For SMB and mid-market operations teams

Using AI chat is the norm. Using AI as a productive co-worker is not.

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.

Give us 25 min and let’s find one process worth improving

On the calendar now. If there's no fit, we'll say so.

  • No New Software to Install
  • No Team Training
  • Built Around Your Process
  • Trackable ROI
  • Live in 30 Days
  • 24/7 Support
Cover of The One-Process AI Playbook by Converge, 2026 edition

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

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The gap isn't adoption. It's integration.

Almost every business has now touched AI. Very few have handed it a job with a start, a finish, and a number attached.

Small businesses using AI in some form76%
Say it is fully integrated into core operations14%
0%50%100%

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.

82%

Say AI is essential to stay competitive

Source: PayPal
73%

Want more training and implementation help

Source: Goldman Sachs
6%

Use AI for supervised process automation

Source: U.S. Chamber

What the guide covers

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 assessment
  • p.3

    Where the market actually is

    What the 2026 survey data says once you separate trying tools from running operations.

  • p.5

    Assist, repeat, operate

    The three levels of AI use, and how to tell which one your team is on today.

  • p.6

    A six-point test for your first process

    Frequent, manual, rule-based, measurable, low-risk, cross-system — and what to avoid starting with.

  • p.7

    Six processes hiding in every growing business

    The back-office patterns that repeat across industries, from shared inbox to reconciliation.

  • p.10

    How to measure the result

    Time, speed, quality, capacity and experience — with a baseline you set before anything goes live.

Three levels of use. One destination.

Most teams are stuck at the first level and assume the third requires new software. It doesn't.

Level 1

Assist

You ask; AI responds.

  • Draft an email
  • Summarize notes
  • Brainstorm ideas
Level 2

Repeat

AI helps with the same task.

  • Saved prompts
  • Reusable templates
  • Scheduled summaries
Level 3 — where we start

Operate

AI completes the process.

  • Reads the request
  • Works across systems
  • Logs work, flags exceptions

Operate is where AI becomes capacity: the work moves without someone prompting every step, while your team keep decisions and exceptions.

The work we usually take first

The industry changes. The pattern doesn't — repetitive, rules-based work moving between inboxes, documents, portals and business systems.

Shared inbox to action

Read incoming requests, pull the right context, create the next task, draft a reply, route exceptions.

Client onboarding

Collect documents, check completeness, update systems, send reminders, keep everyone informed.

Documents and data entry

Extract information, compare documents, rename and file records, update the system of record.

Proposals, quotes, renewals

Assemble prior work and current inputs into a consistent first draft for an employee to review.

Invoices, POs, reconciliation

Code and match transactions, reconcile statements, stage entries, surface discrepancies.

Status tracking and reporting

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.

What happens in the 25 minutes

One call with someone who has built these processes before. No deck, no discovery series, no proposal you didn't ask for.

0–5 min

How the work runs today

Your team, your systems, and where the day gets eaten.

5–15 min

Two or three candidates

We test them against frequency, rules, volume and risk.

15–22 min

The exceptions

What the normal path looks like, and what has to reach a human.

22–25 min

A straight answer

Fit or no fit, with the time saving we'd expect to measure.

If there's a fit, here's the rest

  1. 1Map the process. Trigger, steps, systems, rules, exceptions, and the outcome that matters.
  2. 2Build the AI Co-worker. Connected to your existing systems, built around how you already work.
  3. 3Your team tests it. Real scenarios, your team deciding how exceptions get handled.
  4. 4Live in 30 to 45 days, with a weekly email showing work completed, time saved, and value delivered.

Why teams pick Converge

  • No new software. Nothing to install, migrate to, or maintain.
  • No retraining. Your team works through Slack or email and keeps decision control.
  • Built for trust. Encrypted, isolated, and never trained on your data.
  • No long-term lock-in. Keep it while it delivers value. If it doesn't, you stop.

Book your free assessment

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.

  • Best fit: 10 to 500 employees with a back office that runs on email, documents and a handful of systems
  • Bring an owner, an ops lead, or whoever knows the process best
  • You leave with a written summary of the process and the expected time saving
  • Prefer email? Write to sales@tryconverge.ai

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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.