AI · Service
Custom AI Automation
We build a bespoke AI assistant for one well-defined job, such as a front-desk or call assistant, a document-processing pipeline or a lead-qualification agent, with evaluation, guardrails and a human handoff designed in from the start.
Can I move my appointment to Friday?
I can offer Friday at 10:30 or 15:00. Which works for you?
tool: calendar.find_slots · read-only
Actually, I want a refund for last week.
out of scope → handed to staff, with the conversation attached
IllustrationA narrow job, read-only tools by default, and a clean handoff for everything else.
Who is Custom AI Automation for?
For one job AI should do end to end: reception, document intake, lead qualification.
What do you get?
- A job spec: scope, allowed actions, escalation rules and success measures
- The assistant, integrated with your channels and systems
- An evaluation set, run before every change
- Monitoring for quality, cost and hand-off rate after launch
How do you know it's done?
- It passes the agreed evaluation set before it talks to a customer
- Anything outside its scope goes to a person, with context
- You can see every conversation, decision and cost
How does an engagement run?
- 01
Brief. A few minutes with our intake. Your context arrives before the call does.
- 02
Intro call. Thirty minutes. We ask the hard questions and tell you honestly whether we're the right fit.
- 03
Written scope. Scope, exclusions, milestones and a fixed price per phase, in writing, before any invoice.
- 04
Architecture. Diagrams and decision records you review and approve before the build starts.
- 05
Build. Working software on staging, demoed on a fixed cadence. You see progress, not status reports.
- 06
Handover. Code, infrastructure, docs and runbooks in your accounts. Ongoing support only if you want it.
How is it priced?
By scope. After the call you get a written scope with exclusions, milestones and a fixed price per phase. Payment follows accepted milestones. The budget range you pick in the brief isn't a quote; it helps us suggest a first phase that fits.
Which technologies do you use?
Our usual stack for Custom AI Automation. We work with yours when you have one.
- Python
- FastAPI
- LLM APIs
- Vector search
- PostgreSQL
- AWS
Custom AI Automation: questions and answers
What can a custom AI assistant do?
One well-defined job, end to end, within an agreed scope and list of allowed actions: for example front-desk or call handling, document intake, or lead qualification.
What happens when the assistant isn't sure?
It hands the conversation to a person, with the context. Anything outside its scope is escalated rather than guessed.
How do you know it's ready for customers?
It has to pass an agreed evaluation set before it talks to a customer, and that set runs again before every change. After launch we monitor quality, cost and hand-off rate.
Start a brief for Custom AI Automation.
A few questions, about three minutes. Nothing is sent until you review it and press Send, and the first call is thirty minutes to check fit, both ways.