The routine should not need babysitting.
We build agents that carry a process through its steps, connect the tools you already run, and keep everything in sync. Your team stays in charge of the decisions that matter.
THE GAP IS NOT BETWEEN WANTING AUTOMATION AND BUILDING IT. IT IS BETWEEN BUILDING IT AND HAVING SOMETHING THAT STILL WORKS IN A YEAR.
Which process in your operation would you automate first, and how would you know it worked?
Thirty minutes with the engineer who builds these agents. No slide deck.
Six things that are not hard, and still cost you the day.
Most teams do not lose time to one big task. They lose it to the small work in between, and every handoff is a chance for something to slip.
- 01 The same details typed into a second system, then a third
- 02 An approval sitting unread because nothing chased it
- 03 A reminder that goes out only when somebody remembers
- 04 A record updated after one step and not after the next
- 05 A task that stops moving because its owner is on leave
- 06 A manager checking items one at a time to build a picture
What goes into XtractSol workflow automation
Each automation is built around your real process, the tools you run, and the points where a person needs to stay involved. Start with one workflow or connect several.
How it works, not how it is documented
We start with the process as it actually runs, including the workarounds. That map shows where the time goes and where automation is worth doing.
Work that keeps moving
Each task carried through its steps, with approvals routed to the right person and the context attached, so nothing stalls waiting to be noticed.
Across your tools, not beside them
Most processes touch several systems. The agent reads and updates information where it lives, so nobody copies the same detail twice.
The paperwork moves too
Incoming documents read, the relevant details pulled out, and your records updated, so the document side of a process stops needing manual keying.
You decide where it stops
The agent respects your review points every time. It does the legwork and brings a clear decision, so you keep control of what counts.
See the process, not just the task
A clear view of where everything stands and where work is getting stuck, so managers act on real information instead of chasing status.
A ladder, and the gates between the rungs
Automation projects rarely fail at the build. They fail at the scope, when four workflows are committed to at once, the first one turns out to have exceptions nobody documented, and by then the budget and the goodwill are already spent.
Live from week six. Running on real volume, measured against the target agreed before the build started.
Started only after the first one held. Reuses the connections and the review pattern already proven.
Scoped during the audit and costed, but not scheduled. It waits.
Deliberately unplanned. What is worth automating in nine months is not a decision we can make today.
The gates matter more than the rungs. Each one is a real decision point where the work either proved itself or did not, and where you can stop without having committed to the next three stages. It is a slower sounding plan than automating everything at once, and it is the reason the second workflow tends to arrive faster than the first, because by then the connections, the review pattern and the trust are already there.
The agent handles the routine. Your team keeps the judgment.
Clear checkpoints, set by you, respected on every run.
Trigger
The process starts on the event you define, not on somebody noticing.
AgentGather
Information pulled from the systems the process touches.
AgentAct
Records updated and routine steps completed inside its permitted scope.
AgentApprove
Decisions reach a person, with the context attached.
Your teamContinue
The process picks up again once the decision is made.
AgentEscalate
Anything outside the rules stops and waits for a person.
Your teamTwo of the three named reasons these projects die are decided before anyone writes code
Gartner forecasts that more than forty percent of agentic AI projects will be cancelled by the end of 2027, and puts the blame in three places: escalating costs, unclear business value, and inadequate risk controls. Model capability is not on that list. Neither is engineering difficulty. Two of the three are scoping decisions, made in the first fortnight, long before anything is built.
So the audit produces a number, and the number is agreed with you. What should this workflow save, how will we know, and what would count as it not having worked. If we cannot answer those three questions honestly for a given process, that is a reason not to automate it rather than a detail to settle later. We would rather lose the second workflow than deliver a first one nobody can defend at a budget review.
An automation nobody can put a number against is the first thing cut when somebody goes looking for savings.
Built across your stack, not instead of it
The agents work in the systems your team already runs, including in house software.
Integration depth varies by platform and version. We confirm exactly what is supported for your setup during the workflow audit, including anything that cannot be connected properly.
A ladder, not a leap
We learn how your process runs, start where the value is clearest, and build in deliberate stages so you keep control the whole way.
Discovery call
The process you want to smooth out, and where the busywork and the delays pile up.
Workflow audit
The process mapped end to end, with an agreed target for what the first workflow should save.
Build and tune
Tuned on your real process and cases, so routine work runs cleanly and exceptions reach your team.
Go live, then expand
Live with your checkpoints in place, measured against the target, then widened once it holds.
What kinds of workflows can you automate?
Almost any process that follows repeatable steps, particularly ones that move data between systems, send routine communications, track approvals or handle documents. The better question is which one to start with, and that is what the audit answers. We look for the workflow where the time is genuinely leaking, not the one that is easiest to demonstrate.
Will this replace our staff?
No. The agents handle the repetitive steps between tasks while your team makes the decisions. The point is to give the hours back. How you spend them, whether that is more volume with the same people or something else entirely, is your call and not ours to promise.
Does it work with the tools we already use?
Yes, and we build across your existing systems rather than replacing them. Integration depth does vary by platform and version, and some tools are easier to work with than others. We map exactly how it connects during the audit and tell you then if something in your stack cannot be reached properly.
How will we know whether it actually worked?
We agree what success looks like in numbers before the build starts, then measure against it. That sounds obvious and it is frequently skipped, which is one reason automation projects get quietly abandoned. If the first workflow does not clear the bar we agreed, we say so rather than moving on to the next one.
What happens when the process changes?
Processes change, so the automation is built to be adjusted rather than rebuilt. Rules and routing are configuration rather than something buried in code, and we keep tracking performance after launch so drift is caught while it is still small.
What does it cost?
A build fee for the first workflow plus a monthly fee to run and maintain it. You get a firm number after the workflow audit, before you commit to anything, and if the workflow is not worth automating we will tell you then.
Ready to get started?
Book a free discovery call and we will map how agentic AI can fit your workflows.