AI & Automation
Workflows, agents and LLM systems that take repetitive work off your team.
We design and ship the automation layer of a business: n8n, Make and Zapier workflows, tool-using AI agents, RAG systems grounded in your own documents, and LLM features wired into the software you already run.
What you end up with
- A written map of every manual handoff we found, and what replaces it
- Working automations, handed over with documentation and error handling
- A measured before-and-after on hours and steps removed per week
- Systems you own, with credentials in your accounts rather than ours
Tools and platforms
- n8n
- Make
- Zapier
- LangChain
- LangGraph
- OpenAI
- Anthropic Claude
- Google Gemini
- Postgres + pgvector
- Pinecone
- Redis
- Supabase
- Slack
- HubSpot
- Airtable
- Google Workspace
Services
12 services in AI & Automation
Each one has its own page covering what the work involves, what you receive and the trade-offs.
n8n Automation
Self-hosted workflow automation with real AI agents inside it.
Make (Integromat) Automation
Visual scenario building for teams who want to see and edit the logic.
Zapier Automation
Fastest route to value when breadth of app coverage matters most.
AI Agent Development
Agents that use your tools, with hard limits on what they may do.
RAG Systems
Answers grounded in your documents, with the source cited.
LLM Integration
Language model features wired into the software you already run.
LangChain & LangGraph Development
Orchestration frameworks for agents that need real control flow.
AI Chatbots & Support Agents
Support that resolves real questions, and escalates when it should.
Business Process Automation
Mapping the process before automating any part of it.
AI Lead Generation & Qualification
From raw enquiry to qualified appointment, without manual triage.
AI Document & Invoice Processing
Turning piles of PDFs into structured records your systems can use.
Internal Knowledge Assistants
Your own policies and procedures, answerable in plain language.
How we think about it
Why ai & automation projects fail
The technical detail that decides whether this work pays back, written for someone who has to sign off on it.
Automation only pays back when it removes a real step
Most automation projects fail at the scoping stage, not the build stage. Someone automates a report nobody reads, or adds a Slack notification to a process that was already fine. We start by watching how work actually moves through the business, who touches a lead, where a handoff waits, which follow-up depends on a person remembering, and then pick the steps where removing manual effort changes a number you care about. Anything we cannot tie to a measurable outcome does not get built.
Choosing the platform is a cost decision, not a feature decision
n8n, Make and Zapier now advertise nearly identical AI capabilities, so feature comparisons are close to useless. What actually separates them at real volume is the billing model: n8n charges per workflow execution and can be self-hosted, Make bills per operation, and Zapier bills per task. On the same process, the monthly gap between the cheapest and most expensive of the three is often five to eight times. That is why we pick the platform after modelling your volumes, not before, and why we will happily recommend the cheaper one even when it means less billable work for us.
Agents need guardrails before they need intelligence
An AI agent that can send email, write to a CRM and move money is a liability with a language model attached. Before we give any agent tool access, we define what it may never do, put human approval on irreversible actions, cap what it can spend, and log every action it takes with the reasoning that led there. The interesting engineering in production agents is not the prompt, it is the failure handling, the retries, the evaluation set, and the cost ceiling.
Retrieval quality decides whether RAG works at all
When a document assistant gives a bad answer, the problem is almost never the language model. It is the retrieval: documents chunked on the wrong boundaries, a vector search that ignores the metadata a human would have used, no reranking step, and no evaluation set to prove a change helped. We treat retrieval as the product and the model as a replaceable part, which also means you can move to a cheaper or self-hosted model later without rebuilding the system.
Questions
Before you book a call
Do we need to replace the tools we already use?
Almost never. The point of an automation layer is to connect what you have. We build against your existing CRM, helpdesk, spreadsheets, accounting package and inbox, and we only recommend replacing a tool when it has no usable API or the licence cost is clearly larger than the integration cost.
Should we self-host n8n or use the cloud version?
Self-hosting removes per-execution fees and keeps sensitive data on infrastructure you control, which matters for healthcare and any process touching personal data. It also puts patching, backups and uptime on you. We size that decision against your monthly execution volume and your appetite for running a server, for low volumes the cloud version is usually cheaper once you cost in maintenance.
How do you stop an AI agent from doing something embarrassing?
Three controls, always: a hard allow-list of tools the agent may call, human approval before any irreversible or customer-facing action, and structured logging of every tool call and its result. We also build an evaluation set of real past cases and run it before any prompt or model change reaches production.
Can this work be extended by our own team later?
Yes, and that is the intent. Workflows are handed over in your own workspace with documentation written for the person who inherits them. If you would rather we stay on and maintain them, we do that too, but nothing is built to be unmaintainable without us.
Tell us where the manual work is
A 30-minute call. We map the process, tell you what we would automate or build first, and what it costs. No retainer before you agree the scope.
- No retainer before scope is agreed
- Written plan you can act on alone
- Worldwide delivery, on your hours