users on WAi Assistant. 1 Compliance Agent (MAR surveillance).
30 users (compliance + investments). 5 agents live.
100 users. 10 agents. MarketPlace integrations live.
Modelled metrics from financial model V2. The first cohort is in flight; observed CAC and ACV will be published after Q3 2026 close, NRR after 12 months of usage at the anchor client (Q4 2026).
This is a single 100-person wealth manager compounding. Land in compliance with 10 users and 1 agent. Expand across the firm as more teams adopt more agents, reaching 30 users and 5 agents around month 12. By month 24 the whole firm is deployed: 100 users, 10 agents, MarketPlace integrations live. ARR grows roughly 10x from ~£40K to ~£400K on the same logo. The unit economics underneath are what make this work: 16.9x LTV:CAC, 7.1 month payback, 108% NRR (compounding), 75% gross margin. Same playbook runs across every tier, from Boutique at £18K to Very Large at £495K. Detail by tier and the full 5-stage breakdown live in the reading deck.
| Stage | Firms | Y1 TCV (unweighted) |
|---|---|---|
| Live / MSA signed | 2 | £76.6K |
| Signed / Closed | 4 | £401.5K |
| Use Case Workshop | 5 | £267.4K |
| 2nd Meeting & Demo | 7 | £462.8K |
| Initial Contact | 7 | £1.4M |
| Total | 25 | £2.6M |
Two live clients on the platform today. 25 logos in the pipeline across all stages with £2.6M of unweighted Year 1 TCV. And the Capital Economics deal alone puts us in front of 250 institutional clients.
Partners flow into the platform to deepen what we sell. WealthAi flows out through platform partnerships to reach their clients.
Two distribution vectors, one central platform. Inbound on the left is the Marketplace: 17 partnerships, 6 live integrations, clients subscribe to best-in-class tools through one platform and we take 10 to 50% revenue share. MDOTM is our live Italian case study, and we have 10 more partners including Morningstar, Axyon, WealthKernel, ROYC and Stratiphy. Outbound on the right is the Platform Partnership model. Capital Economics is our flagship, MOU signed Q1 2026, embedding WealthAi into their platform reaches approximately 250 institutional clients. Terms in active review as CE finalises AI strategy. The principle is that inbound compounds revenue on existing logos and outbound compounds reach at near-zero CAC.
Regulation compounding, enforcement sharpening, AI crossing the line, capital pricing the category. Inside a 24-month window.
Four tracks all converge on right now. Regulation: Consumer Duty in 2023, DORA and EU AI Act prohibitions in early 2025, EU AI Act high-risk obligations in August 2026. Enforcement: five wealth-sector cases inside the window. Lighthouse (Quilter) paid £23M in redress in May 2023. Julius Baer International was fined £18M in September 2023. SJP set aside £426M for ongoing-advice redress in February 2024. FINMA confiscated CHF 12.7M from Mirabaud in September 2024. Barclays was fined £42.4M in July 2025 across two AML cases, one of which included £3.1M tied to the WealthTek client-money failings, the rest relating to a separate Stunt & Co case. Technology: GPT-4 made the reasoning viable, Claude 3.5 made long-context regulated work viable, reasoning models closed the gap, and ESMA explicitly accepted AI under MiFID II. Market: three AI-native competitors raised Series As inside twelve months, pricing the category. The cost strip at the top makes the burden visible. UK advice firms spend only 35% of their time on clients, 19% of revenue on compliance, 96% report regulation is diverting time. Swiss private banks are under margin pressure with cost-to-income at 75.5%. All published, all sourced, full research in docs/research.
Every other AI-native OS player is either tier-1 focused, US focused, or not wealth-pure. We own the open gap in the segment.
Three tiers on the Y-axis. Tier 1 is global banks, Tier 2 is large specialist private banks, Tier 3 is our segment, 5 to 500 staff, £100M to £20B AUM. Geography splits Europe from US. Tier 1 incumbents (FNZ, Temenos, Avaloq) target firms much larger than ours. Unique AG is the one AI-native Swiss play that exists but targets Pictet, UBP, LGT, Partners Group at the tier 1-2 end. US AI-native challengers (Nevis, Avantos, advisory.ai) don't operate in Europe. WealthAi sits alone in the European Tier 3 quadrant. That's the open gap. The full named competitor profiles and feature comparison live in the reading deck.
£5.5T UK wealth in motion. £600M addressable across our three initial markets. Methodical, market-by-market expansion.
UK intergenerational wealth transfer underway. The buyer base is changing. (Brooks Macdonald)
Holding $5.4T in assets. The fastest-growing buyer segment in our ICP. (Deloitte 2024)
Across our three initial markets (UK, Switzerland, Italy) at our blended ACV. 6% capture delivers £36M ARR. GCC expansion from 2027.
The UK alone has £5.5T of intergenerational wealth in motion (Brooks Macdonald). Globally, family offices grow from ~8,030 today to 10,000+ by 2030 holding $5.4T (Deloitte 2024). Our three initial markets (UK, Switzerland, Italy) represent approximately £600M in addressable annual revenue at our blended ACV, with 6% capture delivering £36M ARR. GCC expansion follows in 2027-2028. We go market by market with anchor reference clients. UK 2026, then Milan and Zurich 2027 where private banking density is highest. GCC 2027-28. US last, 2028+, once we have the proof points. Detailed expansion phase cards live in the reading deck.
A structured B2B funnel converts prospects via a cohort programme. Founder-led to Q2 2026, then the sales team activates Q3 2026 onwards.
Today (Q2 2026): V1 Assistant plus Compliance Agent sold as a bundle. The Assistant is the entry-level product. Compliance is the commercial wedge.
Q3 to Q4 2026: V2 Assistant productised. Agent range expands into Research, Investments, and Risk. Each new agent compounds the value for already-landed firms.
2027 and beyond: 10+ agents across front, middle, and back office. New clients start with the Assistant as their entry and add agents fit for their use case.
Expansion is driven by operational pull. Every agent returns real hours to a specific team. Compliance saves the MAR team the triage grind. Research frees analysts from manual screening. Advisory gives client-facing advisors their diary back. Once a firm sees one agent work, they want the next.
Our GTM is a structured B2B funnel converting prospects via a cohort programme, then expanding accounts through product-led growth. The cohort is the conversion engine: 8-12 firms in a 6-8 week programme together, anchor clients co-hosting, peer pressure driving commitment. Closing rates run 3-5x higher than linear sales cycles for comparable deals. Phase 1 is founder-led to Q2 2026 — Jason runs the first cohort with Saranac. The first 11 paying clients prove the model. From Q3 2026 the sales team activates: SDRs, inside sales, cohort delivery, CS, marketing and PR. The 11 clients are the proof, the playbook is the product, and the team that hires from Q3 onwards is running a proven system, not figuring it out.
50% soft committed | Close target: June 2026
We're raising 3 million seed with 50 percent soft committed and roughly 4 million of warm investor interest. We close in June. The seed takes us to 11 clients live and 732K ARR by end of 2026. Cash positive throughout, profitable in 2028 at 4 million EBITDA. NRR is 125 percent in 2027 and 108 percent in 2028, both cohort-based. LTV:CAC is 8.3 times in year one rising to 16.9 times by 2028.
The AI Operating System for the next era of wealth management.
£3M Seed | 50% soft committed | Target close: June 2026
Jason Nabi
jason@wealthai.techwealthai.tech | Confidential - April 2026