AI agents for business teams
Sigma agents don't wait to be asked. They run tasks on a schedule in the systems you already use, send you updates and come to you when a decision is needed.
Product screens on this page show sample data.
We built Sigma for our own company and use it every day. It takes on work across departments.
Tasks an agent repeats on a schedule. Every run is a chat you can open and continue; it stops and asks you when a rule says so.
Every weekday at 08:30, check new supplier invoices against purchase orders. Hold anything more than 2% off and tell me why. Ask me before emailing suppliers.
Use cases
Today an accountant opens each invoice, finds its order, compares the amounts and chases every mismatch by email.
Weekly reports · plan vs actual · order to invoice
Refunds and order status · request routing · quality checks
Contract checks · client onboarding · policy checks
Quote and discount checks · CRM updates · meeting briefs
Employee requests · access reviews · joiners and leavers
We choose the first task with you during the diagnostic. A good first task has four signs.
It takes a lot of time
People spend many hours on it every month
Mistakes are costly
An error means a wrong payment, a penalty or a lost client
The rules are clear
They fit on one page
It repeats often
At least weekly, so you see results quickly
We rethink the process with you, count what it costs today and agree how we measure the result.
You see the agent work on your own data.
We test the agent on real cases and show you the results before your team starts using it.
The agent is part of daily work. We measure the effect in money, before and after.
8 weeks is our estimate; the exact plan comes out of the diagnostic. At launch we build the first agents and connect your systems. From week 6 your team runs them and adds new ones, and we support you.
Leaders get 4.5% of revenue from AI against 0.9% for everyone else. Almost 70% of the value they expect comes from rebuilding processes, not from better tools. An assistant helps a person write and search, and the process stays the same. With Sigma, the work is rebuilt around the agent, and a person handles the exceptions.Source: BCG Applied AI Index 2026, Exhibit 1, p. 5 and p. 13; 1,330 executives surveyed.
In your own Sigma instance. We can also install Sigma inside your own environment on request, with a separate estimate.
Not yet. Security documentation and a technical review are available on request.
A person's request, a schedule, or your own systems through the API.
Not out of the box today. People work in the web app and the desktop and mobile apps, and get notifications when an agent needs them. Other channels are built on the API.
There is no public price list. The price depends on the process, and you get a fixed quote after the diagnostic.
In 1–2 weeks you get 2–3 tasks worth handing to agents, what each one costs you today, and a fixed proposal with scope, timeline and price.