Automation runs the task.
The agent owns the process.
An AI agent understands, decides, and acts — it analyzes the number, reviews the contract, checks the entry — running 24/7, with human approval where it matters. For the price of one hire, without the time off.
From task robot
to owner of the process
Follows the rule it was programmed with
Interprets the context and decides the next step
Runs the task and stops
Owns the process from start to finish
Tells you something happened
Explains what happened, why, and what to do
Breaks when the case is off-pattern
Handles the exception — or escalates to a human to decide
The two complete each other: automation handles the repetitive; the agent takes on what used to need someone reading, checking, and deciding.
Agents that are ready to work
Three families of agents we deliver — each shaped to your process, your systems, and your format.
Analytics & reporting
- KPI analyst — not just the number, the read on it
- Reports that write themselves — weekly, in your format
- Anomaly investigator — detects, digs in, sums up the cause
- Quote comparator — reads proposals and points to the best
Documents & knowledge
- Questions to your documents — contracts, manuals, policies
- Contract reviewer — flags the clause that’s off-standard
- File classifier — extracts, names, and files
- Regulatory digest — only what affects your business
Technical work
- Reconciliation — finds and explains the discrepancy
- Data audit — cross-checks sources, lists inconsistencies
- Process monitor — interprets progress, not just alerts
- Spreadsheet cleanup — cleans, cross-checks, comments
Map, build, operate
The same path as automation — with one extra step of care: defining what the agent decides on its own and what goes through you.
We map
Together we pick the right process for the first agent — repetitive, costly, with rules that need interpretation.
We build
The agent learns your context: your systems, your documents, your format. With human approval where it matters.
We operate
It runs 24/7 monitored by us, with a record of what it did and why — and evolves alongside the business.
Which process would you hand to an agent?
Talk to us: in the mapping we find the right process for the first agent together and get back to you the same business day — no commitment.
What people usually ask
What’s the difference between automation and an AI agent?
Automation follows a fixed rule: if X happens, do Y — and it breaks when the case falls outside the pattern. An AI agent interprets the context: it reads the document, understands the number, decides the next step, and explains what it did and why. In practice, automation runs one task and stops; the agent owns the process from start to finish, handling the exceptions or escalating to a human when needed. It’s the difference between a robot that presses a button and someone who takes on a responsibility.
Does the agent decide everything on its own?
No — and that’s exactly the important part. Where the decision carries weight, the flow has human approval: the agent prepares, recommends, and waits for your OK before acting. You define upfront what it can resolve on its own (the repetitive, the low-risk) and what always goes through a person. That way you get the speed of automation without giving up control where it truly matters.
Do I need to be technical to use it?
No. We handle the technical side end to end: we map the process with you, build the agent, connect it to the systems and documents you already use, and run it day to day. You don’t write rules, you don’t touch code, and you don’t need to hire an IT team. Your job is to say which process hurts and to validate whether the result solves it — the rest is on us.
How does the agent learn the way I work?
During mapping and building, the agent is shaped to your context: your systems, your documents, your report format, your business rules. It doesn’t show up generic — it shows up knowing how things work in your operation. And it keeps evolving: as it runs, we tune its behavior based on what you approve, correct, or ask for differently. The more it operates, the more it’s dialed in to your way of working.
What if the agent makes a mistake?
Every agent runs monitored by us, with a record of what it did and why — so each step can be audited. When something goes wrong, it becomes a behavior adjustment, not a problem that repeats every week. And critical decisions always keep human approval, so an agent’s mistake doesn’t turn into an irreversible action on its own. The goal isn’t an infallible system: it’s a transparent one, kept under control.
Does it work with the systems and tools I already use?
In most cases, yes. The agent connects to what you already have — ERP, e-commerce, spreadsheets, email, your documents — instead of demanding you switch tools. We confirm that compatibility right at the mapping stage, before any building, so there are no surprises later. And where a direct integration isn’t possible, there’s almost always an alternative path we design together with you.
How long until the first agent is running?
We deliver in stages, so the first agent starts returning value quickly — instead of you waiting months for one giant project. We start with a well-defined process, put it live, you validate it in the real world, and from there we expand. The exact timeline depends on the complexity of the process, but the logic is always the same: deliver something useful early and build on top of what’s already working.
How much does it cost?
Pricing is by scope, based on the process the agent takes over and the complexity involved — with the AI usage cost already included in the monthly fee, no surprise bill at the end of the month. It all starts with mapping, which comes with no commitment: that’s where we find the right process for the first agent and show the expected gain before you decide anything. You see the return before you spend.