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Curve Infotech

Services

AI Agent Development

Task-focused agents that can gather context, call approved tools, and hand work back to people when a decision needs judgment.

Business problem

Generic chat interfaces rarely complete business tasks. Teams need software that can follow a procedure, use specific systems, and stop when it is unsure.

Solution

We design agents around a narrow job: the tools they may call, the data they may see, and the conditions that require a person. The agent is part of an application, not an unbounded assistant.

Capabilities

  • Workflow and tool design
  • Permission-aware actions
  • Handoff to human operators
  • Evaluation sets for expected tasks
  • Integration with internal APIs

Benefits

  • A bounded scope that can be tested
  • Fewer unsupported actions against business systems
  • An audit trail of tool calls and outcomes

Technologies

  • TypeScript
  • Python
  • Internal APIs
  • Queue-based jobs

Implementation approach

  1. 01Write the task the agent is allowed to perform.
  2. 02Define tools, inputs, and stop conditions.
  3. 03Test against representative cases before any production action.
  4. 04Monitor failures and expand scope only after review.

Questions

How does an AI agent engagement start?

We start with a discovery conversation about the business problem, constraints, and what a useful outcome looks like. A written scope is agreed before delivery begins.

Can this be delivered with our internal team?

Yes. Work can be advisory, delivered by Curve Infotech, or shared with your team. The operating model is agreed during scoping.

Who owns the work product?

Ownership is defined in the statement of work. Commissioned deliverables are typically assigned to the client on payment, excluding pre-existing Curve Infotech tools and third-party software.

How is security handled?

Access, environments, and data handling are agreed up front. Production access is limited to what the engagement requires, and secrets are not stored in the application source.

Related

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Tell us about the business problem. We will reply with a scoped next step.

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