For SMB and mid-market operations teams
Your team already asks AI for answers. Converge puts an AI Co-worker into one process that actually runs — inside the systems you already use, with your team still in control.
On the calendar now. If there's no fit, we'll say so.

Free download · 2026 edition
The One-Process AI Playbook
How to choose one useful process, keep your team in control, and prove the result.
16-page PDF · 15-minute read
Almost every business has now touched AI. Very few have handed it a job with a start, a finish, and a number attached.
Between those two numbers sits the work. Not more tools, and not a team of AI specialists — just one repetitive process, documented properly and handed to something that can run it every day.
That is the whole scope of a first project with Converge.
Written for owners and operations leads, not engineers. Read it in fifteen minutes and you'll know which process to start with.
Book your free assessmentWhat the 2026 survey data says once you separate trying tools from running operations.
The three levels of AI use, and how to tell which one your team is on today.
Frequent, manual, rule-based, measurable, low-risk, cross-system — and what to avoid starting with.
The back-office patterns that repeat across industries, from shared inbox to reconciliation.
Time, speed, quality, capacity and experience — with a baseline you set before anything goes live.
Most teams are stuck at the first level and assume the third requires new software. It doesn't.
You ask; AI responds.
AI helps with the same task.
AI completes the process.
Operate is where AI becomes capacity: the work moves without someone prompting every step, while your team keep decisions and exceptions.
The industry changes. The pattern doesn't — repetitive, rules-based work moving between inboxes, documents, portals and business systems.
Read incoming requests, pull the right context, create the next task, draft a reply, route exceptions.
Collect documents, check completeness, update systems, send reminders, keep everyone informed.
Extract information, compare documents, rename and file records, update the system of record.
Assemble prior work and current inputs into a consistent first draft for an employee to review.
Code and match transactions, reconcile statements, stage entries, surface discrepancies.
Gather updates across systems, chase missing inputs, prepare reports, flag changes and delays.
If your version of one of these takes a team member an hour a day, that's roughly 250 hours a year sitting in a process nobody enjoys.
One call with someone who has built these processes before. No deck, no discovery series, no proposal you didn't ask for.
Your team, your systems, and where the day gets eaten.
We test them against frequency, rules, volume and risk.
What the normal path looks like, and what has to reach a human.
Fit or no fit, with the time saving we'd expect to measure.
Pick a time below. Bring one process that annoys you. We'll tell you whether an AI Co-worker can carry it — and if it can't, we'll say that too.
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Where the numbers come from
Goldman Sachs 10,000 Small Businesses Voices, March 2026 (76% use AI; 14% fully integrated; 73% want more implementation help). Reimagine Main Street / PayPal, June 2025 (82% say AI is essential). U.S. Chamber Foundation / Ipsos Main Street AI Monitor, June 2026 (6% use minimally supervised process automation). Estimates differ because surveys define "AI use" differently.