AI Automation
n8n workflows, CRM and API integrations, routing, documents and reporting.
Explore AI AutomationIntelligent digital workers
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.
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.
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
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.
A front-end simulation with a fictional business: no AI is called and nothing you do here is sent anywhere.
Problems we solve
Experienced staff spend hours gathering information, copying data and preparing standard documents.
Simple jobs need the CRM, inbox, spreadsheets and website open at once, so they are slow and error-prone.
Your current assistant answers questions but cannot look anything up, update a record or finish a task.
You want the benefits of AI, but not an assistant that acts without oversight or makes things up.
Outcomes
What you get
How we work
Process
The task, its inputs, tools, rules and what good output looks like.
Week 1Agent role, tools, permissions, approval points and test cases.
Week 2Agent, tool connections and guardrails, tested on real examples.
Weeks 3-5Supervised use with your team, every action reviewed.
Weeks 5-6Fewer approvals where trust is earned, then the next workflow.
MonthlyDeliverables
Tools we work with
Industries
FAQ
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.
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.
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.
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.
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.
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n8n workflows, CRM and API integrations, routing, documents and reporting.
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Book a free 30-minute strategy call. You leave with three clear priorities for growth, whether you work with us or not.