Seat-based software
You're paying for logins.
That makes sense for tools where each person gets their own workspace. CRM, design tools, project management - the value is tied to the individual using it.
commercial model
Stop counting heads. Start buying capability.
Most software charges per person. AI agents don't work like that. Praxis Agents are shared capacity - one system your whole team builds on. No per-head pricing. No licence negotiations every time you hire.
the short version
Seat-based pricing makes sense for individual tools. But agents work across your team, so the economics are different.
Seat-based software
That makes sense for tools where each person gets their own workspace. CRM, design tools, project management - the value is tied to the individual using it.
Praxis Agents
The system sits across your team. It handles work, remembers decisions, and keeps things moving. The value isn't in who logs in - it's in what the business gets out of it.
What changes for people
When the repeatable stuff is handled reliably, people spend less time chasing and more time on the things that actually need a human - decisions, relationships, exceptions.
comparison
Seat pricing works when each person gets their own tool. Agents are different - they sit underneath the team, handling work that crosses people and functions.
The biggest wins don't come from one person using one interface. They come from how work gets prepared, handed off, checked, and followed through - across the whole team.
What you're paying for
A login for each person
A shared layer that the whole team benefits from
What grows the bill
Headcount - more people, more licences
Usage - more work through the system, more infrastructure
Where the value shows up
One person using one tool
Better handoffs, fewer dropped balls, more consistent output across the business
When someone leaves
The tool stays, but a lot of the working knowledge walks out the door
The instructions, workflows, and decisions stay with the company
continuity
The real advantage isn't raw automation. It's that instructions, workflows, and past decisions don't have to be rebuilt from scratch every time someone leaves or a project changes hands.
This matters commercially because the value compounds. You're not just getting output today - you're keeping the operational knowledge that normally ends up scattered across inboxes, documents, and people's heads.
New starter? They inherit a working system. Someone leaves? The structure stays. That's capacity, not a seat.
where it pays off
If you're measuring this by how much time one person saves, you're looking at the wrong thing.
Work doesn't need to be re-explained every time it moves between teams. The context travels with it.
New starters inherit a working system, not a folder of documents and tribal knowledge that takes months to absorb.
The same standards, checks, and processes run every time - not just when the right person happens to remember.
More people benefit from the same system without every new hire triggering another licence negotiation.
human work
Agents pick up the repeatable stuff so your team has more room for the work that actually needs them.
Humans focus on
Agents support with