Customer Service
For support and operations teams with repetitive queues. Resolves routine requests in your systems and routes exceptions with context.
Ready-to-deploy AI agents for proven use cases
Three focused products cover customer service, compliance screening, and token operations. Each has a shared operating core, then gets configured around your data, rules, controls, and infrastructure.
The repetitive load
Three products now. More operating jobs next.
Compliance
For compliance teams handling high-volume screening. Checks counterparties and transactions, documents evidence, and routes consequential calls to people.
Token Management
For crypto foundations and web3 teams. Runs grants, vesting, trading plans, tax, and reporting while people approve consequential actions.
Finance operations
Being built with pilot customers now. It lands here once it has run in production.
What is shared
The operating core is already built.
Your data sources, rules, controls, and deployment boundary are configured around the way your team works.
Configure
Connect the product to your data, rules, and systems.
Shadow
Run beside the current process and review the exceptions.
Go live
Move the agreed scope into service in your environment.
Operate
Monitor the workflow and improve it under one subscription.
Packages
Custom agents, practically
What does “plug and play” mean here?
The operating core of each product is already built and proven. What changes per customer is configuration: your data sources, rules, controls, and deployment boundary.
Can these be customized?
Yes, within the product: each is configured around your data, rules, and systems. When a workflow needs more than configuration, a custom agent is the better fit, and we will say so.
Where do they run?
In your own environment, or in a dedicated one Agentica sets up and operates for you. Sensitive data and inference stay inside the agreed boundary.
How are they priced?
A one-time deployment fee, then a flat subscription for hosting, monitoring, support, and improvement. We don't meter tokens.
How fast can one go live?
Faster than a custom build, because the core is already built: configure, run in shadow beside your current process, then go live once it clears the measure you set.
Find the agent that fits
Tell us the workflow and we'll point you to the right solution, or tell you if a custom build fits better.