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AI & Machine Learning

AI agents & process automation

Software that takes the next step, not just the next word.

An agent reads a request, decides which tools to use and carries the task through your CRM, inbox or database — logging every step and pausing for approval where it matters.

Automate the work between your systems.

An AI agent is a language model that can use tools: it reads a request, decides what to do, calls APIs or searches data, checks the result and continues until the task is done. That makes it possible to automate work that follows a goal rather than a fixed script — triaging incoming requests, researching a lead, reconciling records, or preparing a report from several systems.

Agents are powerful and easy to over-trust. We keep them narrow and observable: a clear set of permitted actions, logs of every step, limits on cost and scope, and human approval before anything irreversible. Where a plain workflow automation is enough, we will tell you and build that instead.

AI Agents & Automation

What we offer

01

Task agents

Agents that complete a defined job end to end — qualify a lead, answer a request, prepare a quote.

02

Tool & API integration

Connecting agents to your CRM, helpdesk, email, calendar, database and internal APIs safely.

03

Workflow automation

Combining deterministic automation with AI steps where judgement is needed, in n8n, Zapier or custom code.

04

Multi-agent systems

Several specialised agents that plan, execute and review each other’s work for complex processes.

05

Human-in-the-loop design

Approval steps, escalation rules and review queues so people stay in charge of important decisions.

06

Monitoring & cost control

Step-by-step traces, success rates and spend limits so you always know what the agents did and why.

When it’s the right fit

  • A process involves copying information between several tools by hand
  • Requests arrive in free text and need reading, sorting and routing
  • Your team repeats the same research or preparation steps for every case
  • You want to automate more than rigid rules can handle

How we deliver

  1. 01Pick one processWe map a single repetitive workflow step by step and agree what the agent may and may not do.
  2. 02Connect the toolsScoped API access to the systems involved, tested in a sandbox before the agent touches live data.
  3. 03Supervised runsThe agent works alongside your team, proposing each action for approval until its accuracy is proven.
  4. 04Gradual autonomyLow-risk steps become fully automatic; high-stakes ones keep a human sign-off. Traces and spend stay visible.

Technology

Tools we use for AI Agents & Automation

  • OpenAI
  • Anthropic Claude
  • LangGraph
  • n8n
  • Python
  • Node.js
  • PostgreSQL
  • REST APIs

Frequently asked questions

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

A chatbot answers questions. An agent takes actions — it can call your systems, update records and complete multi-step tasks towards a goal.

Is it safe to let an AI agent act in our systems?

We give each agent the minimum permissions it needs, log every action, cap spending and require human approval for anything irreversible, such as payments or sending messages to customers.

Which processes are good candidates for agents?

Frequent, repetitive tasks that follow a goal but vary in detail — request triage, lead research, data entry from documents, report preparation. We help you pick one with clear value to start with.

Next step

Tell us what you want to build.

A free 30-minute consultation with an engineer — no obligation, reply within one business day.

Contact us