Professional team meeting in a modern office — professional services firms

AI for Professional Services

Onboarding, contracts, meetings, and proposals — the unbillable hours, automated.

Accountants, consultants, recruiters, and law firms share one structural problem: the highest-paid people in the business spend a third of their week on work that doesn't bill — onboarding, contract review, meeting admin, proposal drafting.

We give that time back. The use cases below are the five we see deploy fastest in UK professional-services SMEs, with the clearest ROI signal.

Professional Services

Top 5 most common use cases

Each ships in weeks, not quarters, with a clear ROI signal. Pick one, prove the value, then scale.

1

KYC & client onboarding document processing

Extract structured fields from passports, utility bills, articles of association, and ID & V documents. Cross-check against sanctions lists and write a clean record into your CRM or practice management system.

Onboarding cycle time drops from 3–5 days to under a day; partner sign-off has cleaner data to review.

OCR + vision LLMComplyAdvantage / Onfido APIHubSpot / Salesforce / IRIS
2

Contract & engagement-letter review assistant

Compare incoming NDAs, MSAs, and engagement letters against your firm's playbook. Output a redline with the position, risk grade, and a suggested counter-clause your fee-earner can accept or override.

First-pass review time drops 70–80%; firms standardise positions across fee-earners.

LLM clause classifierWord/Office add-inPlaybook RAG
3

Meetings → action items → CRM

Record (with consent), transcribe, and structure client calls into action items, decisions, and CRM updates. The fee-earner reviews and approves rather than typing notes.

Recovers 3–5 unbillable hours per fee-earner per week; CRM data quality measurably improves.

WhisperGPT-4oSalesforce / HubSpot / Pipedrive API
4

Lead research & enrichment

Take a lead list or inbound form, enrich each company with public-source firmographics, news triggers, and likely buying intent, and prioritise the list for the BD team.

BD pipelines run 4–8× the volume with the same researcher headcount; conversion improves on prioritised tiers.

LLM + web tool useApollo / ClearbitPipedrive / HubSpot
Read the case study
5

Proposal drafting from past engagements

Searches your library of past proposals, statements of work, and capability statements to draft a first version tailored to the new client brief. Fee-earner edits and signs off.

Proposal turnaround drops from days to hours; win-rate improves through faster, more tailored responses.

RAG over proposal libraryWord templateApproval workflow

Professional Services — frequently asked questions

We're regulated (FCA / SRA / ICAEW) — will the AI be compliant?+
We design for your regulator's expectations: data residency, audit logging, human-in-the-loop for any client-facing output, and full traceability of which document fed which AI decision. We've supported firms through ICO and FCA reviews of AI tooling.
Will partners actually use it, or will it sit unused?+
We design the human-in-the-loop step into the partner's existing tool — Word, Outlook, the CRM — rather than asking them to learn a new app. Adoption is typically 70–90% within a month because the alternative is more typing.
How is data protected?+
UK / EU hosting, no third-party LLM training on your data, SSO + role-based access, and full audit trail of every prompt and response. We can deploy fully behind your firewall where required.
Can it draft client advice?+
We deliberately don't deploy AI that produces final client advice. We deploy AI that drafts, extracts, and summarises so the fee-earner's expertise goes into the judgment call, not the typing.

Ready to map the highest-ROI AI use case for your professional services business?

Book a free 30-minute audit. We'll review your current workflows, propose the use case with the clearest ROI signal, and walk you through what a 4–6 week pilot would look like.

Book Your Free AI Efficiency Audit