Governed AI agents for infrastructure intelligence.
Data, Finance, and Systems agents help teams prepare infrastructure data, commercial evidence, and engineering decisions. The agents accelerate the work, not the judgment.
Three agents, one platform.
Start with one. Add the others when you are ready.
From sample data to a focused proof of value in weeks.
- Week 1
Agree the outcome
Pick a target output. Agents define the data and success criteria.
- Week 2
Share sample data
Send a non-sensitive slice. Data Agent imports, maps, validates.
- Week 3
Agents work the data
Reconcile, enrich, model, draft outputs against Netos.
- Week 4
Review and decide
Sign off the output. Agree the production path and next steps.
Who the AI Team is for.
Three teams, one platform. The AI Team meets each one where they are, with the outputs they need.
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 →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 →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 →How the AI Team works with Netos.
The agents do not operate outside the platform. They use Netos as the shared data model, source of truth, analytics layer, reporting layer, and audit trail.
- Data Agent prepares and validates the foundation.
- Finance Agent turns trusted data into cost, renewal, and business-case outputs.
- Systems Agent turns inventory and lifecycle data into refresh, and remediation plans.
Your teams remain in control. The agents accelerate the work, while Netos keeps the assumptions, sources, and outputs traceable.
Meet the AI Team
Explores a workflows built on the Netos platform.