Talis Intelligence is an operating intelligence platform for businesses of 30 to 200 people. Four everyday apps record how the work runs, so you can understand, improve and automate it.
Purchase approvals? Same day, usually.Said in a process interview
Most small and medium businesses have never written down how they really work. It lives in meetings, task lists, purchase requests and the heads of the people doing it. Talis starts from the evidence of the work, not recollections of it.
Process mining, workflow tools and AI automation already exist. Where Talis differs is the starting point: apps a small business finds useful on day one, which gather the evidence while the team just works. It is not fully passive. Your people use the apps and agree to what is captured.
What the business decides
Echo captures meetings: the decisions, the commitments, the follow-ups and the reasons people give for why something happened. It is where the informal logic of a business shows up, the part that never reaches a procedure manual.
What the business does
GreenCard captures tasks, owners, deadlines and actual completion, plus approvals and sign-offs. It shows the handoffs and the gap between the plan and what got done.
How the business purchases
Penny captures purchase requests, approvals, orders, suppliers and receiving. It shows the approval paths you actually have, and where work stops to wait for materials.
How the business moves resources
Ledger captures inventory movements, bills of materials, work orders, assembly and quality records: the physical side of the work.
Each of the four is useful on its own from the first day, before any intelligence layer is switched on. Talis also runs other modules on the same shared context, such as Basecamp, Harold, Merlin and Orbit.
What Talis is building toward
Together, the four apps can give a continuously updated, evidence-based picture of how the business operates: who did what, when, why, what it depended on, who approved it and how it turned out. That connected layer is the direction Talis is building and validating. The apps that feed it are in use today.
In that order, with a person approving
The approach: first see what actually happens, through process discovery, bottlenecks, recurring patterns and exceptions. Then rank what should change. Managers approve recommended actions first. Only steps that have proven reliable and low-risk are automated later.
Most small and medium businesses are not going to hire someone to build agent integrations, maintain workflows and deploy AI safely. Even an owner who sees the potential may not know where to begin.
You run your business through useful apps and approve the changes Talis recommends. No coding.
A deployment is a fixed, measurable engagement rather than an open-ended AI project.
Put the selected apps to work and set a baseline of how things run now.
Reconstruct the workflows, check the findings with the people who do the work, and find the bottlenecks.
Switch on two or three approved automations and measure what they change.
Monitor, improve and expand.
An instrument is only worth reading if people trust it. These are design principles, and the reason employees adopt the apps.
Every conclusion traces back to the evidence behind it, with timestamps, where it came from and how certain it is. What was observed is kept apart from what was inferred, and employees have a way to correct it.
No covert monitoring. No requirement to document every action. Recording consent is transparent, access is by role, and the point is improving the process, not watching individuals.
Work done outside the Talis apps is invisible to it, and meeting transcripts can be wrong. Talis says so rather than filling the gap with a guess.
Anyone who did the work can challenge an inference.
A repeatable way to deliver AI transformation to small and medium businesses, without rebuilding the technical platform for every client or opening each engagement with months of process documentation.
Deploy Talis, observe the actual workflows, validate the opportunities with the client's team, then introduce automation you can measure.
You should not have to explain how your company works before you can use AI. Talis helps you discover it, by making everyday work easier.