AI, applied where it pays off
Four engagements, one principle: AI belongs where it improves the work. Every engagement starts from your workflows and ends with a number.
We audit your data, tools, and teams against the workflows that drive your revenue. You get a candid readiness score and a phased roadmap that starts where the payoff is highest, not where the hype is loudest.
The market is crowded and every vendor claims the same three things. We test candidate tools against your real projects and your real documents, then give you a recommendation you can defend to your partners.
Tools do not change firms, habits do. We train your teams by role, with your projects as the course material, and leave behind playbooks and review workflows that keep quality and licensure safe.
Submittals, RFIs, documentation, and QA/QC hide most of the recoverable hours in a firm. We design and build automations for the unglamorous work, in production, with your team trained to own them.
Assess, pilot, scale
Assess
A clear-eyed readiness audit of your data, tools, and teams. You learn where AI pays off first, and where it does not.
Pilot
One workflow, one team, twelve weeks, and a number at the end. Proof before commitment.
Scale
Playbooks, training, and office hours that spread what works across the firm.