Every insight has an evidence trail.
AI that can't show its work doesn't belong in your organization's decisions. Everview is built so that trust is inspectable — in the answers, in the permissions, in the deployment, and in what the AI is allowed to do.
Permissions: mirrored, not managed
Everview doesn't ask you to rebuild your access model. Permissions are read from your source systems — per user, at load — and travel with the data through the graph. If you can't see it in Jira, you can't see it in Everview: not on the canvas, not in the panel, not in an Ask Ever answer.
Workspaces let you curate presentation for different audiences — what a leadership board shows versus a team board. Curation is never the security boundary; the graph's permission labels are.
Provenance: audit the reasoning
Every answer, brief, and intervention candidate traces to its sources — tickets, PRs, commits, conversations. Expand the trail and verify. If the system can't ground a claim, it says so rather than inventing one.
AI restraint: suggest, explain, wait
No AI action mutates your execution state without explicit approval. Agents and copilots in Everview operate behind approval gates and scoped consent — proposals are simulated, explained, and applied only when a human says so. The audit trail records what was proposed, by what, approved by whom.
Deployment: four modes, your choice of perimeter
- Everview Cloud— the fastest path, managed by us, connected to the cloud providers you already use.
- Self-hosted or private cloud— Everview runs inside your own perimeter, with egress to the cloud providers you already use. The derived execution graph stays inside your perimeter; raw work data stays in those providers.
- Air-gapped with on-premises providers— the complete system as a Docker deployment inside your network, reading from on-premises tooling such as Jira Data Center. No telemetry leaves your environment.
- Air-gapped standalone— no external provider at all: the work itself lives natively in Everview, inside your network. Built for organizations where "cloud" is not an answer.
One pairing does not exist: Azure DevOps Services is a cloud-only product, so it runs with Everview Cloud or a self-hosted Everview that can reach dev.azure.com — it is the one connector an air-gapped deployment cannot use.
Your data
Your data is never used to train external models. Two-way sync means your existing tools remain the system of record — Everview reads, understands, and writes back only what you approve.
Compliance
SOC 2 and GDPR compliance are in progress. We'll publish certifications here when complete — not before. For security questionnaires, documentation, and current status, contact us or see Detailed policies & documents.