AI consulting for professional services firms.

Professional services firms sell judgement, and they are trusted with information their clients would share with nobody else. Both facts shape how AI should be adopted. The opportunity sits in the preparing, checking, re-keying and reporting that surrounds the judgement, which is work AI can take on. The constraint is just as real: a firm that answers to clients, auditors and a chartered or professional body cannot let its people paste client material into whichever tool they found last week.

Our work follows that order. We typically start with an AI Strategy Review to find the best return, set priorities and reduce risk, through stakeholder interviews, organisational analysis and a governance check. Next we put governance and safeguards in place: clear policies, controls and training, so your team can use AI safely and consistently. Then we design and build production-grade AI that works in real environments. Nothing is built without justification and nothing is deployed without safeguards.

AssumeAI sits between the strategy firms that cannot build and the AI development firms that cannot advise. The same team that writes your plan can deliver it, and the plan is written by people who know what is buildable, because our work is grounded in production-level engineering.

Governance is the part of AI adoption that is most specific to professional services, and it is where we start whenever a firm handles client or regulated data. No two firms operate under quite the same obligations, so the templates online rarely fit.

AI governance implementation produces internal AI policies for your teams, external AI policies for clients and partners, impact assessments for what you deploy, and audit trails including a risk register and an incident log. It is aligned with EU GDPR, any SOC credentials you need to hold and the requirements of your chartered or professional bodies. It typically takes two to four weeks and starts from £3,000.

Our governance work for Hillbreak shows what that looks like in a regulated profession. The RICS professional standard on the responsible use of AI in surveying practice took effect on 9 March 2026 and introduced specific, documented obligations. Hillbreak's existing policy was principles-based and a solid foundation. We assessed it against the standard, identified twelve new provisions and prepared a nine-document pack, taking the updated policy from four rules to thirteen. A later impact assessment workshop completed a worked example of all nine sections of the template together, with every risk rated before and after mitigation, so the team can carry out assessments themselves.

On the data itself, we do not build on top of your business, we build inside it. Everything lives in your existing infrastructure and you own all of it.

The aim of every engagement is a firm that no longer needs us for the work we did, and that shapes how we deliver. The 90-day sprint ends with two weeks spent embedding the capability in your team. Enterprise deployments come with documentation of every agent and skill, so your team can maintain and extend them. Governance work is designed for the team to run, which is why the Hillbreak workshop ended with a worked example they can repeat. And because you own the code, you are never locked in.

For firms that want capability to grow inside the business rather than arrive in a report, the managed service puts one of our engineers side by side with your people, transferring capability as the work happens. Benj Johns, CFO of Sladen Consulting, described working with us as “a partnership process, rather than a supplier and client process”.