Thought leadership content engine
Daily LinkedIn, blog, and email content in the partner voice. Compounds inbound over 90 days.
[ 01 ] · AI for Professional services
For professional services (accounting, consulting, finance, B2B services), AI deployment targets the parts of the firm that scale linearly with headcount: lead generation, partner ops, and content marketing. Actionable AI builds those agents into your existing stack and trains the team so output goes up without the headcount going up.

[ 02 ] · Definition
Professional services firms operate on partner economics: the senior people sell, the team delivers. The constraint is always partner time. AI deployments take the marketing, partner meeting cadence, and lead qualification off the partners so they can stay in front of clients. We work with accounting firms, financial advisors, B2B consultancies, and professional service companies between roughly $2M and $50M in revenue.
[ 03 ] · Top AI use cases
Daily LinkedIn, blog, and email content in the partner voice. Compounds inbound over 90 days.
L10s, scorecards, rocks, and accountability chart handled by an agent fleet. Replaces the EOS Implementer.
Sales by Chat or phone agent qualifies inbound leads, books partner consults only when the fit is right.
Custom agent that surfaces firm IP, past deliverables, and templates so junior team members onboard fast.
[ 04 ] · Common bottlenecks
[ 05 ] · Deployments that fit
Best fit, by revenue
Best fit at $2M to $50M revenue. Below that, the partner team usually has bandwidth to run marketing themselves.
[ 06 ] · Questions
It is built for exactly that. The whole point is to take the non-billable coordination, marketing, and intake work off the partners so they can stay billable. Most partner-led firms see partner hours redirected toward client work within the first quarter.
[ 07 ] · More industries
[ 08 ] · Ship AI in professional services
Real intake, not a discovery call. We read every form personally and reply when we have something useful to say.