From one workflow to a running agent
We scope one workflow, build against its real systems, shadow the current process, and move it live when the agreed measure and controls hold. Commercially, that means one deployment fee and one predictable subscription.
The repetitive load
Three products now. More operating jobs next.
Our engineers work with the people who do the work. They learn your workflow on-site, build against your real data, and ship production code directly, without a handoff to a remote delivery team. The operating context stays close to the engineering decisions.
Pilot to production
Build in shadow. Launch when the metric and controls hold
Scope
Pick one high-ROI workflow and define the single success metric it has to hit.
Build & test
Build the agent and run it alongside the current process, real data, no risk to live operations.
Ship
Once it clears the metric, move it live on infrastructure you control.
Run & improve
Host, monitor, support, and improve it under the subscription.
Pricing
Flat fee. No token meter.
Deployment
One-time fee
Subscription
Fixed fee
A one-time deployment fee to build and ship the agent. Then a flat subscription for hosting, monitoring, support, and improvement. We don't meter tokens, so your bill doesn't move because an agent reasoned longer or ran more often.
Not sure about the pricing and how it works?
Infrastructure economics
The IP behind the economics
Charging a flat fee only works if deployment is efficient and runs on infrastructure we can control the cost of. That's Agentica Logos, the proprietary technology behind efficient, secure, locally-hosted agents. It makes agents on your infrastructure at a fixed price the default, not a premium.
Data boundary
Sensitive workflow data stays within the agreed deployment boundary
01Inside your perimeter
Run on your own infrastructure or in a dedicated environment Agentica sets up and operates.
02Handled end to end
Deployment, hosting, monitoring, and the audit trail stay part of the operating model.
03No sovereignty upgrade
Controlled deployment is how Agentica ships regulated and data-sensitive work, not an optional tier.
Working together
The engagement, practically
Why a flat fee instead of per-token pricing?
AI should become more valuable as you use it more — not more expensive. Our flat-fee model keeps costs predictable, so teams can scale usage without watching a token meter. In case you prefer to use API of external AI providers (Antrophic, OpenAI) – the monthly cost would depend on use.
What does a pilot cost and how long is it?
It depends on the workflow, integrations, and security requirements. We scope every pilot around a clear business outcome, timeline, and success metric before any work begins.
What's the minimum commitment?
We start with a clearly scoped deployment rather than a long transformation programme. You know what we’re building, what success looks like, and what it will cost before committing to a broader rollout.
What happens after the agent is live?
We monitor, support, and continuously improve it. And because we’re already connected to your systems and understand your environment, the next automation can be deployed significantly faster.
Do costs rise as usage grows?
Not because an agent processed more requests or used more tokens. Our pricing is designed around predictable deployment and operating costs rather than metered AI usage.
Who owns what we build?
You retain ownership of your data and the custom work we build for your organization. We retain our underlying reusable technology and components, allowing us to keep improving the platform without taking ownership of your business logic or data.
Can our data stay in our jurisdiction?
Yes. We can design deployments around your data-residency and infrastructure requirements, including private cloud and on-premise environments where required.
See it on one of your workflows
The fastest way to understand how we work is to scope a real pilot. Bring the workflow that costs your team the most time.