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WebBoxSoftware Solution

AI & Automation

AI Agents That Complete Tasks, Not Just Conversations

AI agents that carry out multi-step tasks across your tools, with approvals.

Humanoid robot portrait symbolising artificial intelligence

Overview

An AI agent can read a request, look up information in your systems, take actions and report back. Used carefully, agents handle routine back-office tasks such as preparing reports, updating records or triaging requests.

We build agents with narrow permissions, approval steps for sensitive actions and full logs of what they did.

Use cases

Where this helps

  • 01Preparing a weekly sales summary from the CRM
  • 02Triaging support emails into tickets
  • 03Updating order records from emails
  • 04Research assistants for internal teams

Benefits

What you gain

Real work done

Agents act inside your tools.

Safe by design

Limited permissions and approvals.

Auditable

Every action recorded.

Process

How we deliver ai agent development

  1. 1

    Assess

    Identify tasks where AI adds measurable value.

  2. 2

    Prototype

    Test on real examples and measure accuracy.

  3. 3

    Guardrails

    Permissions, review steps and logging.

  4. 4

    Integrate

    Connect to your systems securely.

  5. 5

    Monitor

    Track quality, cost and feedback.

Deliverables

  • Agent scope and permission model
  • Agent implementation
  • Testing scenarios
  • Monitoring and logs

AI Agent Development: common questions

Are AI agents reliable?

They work best on well-defined tasks with clear tools. We test extensively and keep humans in the loop for important decisions.

Which systems can an agent use?

Any system with an API or database access we can secure properly.

Start a conversation

Planning ai agent development?

Tell us what you are planning. We will reply with practical next steps, an honest recommendation and a clear estimate.