What is changing in deal work.

Copying messages into another inbox creates a second place to search. A useful deal timeline captures the event, its source, the proposed change and the person who confirmed it.

A polished AI summary can hide a wrong period, an outdated model or an unresolved question. How to design a deal brief around evidence, document versions and a review your team can actually finish.

Deal updates arrive in email, but the pipeline lives somewhere else. A practical way to capture activity, match it to the right mandate and give uncertain changes a human checkpoint.

The two get sold under one label, but they are different tools with different failure modes. Where deterministic automation quietly beats a language model, where a model earns its place, and how to tell which one a workflow is asking for.

Not with a tool, a pilot programme or a policy document. A practical sequence for a small M&A or corporate finance firm: find the hours, pick one workflow, ground the system in your own documents, and judge it on time returned.

What McGill Engine and 21st by CentraleSupélec believe about what we have built, and what they add beyond the name on our website.

AI is mostly sold to deal firms as demos and delivered as chat windows. When an outside team does the deal work, the useful version looks different: specific work, grounded in the firm's own documents, run under the firm's own controls and checked before it comes back. What an engagement should involve, and what to be sceptical of.

Plenty of firms now offer to do deal work with AI, and you cannot judge them on demos, because every demo works. The questions that separate a team able to do confidential deal work properly from one selling the same slides to everyone.

Financial firms adopting AI in the UK and Canada face two privacy regimes, and in Quebec a third. A plain-language tour of the questions UK GDPR, PIPEDA and Law 25 raise for AI in deal work, and the architectural answer that satisfies all of them at once.

Most tools built for advisory firms do not fail at launch. They fail quietly over the following year, and the causes are predictable. What to watch for, and how to commission software that survives.

Every vendor says your data is secure. The more useful question is structural: where does the data sit, and who is technically able to read it? A plain explanation of tenants, and the questions to ask any provider.

Bespoke software is the right answer less often than a vendor would like you to believe. A framework for deciding, workflow by workflow, whether to build, buy or change nothing at all.

A firm on Microsoft 365 usually has OneDrive and SharePoint already. Set up properly, they can support deal work rather than fight it.

General CRMs are built for sales pipelines, not deal pipelines. The distinction matters more than most M&A and corporate finance firms realise.

Many M&A and corporate finance firms run deals across email threads, shared drives and spreadsheets. For a small team, that patchwork is a liability.

Spreadsheets hide their costs in time, errors and missed signals. For M&A and corporate finance firms running several live mandates, those costs add up.

One benchmark puts the average NDA at five days to execute. Across a broad buyer list, that delay and admin build up before a single document is shared.