AI agents
Somebody in your office
is still re-keying invoices by hand.
Customer questions, purchase orders, the quarterly tax pack. We design AI agents and automated pipelines that take that work off a person’s desk, and we wire them so you can see what they did and why.
- Customer support that knows when to stopWhat we automateWatching
- Procurement, from request to purchase orderWhat we automateWatching
- Tax compliance paperworkWhat we automateWatching
- Multi-agent systems, when one isn’t enoughWhat we automateWatching
- Pipelines with no AI in them at allWhat we automateWatching
- A log of every decisionWhat we automateWatching
Foothills Digital—Sentrello Premier Partner
- AWS
- Azure
- Google Cloud
- DigitalOcean
- On-premises Linux
- On-premises Windows
Every one of our people holds active certifications on the platforms they work on.
Sentrello is our only partnership. On the clouds, it's our people who hold the certifications. We don't claim a partner tier, and we'll keep saying so until that changes.
Where this usually starts
The busywork has a shape, and you already know it
Ask anyone in the business which hour of their week they’d hand away first. They answer before you’ve finished the question.
- Your inbox gets the same eleven questions about delivery times every Monday.
- A purchase order needs three approvals, and two of the approvers are on a plane.
- Sales tax lives in a spreadsheet only one person understands, and she’s on leave in April.
- The chatbot you tried answered confidently and wrongly, so somebody switched it off.
- Orders get typed from one system into another because the two have never been introduced.
What we do instead
We build the agent, then we build the fence round it
An agent that can act needs limits it can’t talk its way past. So ours get a narrow job, the tools for that job and nothing else, and a person’s sign-off wherever money or a customer is on the line. When one agent would be juggling, we split the work across several and have each check the last one’s output. Every step is written to a log you can read. That’s how you find out it’s working, rather than taking our word for it.
How it works
How an automation gets built
Five stages. You’re in the room for the first and the fourth.
Sit with the people doing it now
We watch the task done by hand, exceptions and all. The exceptions are where an automation earns its keep or falls over, and nobody remembers them until they’re asked.
Draw the line between agent and person
Which decisions software can make alone, which need a human to approve, and which it should never touch. That line is written down before any code is.
Build it against your real systems
Your helpdesk, your accounting package, your supplier portal. The agent goes through the same doors your staff use, with its own credentials and the narrowest permissions that still let it finish.
Run it beside your team first
For a while it drafts and a person sends. You compare its work with your team’s on live cases, and it graduates only when the two stop disagreeing.
Hand it the work, and keep watching
Once it’s live, every action lands in a log and every failure raises an alert. Suppliers change and tax rules change, so when the task moves we move the agent with it.
What we automate
Customer support that knows when to stop
An agent answers from your own policies and order history, and passes the conversation to a person the moment it’s unsure. The whole thread goes with it, so your customer never starts again.
Procurement, from request to purchase order
Requests checked against budget and preferred suppliers, quotes gathered, approvals chased. Your approver gets one message holding everything needed to say yes.
Tax compliance paperwork
Transactions pulled and categorised, the filing pack assembled well ahead of the deadline. Your accountant still signs it off. What changes is that they start from a draft instead of a shoebox.
Multi-agent systems, when one isn’t enough
Some jobs split naturally into gathering and checking. We build those as separate agents with separate permissions, so the one that writes never marks its own homework.
Pipelines with no AI in them at all
Plenty of automation is a scheduled job moving data from one place to another. If that’s the right tool, it’s what you get, and it costs less to run.
A log of every decision
What the agent saw and what it did, with the rule that allowed it. When someone asks why a supplier got paid on Tuesday, the answer is a search away.
Related
Managed AI Services & Support
Ongoing monitoring, maintenance, security and scaling for the AI systems you’ve deployed and the small-business stack they sit on. The aim is simple: notice the answers getting worse before a customer does.
AI Consulting & Strategy
We find the handful of uses that would pay for themselves in your business, then write the rules and the roadmap that keep them safe. Sometimes the honest answer is ‘not yet’, and you’ll hear it from us.
Application Development
A two-screen booking tool or the system your whole company runs on. One team from the first whiteboard to the fortieth patch, so nobody inherits code they’ve never seen.
Which job would you hand over first?
One task, roughly how often it happens, and which systems it touches.
Send us that and we’ll tell you whether it suits an agent or a plain scheduled pipeline. Sometimes the script wins, and when it does we’ll say so.
- What we arePlan, create, launch, maintain
- What we areSentrello Premier Partner
- What we areEvery quote written for you