AI WORKFLOW DISCOVERY AGENT
Your AI pilot didn't stall because AI can't do the work.
See exactly where AI fits in your business in 5 minutes.
How it works
Three steps from one workflow to a ranked list of AI opportunities.
You describe the work. The agent breaks it into steps, tags each one, and shows you which opportunities are worth building first.
STEP 1
You describe one workflow.
Talk to the agent or type it in. A short description is enough to start, and the agent asks the follow-ups.
Step 2
The agent breaks it into steps.
What triggers it, who does it, where the data lives. The busywork and the judgment calls, side by side.
Export invoice list from ERP
Match payments to invoices
Approve write-offs
Re-key into dashboard
Flag overdue accounts…
Step 3
Each step is tagged M, P, or J.
Mechanical, pattern, or judgment. Each kind of work gets a different action.
M
Mechanical
Copy, re-key, format
- Automate fully
P
Pattern
Match, classify, score
- AI-assist
P
Judgment
Approvals, exceptions
- STAYS HUMAN
57%
work hours
are already within reach of existing technology, according to McKinsey. The real question is which 57% of yours.
M · Mechanical
P · Pattern
J · Judgment
Every workflow splits into three kinds of work. The agent automates the mechanical,
supports the pattern work, and leaves the judgment with your people.
The exact split shows up in your own report.
Why it won't stall again
Built to earn trust before it ever goes live.
The agent earns its place before it goes live.
We test the agent on your real cases first, off to the side, until it consistently meets a quality bar you set. It only touches live work once it has proven it can.
Your team stays in charge.
The agent does the legwork and brings the work to your people to approve. Nothing goes ahead until a person says yes, and it never runs fully on its own.
Your data never leaves your control.
The agent works inside your own systems. We take only the access we need, keep everything encrypted, and log every action, in line with your rules.
No padded timelines.
Most first builds are working in 2 to 4 weeks, not a stretched-out quarter. We price the build from the real work and confirm the cost before you spend anything.
Turn your AI opportunities into a plan you can act on.
One 30-minute call with a tkxel practitioner, and you walk away with what we'll build, what it costs, and the first pilot to run.
Frequently asked questions
Any step that is a real decision with consequences, the kind you would have to defend to a regulator, a customer, or your board. Approving an exception, deciding a write-off, holding a key account. AI can prepare these, but a person decides. Getting that line right is what separates a pilot that scales from one that stalls.
Almost always because a judgment step was handed to the model. It gets the messy cases wrong, the team stops trusting it, and the pilot quietly dies. The technology is rarely the problem. The design is.
Yes. Describe it in plain language or a rough sketch, no documents or system access needed. There is no signup, and no one from tkxel sees what you type unless you choose to book a session. The map is yours to keep and act on alone.
Break one workflow into steps and look at the thinking each one takes. Copying, matching, and classifying are where AI earns its keep. Real decisions stay with people. The assessment does this for you and ranks what is worth doing first.
No. The repeatable work around a decision gets automated, the decision itself stays human. The result is capacity handed back to your team, measured as freed time, fewer errors, or faster cycles, not a headcount cut.
Both follow the build, so there is no fixed calendar or sticker price. A small, clean build often ships in 2 to 4 weeks. Cost comes back as three honest ranges, build, run, and adoption, confirmed by the delivery team before you commit. The assessment itself is free.
It runs in shadow alongside your team first and has to clear a set accuracy bar on your real cases. Until then a person approves every action. Nothing goes live on its own until the numbers hold.
There is none. You describe one workflow, you get your map, you act on it. If it is useful and you want to go further, a tkxel practitioner can turn it into a fundable pilot. That is an option, never a requirement.
