Embed & map
An engineer sits with your team, learns the workflow, and identifies the highest-ROI place to start.
Custom agents
Custom AI agents, built inside your business
An Agentica engineer learns the workflow with your team, builds against the systems it uses, and proves the agent beside the current process. The first deployment is scoped around one measure and one operating boundary.
Built for your context
When off-the-shelf doesn’t fit your workflow
The valuable workflows are often shaped by your own data, rules, and accumulated judgment. We map that context first, then decide what an agent can own safely.
The engagement
Embedded engineers, a scoped pilot, then production
Pilot in shadow
We build against your real data and run the agent alongside your existing process, so nothing breaks while we prove it works.
Ship to production
Once it clears your success metric, the agent goes live on your infrastructure, monitored and supported.
Reuse what worked
Proven underlying components carry forward, making the next deployment faster without carrying your data with them.
What arrives
What you get
Production engineers
Engineers who ship production code on-site, not consultants who ship slides.
ROI before novelty
Agents aimed at high-volume, repetitive, cognitively expensive work, measured against a metric you set.
Proven components
Every build draws on Agentica Harness and reusable components, so you pay less for what we’ve already solved.
Commercial model
Priced to budget, not to a meter
One fixed deployment fee to build and ship the agent. Then a flat subscription for hosting, monitoring, support, and improvement. No token metering, your AI cost is a line item you can forecast, whether the agent runs ten times a day or ten thousand.
Deployment feeBuild + ship
+
Flat subscriptionRun + improve
Deployment rubric
The agent earns live work
01
Shadow safely
Run beside the current process before changing live outcomes.
02
Clear one measure
Agree the operating threshold before the agent is allowed to take the work.
03
Own the exceptions
Define what reaches a person and keep the reason visible.
04
Move into service
Deploy when the workflow, controls, and economics hold together.
Working together
Custom agents, practically
What’s a forward-deployed engineer?
An engineer who works inside your organization, learning your systems and data, building the agent on-site, and shipping production code directly, without handing off to a remote team.
How is this different from a consultancy or software house?
We don’t deliver a deck and a backlog. Our engineers ship working software against your real data, building on components already proven in production.
How long until a custom agent is in production?
We aim for a working agent within the first weeks of a scoped pilot. Time to full production depends on workflow complexity, integrations, and data readiness.
Who owns the agent and our data?
You own your data and your deployment. It runs in a controlled, dedicated environment. Agentica retains rights only to reusable underlying components, never your data.
What does it cost?
A fixed deployment fee plus a flat subscription, no token metering. Book a call for a quote scoped to your workflow.
Bring us your hardest workflow
Tell an engineer what your team does by hand today. We’ll tell you what an agent could take off their plate, and how fast.
Book a call