Talk to a founder

AI work system of record

Work is tracked everywhere. Impact is tracked nowhere.

DevTris watches the work happening across your organization — what got built, whether it works, and what it changed. Then it answers to whoever has to explain it.

WORK FEATURE WORK RELIABILITY MIGRATION IMPACT EVIDENCE UNACCOUNTED

Same record. Different question.

The problem

Every status update is a reconstruction.

Jira has the ask. GitHub has the change. Slack has the reasoning, until it scrolls. You reassemble it by hand, from the people you're asking about.

ONE PIECE OF WORK ASK JIRA DIFF GITHUB WHY SLACK RUN CI FOUR PIECES, NO WHOLE

What we capture

One thread per piece of work, assembled for you.

Agents stitch the fragments into a single record: who asked, what was decided, what shipped, what happened next.

ASKEDDECIDEDSHIPPEDUSED ONE THREAD, PERMANENT

The new problem

Agents write more of your code every month. Who tracks that?

Someone has to know what was delegated, what came back, and whether the tokens bought anything. That's coordination, not coding.

“WHAT DID THE AGENTS SHIP?” ANSWER COMMIT TICKET RELEASE USAGE

The problem

You approved twelve bets. You can name the outcome of three.

Progress arrives as a hand-assembled deck, already stale, written by the teams being asked about. The bets that die quietly are the ones you never hear about.

LAST YEAR'S BETS 3 KNOWN 9 UNKNOWN

What we capture

A continuous thread from bet to result.

One thread per initiative: what was promised, what shipped, what changed. It survives reorgs and departures.

PROMISEDDECIDEDSHIPPEDMOVED ONE THREAD, PERMANENT

Who it answers to

Board asks Monday. You answer Monday.

Which bets are on track, which commitments are at risk, what the quarter produced. An answer, with the trail underneath it.

“WHAT DID LAST YEAR PRODUCE?” ANSWER COMMIT TICKET RELEASE USAGE

The problem

Sales has a funnel. Marketing has attribution. R&D has a headcount number.

The same dollars get radically different rigour depending on which function spends them. The largest line on the P&L is the one with no model behind it.

SALES MARKETING R&D ? SAME DOLLARS, DIFFERENT RIGOUR

What we capture

Spend, traced to work, traced to outcome.

One record per piece of work: what it cost, what shipped, what changed. Including the work that resolves to nothing.

FUNDEDBUILTSHIPPEDRETURNED ONE THREAD, PERMANENT

The new line item

And what exactly is the AI spend buying?

Token spend is growing faster than headcount, in the same blind spot. We track what agents were given and what came back.

“WHAT IS THE AI SPEND BUYING?” ANSWER COMMIT TICKET RELEASE USAGE

The problem

Delivery is measured. Adoption is assumed.

A feature ships, the ticket closes, the roadmap moves on. Whether anyone found it is a separate investigation nobody runs.

SHIPPED 40 FEATURES DISCOVERED 22 ACTUALLY USED 6

What we capture

From the customer who asked to the customer who used it.

One thread per feature: the request, the release, the behaviour afterwards. The loop back to whoever asked closes itself.

REQUESTEDBUILTSHIPPEDADOPTED ONE THREAD, PERMANENT

What it changes

Kill the wrong thing earlier.

When adoption is visible within weeks of release, roadmap arguments stop being about opinion.

“WHICH FEATURES ARE USED?” ANSWER COMMIT TICKET RELEASE USAGE

What runs today

It checks the product actually works.

Our agents crawl your application, model how it behaves, and verify it on every change. This part is real and running with design partners — it's what makes everything above it worth believing.

CHANGE REPLAYED VERIFIED CHANGE ? DRIFTED, FLAGGED

What it adds up to

Call it a brain for the business.

One record of what the company is doing, why, and what came of it — that keeps learning and doesn't forget when people leave. We start narrow, because a brain that can't verify its own claims is just a confident one.

VERIFIED BEHAVIOUR THE WORK, AS ONE THREAD DECISIONS & EVIDENCE ANSWERS

Where we actually are

We'd rather be honest than impressive.

Running today

  • Agents that map and verify your product
  • Test generation and self-healing
  • Regression detection on every change
  • In production with design partners

What we're building next

  • Work captured across every tool, as one thread
  • Impact attribution, investment to outcome
  • The answer layer for whoever explains it
  • Coordination across human and AI work

Get in touch

We're talking to 25 leaders about what this brain should know.

Thirty minutes, no deck. We'll show you what we've built and ask what you'd want it to do. If your answer changes our roadmap, that's the point.