The Operations Runtime for IT systems.

Intent, live system state, work, execution, evidence, and verification — in one place. For the everyday operational load and the larger projects running across your live IT systems.

DNS Record Change, on the runtimeStanding work and planned work, one runtime →

Identity

Okta
SailPoint
Entra
•••

Cloud

AWS
Azure
GCP
•••

Security

CrowdStrike
Wiz
Palo Alto
•••

Data Platforms

Snowflake
Databricks
ClickHouse
•••

Networking

Cisco
Juniper
Aruba
•••

IT work breaks in the gaps — design starts blind, execution fragments, operationalization comes late.

Panaptico owns the operation end-to-end — intent, live state, work, execution, evidence.

From shipping new systems to keeping live ones healthy — every kind of IT work.

In implementation mode — every change rehearsed, pre-flighted, and shipped with proof.

In operational mode — every outcome met, and staying met.

A new interface for work on IT systems. Design. Build. Operationalize. Iterate.

How it works

Every operation inherits a workspace
built for its outcomes.

Kick off a migration, a hardening pass, or a standing posture watch — Panaptico generates a workspace wired to the systems it touches. Live posture, KPIs against declared targets, a remediation queue, and how far the outcomes have converged. One place that owns the operation end-to-end.

Operations workspace
Live

Workforce Identity Hygiene & Offboarding Operations Workspace

Posture score
61
needs attention
KPIs breaching
4
of 9 tracked
Remediation queue
11
6 urgent / high
Outcome convergence
44%
8 outcomes
Operational pulse
Offboarding SLA (≤ 24h)
92%
target 100%
Dormant accounts (90d+)
41
target 0
MFA coverage, workforce apps
94%
target 100%
Standing admin grants
12 roles
target 4
JML automation coverage
100%
target 100%
Groups with no owner
3
target 0

Click through the surfaces — every one reads and writes the same operation. Nothing lives in a side doc.

The loop, in eight primitives.
One model. One language. One system.

Experiments, System Sensor, Work Items, Operational Pulse, System Outcomes, Posture Continuity, Runbooks, and Incidents aren’t modules glued together — they’re one system speaking one language. The synchronization is the product.

Experiments

Design changes as falsifiable hypotheses — observation checks, parameter checks, controlled trials. Every experiment declares its blast radius, guards, reversibility, and rollback before it touches a live system. Prove the change in a proving ground, then promote it to real work.

System Sensor

The CMDB, evolved. Always-on sensors read the live estate field by field — current state against target state, drift the moment it opens. A graph of relationships, ownerships, and dependencies answers the question legacy CMDBs never could: what breaks if we touch this?

Work Items

The atomic unit of operational work — and the evolution of the ticket. A work item carries its intent, the systems it touches, its dependencies, a live state map from current to target, and the humans and agents executing it. It doesn't describe the work — it is the work.

Operational Pulse

The heartbeat of every workspace. Domain KPIs tracked against explicit targets and thresholds, breaches surfaced the moment they open, posture trend over time — and every breach one click from becoming a work item.

System Outcomes

The definition of done. Every workspace declares its end-states up front; Panaptico verifies each one against the live environment and keeps reconciling after go-live. A project is done when every declared outcome is met — and stays met.

Posture Continuity

Every proven-good configuration, captured. When drift lands — and it always does — recovery is one reconcile away, not an archaeology project. Recoverability becomes a score you can read, not a hope.

Runbooks & Workflows

Procedures as step-runnable node canvases, automation written in natural language. The Systems Architect lays out the nodes and writes each step's code; operators run them with approval gates between; detection-and-response fires on demand or on a schedule. Every run fully audited.

Incidents

When sensors catch drift, deviation, or failure, the incident arrives with full context — what changed, what depends on it, who owns it — and flows straight into work items for remediation. Detection to fix to verification, one closed loop.

What runs on Panaptico

From a DNS change to a datacenter exit.
Same runtime, same evidence, same proof.

Standing operational work is the heart of it — access, certs, patching, devices, DNS, mail, drift remediation. The bigger planned projects — migrations, deployments, upgrades — run on the same primitives, against the same live system graph.

  • Rotate expiring certs across the estate
  • Offboard a leaver across every system
  • Patch the production fleet
  • Harden SPF, DKIM, and DMARC
  • Reconcile Conditional Access policies
  • Migrate VMware to Proxmox
  • Decommission a stale server safely
  • Roll out MFA to every workforce app

Live system intelligence

See the systems. Forecast the change. Run with proof.

System Sensor
12 categories · 2,395 res
Servers on vulnerable OS versions
184 res · 23 below patch baseline
Action
87%
S3 buckets internet-facing
412 res · 6 publicly readable
Action
98%
TLS certificates expiring < 14 days
318 res · 9 unrotated
Review
97%
Storage volumes above 85% capacity
61 res · 14 over threshold
In progress
77%
Endpoints missing EDR sensor
1,420 res · 11 unenrolled
In progress
99%

Watch every system in real time

System Sensor tracks every resource an operation depends on. Current state vs. target state, drift, alerts, and last reconciliation — for every record, every minute.

