runpoint.home
Command Palette
Type to search. Press Enter for the top match.
What we believe

AI transformation comes from doing it,
not strategizing about it.

Most companies can't get there directly. Too risky. Too abstract. Leadership won't fund a transformation they can't see.

So we start with something obvious. A well-scoped first project the CFO can sign off on. Sometimes that means ripping out paid software and the recurring bill that comes with it. Sometimes it means building the one tool the team has been begging for. The first win pays for itself, and it puts something real in front of the people who were skeptical.

You can't start with the transformation. You start with one well-built thing, you build muscle, behaviors change, and the value compounds. The companies that win at this don't fire a single shotgun blast. They stack small bets that work.

How it works

01

Wedge.

One paid contract on the chopping block, or the one tool the team has been begging for. The first build is small enough to ship in weeks and concrete enough for the CFO to sign off on.

02

Proof.

The wedge lands. Hours come back. A bill goes away. People who were skeptical see something working — and the team starts asking what else could move.

03

Momentum.

The first build pays for the second. Each one cheaper than the last because the foundation under them is already paid for.

04

Transform.

SaaS bills become systems you own. Manual workflows run on their own. The company that comes out the other side isn't the one that walked in.

The pattern

Five companies.
Same shape.

Every engagement starts with a first bet the CFO can underwrite. Sometimes that means ripping out paid software. Sometimes it means building the tool the team has been begging for. Either way, the win lands fast — and it earns the right to do the work behind it.

These are real quotes from real clients. We anonymize on the site until each one says yes to being named. Most are in the queue. References available now.

Tech due diligence advisory

A global tech due-diligence advisor

01
Wedge

A net-new internal tool for project staffing.

Their staffing used to live in a Slack channel — "looking for this purple unicorn." We scraped LinkedIn and resumes, built a richer matching engine, and folded it into the day.

02
Proof

Staffing search: hours to seconds. Win rates up.

Shipped fast, landed well, and earned the bona fides to take on a workflow-automation tool that produces real client deliverables — lowering cost-to-serve and contributing brownfield code straight into their codebases.

03
Now

Transforming their software development lifecycle and product team.

Devs and QA shipping with Claude Code and automated testing. PR creation reduced from days to minutes at high accuracy.

Project staffing engineWorkforce classifierBug-to-PR pipelineLive archive lookup in PE callsBrownfield code contributionsMain platform rebuild
they said 
I don't think I've ever heard the term operator engineer, but I think it fits really well for what you guys do… I've found with you guys, I can just let you go to these meetings by yourselves. I don't even need to be there.
Client lead · Tech due diligence advisory
Read the full story →
Creator-economy ad sales

An ad-sales firm for podcasters and YouTubers

01
Wedge

A unified data hub, surfaced inside an RFP response.

Hundreds of Airtables and Sheets collapsed into one place, fed directly into the inbound RFP workflow the salespeople run every day.

02
Proof

Creator vetting that used to take dozens of individual emails — now done in one pass.

Hours saved per RFP. The salespeople felt the win the first day; the data plumbing got built underneath without anyone having to ask for it.

03
Now

The full operating system for how they run the business.

Six modules running their day-to-day, with a Slack agent that runs RFPs end-to-end — not workflow automation anymore.

Creator vettingRFP intake + sendYearly planningFinance dashboardsBrand-facing roster gallerySlack RFP agent
they said 
We'd been trying to find a solution for that for years — this is perfect.
Client executive · Creator-economy ad sales
Read the full story →
Veterinary care

A national operator of veterinary practices

01
Wedge

One data platform across twenty-plus clinic systems.

Twenty-plus vendors that didn't talk to each other, funneled into a clean, governed layer the next tool could trust.

02
Proof

A single screen replaced the front-desk shuffle between five tabs.

The first tool that paid the foundation back. Report turnaround that used to take days, down to minutes.

03
Now

Tools stacking on the same data layer, each one cheaper than the last.

Each new build sits on data the team already trusts, takes weeks instead of quarters, and works on day one.

Unified data platformFront-desk workbenchCross-clinic schedulingDoctor consult captureBilling reconciliation
they said 
I can't even believe that we have something that will actually do the things that we've been wanting and dreaming about doing for a long time.
Client executive · Veterinary care
Read the full story →
Mechanical and field service

A regional HVAC contractor

01
Wedge

Replaced ServiceNow with software built for them.

Dispatch, work orders, and billing all in one tool, on top of a well-respected open-source CRM as the foundation. Fixed-fee project, clear-cut math.

02
Proof

$200K saved in the first 12 months. Hundreds of thousands more over five.

Dispatchers and field techs got their day back. The platform that was slowing the business down is now an asset on the balance sheet.

03
Now

One multi-tenant platform, expanding region by region.

The custom mobile app and the AI workflows are already live in the day-to-day. Agentic dispatch and AR automation are queued behind them. Because the platform is theirs, every next thing is theirs too.

Custom dispatch boardWork-order systemBuilt-in billingCustom mobile app for techsCustom AI workflowsMulti-tenant rollout across regionsAgentic AR + receivables (queued)
they said 
This is the closest I've come to the conversation I was anticipating having… nobody else is leveraging AI like this.
Client stakeholder · Mechanical and field service
Read the full story →
In flight
Compliance training

An FAA-regulated training provider

01
Wedge

A 20,000-module migration from one LMS to another.

Boring on paper. Critical in practice. Either it ships, or the rest of the work doesn't get to happen.

02
Proof

Ten modules a week became forty. Hundreds of thousands saved.

A two-month task became a two-hour task. Same team, same deadline, four-times the throughput.

03
Now

Building proprietary software on top of the new LMS.

The interesting work starts the day the migration finishes. AI-generated FAA-compliant training is the next bet queued behind it.

Modern content platformLMS rebuildAI-generated FAA trainingCompliance-grade content tools
they said 
You took a two-month task and turned it into a two-hour task.
Client executive · Compliance training
Story coming once the work ships
We ran the play on ourselves

We rewired our own operating system, then changed the shape of our business in a day.

Until early this year, our growth was tied to W-2 headcount. We'd hire one person at a time, get them up to speed, put them on projects. Slow.

Then we built a system that scored job applicants and held a vetted bench of contractors ready to put on a project. The moment we had that, our hiring model stopped making sense. Instead of being capped by W-2 headcount that took months to expand, we could put many more people on our delivery teams, working as partners and matched to the work. We changed the company in a day. None of it would have been possible without the year of rewiring how the company runs underneath.

SYSTEMS: NOMINAL
LATENCY: 12msRUNPOINT V2.0