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Our approach

Our Approach

Five steps from the first conversation to a skill running inside the platform.

The engagement

How an engagement runs

  1. Step 01

    Engage

    Embed with the client and understand the process.

  2. Step 02

    Build the skill

    Turn the process into an agent skill.

  3. Step 03

    Harden with a constitution

    Rules, controls and edge cases that make the skill reliable.

  4. Step 04

    Converge into the platform

    Deploy the skill into the client's platform ecosystem.

  5. Step 05

    Review and approve

    The client team stays in the loop; the skill keeps improving.

A hardened skill running inside the platform, with the client’s team in the loop.

Our approach

The golden rule

  1. 01The client identifies the gap.
  2. 02We build.
  3. 03The client validates.
  4. 04We own, run and improve the agent.

Built to scale

Built to scale: the skill factory

Capacity grows with the skill library, not linear headcount.

Every engagement adds to the library, so the next client starts further ahead.

  1. 01DevelopSkills are built and hardened in a factory setting.
  2. 02ReuseEach hardened skill becomes a reusable asset in the DaVero AI skill library for the next client.
  3. 03RedeployForward Deployed Consultants move to the next client or process as skills mature.

The delivery pod

Led by the Forward Deployed Consultant

  • Pod lead

    Forward Deployed Consultant

    Domain expert who engages enterprise clients, understands their processes, builds the skill and writes its constitution. A peer to controllers and CFOs.

  • Integrations

    Solutions Engineer

    Platform integrations, data and APIs. Connects the client’s data so agents have what they need.

One pod per client.

Governance

Five actors around every agent

  • A Subject expert
  • B Forward Deployed Consultant
  • C Validator
  • D Operator
  • E Owner
How governance works

“Finance teams are becoming product managers… we’re watching the finance engineer take shape.”

Nick Kopp, CEO, Rillet · Oct 2026

The last mile is where software, services and context meet.