A call comes in during a job and goes to voicemail. Nobody calls back until tomorrow.
AI agents that handle real operational work.
Production AI agents for businesses that can't afford to miss the work coming in.
LEADS · SCHEDULING · INTAKE · FOLLOW UP · ROUTING
Revenue leaks in the gaps between systems.
Not in strategy. In the ordinary handoffs where a request waits for a person who is busy doing something else.
A form submission sits in an inbox overnight. By morning the buyer has already booked someone else.
Every enquiry gets the same manual back and forth to find out what the job actually is.
The same details get typed again from email into a CRM, then into a calendar, then into a job sheet.
Four kinds of work, built to run unsupervised.
Custom AI agents
Agents built around a specific job in your operation. They handle it end to end, inside rules you define, with a human handoff when they hit an edge.
Process automation
The repetitive operational work that runs on somebody remembering to do it. Scheduling, follow up, intake, reporting, handled automatically instead.
Custom integrations
Connecting the tools a business already runs on, so information moves once instead of being copied between systems by hand.
Deployment and monitoring
Systems go live on your existing stack, with alerting, logging, and iteration against what actually happens once real users touch them.
The engineering decisions that decide whether it survives contact with customers.
No logos. No testimonials. Five practices every build is held to.
Defined output contract
Every agent is built against a fixed schema of what it may return and which actions it may take. It cannot invent data or reach for something it wasn't given.
An escalation path, always
The agent knows what it can't handle. When it hits that edge it hands off to a human immediately, with the full context of the conversation.
Failure is designed for
If something breaks in the middle of a conversation, the customer still gets a reply, the owner still gets alerted, and the developer still gets a stack trace.
Tested against a written runbook
Nothing goes live until it has been run through a scenario runbook, including the edge cases that only show up at 2am.
Built to plug in, not replace
Systems sit on top of the tools a business already uses. No migration project attached to a fix.
Tell us where the work is getting lost.
A short call is enough to see whether an agent is the right fix.
Book a callAutomation that takes real work off your plate.
AI agents, process automation and integrations, built around how your business already operates and held to a standard where they can run without supervision.
Most of the loss is invisible until you measure it.
of calls to small businesses go unanswered.
of callers who reach voicemail never call back.
of customers buy from the business that responds first.
more likely to reach a lead when you respond within 5 minutes rather than 30.
a week the average employee spends moving data between emails, documents and systems.
of workers spend at least a quarter of their week on manual, repetitive tasks.
Systems that take a piece of work and handle it end to end.
An agent is given a defined job, the boundaries it may act within, and the tools it may use. It reads what comes in, decides what to do, does it, and hands off to a person the moment something falls outside its remit.
- Built around one job in your operation, not a general purpose assistant
- Acts inside the tools you already use rather than a new dashboard
- Runs within a fixed contract of what it may return and what it may do
- Escalates to a human with full context when it reaches its edge
- Available at any hour, at whatever volume comes in
The work that only happens because someone remembers to do it.
Anything with a clear trigger and a clear outcome can be made to run on its own. The recurring, rule based work that eats hours every week and adds nothing when it is done well, only cost when it is missed.
- Triggered by real events in your systems, not a schedule someone has to watch
- Handles the ordinary path automatically and flags the exceptions
- Logs every run so you can see what happened and when
- Fails safely, with an alert, rather than silently
Enter it once. It ends up everywhere it needs to be.
Most businesses already have the right tools. What they lack is the connective tissue between them, so the same information gets copied from one to the next by hand. We build that layer.
- Connects the systems you already run on, in both directions where it matters
- Uses proper APIs where they exist and careful automation where they do not
- Retries, logs and alerts on every failure path
- Built as its own layer, so it can be extended or swapped without a rebuild
Whatever the shape, the same bar applies.
It has to be dependable enough that you can put it in front of your own customers and walk away.
- A written scope and a fixed deliverable before work starts
- Tested against a scenario runbook before anything touches a customer
- Deployed on your existing stack with monitoring in place
- Reviewed and tuned against what actually happens once it is live
Four steps. A fixed deliverable at the end of each.
Nothing touches a customer until it has been tested against the situations it will actually meet.
Map where the work is being lost
A short call. We look at how enquiries, bookings and internal handoffs move today, and find the specific points where things wait, get typed twice, or drop.
A scoped build with a fixed deliverable
One system, one job, written down before work starts: what it takes in, what it may return, what it may do, and where it hands off to a person.
Testing against real scenarios
Every line of the runbook is run. The normal cases, the awkward ones, and the edge cases that only show up at 2am. Failure paths are exercised, not assumed.
Deploy, monitor, iterate
It goes live on the tools you already use. We watch it, you get alerts on anything that escalates, and we tune it against what real customers actually do.
Most businesses don't need an AI strategy.
They need a specific piece of work handled reliably. That gap is the whole focus.
Why Tellisol exists
The expensive problems in most businesses aren't strategic. They're a call that went to voicemail, a form that sat overnight, a booking that never got confirmed. Small, repeated, and costly precisely because nobody has time to fix them.
We build agents that take one of those jobs and handle it end to end. Not a platform, not a roadmap. A piece of work that used to get dropped and now doesn't.
What "custom" means here
A system built around how a business already operates: its channels, its calendar, its CRM, the questions its staff actually ask a new enquiry.
Not a template with the logo swapped out. The reusable part is the engineering underneath; the behaviour is written for you.
The standard
Every build has to be dependable enough that a business can put it in front of its own customers unsupervised.
That is why agents run inside an output contract, why every one has an escalation path, why failure is designed for, and why nothing ships before the runbook passes. The standard isn't "it works in the demo." It's "it works at 2am when nobody is watching."
What we don't do
- Dashboards nobody opens.
- AI added where a simpler fix would work.
- Projects that need a full time operator to keep running.
- Systems that replace the tools you already use instead of connecting them.
If that sounds like the right standard, talk to us.
A short call is enough to tell whether there's a fit.
Book a callTell us where the work is getting lost.
The fastest route is a call. If you'd rather write, the form goes straight to us.
Book a short call
Twenty minutes to walk through how enquiries and handoffs move today, and whether an agent is the right fix.
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