Runwork for CTOs

Your engineers are great at AI. The rest of the company isn't.

Engineering figured AI out on their own. Ops, finance and marketing are still pasting things into a chat window and hoping. On Runwork the whole company works off one shared layer, your engineers' work reaches everyone, and you can see who is actually getting better.

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The Challenge

Engineering is AI-native. Ops, finance and marketing are still pasting prompts into a chat window.
What one engineer works out with their AI never reaches anyone else's
The useful automations run on individual laptops and stop when those laptops close
You pay for seats and tokens, and still can't tell who is getting better and who is stuck
Nobody can see what anyone's AI touched, which is starting to matter

The Runwork Solution

What your strongest people work out reaches every other team's AI the same day
Everyone keeps the AI tool they already chose, and the whole company works off one layer
Work your teams' agents make keeps running on schedule, not on somebody's machine
Adoption scored per person across setup, usage, building and knowledge, so you see who needs help
Every agent action permissioned and logged, so a security review is a page you read, not a guess

What your team gets

A shared skill library

The formats, rules and shortcuts your best people worked out, on everyone's AI without anyone explaining it twice.

Work that keeps running

Reports, checks and syncs on a schedule, whether or not the person who set them up is online.

Tools other teams made, in one place

What business teams' agents make gets deployed where everyone can find it, instead of a hosting account one person can log into.

One connection layer

Your CRM, HRIS, ERP and internal APIs connected once, out of 3,300+ available, and usable by every teammate's AI.

A record of what agents did

Every action logged and scoped by role, so the answer to "is this safe" takes minutes instead of a week of asking around.

An honest adoption picture

A 0 to 100 score per person across four dimensions, so "how AI-native are we" finally has a number that moves.

A Day in the Life

8:00 AM: Morning reports. The overnight digest is in your inbox before your first meeting: system health, deploy status, anything that broke. One of your SREs taught his agent to write it months ago, and the schedule has run it every morning since, including the three weeks he was out.

10:00 AM: A request that never reaches you. Customer success wants a view of renewal conversations. Six months ago that went into the backlog at priority low. Today their own agent puts it together, and it lands in the team cloud where the rest of support can open it. Your engineers never hear about it.

1:00 PM: Security review. The ops team's onboarding process now moves real employee data. Is that safe? You open the audit log and read what ran, who ran it, and what it touched. Roles and compliance controls apply to it like everything else, because it lives in the same place as everything else. The review takes four minutes.

3:00 PM: Commission numbers. Sales wants CRM data pulled every Monday and run through their comp rules. Nobody files a ticket. Their agent works through the Salesforce connection your team set up once, reads, calculates, writes the result back. Connected one time, usable by everyone after that.

5:00 PM: The number you never had. You open the team dashboard. Marketing's adoption score went from 31 to 58 this quarter. Finance is stuck at setup, and two people there never installed anything, and you can see exactly which two. You've been asked "how AI-native are we" in every board meeting for a year. This is the first time the answer isn't a feeling.

Frequently Asked Questions

How does the rest of the company catch up to engineering?

They don't change tools and they don't take a course. Everyone keeps the AI they already use. What your engineers and your best operators work out lands in the team cloud as skills, and every other person's AI picks it up on the next sync. The gap closes because your strongest people's work travels, not because finance got better at writing prompts.

What security and governance controls does Runwork provide?

Role-based access control, append-only audit logs, and data encryption, with SSO coming soon. Anything a teammate's agent makes or runs here inherits those controls, so you can see what ran, who ran it, and what data it touched. That is a review surface you never had while this work lived on laptops.

Can Runwork integrate with our existing systems?

Yes. 3,300+ tools connect, including your CRM, HRIS, ERP, and your own internal APIs. You connect a system once and every teammate's AI can work through it, with permissions deciding who gets what. Nobody is re-authenticating the same account on twelve laptops.

How do we stay in control of what teams do with AI?

Workspaces draw the boundaries, roles decide who can do what, and audit logs record the rest. You get governance without being the bottleneck. Worth saying out loud though: governance is the seatbelt, not the engine. Once everything is locked down, your team is exactly as good at AI as it was before, which is why the adoption side matters as much as the controls.

Can I actually see who is getting better at this?

Yes, and this is the part most teams have no answer for. Every member gets a score from 0 to 100 across four dimensions: Setup, Usage, Building and Knowledge. You see who is contributing skills the rest of the company reuses, who is stuck at install, and which capabilities have gone stale since anyone last used them. Then you know who should be teaching, instead of guessing from a seat report.

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