AI for Professional Services
AI that turns your firm's expertise into capacity.
Serve more clients without adding headcount.
We help consulting, accounting, and advisory firms build their expertise into AI tools, so teams spend less time searching, drafting, and reformatting and more time advising clients.
Trusted by client-service firms
Why professional services is different
Your firm sells expertise. AI should multiply it.
Margins depend on utilization and on how fast junior staff can do senior-quality work. Most of that knowledge is locked in past deliverables, inboxes, and the heads of a few partners.
Where value is created
In research, drafting, and knowledge reuse: the non-billable hours behind every engagement.
How it gets measured
Utilization, realization, turnaround time, and clients served per professional.
What earns trust
Answers grounded in your firm's own work, client confidentiality, and partner review on anything client-facing.
From strategy to production
AI built for client-service firms.
Start with one practice or a firm-wide program.
AI Strategy & Adoption
Find where AI lifts margins, and get your people using it.
- Practice-by-practice AI assessment
- Use cases ranked by margin impact
- AI use and client confidentiality policies
- Claude rollout and team training
- Change management for partners and staff
- AI service-line strategy
Production AI Engineering
Custom tools built on your methods, templates, and past work.
- Research assistants grounded in your sources
- Proposal and deliverable drafting
- Knowledge search across past engagements
- Client intake and prequalification agents
- Data extraction from client documents
- CRM and document system integrations
Measurable outcomes, not theories
Results that show up in utilization.
Case study · Advisory
99%
Reduction in research time with an AI platform for a healthcare advisory firm
PressW helped Coustier Advisory turn its Medicare reimbursement expertise into RuleIQ™, a Claude-based research platform that cites official CMS sources. The firm now serves 33% more clients.
Read the case studyMore client outcomes
80%+
Estimated reduction in time spent searching for training content at a real estate brokerage
30%
Estimated drop in time spent on unqualified prospects for a tax incentive advisory firm
5+
Estimated hours saved per person each week with AI meeting summaries
200+
Custom workflows delivered
90+
Custom AI software deployments
$100M
Of client value created
Where firm AI stalls
Most firm AI efforts stall in the same four places.
The fix: build on your firm's own knowledge and tie adoption to the metrics partners care about.
Knowledge in silos
Past work sits in shared drives and inboxes that no one can search.
Partner skepticism
Partners won't put AI output in front of clients until they trust its quality.
No time to adopt
Billable pressure leaves no room for teams to learn new tools.
Client confidentiality
Engagement letters and client data rules block generic AI tools.
How it works
From first use case to firm-wide AI in three steps.
Prove value in one practice, then scale across the firm.
- 01
Assess
Review how each practice researches, drafts, and delivers, and pick the use case with the clearest return.
Explore AI Transformation - 02
Build
Ship a tool grounded in your firm's own knowledge, with partner review built in.
Explore AI Engineering - 03
Scale and manage
Roll out across practices, train your people, and track adoption and margin impact.
Explore Managed AI
FAQ
Questions firm leaders ask us.
Don't see your question? Bring it to an intro call.
Turn your firm's expertise into more capacity.
From strategy to production AI: one partner for client-service firms.