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AI Agent & Agentic Workflow

AI agents and agentic workflows with clear controls

An AI agent is an AI application that can plan and execute several work steps using permitted tools, such as looking up data, filling in forms or creating tickets. Agentic workflows are worth applying when the steps are clear, the tools are limited and the results can be verified.

AI Agent Development, Agentic AI

  • Restricted tools and access
  • Every agent step logged
  • Human approval for risky actions
  1. 01Task
  2. 02Agent planning
  3. 03Permitted tools
  4. 04Approval
  5. 05Result & log

Business problems

Business problems we solve

Multi-step tasks across systems

One request forces staff to open several applications and copy data between them.

Rigid automation breaks easily

Rule-based automation scripts fail when the input format changes slightly.

Concern about uncontrolled AI

Companies want to use AI without giving it unlimited access to their systems.

What we build

What we build

  • 01

    Agents with restricted tools

    Agents can only call defined functions, with least-privilege access.

  • 02

    Human-in-the-loop approval

    Impactful actions such as sending, changing or deleting data wait for approval.

  • 03

    Audit log

    Every plan, tool call and result is recorded for review.

  • 04

    Scenario evaluation

    Test scenarios ensure the agent behaves as intended before wider use.

Example applications

Example applications

  • Ticket & report preparation

    The agent gathers data from several systems and prepares a draft ticket or report for review.

  • Procurement assistant

    The agent compares vendor quotes and prepares a summary for approval.

  • Internal operations assistant

    The agent answers questions and fetches status data from systems.

Architecture & approach

Architecture & approach

An agent is treated like a new user: minimum access and auditable actions.

  1. 01

    Define the task

    Set the goal, limits and success criteria.

  2. 02

    Define the tools

    The functions the agent may call and their access rights.

  3. 03

    Controls & approval

    Human approval points and a cost limit per task.

  4. 04

    Scenario testing

    Run normal and failure scenarios before release.

Technology & integration

Technology & integration

  • Python
  • LLM API integration
  • Tool / function calling
  • REST API
  • Audit logs
  • Queues & background jobs

Deployment

Levels of autonomy

Agent autonomy increases step by step based on evaluation results.

Option Description Best for
Assistant The agent prepares results, people carry out the actions.
  • Early implementation
Semi-automated The agent runs routine steps; impactful actions wait for approval.
  • Proven processes

FAQ

Frequently asked questions

When is an agentic workflow appropriate?
When the work steps are clear, the tools it may use are limited and the results can be verified. For high-risk processes we keep human approval in the loop.
How is an AI agent different from a chatbot?
A chatbot answers questions. An AI agent executes work steps by calling tools, so it needs stricter access control, approvals and audit logs.

Ready to discuss your requirements?

Tell us about your context and goals. We will help map the solution, priorities and an initial estimate.