Parlons

parlons@root ~ $ ./deploy --company-os

Parlons deploys AI transformation with measurable results

Parlons partners with companies to benchmark AI maturity, find the bottlenecks slowing operations, and embed agentic workflows in the tools their teams already use.

We deliver an AI-native technical and cultural operating system and train your team to use it.

Contact Parlons
FIG. 01 / COMPANY OSHUMAN + MACHINE
● ● ●parlons — workspace⌘
company-os/
  • ⌑ operating-principles.md
  • ⌁ workflows/
  • ⌑ agentic-loops.ts
  • ⌑ scorecard.md
$ deploy --with-your-team
↳ built with your team01—03

The AI transformation world is noisy and full of conflicting voices. You've probably heard everything from: "Where's the ROI?" to "Our shipping velocity is up 600x!" and "You need a software factory!" You know where you want to go, but not how to get there.

Meanwhile, the technology is not slowing down. Your board and your customers expect faster operations and better outcomes. The question keeping everyone up at night is:

How do we turn our ambition into real progress in the age of AI?

Most executive initiatives fail because they treat LLMs as a productivity feature layered onto a legacy org chart.

Real transformation requires building a CompanyOS: a unified technical, operational and cultural architecture that unbundles management and embeds autonomous execution into every function.

One of the core deliverables is an AI-native technical operating system: production workflows embedded in the tools your teams use, durable company context that keeps agents grounded, and governance to measure, maintain, and expand what works.

  1. 01/ workflows
    Production workflows

    Agentic loops embedded in the tools your teams already use.

  2. 02/ context
    Durable company context

    System knowledge and operating memory that keep agents grounded.

  3. 03/ governance
    Governance and measurement

    Runbooks, evaluation harnesses, and scorecards that make adoption durable.

AI transformation sticks when teams have ownership, fluency, and a shared operating cadence.

"We know how to drive adoption via hands-on AI hackathons, targeted training, and specific playbooks that we have successfully executed. You'll implement principles that make your company AI-first and update role definitions built around single-owner accountability."

Tom WillererTom Willerer, Product Executive | Reforge, Coursera, Opendoor, Netflix

"Before you ship anything an AI helped you make, look at it and find the places you applied your judgment. Look for the number you questioned. The section you cut. The assumption you challenged. The framing you fixed. If you can see your fingerprint, and the outcome is clear, you have done the job."

Adam FishmanAdam Fishman, Product & Growth Executive | Patreon, Lyft, Mozilla

Who are we?

We are senior operators who have led AI and product transformations at scale. We don't advise from the sidelines: we embed with your team, build production workflows, and transfer full ownership to internal leads.

We've scaled companies like Netflix, Uber, Reforge, Lyft, Scale AI, and other high-growth product teams.

  • Tom Willerer

    Tom Willerer

    COO at Reforge. Former product leader at Netflix, Coursera, and Opendoor, with experience scaling teams and leading organizational transformation.

  • Adam Fishman

    Adam Fishman

    Product and growth leader across Lyft, Patreon, and Mozilla. Helps teams build growth systems, adopt AI, and navigate organizational change.

  • Ben Kramer

    Ben Kramer

    Head of Engineering at Miro/Reforge. YC-backed founder. Built agentic systems and scaled data platforms at Uber ATG.

  • Chun Jiang

    Chun Jiang

    YC-backed co-founder and product leader across Reforge, Uber, and Scale AI. Head of Agents at Miro, where she deployed the foundational Company OS.

NetflixUberMozillaReforgeLyftLyftScale AIScale AI
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