ExperimentsControlled trial
SPF hardening flip — panaptico.com ~all → -all
Hypothesis: moving the apex SPF record to hard-fail causes zero loss of legitimate mail.
12
Steps
~80m
Observation
3
Guards
5
Preconditions
Blast radiusMapped — 2 zones, 1 sending path
ReversibilitySingle-record revert
RollbackPre-state captured

Rehearse the change before it lands

Experiments turn a change into a falsifiable hypothesis. Blast radius, guards, preconditions, and rollback are declared before anything touches a live system — then the trial runs in a proving ground.

Predicted future-state twinPre-flight
60
Convergence to target
134 of 144 checks · est. close in 4 phases
Cross-system impacts
Email auth
13 records+11
Permission grants
23 grants+8
DNS zones
11 zones+5

Predict the future state before you ship

Run a future-state twin before a single command lands. See convergence to target, cross-system impacts, and the findings that need attention first.

Agent settingsGuardrails
Restricted mode
Pause every tool call for approval
Provider restrictions
AWSPause for approval
CloudflareAuto-run
Microsoft GraphReview first
Auto revisions
Pause architect-proposed edits for review

Govern the agents that run the work

Agent Settings hold the rules — restricted mode, per-provider action policies, scoped memory, and required reviews. Agents only do what they're explicitly allowed to.

Implementation Checklist
M365 Email Hardening & Datadog SIEM
5 / 147 phases
1
Phase 1: Authority, Ownership, Permission
3 / 3 tasks
complete
2
Phase 2: Sender Inventory & DNS Hardening
2 / 4 tasks
in progress
3
Phase 3: Courtesy Routing & DNS Pipeline
0 / 3 tasks
4
Phase 4: M365 & Datadog SIEM Ingestion
0 / 4 tasks

Track every phase to verified done

Every initiative gets a numbered phase plan with owners, tasks, and evidence. Steps close only when the live environment confirms the outcome.

System Outcomes
Reconciling
6 of 9end-states met · 74% converged
Met
6
In progress
2
Pending
1
Regressed
0
Last reconciled 4m ago — outcomes stay verified after go-live.

Done means it stays done

System Outcomes hold the definition of done. Every workspace declares its end-states; Panaptico verifies them against the live environment and keeps reconciling after go-live.

Runbooks
5 procedures · 88 runs
Harden new S3 bucket deployment
7 steps · ran 2h ago · 14 runs
Active
Cost-efficient cluster deployment
9 steps · ran 1d ago · 6 runs
Active
Safely decommission a stale system
5 steps · ran 4h ago · 21 runs
Active
Validate user permissions across systems
6 steps · ran 18m ago · 47 runs
Active
Failover a region
8 steps · drafted just now
Draft

Encode procedures as runnable canvases

Runbooks turn an operational procedure — hardening a bucket, deploying a cost-efficient cluster, decommissioning a system, validating permissions — into a top-to-bottom node graph. The Architect writes each step's code, the operator runs them with approval gates between, every run fully audited.

Define the work

Start with a design.
Scale to the work.

Implementation Studio takes a goal and generates the numbered phase plan, task list, owners, and evidence requirements for any initiative.

MIG-204/Implementation StudioDraft

Active Directory Domain Consolidation — acme.local → acme.com

Goal / Objective

Decades of acquisitions left us with three forests, two trust relationships nobody documented, and an SID history that breaks half our audit reports. We need to consolidate into a single domain without breaking the apps that still depend on the old SPNs.

Systems
Active Directory · Entra ID · Kerberos
Complexity
High
Owner
Identity Platform
Wave
Q3 → Q1
Scales to
auto-generated · GPT-5.5 xHigh
7Phases
22Tasks
16Owners
144Checks
How we're different

Why teams pick Panaptico over ServiceNow, BMC, and the stack of tools in between

ITSM tracks tickets. PPM tracks status. Monitoring tracks symptoms. Nothing holds the operation itself — so it runs on handoffs, hallway decisions, and heroics. Panaptico owns the operation end-to-end: connected to live systems, governed by approvals, verified against declared outcomes.

ServiceNow · BMC · Freshservice · Jira
Panaptico · Operations Workspace
Every operation starts blind — state lives in stale CMDBs, spreadsheets, and people's heads
System Sensor reads the live estate — current vs. target, field by field
The first full test of the change is production
Experiments rehearse it first — blast radius, guards, and rollback declared up front
Tracks tickets, never touches the environment
Work items are wired to real systems — live state maps, not status fields
Stops at 'assigned' — humans chase execution by hand
Agents execute bounded changes inside your approvals and guardrails
Tickets close without evidence — 'done' means someone said so
Done means outcomes verified — met, and staying met across reconciliations
Drifts from reality the day after go-live
Posture Continuity captures proven-good state — drift is one reconcile from recovery