Turn network inventory into evidence-backed engineering action.
From Claude, ChatGPT, or Copilot, build refresh plans and audit evidence from inventory and lifecycle data. Engineers stay in control.
Built for engineers who need evidence, not guesses.
The Systems Playbook helps prepare the analysis, but engineers remain in control of the decision. Every lifecycle finding, refresh recommendation, and remediation plan should be traceable back to source inventory, lifecycle data, support status, assumptions, and business context.
Built for network engineering.
Built for
Network engineers, architects, operations teams, VP Networks.
Delivers
Inventory and lifecycle data converted into risk, refresh, remediation, and audit outputs.
Inputs
Inventory, lifecycle data, topology, support status, vendor data, project requirements, risk constraints.
Example workflows.
Three of the most common Systems Playbook jobs. Start with one.
Lifecycle risk report
Identify devices approaching end-of-support, group them by vendor, site, business criticality, and exposure, then prioritize remediation.
Refresh roadmap
Turn lifecycle risk into phased refresh waves aligned to budget cycles, operational risk, and delivery constraints.
Engineering-to-finance handoff
Create the technical basis for the Finance Playbook to build a costed business case or supplier comparison.
What you get out.
- Lifecycle risk reports prioritized by exposure
- Phased refresh roadmaps aligned to budget cycles
- Costed remediation plans with sequencing
- Vendor and technical option comparison packs
- Audit-ready evidence for lifecycle and compliance
Engineering keeps control. Every finding is sourced, every assumption visible, and every recommendation traceable.
How the Systems Playbook works with Netos.
The Systems Playbook runs from your own AI tool, Claude, ChatGPT, or Copilot, through Netos MCP. It works against the Netos platform: the data model, source of truth, analytics layer, reporting environment, and audit trail.
The playbook prepares lifecycle, refresh, and remediation analysis, while engineering keeps control of assumptions, sequencing, and the decision.
What the Systems Playbook delivers
Lifecycle decisions you can defend, with engineers in control.
- Inventory baseline
- Lifecycle and EoX feeds
- Configuration and change records
- Monitoring and tooling data
- Vendor and support contracts
- Validate inventory against monitoring
- Flag unsupported and high-risk assets
- Sequence refresh waves
- Trace every recommendation to source
- Generate audit-ready evidence
- Unsupported device list
- Refresh sequencing plan
- Technical validation report
- Change justification pack
- Audit-ready evidence
Explore AI Playbooks
Governed playbooks you run from your own AI tool, built on the Netos platform.
AI Playbooks
Your AI tool, Netos MCP, three playbooks.
Continue the story → BackgroundOur AI Journey
The lessons baked into the playbooks.
PlaybookData Playbook
Clean, reconciled inventory.
PlaybookFinance Playbook
Cost models, renewals, business cases.
You are hereSystems Playbook
Lifecycle, refresh, audit plans.