Deploy one agent.
It builds the rest.
Give an agent a goal, not a script. It works the job end to end inside your systems, then tells you where the next one goes.
Thirty minutes, live. No deck, nothing pre-recorded.
Growth arrives as headcount.
The margin does not follow.
The work grows with revenue.
Every new account adds outreach, follow ups, tickets and reports. None of it is hard. All of it is manual. So you hire.
You pay senior people to do junior work.
Reps spend under 30% of their week actually selling. The expensive hour and the cheap task are the same hour.
The tools were never the bottleneck.
You already have the CRM, the data provider and the sequencer. Somebody still has to do the work. No extra licence closes that gap.
Nobody has ever read your own data.
Where deals stall. Which client costs three times what they pay. Which step eats a day a week. The answers are already in your systems, spread across a CRM, an inbox and six people's heads. Nobody has the hours to read all of it at once.
An agent that does the work and also reads the record of its own work. Krateon builds agents that log every action, measure what each one produced, and use that history to flag what is failing, retune themselves against your process, and recommend the next job worth taking off your team. A human approves every recommendation before anything changes.
If it repeats, has data, and somebody does it by hand, it has an architecture.
The industry matters far less than the shape of the work. Six job families, each one a system we can build and deploy today.
SDR, BDR, GTM engineering. Different words for the same job: find who is worth approaching, work out who decides, write for them alone, follow up, hand a human the reply.
See the system Customer supportReads what came in, answers what it can from your own documentation, routes the rest to the right person already briefed, and flags the question that keeps repeating.
See the system Quality control and coachingListens to the calls and reads the work, scores it against your standard, writes the report, and tells each person what to do more of and what to stop. Every conversation, not a sample.
See the system Research and enrichmentThe hours your team burns on tabs. Find the companies, find the people, find out what a business actually does, then write it back into your fields in a shape somebody can use.
See the system ReportingPulls from every system, reconciles where they disagree, calculates on your definitions, writes the commentary, and sends it on the day it is due. Alerts you when a number crosses a line.
See the system Internal operationsEmail handling and sending, invoices, sheets and data hygiene, client onboarding, the handoffs between your own systems, and chasing the document nobody sent.
See the systemAny job that repeats, runs on data, and has a definition of done. That is the test Krateon applies, and it is why the six families above look nothing alike but are the same build underneath. What an agent is bad at is judgment with no precedent, relationships, and anything that happens once.
The first agent tells you where the next one goes.
Every agent reads the record of its own work, then tells you where the next one should go.
Every engagement ships with the console. Work done, hours given back, cost against a hire, revenue attributed, and the next job worth solving, ranked with the reasoning. Open the console
Three steps. No pilot theatre.
We look at your operation first.
Where the hours go, which work repeats, what it costs you today, what your systems already do. You leave with a straight answer on whether an agent should own that job, including when the answer is no. Then we show you a system running and you judge the output yourself.
One job, built on your real data.
We build the agent for the single job we agreed and prove it on your live work, not in a demo environment. The last two systems we deployed were running in ten and twelve days. Fixed fee, money back if it does not do what we said it would.
It goes in, then it grows.
Into your environment, connected to the systems you already run, with documentation your team owns. Then it starts reporting: what it produced, what it learned, and which job is costing you most next.
Our figures are the two most recent deployments. Hiring benchmarks: Bridge Group, 2025.
Priced on the decision you are actually making.
Every number is a floor, and it scales with the hours and the cost the system takes off your books. Setup is always separate and never waived.
One job, scoped in writing, built on your real data and running inside two weeks. Credits into whatever comes next.
Start with the pilotOne agent, one job, owned end to end and run every day, reporting back on where the next leak is.
Book a demoMultiple agents on one control surface, across sales, support and operations, all reporting into the same view.
Book a demoA whole function, in multiple markets and languages, with dedicated build capacity.
Talk to an expertThe things people ask before they book.
What agentic AI actually is, how an agent improves itself, what it costs, how fast it deploys, and what happens to support after launch.
Pick the job you would hand over first.
Thirty minutes. We go through your operation, tell you straight whether an agent should own that job, and show you one running. If it should not, you will hear that too.
30 minutes, live. No deck, nothing pre-recorded.