Telecom & Utilities

AI coworkers for large-scale, mission-critical operations

Improve service reliability, reduce operational bottlenecks, and stay compliant with AI coworkers that execute telecom and utility workflows across customers, networks, and internal teams in real time.

Loved by professionals from 1000+ large and small brands around the worlds

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The sharpest and most capable AI agents in the market

The Challenge

Telecom and utility providers operate at massive scale with strict service-level commitments and regulatory oversight. Customer requests, service incidents, network operations, and compliance processes are spread across siloed systems and teams. When outages, billing issues, or service changes occur, coordination breaks down. Manual workflows slow resolution, increase operational cost, and expose the organization to regulatory and reputational risk. The challenge is not lack of systems. It is lack of coordinated execution.

+

55%

Faster resolution of outages and service incidents

+

45%

Reduction in manual coordination across ops and support teams

+

30%

Reduction in SLA breaches through proactive monitoring and escalation

Use Cases

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Resolve outages and incidents faster

Automatically gather incident context, affected customers, network data, and prior actions to coordinate resolution, draft communications, and track progress across teams.

Handle high-volume service requests at scale

Automate internal requests, cross-team handoffs, and reporting so operations teams focus on resolution, not coordination.

Embed compliance into daily operations

Ensure regulatory requirements, approval rules, and reporting obligations are enforced automatically as part of normal workflows, without slowing down execution.

Integrated with the most popular softwares

ServiceNow, Salesforce, Zendesk, Oracle, SAP, Slack, Microsoft Teams, SharePoint, Google Drive, network management systems, billing platforms, CRM, internal operational tools, regulatory reporting systems, internal APIs

Klart AI is integrated to all company tools, like Confluence, Zendesk, JIRA, Google Drive, OneDrive and more.

AI in Action

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Telecom & Utilities

Service request handling

Klart AI processes high-volume customer requests related to service changes, billing, and account updates.

Outage and incident support

Assist teams during incidents by gathering context, drafting customer communications, and tracking resolution steps.

Account and subscription changes

Execute plan changes, cancellations, and updates across systems while enforcing business rules.

Regulatory and reporting support

Prepare structured data and summaries for regulatory reporting and internal reviews.

Operations

End-to-end workflow execution

AI coworkers execute repeatable business processes across tools, from request intake to final system updates, following your rules and approvals.

Internal request automation

Handle internal requests from teams, route them to the right workflow, gather context, and complete actions or escalate when needed.

Operational exception handling

Detect when workflows fall outside defined rules and escalate to humans with full context and recommended next steps.

Vendor and partner coordination

Draft communications, follow up automatically, track responses, and update internal systems without manual back-and-forth.
User interface of Klarty virtual assistant showing a monthly report workflow setup with tasks from Google Sheets, an option to activate workflow, connected data sources including Google Sheets, Notion, Airtable, and task automation for Jira, Google Sheets, and Slack.

Customer Support

Ticket deflection

Resolve repetitive tickets autonomously and route complex cases to the right teams with full customer context.

Accelerated case resolution

Pre-draft responses using internal documentation, similar past cases, and recent product changes.

Knowledge base automation

Turn resolved tickets and internal decisions into up-to-date help articles and internal documentation.

CSAT insights

Analyze customer conversations to identify recurring issues, documentation gaps, and drivers of CSAT changes.
Customer support chat interface showing agent Lyra confirming an order return and refund for damaged item #48392 with validation and notification steps completed.

Marketing & Content

Campaign content generation

Generate structured, on-brand content for campaigns, product launches, and customer communications.

Content localization at scale

Adapt content across markets while preserving terminology, tone, and regulatory constraints.

Market and competitive intelligence

Monitor trends, competitors, and customer conversations to inform messaging and positioning.

Content performance summaries

Automatically generate summaries from campaign results, feedback, and engagement data.
Screenshot of an AI assistant named Calla suggesting five blog post ideas to promote a new smart home product line, with popular channel icons and a content outline visible.

Legal & Compliance

Policy-aware execution

Ensure automated actions follow internal policies, approval rules, and compliance constraints.

Audit-ready workflows

Maintain full logs of AI actions, decisions, and data usage for audits and reviews.

Access and permission control

Restrict what each AI coworker can see and do based on role and responsibility.

Regulatory support

Assist teams with compliance checks, reporting, and documentation in regulated environments.
Digital legal advisor interface named Justa showing compliance check for high voltage line installation with approval requirements and regulatory documents list.

Intelligence & Analytics

Operational reporting

Generate structured summaries of work performed, outcomes achieved, and bottlenecks encountered.

Customer and business insights

Aggregate signals from support, sales, and operations to surface meaningful patterns.

Analytics reporting

Retrieve analytics for internal and stakeholder reporting.

Decision support

Provide recommendations grounded in company data, historical actions, and current constraints.
Dashboard interface showing a data analyst named Kai analyzing product return reasons: damaged product 37%, wrong item shipped 24%, and size/fit issues 19%, with integrations to Google Drive, Salesforce, Notion, HubSpot, and Zendesk.