Panaptico uses AI to turn your requirements into executable verification code you can review. It runs that code against telemetry and records from your existing tools, flags deviations and degraded outcomes, and keeps the evidence behind each result.
What’s true right nowUp to date
Every verification, worst first, re-run on its own schedule.
Verification
State
Health
30 days
A closed deal becomes an invoice within 15 minutes
Check
Month-end close jobs finish in order before 06:00
Trace
Every customer-facing certificate renews 30 days ahead
Sweep
Chrome security policy changes don't break browsing for employees
Delta
Policy change: DownloadRestrictions set to block dangerous files · Tue 09:00 · 2,140 browsers
Week before → week afterPages load without a policy block
99.4%→99.3%
Required extensions install
98.1%→98.0%
Downloads blocked, mostly Finance
0.4%→6.8%
Sign-in prompts per person, daily
1.1→1.2
Temporal activities complete without retries piling up
Check
Endpoint vulnerability patches don't break devices or the network
Trace
Identity
Cloud
Endpoints & Devices
Data Platforms
Networking
Identity, cloud, devices, networks, and data, plus the business systems that depend on them, like Oracle and Workday.
Continuous Operational Verification
Define how your systems and processes should work. Panaptico uses the telemetry and records from your existing tools to check whether those conditions hold every day. See where outcomes are degrading, steps are being missed, or a change is affecting something downstream.
Does this condition hold?
A Check tests a single condition: a database has a backup from the last 24 hours, a certificate has at least 30 days left, or a refund over $500 has approval. Panaptico evaluates the rule against your system records and shows whether it holds.
Check · every hour · Salesforce to Oracle
A closed deal has an invoice within 15 minutes
Read the closed deal record
OPP-58213, Closed Won at 10:00
Read the billing reference
Order reference 77310, customer AC-2048
Find the matching order in Oracle
…
Evaluate the 15-minute invoice deadline
…
Attach the invoice record
…
Save the result and source records
WaitingWhy it failed
Oracle’s invoicing job has been paused since Tuesday’s patch
ExpectedInvoice within 15 min
ObservedNo invoice
Last passedTuesday, 18:00
Also affected37 orders, $412k
Fix
Resume the invoicing schedule, then re-run the 37 orders
Last 14 runs
hourlyFailing for 4 hours. Nobody had noticed.
Describe the requirement. AI turns it into executable verification code, using the records and telemetry in your connected tools.
Every verification states what it proves and what it cannot establish, so nobody reads more into a pass than it earned.
Review the generated logic, data sources, and scope. Choose when it runs, then publish it.
Each run keeps what it observed, how long it took, and whether it held, so any result can be replayed and explained.
System & Environment Quality Analysis
Most teams can’t say which of their critical processes are verified and which are assumed. Panaptico maps every system you connect, proposes what should be verified, and shows exactly where coverage stops.
Coverage Map · from a read-only scan
What's proven, and what nobody has checked yet
2,221
Catalogued
124
Mapped
99
Proposed
38
Built
29
Proven
Biggest gap
61 proposed verifications nobody has built yet
Most are in Microsoft 365 licensing and Okta leavers.
A read-only scan proposes every verification your systems deserve, then shows how far each got: catalogued, mapped, proposed, built, proven. The biggest gap is always named.
Bring coverage together around what the business needs to do: Employee Onboarding, Data Backup, Month-End Close. Each domain shows its people, its assets, and what's still missing.
Most verifications run in a hosted sandbox. When one depends on where it runs, it can run on a machine you already have, inside your own network.
Operating priorities
Verify backup evidence, replication health, restore-path freshness, failover capacity, and the dependencies behind recovery.
See SweepsTrack the resources expected in scope, compare live provider state with declared targets, and keep missing coverage or stale evidence visible.
See the Coverage MapSee exhausted headroom, fragile dependencies, and backup paths that looked redundant but are not.
See Cloud & ComputeKeep each conclusion tied to its evaluated scope, target condition, coverage, freshness, definition, evidence, and full state history.
See ChecksBaseline the system before migration or modernization, then compare behavior, dependencies, data, and service outcomes through the transition.
See Cloud & ComputeVerify the configuration, coverage, and relationships that define a healthy system, all evaluated together. Tailscale is one example: every device, person, access rule, and key, checked as one.
See system-quality assuranceRecovery assurance
billing-db-prod01 · tier-1
2 gaps8 of 8 production databases reported inside the 24h window
Standby within declared RPO of 30 seconds
Last successful restore test exceeds the 30-day freshness window
Standby sizing has no current evidence, so it's treated as Unknown
41 days
since the last successful restore proof
8 / 8
backups inside the 24h window
How it works
Describe what should happen. AI drafts the verification code. You review and publish it, and Panaptico keeps running it against your data.
A backup must be less than 24 hours old. A contractor must lose access within four hours of leaving. Define the condition, who or what it applies to, and the deadline.
Read the documentationDomain · Intent
Billing Platform Can Be Recovered
Definition · v1Declared outcome
The billing platform can be restored within its declared RPO, with restore proof never older than 30 days.
Required conditions
8
production databases in scope
30d
restore-proof freshness window
What Panaptico checks, what it reads, and how it fits alongside the tools you already run.
That your systems and processes work the way you defined them to. A contractor's access is fully revoked when their contract ends. The nightly backup completes and meets its recovery target. A configuration change leaves dependent services working. You describe the expected behaviour, and Panaptico checks it every day against what your existing tools record.
A Check tests one condition, such as whether a refund over $500 has approval. A Sweep applies that condition to every refund in a chosen period. A Trace follows each refund from request through approval to payment, checking the steps and deadlines. A Delta checks whether a policy change had its intended effect and whether the related processes still work.
Monitoring tells you a service is up or a metric crossed a threshold. Panaptico tells you whether the outcome is right: the backup ran and is restorable, every leaver lost access, a change didn't slow a job two systems away. It reads from the monitoring and logging tools you already have instead of replacing them.
A CMDB records what you have. A compliance tool records what you've attested to. Panaptico checks whether things actually work the way you defined, using live telemetry, and shows plainly where it couldn't tell.
AI turns the requirements you describe into executable verification code and identifies the data it needs. You review the logic before publishing. Panaptico then runs that published logic on a schedule and keeps the results, source records, and definition version so you can investigate failures and changes over time.
No. Panaptico reads telemetry, logs, and records from the tools you connect. It does not write to, reconfigure, or act on those systems. When something isn't working as intended, it shows you what and where, and your team decides what to do.
The result shows as Unknown. Panaptico never carries forward the last good reading or assumes a pass, so a gap in telemetry stays visible instead of hiding a problem.
No. Start with one process you can't afford to get wrong, like offboarding or nightly backups, and add more from there.
You can start by describing a requirement in plain language or choosing a template. Panaptico drafts the verification code and shows which data it will use. You review it before publishing, and engineers can inspect the generated logic when needed.
Every result links to the data it was based on, when that data was collected, and the version of the logic that judged it. Deployment and data residency are set up with each customer.
Describe a condition your operations depend on. Panaptico drafts the verification code, runs it against your existing data, and shows you when the result changes.