AI agent development & workflow automation: AI Agents & Automation

AI agents that don't just answer, they act. They read context, make decisions within clear rules and complete multi-step tasks across the tools your business already runs on.

Definition

What is an AI agent?

An AI agent is software that uses a large language model to complete multi-step tasks: it reads context, decides what to do within rules you set, and acts in your tools, such as updating a CRM, sending a quotation or routing a ticket. Workflow automation connects those steps so work moves without manual hand-offs.

Service

What we deliver

  • Lead qualification and follow-up agents
  • Order, quotation and dispatch workflow automation
  • Support ticket triage, routing and resolution
  • Back-office automation: data entry, reconciliation and reporting
  • Human-in-the-loop approvals with a full audit trail

A good fit if

Your team spends hours each day on repetitive, rules-based work across email, WhatsApp, spreadsheets and CRMs.

Works with

CRMERPEmailWhatsAppGoogle WorkspaceMicrosoft 365
Process

How we build an AI agent

01

Map the workflow

We sit with the people doing the work and write down each step, decision and exception, so the agent follows how your business really operates.

02

Set the rules

You decide what the agent can do alone and what needs approval. Limits on discounts, refunds or record changes are agreed before anything is built.

03

Connect your tools

The agent gets scoped access to systems such as your CRM, ERP, inbox or WhatsApp, limited to the data and actions its job requires.

04

Test and widen

We test against real past cases, launch with a person reviewing its work, and expand what it handles as accuracy is proven.

Illustrative example

What it could look like.

Imagine a distributor that receives order enquiries by email and WhatsApp. An agent reads each message, matches the products to the catalogue, checks stock in the ERP and drafts a quotation. A sales rep approves it with one click, then the agent sends it and updates the CRM.

Where to start

Your first project, and when to skip it.

A good first project is one high-volume workflow with a clear finish line, such as lead follow-up or support ticket routing. Most first projects begin as a proof of concept lasting two to four weeks. See ways to work with us

If a process changes every time or depends mostly on personal judgement, an agent will struggle. If a task has fixed steps and no unstructured input, plain rules-based automation is simpler and cheaper, and we will tell you so.

FAQ

AI Agents & Automation, explained.

Have a question we haven't covered?

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What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent also takes action: it reads context, makes decisions within rules you set and completes multi-step tasks such as updating your CRM, creating a quotation or routing a ticket.

Will an AI agent make decisions without our team?

Only where you allow it. We design human-in-the-loop approvals for anything sensitive, and every action an agent takes is logged in a full audit trail.

Which tools can your agents work with?

Agents connect to the systems you already use, including CRMs, ERPs, email, WhatsApp, Google Workspace and Microsoft 365. If a tool has an API, we can usually integrate it.

AI Agents & Automation

Start with a conversation.

Tell us about the process you want to improve. We'll recommend the simplest path to a result, and the first conversation is free.