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QpiAI Agent Hive

Network change blueprint

Plan the change. Check the result.

See how Agent Hive can help engineers plan, run and verify a network change without giving up control.

See the workflow
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This is an anonymized solution blueprint. It explains a proposed workflow and architecture, not a completed deployment or measured customer results.

Start with the evidence your team already trusts.

The request, network state, vendor rules and service data stay in their existing systems. Agent Hive connects the relevant pieces for this change.

Existing systems
ITSMThe request, scope and approvals
OSS and NMSInventory and current state
Performance and alarmsService health before and after
AutomationApproved change and rollback actions
Telecom domain layer
Vendor rulesWhat each software version supports
Network modelSites, cells and what they depend on
Change policyWho approves, when to run and when to recover
Agent Hive platform
Enterprise ContextOne working case with its sources attached
Specialist agentsValidate, generate, assure and recover
What happens next
Engineer reviewCheck, edit, approve or reject
Approved network actionSchedule and run the change
Verified service resultComplete the change or roll it back

A change is not finished when the command runs.

The workflow closes only after service data confirms the result, or an approved rollback restores the network.

  1. Request

    Read what was approved

    Start with the target, scope, maintenance window and rollback plan.

  2. Context

    Build the network picture

    Pull in current state, recent changes, vendor rules, licences and service health.

  3. Checks

    Test the plan

    Look for missing dependencies, unsupported combinations and policy exceptions.

  4. Execution

    Prepare the change

    Create target-specific commands, the schedule and clear recovery instructions.

  5. Assurance

    Watch the result

    Compare KPIs and alarms after the change with the agreed baseline.

  6. Recovery

    Finish or roll back

    Keep a verified result, or run the approved rollback and check the network again.

The record stays complete. The request, sources, checks, approvals, actions and service result stay together.

Engineers keep the final say.

Some changes can move quickly. Others need a specialist. These four checks make that distinction clear before the workflow begins.

Show your work Engineers can open the source, proposed action, policy check and execution record behind a recommendation.

Before execution

Has the right person approved it?

The accountable engineer can change, approve or reject the proposed action.

When something does not fit

Does this case need a specialist?

Missing prerequisites and unsupported combinations go to expert review.

When evidence is thin

Do we know enough to proceed?

Your team sets the point where uncertainty stops the workflow and asks for help.

When service gets worse

Who can authorize the rollback?

Service limits and change policy determine when and by whom the change can be reversed.

Learn from each change without turning mistakes into rules.

Test on representative cases, review the evidence and let specialists decide what is safe to reuse.

Realistic cases

Test the situations your team sees

Include normal changes, missing evidence, vendor differences and rollback conditions.

Before release

Check the answer and its evidence

Review the validation, supporting sources, policy handling and proposed action.

Expert review

Decide what is safe to reuse

Specialists accept, correct or reject proposed rules and templates.

Controlled update

Use only what was approved

The next workflow uses a clear version with the evidence behind it.

This blueprint comes from a proposed operating model. Production limits, acceptance criteria and measurable outcomes still need to be agreed and tested with the customer.

Decide where it runs and what it can touch.

The workflow can run in a customer data centre or private cloud. Each environment gets its own connectivity, identity, model access and execution rights.

Customer data centre

Keep Agent Hive close to the network.

Connect to ITSM, OSS, NMS and automation inside the customer-controlled boundary.

  • Your identity and role controls
  • Approved read and execution connectors
  • Evidence and change history kept locally
Private cloud

Use a private cloud with controlled access.

Connect through approved network paths and choose which models each agent may use.

  • Private tenancy and network controls
  • Model access set by agent role
  • One place for traces and evaluation

Make it specific to your network

Turn one of your changes into a working brief.

Bring the source systems, vendor rules, approval points, service checks and deployment requirements for a workflow your team already runs.

We’ll use your details only to respond to this request.