AI Playbooks

Run Netos AI Playbooks from Claude, ChatGPT, or Copilot.

Run playbooks from Claude, ChatGPT, or Copilot through Netos MCP. Work from governed data, with your team reviewing outputs and approving changes.

Connect your AI tool to Netos.

No new assistant to adopt. Netos MCP brings governed Netos data, models, and approvals into the AI tool you already use.

  1. 01

    Your AI tool

    Use Claude, ChatGPT, or Copilot to work with Netos data inside the permissions you set.

  2. 02

    Netos MCP

    Connect Netos MCP once. Your AI tool can now query, model, and draft against Netos, inside the permissions you set.

  3. 03

    Governed data, models, and approvals

    Every answer comes from the reconciled Netos data model. Changes wait for human approval, and every step lands in the audit trail.

Three playbooks, one platform.

A risk review, a renewal, or a budget due? Start with that.

01

Finance Playbook

BoMs, renewals, invoices to cost models and business cases.

Explore the Finance Playbook →
02

Data Playbook

Spreadsheets, APIs, exports to a clean reconciled inventory.

Explore the Data Playbook →
03

Systems Playbook

Inventory and lifecycle data to refresh plans and audit packs.

Explore the Systems Playbook →

From sample data to a focused proof of value in weeks.

  1. Week 1

    Agree the outcome

    Pick a target output. Agree the data and the success criteria.

  2. Week 2

    Share sample data

    Send a non-sensitive slice. The Data Playbook imports, maps, and validates it.

  3. Week 3

    Run the playbooks

    Reconcile, enrich, model, and draft outputs against Netos from your AI tool.

  4. Week 4

    Review and decide

    Sign off the output. Agree the production path and next steps.

Who AI Playbooks are for.

Three teams, one platform. The playbooks meet each one where they are, with the outputs they need.

For the Networks team

Networks Team

Trusted inventory, lifecycle visibility, and time back from manual reconciliation, for the VP of Networks, Operations leaders, and the engineering team.

See the Networks Team page →
For the Finance team

Finance Team

Network spend mapped to assets and services, renewal exposure on a forward calendar, and supplier comparison your CFO and procurement can defend.

See the Finance Team page →
For the Business team

Business Team

Defensible business cases, scenario comparisons, and refresh roadmaps for CIOs, program directors, and PMO leaders making the call to the board.

See the Business Team page →
04

How AI Playbooks work with Netos.

Your AI tool does the asking. Netos does the knowing. Through Netos MCP, every playbook works against Netos as the shared data model, source of truth, analytics layer, reporting layer, and audit trail.

  • Data Playbook prepares and validates the foundation.
  • Finance Playbook turns trusted data into cost, renewal, and business-case outputs.
  • Systems Playbook turns inventory and lifecycle data into refresh and remediation plans.

Your teams remain in control. The playbooks accelerate the work, nothing is written back without human approval, and Netos keeps the assumptions, sources, and outputs traceable.

See how the platform works Why Netos
→

Explore AI Playbooks

Governed playbooks you run from your own AI tool, built on the Netos platform.

You are here

AI Playbooks

Your AI tool, Netos MCP, three playbooks.

Next →

Our AI Journey

The lessons baked into the playbooks.

Continue the story → Playbook

Data Playbook

Clean, reconciled inventory.

Playbook

Finance Playbook

Cost models, renewals, business cases.

Playbook

Systems Playbook

Lifecycle, refresh, audit plans.

Start with one playbook and one outcome.

Compare packages Explore the Data Playbook