AI agents that act in your stack.
Read a ticket, follow your rule, write the result back. Guardrails and human review where it matters.
What one run actually does
An agent is a sequence, not a reply. This is the shape of every one we ship.
- 01
Read
Pulls the ticket, the matching record, and your own documents.
- 02
Decide
Follows the rule you wrote, and cites what it used to get there.
High stakes: a person approves before anything sends.
- 03
Act
Writes the result back into the CRM, the queue, or the ticket.
- 04
Log
Every step is stored, so a run can be reviewed and replayed.
A chatbot replies. An agent finishes the job.
Most organisations do not need another chat window on the homepage. They need the work to be done and written back.
What a chatbot does
- Answers in a box and stops there.
- Forgets the thread when the tab closes.
- Cannot touch the record it is talking about.
What we build instead
- Opens the ticket and updates the record.
- Follows the rule you wrote down, and cites it.
- Leaves a log you can replay next quarter.
Ship the job, not a demo
We scope one high-value workflow first. Qualify a lead, summarise a case, draft a support reply for review. Then we add tools and tests around it. The agent is designed against your data and your permissions, and it is tested on messy real inputs rather than a clean demo set. If it cannot complete the job on real tickets, it does not ship.
Where it runs depends on the job. Inside your product when a person needs to see it, on a queue when it runs unattended, or on n8n when it has to touch many tools at once and the orchestration needs to stay visible. You can see the steps, turn a single tool off, and replay a run when something looks wrong.
When the model is part of something you ship, an assistant in your app or document Q&A over your corpus, we ground answers in your sources and log what was asked. Custom machine learning for forecasting, scoring and routing waits until you have labelled history worth trusting.
What sits around the model
Grounding
Answers come from your own documents and records, with the source attached. If it is not in there, the agent says so rather than inventing something plausible.
Permissions
The agent inherits the logins and record-level access your people already have. No shared super-user quietly reading everything for everyone.
Review
Anything that could send money, medical or legal text waits for a person. You decide where that line sits before we build, not after an incident.
Replay
Every run is stored with its inputs and its tool calls. When a result looks wrong you can reproduce it, instead of arguing about what the model might have done.
When we will not use a model
If a rule, a filter, or a spreadsheet already does the job, we will say so. We do not wrap a simple step in an LLM to make a proposal look current. The cheapest accurate system is the one you should ship, and sometimes that is three lines of logic in the tool you already pay for.
Work that sits next to this
Automation
n8n and Zapier workflows that connect your apps, built, fixed and looked after.
Read moreData, Analytics & AI
Turn scattered data into clear dashboards and smart automation that drive better decisions.
Read moreSoftware & websites
Custom software and websites built around how you work, not the other way around.
Read moreQuestions we get before a build
No. We build agents when the job is an action: update a record, send a draft, open a ticket, not only a reply in a box. Chat UI stays where a person still needs to talk to the system.
We ground responses in your own sources, log what was asked, and put a human review step on anything high-stakes. If a simple rule or automation is enough, we will say so rather than force an AI project.
Yes. When an agent needs to read or write in several apps, we hang it off n8n so the orchestration stays visible. You are not locked into a private script only we can debug.
Then we start with retrieval and a prompt over your documents, not custom machine learning. Custom models wait until you have history that is actually trustworthy.
With a conversation, not a contract. We learn your situation, goals and constraints, then come back with a clear scope, timeline and price before any work begins.
We do not disappear at handover. Everything is documented, your team is brought up to speed, and ongoing support is available so what we built keeps holding.
Not covered here? Ask us directly. No obligation.
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