From one repetitive workflow to a working agent

A chatbot waits for a message and produces text. An agent starts from an event, reads context out of your systems, performs a sequence of actions in real tools, and either finishes the job or hands it to a person. The visible difference is that after an agent runs, something in your business has changed.

No, and we would advise against it. Agents are built to work inside the tools you already run. Replacing your CRM in order to automate follow-up is a much larger, much riskier project than the one you were trying to do.

It stops and escalates with everything it gathered. Agents are explicitly built to prefer handing over to guessing, because in a business process a wrong confident action is far more expensive than a delay.

Yes, and for many workflows that is the right starting configuration. The agent prepares, a person approves, and the approval step is removed later only for the action types that have proven reliable.

Usually the one that is high volume, rule-based and boring — not the most impressive one. The best first agent is a workflow your team runs many times a week, where the cost of doing it manually is easy to calculate.

The assessment is a short fixed engagement, and it ends with a written recommendation you can take elsewhere if you want to. Building the first agent is priced per workflow once we know how many systems it touches and how clean the access is — which is exactly what the assessment establishes. We do not quote before that, because a number produced without seeing the process is either padded or wrong.

It depends on how many systems are involved and how clean the access is. A single-workflow agent on tools with decent APIs is a matter of weeks, not quarters. We will give you a real estimate after the assessment, not before it.

It replaces tasks, not people — and specifically the tasks nobody was hired to enjoy. What we consistently see is teams handling more volume with the same headcount and spending their time on the parts of the job that need a person. If your goal is a headcount cut, we are the wrong partner: those projects fail because the people who understand the process stop wanting it to work.

Because we agree the measure before we build: how many times the workflow runs, how long it used to take, how often it now completes without a person. If the number does not move, that is a finding, not something to explain away.

Yes. That is usually the entire point — the expensive workflows are the ones that cross systems, which is exactly where people are currently acting as the integration layer.

No. Your data is used to do your work. We configure model access so business content is not retained for training, and we tell you exactly which providers are involved in any workflow before it goes live.