Built for Pro Services teams.
Professional services firms, law, accounting, consulting, and agencies, run on time, expertise, and trust. We build the AI automation, custom software, and modern web systems that let those firms recover billable hours from administrative work, sharpen client communications, and stop losing margin to manual document handling.
Common friction points we solve.
Every pro services engagement we run starts by mapping these against your specific workflows. The patterns are common; the right first project is yours alone.
Hours lost to admin work
Intake forms, conflict checks, document drafting, time entry, and follow-ups compete directly with billable and client-facing work. Each is worth mapping for automation, but only after the firm measures where time is actually going.
Client communication gaps
When clients cannot see status or next steps, partners absorb the follow-up work. Portals, milestone notifications, and human-reviewed summaries can close that gap without creating another manual reporting loop.
Document-heavy workflows
Contracts, statements, returns, and audit evidence often move through email and shared drives. Document-processing automation can reduce that handling, with exceptions and sensitive decisions kept visible to staff.
Lead intake leaks
Slow first-touch response makes qualified inquiries easier to miss or mishandle. Automated qualification and routing can put the right inquiry in front of the right owner quickly, with an audit trail for what happened next.
Where the work usually starts.
These are the services pro services teams reach for first. Every service we ship is available, these are simply the ones with the highest fit and clearest ROI for the vertical.
Patterns we have already shipped.
Each of these is a real engagement that demonstrates a workflow, architecture, or design pattern that maps directly to Pro Services operations. Click through to see the full case study.
Business Automation Dashboard
Operations dashboard that consolidated multiple manual workflows into one observable surface, the same pattern firm operations teams need to replace spreadsheet-and-email tracking.
See case studyWeb App · Business Solution1 Shot Referral
Referral platform that captures and routes leads with a custom workflow engine, the kind of intake automation legal and consulting firms benefit from directly.
See case studyWeb Design · SEOK2 Appliance Installation
A service-business marketing site that ships fast, is locally findable, and converts inquiries into booked work, the SEO and conversion playbook applies cleanly to professional services firms too.
See case studyThings pro services teams always ask.
Short, honest answers. If your question is not here, send it over, we will write you back inside 24 hours.
How does AI automation typically pay for itself in a professional services firm?
The clearest ROI case starts with measured time: document the hours and labor cost consumed by intake, conflict checks, document assembly, and status updates, then compare that baseline with the build and operating cost. We model payback from the firm's own volume and billing data instead of promising a generic timeline.
Will AI tools replace our junior staff?
No, and we steer clients away from framing it that way. AI is best at deterministic, repetitive work that juniors don't enjoy and that crowds out the higher-judgment work they need to develop. Done right, automation lets juniors do more of the work that grows their careers.
What about confidentiality and client data?
Every engagement starts with a data-handling decision: on-premises models, private cloud deployments, or vendor APIs with appropriate contractual controls. We document the proposed path, access boundaries, retention, and residual risks for review by the firm's legal, insurance, and security owners.
Do you work with smaller firms or only large practices?
Both. A small firm may start with one high-friction workflow, while a larger practice may need phased case-management or document infrastructure. The engagement is sized around the operating problem, access, and accountable owners rather than company headcount alone.
How long does a first AI automation project usually take?
Four to eight weeks for a focused first project, end-to-end: discovery, design, build, integration with your existing tools (DocuSign, Clio, Karbon, etc.), training, and live deployment. Larger custom-software builds run 3-6 months.
Other industries we work with.
If your work spans more than one vertical, the playbook adapts. Hop between these pages to see how the same studio scales across different operating contexts.
Ready to ship for Pro Services?
Tell us what you are building. We will reply within 24 hours with next steps, discovery call, written scope, or referral to a better fit.