Legal, tax, HR and advisory knowledge across countries and versions. AI agents can apply it, determining which rule holds for a case, preparing the file, routing the exception, once the content has structure and an owner.
Book a Data & AI Readiness Assessmentof expert-level knowledge never makes it into a system anyone else in the firm can use.
Professional services firms — legal, accounting, audit, advisory, engineering, agencies — sit on decades of structured judgment trapped in case files, proposals, working papers, and unstructured email. The CRM is a contacts list. The intranet is a graveyard.
Now the leadership team is reading about generative AI every weekend, and the question on every executive agenda is the same: how do we use this without giving away the firm's edge — or being undercut by a competitor who moves first?
A curated set of use cases — chosen for the impact they have across professional services firms. From employee productivity and automation to institutional knowledge and client intelligence, each one earns its place on margin, leverage, or growth.
Grounded assistants built on the firm's knowledge and house style. Hours saved per employee, every week — across drafting, research, and review.
Routine intake, onboarding, document handling, and billing automated. The repetitive 30% of work — gone, audit-trailed, with people focused on the rest.
Methods, precedents, and expertise captured, attributed, and searchable across the firm. Knowledge compounds instead of evaporating with people.
Skills, governance, and behaviour change so the tools actually get used. The hardest part of any AI rollout — and the one that decides ROI.
Automated first-pass review of deliverables, working papers, and contracts. Raises the floor on consistency; expert review focuses on what only an expert can decide.
Cross-engagement signal joined across the firm — accounts, touch points, deliverables. Better targeting, retention, and growth informed by real data.
Client, engagement, methodology, and expertise mean the same thing whether you're in the CRM, the time system, the document store, or the proposal library. The unlock isn't another integration project — it's a shared semantics layer that lets AI work across the firm instead of inside each practice.
Three phases, one architecture. Each phase produces something the next stands on, and each ends with a decision the organisation can take without us.
The gaps between the assistants in place and the work that could be handed over.
Foundational architecture, decision register, platform requirement and selection where needed.
Governance, components and builder teams until each element has an owner inside.
The assessment is calibrated to partnership governance — decisions get made by consensus, AI investments need a story partners can take to their teams. We design the roadmap with that in mind, not against it.
Confidentiality and IP guardrails are part of the assessment — not an afterthought. The framework explicitly covers what data leaves the firm, what model providers are acceptable, and where the policy lives.
Used badly, yes. Used well, it widens the gap between firms with real expertise and those without. The strategy work explicitly identifies where AI augments partner judgment versus where it threatens to undercut it.
The assessment delivers a usable roadmap in 4–6 weeks. The first pilot typically goes live within two quarters. Measurable business impact tracks the pilot's success metrics.
30 minutes. Tailored to professional services. No pitch deck, no obligation.