Real AI projects, not buzzwords
How ABCOM is using AI today, for clients and in our own work, to save hours, keep data private and turn conversations into clear plans.
Explore the AI Readiness SprintTalk to us about AIAI we have delivered
Four real examples: one client project, two ways we use AI in our own business, and one community STEM project.
Faster data access and private AI for a London accountancy practice
The challenge: the multi-site practice held its data in a hosted environment. Staff experienced slow sessions, lag and frequent disconnections, and the firm needed secure, auditable access for external consultants. They came to us after hearing about our work with another accountancy practice in Sussex.
What we delivered: a dedicated high-spec server, running a virtual machine with an offline large language model for report crunching, so substantial reporting material is analysed inside the firm's own environment and never sent to a public AI service. We also improved cross-site and consultant access, hardened the firewall and added endpoint detection and response (EDR) and identity threat detection and response (ITDR).
Early results: systems are faster, the frequent disconnections have stopped, and the firm has a private platform for developing its reporting workflows.
From a 60-minute meeting to a shareable plan in minutes
The situation: a 60-minute discovery conversation with the partners of a local dental surgery. With their consent, we recorded the whole meeting using an AI voice recorder.
What AI produced: back at the office we generated clear action points and follow-ups, a mind map to show the discussion visually, and a RAG knowledge base of the conversation. That is a searchable, question-and-answer version of the meeting, shared with the client so they can check exactly what was agreed.
The result: preparation that would normally take around two hours took 5–15 minutes, and both sides had the same accurate record.
From a backlog of website fixes to done in days
The situation: like many small businesses, we had a long list of website improvements that never reached the top of the to-do list.
How AI helped: we used AI under close supervision, with clear goals set by Yann and every decision made by a person.
The result: more than 80 improvements went live in about two days, work that would normally take weeks around running the business. Every change was reviewed, approved and backed up before it went live.
AI-assisted sound design for a school plant-music project
The situation: as a STEM Ambassador for Mid Sussex Science Week, we helped Bolney Primary School turn signals from living plants into music. A Scion sensor turned tiny electrical changes in a fern, cactus and rubber plant into MIDI, which drove instruments in Ableton Live, while pupils added birds, water, weather and drums from a Novation Launchpad.
How AI helped: we used AI to help capture and create the sounds loaded into Ableton, the birds, water, weather and ambient textures, so we could build a rich, classroom-friendly sound palette quickly.
The result: pupils played a live "plant orchestra", and ABCOM and the BHBPA plan to donate a Scion to the school so they can keep experimenting. Read the full story.
How we use AI safely
The same principles we apply for clients in our AI Readiness Sprint.
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