PDO and operator guidance
Explain approved onboarding steps, terminology and required information, then route account-specific questions to the right team.
AI-assisted PM-WANI and WiFi support in India
Nanovise applies its PM-WANI and managed WiFi experience to AI-assisted support workflows. Agents can help explain approved processes, collect diagnostic details, retrieve knowledge and route issues—but network operations, account decisions and compliance responsibilities remain with authorised people and systems.
PM-WANI participants, hotspot operators, venue teams and subscribers ask different questions. Some need onboarding guidance, others need help with access, plans, authentication, device connectivity or an operational incident. A useful agent first identifies the user and context rather than presenting the same generic troubleshooting steps to everyone.
Nanovise can scope a support assistant around approved PM-WANI, Guest WiFi and product knowledge. Where a platform or network tool offers suitable APIs, the workflow may retrieve permitted status or prepare a ticket. It should never invent subscriber, payment, session or compliance information when the authoritative system is unavailable.
The assistant can improve intake and knowledge access while the responsible support or operations team retains control.
Explain approved onboarding steps, terminology and required information, then route account-specific questions to the right team.
Clarify location, device, login stage and symptoms before offering safe guidance or creating a handoff.
Collect site, equipment and impact details and attach available status evidence to an operations ticket.
Retrieve approved setup, troubleshooting or escalation instructions with sources for technicians and coordinators.
The agent gathers consistent evidence and uses authoritative status only when an approved connection exists.
An AI support agent should distinguish general guidance from live account or service facts.
Assess permitted status or onboarding data only through approved interfaces and roles.
Use available site or device health signals to enrich triage, without treating one signal as a diagnosis.
Create a structured ticket with user context, attempted steps and relevant technical evidence.
Retrieve approved product, WiFi, installation and support guidance with source links where appropriate.
An assistant can explain approved information and improve issue intake, but it should escalate outages, suspected security incidents, disputed transactions, account restrictions and policy exceptions. Logs and summaries should contain only the data needed for support, and users should be told when a case is recorded rather than resolved.
Select subscribers, PDOs, venue teams or field staff and one support goal.
Define approved knowledge, status sources, identity checks and escalation owners.
Include outages, wrong sites, missing accounts, device variation and unavailable tools.
Measure triage accuracy, safe guidance, ticket quality and successful human routing.
An AI agent can explain approved onboarding or support information, identify the user’s role and issue, collect structured evidence and route account-specific or operational cases to the responsible team.
It can use permitted monitoring or status data when a validated integration exists, but one signal may not establish the cause. Outages and uncertain technical incidents should be escalated to network operations.
Only if the authoritative system provides an approved interface and the workflow has appropriate permissions, identity checks and data-minimisation controls. The agent should not guess when access is unavailable.
No. A scoped assistant may support PDO or operator onboarding, venue WiFi teams, field technicians or managed Guest WiFi users. Each audience needs different knowledge, permissions and escalation paths.
Network outages, security concerns, disputed transactions, account restrictions, regulatory or compliance questions and exceptions outside approved guidance should move to an authorised team.
Nanovise can help define the audience, approved knowledge, authoritative status, evidence, escalation team and evaluation cases for a bounded support-agent pilot.