Support desks
Tickets, emails and WhatsApp answered from your own documentation, with a clean handover the moment a person is needed.
See how it works →AI & Automation
AI that finishes the job, not just answers questions.
Support desks, back-office paperwork, document handling and assistants for your own staff — trained on your information, and connected to the systems your team already uses.
What we automate
What we automate
Six things we have built more than once. Each one starts as a single workflow, proves itself on your own data, and only then earns the right to grow.
Document processing
Invoices, POs and forms read, validated against your records and filed — with a confidence score and a human check on the ones that need it.
See how it works →Internal copilots
Private search across contracts, SOPs and drawings that answers with citations and respects the permissions the asker already has.
See how it works →Workflow automation
The multi-step process that currently lives in someone’s head: triggered, executed and escalated when it hits an exception.
See how it works →Chat & voice
WhatsApp, web chat and voice in your customers’ own language, routed to a person the moment the conversation earns it.
See how it works →Data & AI readiness
The pipelines, warehouse and retrieval layer underneath. Most AI projects stall here, so we usually start here.
See how it works →Pipeline
How an agent gets to a trustworthy answer
An agent is only as good as what it can look up and what it is allowed to do. Both are engineering problems, not prompt problems.
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Ground itYour documents, tickets and records — chunked, embedded and access-controlled.
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RetrieveSemantic search returns the passages that actually answer the question, with sources.
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DecideRules first, model second — so the deterministic parts stay deterministic.
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ActThe agent writes to your CRM, ERP or inbox through the same APIs a person would.
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Hand offA confidence threshold and an approval step wherever being wrong would cost money.
Every run is logged with its sources, so you can audit why the agent said what it said.
How we deliver
What you get, every time
We prove the value before you fund the build.
Talk to an engineer- A proof of concept on your real data in 2–3 weeks
- Measured against a success metric agreed up front
- An honest build-or-buy call — we will name the tool
- Guardrails and evaluation before anything reaches a customer
- Human-in-the-loop wherever the stakes justify it
- Model-agnostic, so you are never locked to one vendor
Our process
How we work
From the workflow that annoys you most to an agent running it.
Proposal sign-up
Scope, timeline and a fixed number in writing — agreed and signed before any build starts, so nothing moves later without a conversation.
Strategy & planning
We map the workflow, the data and the money attached to it, and write down the metric.
Design & development
A working prototype on your real data. If the number is not there, you stop.
Testing & deployment
Integration, guardrails and evaluation, with a demo every week.
Support & maintenance
Monitoring, model evaluation and cost tuning after launch.
Before you ask
Questions we get asked
What can an AI agent actually do for my business?
Answer support tickets from your own documentation, read and file incoming documents, draft quotations, chase payments and surface the next best action inside your CRM — all with a human in the loop where it matters.
Will our data be used to train public models?
No. We deploy against enterprise API endpoints with training disabled, or self-hosted open models where the data cannot leave your environment at all.
How do we start without a big commitment?
With a fixed-fee proof of concept on one workflow. You get a working demo on your own data and a decision point before anything larger is signed.
Start here
One workflow. Three weeks. A number you set.
We do not sell an AI strategy. We take the single workflow that annoys you most, build an agent against your real data, and measure it against a metric you choose before we start.
Fixed feeAgreed before week one No open meter, no change requests mid-way
- 1 Week one Frame it We map the workflow, agree the metric and get access to the data.
- 2 Week two Build it An agent running against your real records. First working demo at the end of it.
- 3 Week three Measure it Against the metric you set. Go, no-go or change the shape — your call.
- A working agent on your own records, not a sandbox demo
- The success metric agreed in writing before week one
- An honest build-or-buy call — we will name the off-the-shelf tool if one fits
- Guardrails and evaluation in place before a customer ever meets it
- Everything you need to run it yourself, or to hand it to someone else
If the number is not there at the end of week three, you stop and you owe nothing further.
That happens often enough that we build the option into the contract.