AutomationEnquiries arrive at 23:40 on a Sunday.Who answers?
Automation here means the path an enquiry takes after it arrives: captured in one place, qualified by an agent asking what you would ask, routed to the right person with context attached, and followed up on a schedule rather than from memory.
Why it matters
The expensive failure is almost never a bad reply. It is no reply: an enquiry that arrived while everyone was busy and aged out.
One intake surface
Forms, calls and messages land in one place with their source attached, so nothing depends on one person noticing.
Qualified before the first call
An agent asks what you would ask and writes the answers into the record, so the first human conversation starts at the useful part.
Fails loudly, escalates early
Anything the agent cannot classify goes to a person with the full thread. A system that fails silently and confidently is worth less than none.
Where the value sits
The expensive failure is almost never a bad reply. It is no reply — an enquiry that arrived while everyone was busy and aged out. Fixing that requires no AI at all, just one place where things land and a rule about who owns them.
The agent earns its keep at the next step: asking the qualifying questions immediately, at 11pm on a Sunday, so the first human conversation starts with the answers already known.
What we will not do
We will not put an unsupervised agent in front of your clients on day one, and we will not automate a process nobody can describe. If the manual version of a workflow is undocumented, automating it just makes the confusion faster.
See pricing for how engagements are scoped and what the tiers include.
How we do it
How the work runs.
- Lead
- AI agent
- Qualify
- CRM
- Follow-up
- Meeting
Map
We trace what happens to an enquiry today, including the parts that depend on one person noticing.
Wire
Capture and routing first — the highest-value fix is usually just nothing being dropped.
Qualify
The agent goes in once routing is reliable, so its output lands somewhere useful.
Tune
Real enquiries expose the edge cases. We adjust against actual traffic, not hypotheticals.
Built with
What this service is made of.
Interface
TypeScript
One language from the database call to the button, with the types checked at the boundary between them.
Application
Node.js
The runtime everything else assumes, and the same language the interface is written in.
Python
For the data and model work where its libraries are simply better than the alternatives.
Agents and workflows
n8n
Workflow orchestration you can read as a diagram, self-hosted where the data should not leave.
Claude and GPT APIs
Model calls for classification, drafting and qualification, always behind our own validation.
Vector search
Retrieval over your own documents, so an agent answers from your content instead of its training data.
This service in practice
Case studies
Automation — AI agents and workflows FAQs
Still have questions?The ones we get asked.
Will an AI agent talk to our clients without oversight?
Only where you want it to. The default is an agent that gathers information and drafts, with a person approving anything client-facing. Fully autonomous replies are possible for narrow, low-risk cases such as confirming an appointment, and we recommend earning that scope gradually rather than starting there.
Does this replace our CRM?
No. It writes into whatever you already use. Replacing a CRM is a migration project with its own risks, and the value here comes from the enquiry arriving in your existing system already qualified and routed — not from changing where your team works.
What happens when the automation gets something wrong?
It escalates rather than guessing. Anything the agent cannot classify confidently goes to a person with the full thread attached, and the failure is logged so the rule can be fixed. A system that fails loudly is worth more than one that fails silently and confidently.
Start with automation?
Tell us what you are trying to grow. We reply with what we would change first.