The sovereign AI platform, stage by stage.
The platform is organised as five capabilities — connect, understand, build, govern, scale. Each is something you can inspect in an evaluation. They are not a gated install sequence, and they are not a claim that every organisation needs all five on day one.
Approved sources, with their permissions intact.
Connecting a source does not flatten it. SenangAI reads the permissions that already exist in the system of record and carries them through, so a document restricted to the legal team stays restricted here. You decide which sources are approved; anything not connected is simply absent rather than half-available.
Organisational memory, built as a knowledge graph.
Your knowledge becomes a living map of nodes and edges — people, projects, decisions, contracts and obligations, connected as they actually relate. That is why “why” and “who decided” have answers here: the connection is the answer, and it arrives with its sources. It finds meaning, not just matching words, and it speaks in your organisation’s own terms — which is also why agents act reliably here: they work from how your business actually connects, not from loose text.
Agents, workflows and automation — built, not coded.
Skills compose into agents; agents and approval steps compose into workflows; workflows on triggers and schedules become automation. All of it is assembled by the person who understands the work rather than the person who can write code — and all of it is created paused, inside the scope of the space it lives in.
One console for models, budgets, scopes and evidence.
You register which models are permitted to run, and nothing else runs — not as a fallback, not under load. Within that set, routing keeps cost down automatically, and every choice is recorded. Budgets are enforced at organisation and person level rather than reported after the fact, and the audit trail is produced as work happens.
The same controls, wherever you run it.
Sovereignty follows governance. On-premises, private cloud and hosted deployments share one control model, so the boundaries you designed during an evaluation do not have to be redesigned when you move. The knowledge layer moves with you; it is not rebuilt.
The missing layer is knowledge, not compute.
Sovereign compute and sovereign models already exist. Institutional applications stay blocked until knowledge is governed — scoped, cited, approvable and auditable. That layer is SenangAI. Custom skills live on it: written procedures, authored by the people who own the work, so an agent follows a process rather than inventing one.
Four outcomes, continuously.
These are not features to switch on. They are what the five stages produce once the platform is running, and what disappears the moment an ungoverned tool is introduced beside it.
Everything you already work in.
Documents, drives, intranets, mailboxes, chat, wikis, databases, services and repositories — one governed intake for all of it, so knowledge arrives with its permissions rather than despite them.
One intake, every ecosystem
Documents, cloud drives, productivity suites, mail, chat, wikis, databases, code and the public web — plus a custom route for anything with an interface.
If your teams use it, it can feed the platform.Permissions inherited, then enforced
The permissions that exist in the source system carry through, and scope is checked before every answer. Connecting a source never widens who can see what it holds.
Connect without expanding access.Always in step with the source
When content or permissions change in the source system, the change follows here. And every answer cites the exact version it drew on — so you can see, rather than assume, that nothing is stale.
Freshness you can verify.Not listed is not a no. The connector framework is open — internal systems, databases and APIs join through the same governed intake, scoped during the evaluation.
Do connectors preserve our permissions?
Yes. Permissions are inherited from the source system and enforced before an answer is produced — not filtered afterwards. Connecting a source never widens who can access what it holds.
Does connecting a source mean everyone can see it?
No. A connected source is available only within the scopes you map it to. Personal and teamspace boundaries apply on top, so the same platform answers differently depending on who is asking.
What happens when a source changes?
The platform follows the source of record, including permission changes. Every answer cites the version it used, and deleting a document removes everything connected to it.
What if our system is not listed?
Ask. The framework is open, and internal databases, services and custom sources join through the same governed intake — scoped and agreed during the evaluation, before you commit to anything.
Departments, projects and standing groups — the questions they ask, and the governed answers they get.
Explore use casesAgentsHow they are builtAgents inherit their creator's scope. They cannot exceed it, and every action is recorded.
See how agents workCompareWhere this fitsAssistants, enterprise search, in-house RAG and SenangAI, side by side.
See the comparisonBring the question your organisation keeps arguing about.
Thirty minutes. We will map one use case, demonstrate scope isolation, and show the audit evidence the platform produces — or tell you plainly that you do not need us yet.