Intelligent digital workers

AI agent development: intelligent digital workers that get real work done

We build AI agents that understand instructions, use your connected tools, retrieve the right information and complete multistep tasks - with the permissions, logging and human approval your business needs.

From chat answers to completed tasks

A chatbot answers questions. An AI agent gets work done. Give it a goal – research this prospect, prepare this quote, resolve this support request – and it plans the steps, uses the tools it has been given, checks its own results and either finishes the job or hands it to a person with everything they need.

We design each agent around a specific job with clear boundaries. It gets only the tools and data that job needs, connected through your systems’ APIs or the Model Context Protocol (MCP), with permissions that match the person it supports. Actions that matter – emailing a customer, changing a record, issuing a refund – wait for human approval until you decide they no longer need to. Every step is logged, so you can always see what the agent did and why.

Where one agent is not enough, we orchestrate several: a research agent gathers information, a drafting agent prepares the output and a reviewer checks it against your rules. We start with one well-defined workflow, prove it on real cases, then expand.

Who it is for

Teams whose skilled people spend hours on research, preparation and admin, businesses with processes that span several systems, and companies that want AI to complete tasks safely rather than just chat.

See it in action

A quick, scripted walk-through.

Research agent with your approval

Scripted demo

Example: an agent preparing for a sales call with a fictional prospect.

Task Prepare a briefing for tomorrow’s call with a new prospect and draft a follow-up email.

  1. Plan: check CRM history, read their website, summarise, draft the email.
  2. CRM: two earlier enquiries found; the last one asked about pricing.
  3. Website: three services; a second location opened recently.
  4. Notes: prefers email; the decision-maker is the operations lead.
  5. Briefing ready: summary, likely priorities and three questions to ask.
  6. Follow-up email drafted. It goes to a customer, so it needs your approval.

A front-end simulation with a fictional business: no AI is called and nothing you do here is sent anywhere.

Problems we solve

Sound familiar?

Skilled people doing routine work

Experienced staff spend hours gathering information, copying data and preparing standard documents.

Tasks that span many tools

Simple jobs need the CRM, inbox, spreadsheets and website open at once, so they are slow and error-prone.

Chatbots that cannot act

Your current assistant answers questions but cannot look anything up, update a record or finish a task.

Worries about control

You want the benefits of AI, but not an assistant that acts without oversight or makes things up.

Outcomes

What changes for you.

  • Less repetitive work and faster task completion for your team
  • Research, preparation and admin handled by agents, reviewed by people
  • Clear permissions and approvals for every action that matters
  • A full log of what each agent did and why
  • Agents that improve as we tune them on real cases

What you get

Included

  • Autonomous research and analysis
  • AI business assistants
  • Sales and lead qualification agents
  • Customer support agents
  • Multi-agent orchestration
  • Human approval and escalation

How we work

Our approach

  • One clearly defined job per agent
  • Least-privilege access to tools and data
  • Human approval for actions that matter
  • Test on real past cases before going live
  • Log, monitor and improve continuously

Process

How it runs, step by step.

  1. Discover

    The task, its inputs, tools, rules and what good output looks like.

    Week 1
  2. Design

    Agent role, tools, permissions, approval points and test cases.

    Week 2
  3. Build

    Agent, tool connections and guardrails, tested on real examples.

    Weeks 3-5
  4. Pilot

    Supervised use with your team, every action reviewed.

    Weeks 5-6
  5. Expand

    Fewer approvals where trust is earned, then the next workflow.

    Monthly

Deliverables

What you receive.

  • Agent design with permissions and approval rules
  • Production AI agent connected to your tools
  • Evaluation set of real test cases
  • Monitoring dashboard and action logs
  • Runbook and team training
  • Monthly tuning and reporting

Tools we work with

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Model Context Protocol (MCP)
  • n8n
  • LangGraph

FAQ

AI Agents: common questions

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

A chatbot mainly answers questions in a conversation. An AI agent works towards a goal: it plans steps, uses tools such as your CRM, inbox or documents, and completes tasks, asking a person for approval wherever you require it.

Can an AI agent act without anyone checking?

Only where you decide it should. We start with human approval on every action that affects customers, money or records, and reduce approvals step by step as the agent proves reliable on real work.

How do you stop agents from making things up?

Agents work from your connected data and documents, show where information came from and are tested against real cases before launch. When an agent is unsure, it asks or escalates instead of guessing.

Which AI models do you use?

We choose per task, usually from OpenAI, Anthropic and Google models, balancing quality, speed, cost and data requirements. Your agent is not locked to one provider.

Is our data used to train AI models?

We use business API services whose terms exclude customer data from model training, confirm the settings for each project and give each agent access only to the data its job requires.

Related services

Works best together with

AI Automation

n8n workflows, CRM and API integrations, routing, documents and reporting.

Explore AI Automation

AI Chat Agents

Website and WhatsApp assistants that answer, qualify and hand off to people.

Explore AI Chat Agents

Let’s talk about AI Agents.

Book a free 30-minute strategy call. You leave with three clear priorities for growth, whether you work with us or not.