Operational context
When teams get stuck working on outdated information, they end up doing the same job twice. Operational context gives them the info they need to get it Right First Time.
A quick intro
Enate is the AI orchestration platform for regulated service operations. We bring your people, processes and AI agents together in one place, with governance built in.
This page is about the knowledge underneath all of that. Because an agent is only as good as what it knows.
Two kinds of knowledge, working together
Getting something Right First Time takes two things: Rules and specifics. The rules are what's required, what's allowed, and what's just changed in the regulation. We have that base knowledge from 10 years of working inside regulated service providers, and it’s already in our platform. The specifics are focussed on what's happening with this client, this case, this request. Those come from your own data.
You need both components to run services at scale. That’s what makes Enate unique.
Grounded on known truth, not training data
Most AI tools rely on the data they were trained on, which is outdated the moment regulations change. Meanwhile, current workflow tools have no domain knowledge at all, so they can route work but they can't inform it.
Enate has both the domain knowledge and the live data. Our agents work from a continuously updated record of what's true in real-time. That means your teams get answers they can act on, rather than wrong answers that sound convincing.
Governed and logged
Why context matters in regulated industries
In most businesses, a wrong answer means a bit of rework. In regulated services, it can mean a compliance finding, a client complaint or a remediation project. When regulators ask why a decision was made, you need better reasons than “the AI said so”.
EY drove a 15% efficiency increase using task-level visibility and smarter routing.
Read the EY case study →
