We work with AI
We build AI agents that handle real work: answering customers, sorting email, running processes, picking up the phone. Not demos. Things that run every day and save your team hours.
AI that does the work
Chat agents
An agent on your site or in your app that actually knows your business. It answers product questions, checks order status, books appointments, and hands off to a human when it should. Trained on your content, not generic web text, so it stops guessing and starts helping.
Email handling
Inboxes drown teams. We build agents that read incoming mail, sort it, draft replies in your tone, pull the right info from your systems, and flag what a person needs to see. Routine mail gets handled. The hard ones land on the right desk with context attached.
Process automation
The repetitive steps between your tools (copy this, check that, update there) get done by an agent instead of a person. Quotes, intake, data entry, follow-ups. We map the process first, then automate the parts that are safe to automate and leave the judgment calls to your people.
Voice and phone agents
A voice agent that answers the phone, understands what the caller wants, handles bookings or simple questions, and transfers to staff when needed. It works after hours and during the rush, so calls stop going to voicemail and customers stop hanging up.
Knowledge and RAG
Your manuals, policies, past tickets, and docs become something the AI can actually use. We build a knowledge layer so answers come from your real material with sources, not made-up confidence. New documents get added and the agent stays current.
AI audit and strategy
Before we build anything, we look at where AI fits and where it does not. We find the few spots where it pays off fast, flag the ones that will burn money, and give you a plan with order and priority. Honest answers, including when the answer is do nothing yet.
How we work
From the first call to live, in weeks.
Scope
We sit with your team, watch the actual work, and pick one or two processes where an agent earns its keep. You get a clear plan: what it does, where it stops, and how we measure that it worked.
Build
We build the agent on your data and connect it to your tools. We test it on real cases from your business, tune the edges, and keep a human in the loop wherever a wrong answer would cost you.
Ship
We put it live with guardrails and a clear handoff to people. You see what it handles and what it escalates. We watch the first weeks, fix what surfaces, and hand you something that keeps running.
Where this fits
Frequently asked
Will the AI make things up?
That is the first thing we engineer against. We ground answers in your own documents and data, show sources, and set the agent to say it does not know instead of guessing. Where a wrong answer is costly, a person checks before it goes out.
Do we need to replace our current tools?
No. We build on top of what you already use. The agent connects to your email, your CRM, your booking system, your docs. The goal is to make your stack work harder, not to make you start over.
What happens when the agent cannot handle something?
It hands off to a person with everything it gathered so far. We design these handoffs on purpose, so customers never hit a dead end and your team never starts from scratch. You decide where the line sits.
Is our data safe?
Your data stays yours. We are careful about what the agent can see and do, keep access scoped to what each task needs, and can run things in a setup that fits your privacy and compliance requirements. We talk this through before we build.
Let's find the work AI should be doing
Tell us where your team spends time it shouldn't. We'll tell you straight whether an agent can take it off their plate, and what it takes to ship one.
or email info@abn.company