Test before create
Talk to the agent against real, permitted knowledge before it exists for anyone else. Wrong tone, wrong skills, wrong scope — caught here, not in production.
You see its behaviour firstAn agent is a name, a set of instructions, and the skills you tick. No code, no pipeline, no ticket to engineering. Pick who it is for — just you, a teamspace, or the whole organisation — and it inherits that boundary the moment it exists.
Unlimited agents · no per-agent fees · created paused
Three decisions make an agent. Everything else — scope enforcement, citations, audit, budgets — comes from the platform and cannot be configured away.
Only you, a teamspace, or the organisation. A personal agent reads only what you yourself are permitted to see; a teamspace agent, only that space. Scope never adds access — an agent cannot hold broader permission than the space it lives in.
Scope narrows. It never grants.Tone, focus, and rules in plain language: “always cite the source policy; if unsure, say so.” Start from a template — concise analyst, step-by-step coach — or from a blank line.
Plain words, not prompt engineering.Each skill is one capability the agent may use. Unticked skills simply do not exist for it — an agent without Search web cannot reach the internet, whatever it is asked.
Capability by allow-list, not by default.Agents draw on a governed library of capabilities — finding and understanding your knowledge, analysing data, producing documents and presentations, and guarding what leaves. You tick what each agent may use; everything else simply does not exist for it.
Capability is granted by allow-list, never by default — and every use of every capability lands on the audit trail. The full library is part of the product walkthrough.
Creation is deliberately not activation. The builder ends in a test conversation, then review, and the agent arrives paused — visible, inspectable, and inert until someone with authority switches it on.
Talk to the agent against real, permitted knowledge before it exists for anyone else. Wrong tone, wrong skills, wrong scope — caught here, not in production.
You see its behaviour firstThe agent appears in its space with its skills, scope and instructions readable by anyone in that space. It answers nothing and runs nothing until activated.
Activation is a recorded decisionEvery question it answers and every skill it uses lands on the same audit trail as human activity — who asked, what was retrieved, what it cost.
One trail for people and agentsTeamspaces for departments, projects and standing groups, and the agents they run.
Explore use casesPlatformStage three: BuildWhere agents sit in the five-stage deployment model.
See the platformCompareWhere this fitsAssistants, enterprise search, in-house RAG and SenangAI, side by side.
See the comparisonThirty 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.