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How FluentOrg works.

Every seat is self-paced from day one, with an optional six-week rollout for companies that want everyone moving together. Everyone grows through the same three levels. And when it works, one feature moves through thirteen teams with no handoff meetings.

How it works

At your own pace, or six weeks together.

Every seat includes the online program, and it is self-paced: modules, product manuals and exams are available from day one, so people can work through them whenever it suits them, in any order their role calls for, with no cohort and no fixed schedule.

Companies that want everyone moving together can run the optional six-week rollout below, with their own leads or with Caldermont running it as the Delivered program. Each week ends with something real: a prompt, a deliverable, an agent, a handoff.

The optional six-week rollout

  1. Week 1

    Kickoff and prompting

    Foundations for everyone: the introduction and how to write a good prompt.

    Output: everyone has written five real prompts.

  2. Week 2

    The feature set

    The Claude feature-set module, plus the first three sections of your team module: where AI moves the needle, the tool stack, and the copy-and-paste prompts.

    Output: one branded deliverable per person.

  3. Week 3

    Agents

    The agents module, plus the worked demo and the agents your team should build.

    Output: each team has scoped one agent to build.

  4. Week 4

    Interoperability

    The interoperable-outputs module, and each team builds its agent.

    Output: each team has a working agent.

  5. Week 5

    Tools and cost

    The tool-landscape and cost modules, plus a Connector lab: two teams hand work to each other, agent to agent.

    Output: one cross-team handoff demoed.

  6. Week 6

    Showcase and certification

    Each team demos its best AI outcome.

    Output: certification, and champions named per team.

No cohort required. An individual, a single team or a whole company can start the moment their seats are active; the six-week cadence is a rollout plan, not a prerequisite. Tool provisioning runs on its own track. Before week one, governance and access are set up. Then each team's full tool stack is switched on in impact-ordered waves, so the highest-leverage teams produce value first. Product manuals are self-serve and land when a team's tools do.

How people grow

Operator, Builder, Connector.

Everyone progresses through the same three levels regardless of team, toward the Certified AI-Enabled Organization credential. Each level is earned with real work, not a quiz alone: a branded deliverable, a running agent a peer can reuse, and a handoff another team's agent consumes with zero rework.

Level 1

Operator

Uses AI well, solo. Writes strong prompts, uses Projects and Artifacts, and produces a branded deliverable from a template at the lowest token cost.

Level 2

Builder

Automates a recurring task. Builds and runs a custom agent or skill for a real workflow, and a peer can run it and get the same result.

Level 3

Connector

Makes work flow between teams. Produces output another team's agent consumes with zero rework, and consumes theirs. This is the goal.

An organization full of Operators is faster individually. An organization full of Connectors is faster together.

What it looks like when it works

One feature. Thirteen teams. Zero meetings.

The program's demo packet follows one feature from a rough idea to a complete release packet: everything a launch needs from every function. Each team's AI consumes the previous team's output directly, with no meeting to translate it.

  1. Product management runs the PRD skill (a reusable prompt that writes the requirements document): a PRD plus a positioning block, the single source of truth.
  2. Engineering's agent turns the PRD into tickets, an API specification and a runbook, in your tracker, in your format.
  3. Sales, Marketing and PR produce the one-pager, the competitive matrix and the PRFAQ, all from the same positioning block, verbatim.
  4. Finance builds a live three-year model; InfoSec and Legal verify the security and compliance claims.
  5. Data Science writes the KPI, instrumentation and pipeline specs in the shared metric vocabulary.
  6. Support ships guides and playbooks, and structured issue data flows back to product management. The loop closes.

Ready to empower your organization?

Let's build a more AI-ready future, together.

Give your teams the skills, tools and confidence to turn AI into real business value. Start one team today, or every team in six weeks.