AI agents that do multi-step work, inside limits you set
We automate work that spans several systems, with a written boundary on what the agent may do and a clear route to a person when it should not.
How much authority are you willing to give software over your own operations? Answer that first, and the rest of the design follows.
the boundary we design first
Before an agent gets a single tool, we write down what it may do, what it may never do, and who it wakes up when it is unsure. That document is the product. Teams that skip it end up with software holding permissions nobody granted deliberately, discovered only when something goes wrong in a way that is hard to explain.
what these agents actually do
- Triage an incoming ticket, gather the context around it, and draft the reply for review
- Chase a missing document across systems until it arrives or a person is told
- Reconcile two records that disagree and flag the ones a human must settle
- Run a recurring check overnight and open the exceptions as work for the morning
where the agent must stop
- Anything that moves money, or changes what a customer is charged
- Anything that contacts a customer in your name without review
- Anything it has not seen before, where confidence is low and the cost of being wrong is not
- Anything touching records it was never given permission to read
what happens at three in the morning
Automation earns its keep outside office hours, which is also when nobody is watching. So the failure path matters more than the happy path. Work stops in a state a human can read, the queue does not silently swallow the task, and the person who picks it up in the morning can see what was attempted and why it halted.
when this fits
The work repeats, crosses several systems, and today waits on somebody remembering to do it.
It is one judgement call made rarely, where a checklist and a named owner would cost far less.
what you get
- The written boundary document, which is the thing you approve before we build
- One named owner for the workflow, agreed on paper rather than assumed
- An escalation route that reaches a person, not a shared inbox
- A log a non-engineer can read to reconstruct what the agent did
- A documented way to switch it off without taking the rest of the workflow down
the automation we refuse
We will not build an agent whose actions cannot be reconstructed afterwards. If you could not explain a decision to the customer it affected, you should not have automated it.
what people ask before starting ai agents & automation
Are agents actually reliable enough for real work?
Inside a narrow boundary with constrained tools and a working escalation path, yes. Given broad autonomy and no supervision, no. The boundary is what makes the difference.
Will this replace the tools we already use?
Usually not. The agent coordinates the systems your team already trusts. Replacing a tool people know is a separate decision with its own cost.
Can we require approval before it acts?
Yes, and you should for anything consequential. Gates can depend on the action, the value, the confidence, or whether a customer is affected.
How is agent work priced?
By the boundary rather than by the hour. We agree what the agent may do unattended, and price the stage that gets it there safely.
Tell us which workflow is slow, and who does it today.