Boutique AI practice — Est. 2026

Solving real AI problems.

We don't stop at chatbots. We build and deploy AI products that solve hard technical problems for banks, public administration and complex enterprises, and that hold up in production and under audit.

Microsoft AICopilot+ PC, Windows AI
SanboAries client · private capital markets
University of CambridgeSenior bench, no juniors
Model-independentOpenAI · Anthropic · open-weight models

Professional highlights

University of Cambridge
University of Oxford
Microsoft
Tenstorrent
Telesign
UNDP
X& Financial
PolyAI

Selected work

Where we've shipped:
five practices, real systems.

Discuss your case →
01

Investment Deal Chatbot

A chatbot that knows every deal in the book.

Problem
Analysts spent hours digging through data rooms, term sheets and prior deal files to answer basic questions about live and historical transactions.
What we did
Built a deal-aware chatbot grounded in the firm's deal corpus with role-based retrieval, citation enforcement and conversational follow-up — wired into the analyst's daily workflow.
For your company
Any firm sitting on years of documents and decisions can give its team the same instant, cited access to what it already knows.

Result

  • 10×+
    faster analyst lookups
  • 100%
    answers with citations
  • Live
    across the deal book
02

Investment Memo Generation

First-draft investment memos in minutes, not days.

Problem
Producing an investment memo meant a week of analyst time pulling financials, market context and comparables into the firm's house format.
What we did
Designed a memo-generation pipeline that assembles structured financials, qualitative research and comparables into a house-style first draft for analyst review.
For your company
The same pipeline drafts any recurring, format-heavy document — credit papers, board packs, client proposals — in your house style.

Result

  • 50×+
    faster first drafts
  • House style
    preserved end-to-end
  • Analyst-led
    every memo signed off
03

Report Generation

Periodic reporting on autopilot.

Problem
Quarterly and ad-hoc reports for LPs and committees were stitched together by hand from spreadsheets, CRM exports and slide decks.
What we did
Built a report-generation system that pulls live data from underlying systems, runs the firm's standard analyses, and produces formatted reports ready for review.
For your company
If your team reassembles the same report from the same systems every month, that work can run itself.

Result

  • 10×+
    faster turnaround
  • Consistent
    format & narrative
  • Reusable
    across report types
04

Audit Automation

Audit prep that runs itself.

Problem
Audit cycles forced analysts into weeks of manual reconciliation, document gathering and control testing across fragmented systems.
What we did
Automated evidence-gathering and reconciliation with deterministic checks plus an AI layer that flags anomalies and drafts auditor-ready explanations with full traceability.
For your company
Regulated teams — banks, insurers, utilities — can cut audit season from weeks to days with evidence that assembles itself.

Result

  • 10×+
    faster audit prep
  • Full
    audit trail by default
  • Anomalies
    flagged, not buried
05

Always-On AI Employee

An AI employee that never clocks out.

Problem
Recurring knowledge work — sourcing new deals, drafting emails, building financial models — kept pulling senior people away from judgment calls, and it lived across too many tools to hand off.
What we did
Deployed an always-on AI agent that understands the organisation and sits inside the stack it already uses, with the connectors, tools and skills to run whole workflows end-to-end — from sourcing deals to drafting emails to building financial models. It builds memory as it works, so it grows smarter the longer the team uses it.
For your company
Any team with recurring knowledge work can add an AI employee that works in the tools it already uses — one that learns your business and gets better every week.

Result

  • 24/7
    always on
  • Your stack
    wired in, not bolted on
  • Compounding
    memory — smarter every week

Engagements

Four ways to work with us — each modular, each measurable.

I.2 days

Executive Workshops

A two-day intensive that turns abstract ambition into a ranked, costed AI roadmap your board will sign.

You leave with: a scored list of use cases, a cost and return range for the top three, and a 90-day plan.

  • ·Use-case discovery & scoring
  • ·Risk, governance & data audit
  • ·Roadmap with metrics
II.8–24 weeks

Build & Deployment

We design, ship and harden production AI modules — copilots, document AI, scoring, agents — integrated into your stack.

  • ·PoC → MVP → production
  • ·Eval framework & guardrails
  • ·On-prem, private cloud, or hybrid
III.3–6 weeks

Focused Sprints

Time-boxed, outcome-locked engagements when you need a specific bottleneck broken — fast, with a senior team.

  • ·3–6 week cadence
  • ·Working demo in the final week
  • ·Pass/fail success criteria
IV.Quarterly engagement

Fractional Chief of AI

An embedded senior AI leader for one to three days a week — strategy, hiring, vendor selection, board reporting.

  • ·Quarterly contracts
  • ·Board & exec reporting
  • ·Hands-on architecture review

AI Readiness & Return Check

Quick check · indicative estimate

How ready is your company for AI, and what would it be worth?

A readiness score across five areas and an indicative estimate of what an AI programme would cost you and return, in about five minutes.