Paste a list, get a pipeline
Paste business names and numbers. Each one becomes a card with the research done, a written audit, and a call script built from that business’s real data — about 90 seconds per card.
Our Portfolio
What we’ve actually done.
Flow Labs is a new studio run by people who've built software for years. So instead of a borrowed logo wall, here's something more useful: an honest look inside a build, piece by piece.
01/ Case study — shipped July 2026
One click. The system does the rest.
A calling system we built for Media Supreme, our sister marketing agency — running its sales pipeline in production today. A rep clicks Call on a card. The research, the script, the dial, the recording, the transcript, and the CRM logging are already handled. One click and one conversation — that’s the whole job per call.
Human input, per call
1 click
plus the conversation itself
Prep per contact
~90 sec
research, audit & script — written by AI
Call ends → CRM updated
~2 min
transcript, analysis & follow-up draft
The live board, shown with sample data — real prospect records stay private.
The call runs itself
One click rings your phone first, then dials the contact showing your business number. The call records, transcribes, and files itself to the CRM — the audio is deleted after transcription, by design.
The numbers keep themselves
Every dial updates a live funnel — picked up, decision-maker reached, yes, closed. Nobody tallies a spreadsheet at the end of the week.
Built on Claude and Twilio, wired into a CRM we also built. Stack transfers to any calling workflow — sales, follow-ups, recruiting.
02/ Anatomy of a build
The Forecast Engine:
idea to up-and-running in six weeks.
A sample build in the shape we do most often — a system that predicts demand, wired into daily operations. The dashboard below is what a client team would actually run.
Production
Forecast Engine
Accuracy
94.2%
▲ 2.1% vs. baseline
Latency
120ms
▼ 18ms after tuning
Throughput
5.2×
vs. manual process
Inference volume
last 14 days
Reference build — the standard Flow Labs system anatomy. Client work stays under NDA by default; the pattern is what we can show.
03/ In the box
Every build comes with the full kit.
The AI is maybe a fifth of the system. This is the rest — the part that makes it a real tool instead of a demo.
Proof it works
We test every change against real examples from your business. Quality is a number you can see — not a feeling.
A live scoreboard
One dashboard shows quality, speed, cost, and use. If something slips, your team knows before your customers do.
Safety rules
Limits on what it can see and do, double-checks on what it sends, and a log of every action — sized to the stakes.
Built into your tools
It lives inside the CRM, help desk, or system where the work already happens. No new tab to remember.
Plain instructions
Written for whoever runs it next — how it works, what can go wrong, and what to do about it. Answered in advance.
Your team, trained
We teach and work alongside your people until they run it without us. Independence is part of the deal.
04/ Patterns we build
The shapes most builds take.
Pattern / 01
The company helper
An assistant that knows your documents and systems, living in your team's daily tool. About 5 weeks to live. Usually the fastest payback: generative AI development.
Pattern / 02
The worker agent
An agent that runs one office process start to finish, with human sign-off on the big steps. About 6 weeks to live, more freedom as it proves out.
Pattern / 03
The smarter stack
AI added across your CRM, help desk, and reports — drafts, summaries, and answers where the work happens. Goes live one tool at a time.
Pattern / 04
The house model
A custom model built on data only you have — forecasts, scores, paperwork reading. It beats your current method in a fair test, or it doesn't go live.
Your build could be the next one on this page.
Bring the workflow. We'll scope the system, the metrics, and the six-week path in one call.
No theater. No black boxes. Scoped in one call.