AI automation and agents
Agents and workflows that take repeated work off your team, with a person approving what matters and every result checked.
What we automate
Routine questions answered from your own information; anything unusual goes to a person.
A person: Approves replies before they go out, and handles every escalation.
New leads are checked against your criteria so sales time goes where it counts.
A person: Sales chooses who to call; the agent only prepares.
Bookings and changes handled in conversation, without double-booking.
A person: Staff set the rules and can change any booking.
Invoices and forms read, checked and entered, with doubtful fields sent for review.
A person: Reviews low-confidence fields before anything is posted.
Routine operational decisions prepared for a quick yes or no.
A person: A manager approves every order.
One change in one system reaches every system that needs it, once.
A person: Gets a short report of anything that failed and why.
See it run
What starts it, what the agent does, where a decision is made, which systems it touches and how the result is checked.
Complete: result verified/ customer enquiries
Illustrative example, not a live system
Step 1 of 5: trigger
A message arrives
A customer writes through the website form or by email.
Systems it works with
Where a person decides
Approves replies before they go out, and handles every escalation.
Routine questions answered from your own information; anything unusual goes to a person.
Illustrative example of the kind of workflow AI Techbom builds. It is not a live system and the steps are not connected to real accounts.
How we build them
They are the rules Manager Relay, an AI product we built, runs on, and the ones we would build your workflow on.
Agents draft and prepare. Anything that commits your business waits for a yes.
A step only counts as done once the result has been checked in the system it changed.
Failures are retried only where they can recover, with protection against duplicates.
What is covered
Agents and workflows that take repeated work off your team, with a person approving what matters and every result checked.
In our work
Manager Relay drafts with AI, waits for a person to approve, and verifies posts where the network supports it.
AI Techbom product / social publishing and automation
Manager Relay adapts one idea for six social networks, routes each version for approval, and schedules publishing. Teams can verify posts where networks allow and build automations with human approval steps.
AI Techbom product / pharmacy operations and pos
Vevilo runs the pharmacy counter, tracks medicine batches and expiry dates, and powers a branded online store from one stock record. The desktop till can keep selling through an internet outage.
Repeated work with rules you can write down: answering routine customer enquiries, qualifying leads, handling appointments, reading and entering invoices and forms, preparing operational decisions and keeping systems in sync. We check any idea against your real process before promising it.
Not for anything that commits your business. Agents draft and prepare, and a person approves what matters. Doubtful items are sent for review rather than guessed. We design for that rather than promise that an agent never makes a mistake.
A step only counts as done once the result has been checked in the system it changed. Manager Relay marks a post verified after the network confirms it.
That is the usual case. A workflow typically touches systems such as an inbox, a CRM, a calendar or accounting software. We look at your actual tools first and tell you plainly what connects and what does not.
No. It is an illustrative example of the kind of workflow we build and is not connected to real accounts. The Manager Relay walkthrough shows the publishing workflow with simulated social accounts.
It depends on the workflow, so we do not publish a price list or a standard timeline. After a first conversation we write a staged plan, starting with the one workflow that will help most.
Tell us the task, how often it happens and the tools it touches. We will tell you honestly whether it is worth automating.
Discuss AI automation