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Aurozen AI

AI Agents

An agent uses a model to decide steps and call approved tools. How autonomous it should be depends on the task, permissions, risk, and system design.

Problems we solve

  • Repetitive tasks that need judgment
  • Information scattered across systems
  • Need for actions, not only answers

How we approach it

The work, in the order it happens.

  1. Agent architecture

    Define role, tools, memory, and boundaries.

  2. Tool calling and integrations

    Connect approved business systems with scoped permissions.

  3. Human approval checkpoints

    Require review for higher-risk actions.

  4. Evaluation and monitoring

    Test on representative tasks and track behavior in production.

  5. Failure handling

    Retries, fallbacks, and escalation to a person.

Lead qualification assistantsCustomer-support agentsInternal knowledge assistantsResearch assistantsDocument-processing agentsOperational workflow agents

See an agent handle a task

Fictional leads and deterministic rules. No customer is contacted.

Demonstration with fictional data. No customer is contacted and no system is changed.

  1. 1. Incoming lead
    Hi, I run a 20-person logistics firm. We want to automate invoice entry into our accounting system. Budget approved, want to start next month. — Priya, Director

What you receive

Deliverables

  • ✓Agent implementation
  • ✓Tool and permission definitions
  • ✓Evaluation set and results
  • ✓Operating documentation

With your existing software

Agents act through the tools you approve, with permissions scoped per tool. Integrations are designed against your existing tools where technically feasible and where API access and permissions are available. They are scoped per project, not assumed to exist as prebuilt connectors.

Testing and deployment

Evaluated on representative tasks, including adversarial and failure cases, before deployment.

Ongoing support

Monitoring, prompt and model updates, and tool changes can be covered under support.

Delivery process

The same eight phases on every project; the detail changes by service.

  1. 01

    Discover

    Understand the business, processes, current technology, and desired outcomes.

  2. 02

    Assess

    Evaluate feasibility, risks, constraints, data availability, integrations, and approaches.

  3. 03

    Design

    Define the architecture, workflow, components, permissions, and implementation plan.

  4. 04

    Build

    Implement the agreed solution using suitable technologies.

  5. 05

    Integrate

    Connect the solution to existing systems where technically feasible.

  6. 06

    Validate

    Test functionality, integration behavior, failure scenarios, and agreed performance criteria.

  7. 07

    Deploy

    Deploy to the agreed environment: client-managed, cloud, or another supported arrangement.

  8. 08

    Support

    Provide the agreed maintenance, troubleshooting, monitoring, and improvements.

Questions

Only for actions you define as low-risk. Others pass through a human checkpoint.

Scope is determined after discovery. Request a tailored proposal. More FAQs

Have a business problem worth solving?

Explain your requirements and we will discuss a suitable approach.