Embedded AI team
An embedded team that turns how you work into agents.
The AI Velocity POD is an embedded AI team of forward-deployed engineers. They learn your organization's processes from the inside, model them on your platform, and build the agents that run them, working with your IT team and your business teams at once.
What the pod does
From how you work to an agent that does it
Sit with the people who do the work
The process as it really runs, not as the diagram says it does
With your teamsMap the process and its rules
The steps, the exceptions and the judgment calls, written down once
Your podModel it on your Company's Brain
Tied to the records in your own systems
Your podBuild the agent and take it round the loop
Scoped, evaluated and gated, with your people in every review
ADLCHand it to your team
They run it, and they build the next one
Your team
Run on the ADLC, start to finishIllustrative
Two teams, one pod
Trusted by IT. Wanted by the business.
An agent program fails when either side is left out. The FDEs on your pod are business and product engineers, so both conversations happen with the same people.
With your IT team
Secure, and built around permissions.
- Deployed in your private tenant, or inside your own environment
- Role-based access for people and for agents, down to the records each may see
- An autonomy level for every agent, set by you
- Every action on an append-only audit
- Your change process and your access rules. Nothing is deployed around them.
With your business teams
More functions running on their own, sooner.
- Start with the function that costs you most
- The rules in your people’s heads become the agent’s instructions
- Each agent starts reviewed, and earns more as it proves itself
- The next process goes faster, because the foundation is already there
- Your people handle the exceptions and the decisions that deserve them
The method
Every agent the pod builds goes round the same loop.
The pod works to the Agent Development Lifecycle: scope, build, evaluate, gate, deploy, observe, improve. It is the method behind the agents in our own products, and it is what your team is trained in. Read the ADLC.
2 weeks
Assess
Workflows mapped and costed. The output is yours either way.
3 weeks
Your Company's Brain
The Ferrata Labs Ontology connected to your systems, in your environment.
Under 12 weeks in all
First agent live
One workflow, real transactions, an approval gate on every consequential step.
Then on
Your team, AI native
More agents as trust builds, until your own people build the next one.
The handover
Until your team builds the next one.
The pod is there to leave something behind: agents in production, a platform you own, and people of yours who know how to add to it. The engagement is designed to end.
While the pod is with you
Your people are in every review. They see each agent scoped, built, tested and gated, on your own platform, with Ferrata architects checking every release.
When it steps back
The Brain, the agents and the method stay. Your team scopes and ships the next agent themselves.
Next step
Bring us one workflow.
Thirty minutes, no deck. Pick the process that costs you most in people, errors or delay, and you leave with an honest read on whether an agent is the right answer, and an honest answer if you should fix something else first.