Plan & Execute
Governed work,
generated from the graph
Gaps between current and target state turn into ordered tasks with owners, dependencies, approvals, and generated artifacts. Panaptico runs bounded changes against live systems and captures evidence on every step — so the rollout never drifts from the plan.
Decompose
The plan is a software artifact, not a slide deck
Every task carries an owner, a dependency chain, an SLA, the evidence it needs to complete, and the generated artifacts that execute it. The plan stays live — edits to scope flow through to sequencing automatically.
74
12
3
Rolling Upgrade + Compensating Controls
Deploy controls first for immediate coverage, then systematic upgrade.
Action queue, not a task dump
Panaptico collapses the 74 underlying work items into high-level actions aligned to how the org actually executes. One action might cover dozens of resources.
ROI-ranked sequencing
Tasks are ordered by what reduces risk fastest with the least disruption, grounded in live business criticality and blast radius.
Filter your way
View by team, by wave, by SLA, or by severity. Focus on what matters right now without losing the rest of the plan.
Sequence
Playbooks, graded against your environment
Panaptico compares valid execution paths against your compliance posture, blast radius tolerance, and historical outcomes. The recommended playbook leads; alternatives stay visible so decisions are auditable.
Deploy network controls first for immediate protection, then systematic upgrade per wave.
Direct upgrade without interim controls. Shorter timeline, longer risk window.
Stand up target environment alongside source; swap DNS at cutover gate.
Generate
Artifacts generated, grounded, reviewable
Terraform modules, IAM policies, ServiceNow change requests, Ansible runbooks — generated from the playbook, grounded in live environment state, and always reviewable before anything executes.
1# Generated from: Rolling Upgrade Playbook v32# Grounded in: AWS Account 4572, SOC2 compliance profile34resource "aws_autoscaling_group" "prod_api" {5 name = "prod-api-wave2"6 min_size = 127 max_size = 248 health_check_grace_period = 3009 launch_template {10 id = aws_launch_template.upgraded.id11 version = "$Latest"12 }13 instance_refresh {14 strategy = "Rolling"15 preferences {16 min_healthy_percentage = 9017 }18 }19}
Every line has provenance
The source playbook, the grounding environment, the policies checked — all attached. Reviews aren't archaeology; they're a diff.
Dry-run before approval
Artifacts validate against live state before a human ever sees them. Conflicts, drift, and policy violations surface in the artifact card itself.
Nothing executes unsigned
Approvals are gates on real things — change records, runbook signoffs, CAB minutes — not ceremonial checkboxes.
Execute
Bounded changes, evidence on every step
Execution is bounded by scope, wave, and approval. Each step runs against a dry-run validation, collects evidence automatically, and reconciles against the graph after completion — so the plan and reality never go out of sync.
Parallelize
Parallel streams with real dependencies
Work flows in parallel where it can, serializes where it must. The dependency graph is live — if a prerequisite drifts, downstream tasks block automatically until the graph reconciles.
Live, not a Gantt
Dependency edges reflect real graph relationships, not a static diagram. When a resource drifts, downstream tasks block without manual triage.
Parallel where safe
Panaptico parallelizes aggressively on independent streams — access, infra, evidence — and serializes only where true dependencies demand it.
Blast radius bounded by wave
Each wave caps what can change at once. Approvals run per wave, so no single mistake can cascade across the rollout.
The rollout as a software problem
One graph, one plan, governed execution, evidence on every step. That's what makes the implementation repeatable.