Industry

AI for Professional Services

Document automation, research assistants and client-facing AI for firms that sell expertise by the hour and lose too many of those hours to documents.

  • Document processing: extract, cross-check, route and file
  • Assistants grounded in your own precedents and playbooks
  • Client intake and triage, automated
  • Every output traces back to its source, with an audit trail throughout

Legal, accounting, consulting and agency firms sell expertise by the hour, then spend a surprising share of those hours handling documents: reading, extracting, re-keying, cross-checking and filing. The gap between what clients pay for and where the time goes is where AI earns its keep.

The workflows we automate

Document intake and processing. Contracts, filings, invoices and KYC packets. Extraction and understanding pull out the fields that matter, check them against your systems, and route each document with a full audit trail. People review the ten percent that gets flagged, not the routine ninety. When the workflow spans several systems, an agent runs it end to end.

Search over your own precedents. Every mature firm sits on years of past work that nobody can find. A grounded assistant over your documents, playbooks and precedents gives your team cited answers from your own institutional memory. “Have we done this before?” answered in seconds.

Client intake and triage. The new enquiry read, classified, conflict-checked against your records and routed to the right partner with a summary attached, before anyone has finished their coffee.

Analysis and scenario tools. For firms whose product is advice, we build decision-support tools. It is the same discipline behind our own Policy Simulator, applied to your domain: model the options, surface the trade-offs, show the evidence.

Why audit trails are not optional

Your regulator, your insurer and your clients ask the same question: how do you know? Every system we build for professional services answers it by design. Outputs trace back to source passages. Low-confidence items go to a person. Every automated action is logged. AI that cannot show its work has no place in a firm whose signature carries liability.

Where to start

Not with a platform. Pick the single document workflow that eats the most hours, run a short pilot on your real documents, and measure the results: accuracy, hours recovered, error rate against the human baseline. The cost guide covers what pilots and production builds usually run. The arithmetic against billable hours tends to be short.

Tell us which workflow hurts most. Get in touch and we will say plainly whether it can be automated, and what a pilot would take.

Things we've actually built

Policy Simulator

Our own decision-intelligence engine, in research and development. Agent-based modelling that tests a rule, price or policy change before it ships. The same simulation-and-evidence discipline shapes the analysis tools we build for client firms.

Document pipelines and agents

Extraction, cross-checking and routing are core to our custom AI work. They are the patterns behind our agent development service, applied to contracts, filings and case files.

Frequently asked questions

Our documents are confidential. How is that handled?

Everything deploys in your environment: your cloud, your access controls, your audit logs. Where the requirements demand it, we use private model endpoints or self-hosted models, so no document leaves your infrastructure.

How accurate is document extraction, really?

On well-structured documents, very high. On messy scans it varies, which is why we measure on your real documents in a short pilot before anyone commits. Low-confidence items go to a person for review instead of being guessed.

Will AI replace our junior staff?

In our experience it replaces the worst hours of their week, the retyping, cross-checking and hunting through precedents, not the judgement they are learning. Firms put the recovered hours into client work, which is the billable kind.

What's the right first project?

Pick the document workflow your team complains about most: intake, review and extraction, or reconciliation. High volume, clear rules and a measurable time cost are where a pilot proves its value in weeks.

What does this cost?

Document automation pilots usually start in the $10k to $35k prototype range, with production systems following the ranges in our public cost guide. These workflows consume so many hours that the payback arithmetic is usually short.

Let's talk about your project

An honest take and a realistic plan, usually within one business day.