Enterprise AIthat provesits work.
Ask across every tool your company runs. ClosingLoop answers with citations, takes the action, and watches the real world until the fix is proven.
The loop, running
PR #2214 mergedRead-back matches the approved diff.Verified
INC-2213 created in JiraLinked to Answer #4,812. Human approved.ApprovedWorks with the tools you already run
Reads with your permissions. Writes with approval. Watches until the fix holds.
Discord
Slack
Grafana
Google DriveJira
Docker
Databricks
AWS
Notion
Stripe
Zoom
MongoDB
Zendesk
Datadog
Linear
Cloudflare
TwilioGitHub
FigmaJira
Snowflake
HubSpot
Salesforce
Miro
GitLab
Canva
Auth0
Gmail
Dropbox
PagerDuty
Airtable
Zapier
ServiceNow
Postman
Trello
Jenkins
Confluence
ClickUp
Box
Sentry
Okta
Bitbucket
Asana
Mailchimp
SharePointThe loop runs where your team already talks.
Slack, Teams, or the app. The question starts anywhere and runs the same pipeline, with the same citations and the same approvals.
Slack#payments-alerts
@ClosingLoop why are webhook 500s spiking since last night's deploy?
TeamsPayments reliability
@ClosingLoop webhooks are failing after the deploy. what broke?
ClosingLoopAsk AI in the app
@ClosingLoop what changed in payments last night?
CLOne verified answer Cited
Deploy #482 switched webhook signatures to SHA-256. The worker still validates SHA-1, so deliveries fail closed.
Deploy #482payments-runbookSentry #88123
Approve fix · INC-2213Open answersame pipeline, wherever it was asked
Don't trust the model. Verify the work.
Copilots learn from clicks, so answers that sound good win. ClosingLoop links every answer to the real ticket, alert, or deal behind it and watches what happens next. Here is the same outage, tracked over three days.
Both systems give the same answer.
Search-first copilot
“Restart the worker.”
97% confident
No source. No watch. No idea what happened next.
Failed 3 days agostill being servedClosingLoop Answer assembled
“Restart the worker.”
97% confident
One sounds right. It is the same words at the same confidence, and it has been wrong for three days.
One is tied to reality. Same words, but every step is on the record, so when it fails you know.
Illustrative. Your own record comes from your outcomes.
Why this compounds
Most AI answers and forgets. ClosingLoop remembers what happened next. Every proven fix, every failure, every repair makes the next answer better.
01Acted-on answers are recorded.
02Reality marks them proven or failed.
03Results reprice the sources.
04The next ask starts smarter.
That memory cannot be copied by indexing your documents. It only comes from running the loop.
Answers get verified.
Knowledge gets maintained.
The loop learns how long truth lasts in your company, repairs docs before they mislead anyone, and stands behind every answer someone acts on. Watch the live Outcomes surface do it.
The loop learns how long each class of knowledge stays true. From outcomes, not timers.
Safe enough to delegate real work.
Agents get scoped credentials, never a borrowed login. IT can audit every action.
Human approval gates
No agent touches an external system until a person approves the exact change. The fields it will write, not a summary.
Read-back verification
After execution, the target system is read back. If reality does not match the approved change, it rolls back.
Workspace isolation
Scoped credentials per workspace, never a borrowed login. Encrypted at rest and in transit. SSO, MFA, and passkeys built in.
Complete audit trail
Every answer, approval, action, and outcome is attributable and replayable. IT can audit the whole loop.
Bring the question your team keeps re-answering.
Show us one real workflow. In 30 minutes we connect the tool, answer with verified citations, and close the loop on a real outcome.
- 30 minutes with the founders
- One real workflow, no deck
- Leave with a loop closed on your own data