Results
What AI adoption looks like when it works.
We help you measure success by business impact, demonstrating the return on investment in your AI strategy.
Case studies
From the field
67% research time reduction at a leading international law firm
A leading international law firm's market intelligence team provides research on clients, prospects, and markets for the partners doing business development — work that is central to how the firm wins business, and almost entirely manual.
We identified the team's core workflows, aligned them with the firm's business goals, and embedded AI into the research process.
80% research efficiency gain at a leading global consultancy
A leading consultancy's market intelligence team was under significant pressure. Partners needed fast, accurate intelligence on clients and their markets — and the team was spending most of their time gathering information rather than analysing it.
We identified the highest-value workstreams for AI assistance, ran a structured adoption programme, and embedded the change into the team's standard operating procedure.
75% time saving at a major European bank
A major European bank's compliance team performed KYC (Know Your Customer) checks — a critical, regulated process requiring thorough screening for financial crime risk and reputational exposure. The manual process was time-consuming and dependent on human bandwidth.
We identified where AI could support the process, designed the adoption programme, and managed the change alongside the bank's internal teams.
Patterns from the field
What 30+ engagements have taught us
Across 30+ organisations — law firms, consultancies, banks, and other research-intensive businesses:
- The workstreams with the highest AI ROI are rarely the obvious ones
- Buy-in from the people doing the work matters more than buy-in from leadership
- Pilots that are not tied to a business metric rarely survive
- The organisations that succeed treat AI adoption as a change programme, not an IT project