Event
It starts with a change
The product
Your rules + live data + agents that act.
This isn't a pile of modules for this and that. It's a new operating system — your rules and your data are the kernel.
Everything connected, everything logical, everything automated — except the things that shouldn't be.
The model
From a change to the right action.
Every event runs the same path — surfaced, enriched, assessed against your rules and the regulation that applies, then acted on. Here's each step.
Signal
The event surfaces — sometimes a person reporting or escalating, sometimes only in the data flows and conversations between humans, systems and agents.
an emaila ticketa line of codea vendor request
Enrich
A signal can look like nothing. Context is everything — under the surface the implications can be huge, so we add the data, the people and the history that make it legible.
+ who & what+ data touched+ history
Assess
Seen through both your internal rules and the external regulation that applies — that's how we understand the real implications, the risk, and the right action.
internal rulesexternal regulation= the right action
Reinforce
We guide the person to the right thing, in the moment and at the level their role needs — so the right path becomes the easy path.
guide the humanin the momentrole-aware
Action
The routine gets automated and the unnecessary gets skipped — because doing the right thing also means not wasting time.
automate the routineskip the unnecessary
And it compounds. Every event Catalsy handles adds to a living knowledge layer — your rules, your decisions, your context. So each new event is assessed faster, sharper and more consistently than the last. The more it runs, the more it knows.
Running continuously, around everything
Always on, in the background.
Around every event, three things run without being asked — so awareness, alignment and the record all stay current.
Train
People can't do the right thing unless they know what right and wrong looks like. Awareness that meets each person where they work, at the level their role needs.
Communicate
Stakeholders need status and alignment. KPIs get tracked, reporting gets handled — automatically.
Document
Assessments, actions and decisions get documented. AI reasoning stays reviewable, registers and artifacts stay current.
Proactive by default
It works before anyone has to ask.
Catalsy watches the signals across your tools, assesses what matters against your rules, and acts — looping in the right person only when judgement is genuinely needed. Most of the time, no one had to ask at all. (And when they do have a question, they can just ask — same engine.)
For employees
Guided in the moment — often before a mistake, not after it.
For experts
Only real judgement calls reach them, already enriched and assessed.
For the business
Every event caught, assessed and documented — and visible.
Catalsy · detected automatically expense data
New vendor — “Acme Analytics”
Signal
A charge to a new, unreviewed SaaS vendor appeared.
Enriched
Processes customer data · involves an EU→US transfer.
Assessed
Needs a DPA and a DPIA — against GDPR and your vendor policy.
→ Action
DPA request drafted · DPIA started · routed to Security.
Awaiting one approval — Security · nobody had to spot this manually
Secure by design
Your data stays yours.
A system that sees this much has to hold itself to a higher standard. Need-to-know access, enterprise-grade data protection, and full auditability — built in, not bolted on.
Need-to-know access
Answers respect your existing permissions — information surfaced strictly on a need-to-know basis.
Data protection
Enterprise-grade security. Your data is never used to train foundation models.
Full auditability
Every question, answer, routing decision and piece of AI reasoning — logged.
Be early
See the model run
on your own change.
We're onboarding a small group of design partners.
Shape the product, get first access.