AI automations that free your finance team from manual processing — and upskill them with the tools that are transforming the profession. AI tools from 2026, deployed with 30 years of experience.
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Based on a full proof-of-concept assessment of a fictitious £30m charity (built with AI as a test case)
Finance teams everywhere face the same challenge: too much time spent processing, not enough time for the work that actually matters.
Your team spends days on journals, reconciliations, and pulling together reports. The same manual steps, every single month.
By the time the numbers are ready, the board meeting is tomorrow. Analysis and insight get squeezed out by process.
Every spreadsheet formula, every manual journal, every copy-and-paste is a potential error. Your auditors know it. Your team knows it.
Finance professionals who see AI transforming the profession want to work with it, not without it. Organisations that don't invest in upskilling lose their most ambitious staff to those that do.
Send us your GL transaction export and your month-end close timetable. We'll produce a full automation assessment showing which processes can be automated and how much time your team could save.
We build each automation against your chart of accounts, cost centres, and fund codes. Your data, your structure, your rules.
Full parallel run — your manual process alongside the automated version, compared line by line. Nothing goes live until the numbers match.
Team training, full documentation, and post-go-live support. When we leave, your team runs everything independently.
Every journal. Every reconciliation. Every variance. Configured to your data.
Three decades improving finance processes, combined with fully tested AI automation tools. Every automation has been validated end-to-end against real finance data.
Every automation is built against your chart of accounts, your cost centres, your fund codes. We've tested this across 93 GL codes, 37 cost centres, and 3 fund types. No generic templates.
Every automation has been built, tested, and validated end-to-end against 24 months of real finance data — 6,600 transactions. These are production-ready tools, not prototypes.
Your team doesn't just learn to press a button — they learn to work with AI as a professional tool. That's a career skill that makes them more valuable, more engaged, and more likely to stay. Full training, full documentation, full independence.
Deep experience across charities, international development, housing, membership, and commercial sectors. SORP, restricted funds, and multi-entity reporting all covered. Designed by a Finance Director — not by a software vendor learning finance terminology.
AI doesn't replace your finance system — it connects to it. Whether you're on QuickBooks, Xero, Sage, Business Central, or something more specialist, there is a path to get Claude working with your data from day one.
Export your data in whatever format your system produces — spreadsheets, CSVs, PDFs, or Word documents. Claude processes it immediately: journals, variance analysis, management reports. No technical setup, no IT department, no waiting. Start this week.
Your finance system exports data automatically on a schedule — daily, weekly, or at month-end. Power Automate, Zapier, or your existing workflow tools handle the transfer. If your supporting documents already live in Microsoft 365 — a payroll file in OneDrive, a bank statement in Outlook, a budget model on SharePoint — or in Google Drive, the automation reaches them there. The manual export step disappears.
Claude connects directly to your finance system. Query live data, run analysis, and generate outputs in seconds — without moving a single file. The finance system is the source of truth; Claude is the intelligence layer above it.
QuickBooks and Xero now have Claude built in. That is genuinely good news. But off-the-shelf AI is configured for generic small businesses — it doesn't know the specific requirements of charity accounting.
AI Finance Office configures the connection and the logic — so outputs are correct for a charity, not just any organisation.
We built a fictitious £30m charity as a test case and ran a full proof-of-concept assessment — 185 staff, 37 cost centres, 3 fund types, restricted and designated funds, and a full year of realistic finance data.
The automated close reduced total monthly effort from 102 hours to 29.5 hours — freeing the equivalent of 3 months of full-time capacity annually. That freed capacity was redirected from data processing to the work that actually matters: better analytics for budget holders, timely narrative for the executive, and board-quality reporting delivered days earlier than before. The finance team moved from chasing numbers to explaining them.
Also validated in production. Management accounts automation has been tested with a live client using real transactional data. Client details confidential.
Phase 1 deploys in the first two weeks and saves 9 hours/month from day one.
Not a package. We talk through your team's biggest time pressures, look at your processes, and work out what automation could actually do for you.
We map your month-end close, understand your systems and data, and identify where your team's time is going. No assumptions — just a clear picture of where the friction is.
From a focused two-week assessment to a full automation programme — we agree the right shape together based on what your team actually needs, not a pre-set package.
Automations are validated through parallel runs before going live. Your team is trained to run them independently from day one, with support through the first live close cycles.
If you're curious about what this could look like for your organisation, I'd love to have a conversation.
Let's have a conversation →I don't send a junior. I don't sell software licences. When I work with your finance team, I sit beside them, configure the automations myself, and make sure everything runs before I leave. AI Finance Office exists because I spent 30 years watching finance teams drown in manual processes that technology solved years ago — they just never had someone who understood both the finance and the tooling well enough to bridge the gap.
My career has been built at scale. At GE Lighting, two-day month-end closing was standard — and I ran the projects that delivered it, across a 10-country SAP implementation with 40 Six Sigma projects and $4 million in verified savings. I led global finance for BBC Media Action — an INGO operating across 25 countries. At The Film and Television Charity, I served as Director of Finance & Operations, implemented Sage Intacct and Salesforce CRM, and won the Charity Times 2020 “Best Use of Technology” award. Every role involved building systems, strengthening governance, and making organisations run better.
What makes this different from a software consultancy is simple: I have sat in the chair you are sitting in. I have presented the management accounts to the Board, closed the month-end under pressure, explained the variance to the CEO, and stayed late to fix the reconciliation. I build automations that solve the problems I have lived with — then I train your team to own them without me.
Step-by-step video walkthroughs showing real finance automations. Free, no sign-up required.
Your financial data is never used to train AI models. We operate under Anthropic's commercial Data Processing Agreement, with UK GDPR-compliant international transfer safeguards.
We don't keep copies of your data after the engagement. Everything stays with your team.
UK GDPR compliant. Data Processing Agreement available on request. No third-party sharing.
Every engagement includes AI governance documentation as standard. Your board, audit committee, and regulators get the assurance they need — without a separate workstream. Read our full governance framework →
Organisational AI use policy tailored to your organisation.
Full documentation of every automated workflow and control.
Board and committee papers covering AI implementation and risk.
Send us your GL transaction export and your month-end close timetable. We'll produce a full automation assessment showing which processes can be automated, how much time your team could save, and what the implementation looks like.
Or email directly: info@aifinanceoffice.com