SaaS B2B

Compañeros de trabajo de IA diseñados para escalar equipos de SaaS

Aumente la retención de clientes, reduzca la carga operativa y escale la ejecución con compañeros de trabajo de IA que entienden su negocio de SaaS, se conectan a sus herramientas y ejecutan flujos de trabajo reales en el soporte, las ventas y las operaciones.

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

A medida que las empresas de SaaS B2B crecen, el contexto del cliente, el conocimiento interno y el trabajo operativo se distribuyen entre demasiadas herramientas y equipos. El soporte, las ventas y los productos funcionan con información parcial, mientras que los fundadores y operadores dedican cada vez más tiempo a coordinar en lugar de a crear. Los flujos de trabajo manuales y el conocimiento tribal ralentizan la ejecución y perjudican la experiencia del cliente.

+

70%

Reducción de los tickets de soporte repetitivos gestionados manualmente

+

~12.000 €

ahorros de eficiencia por empleado por año

+

30%

Reducción de los flujos de trabajo internos manuales en todos los equipos

Use Cases

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Atención al cliente a gran escala

Resuelva los tickets repetitivos, ayude a los agentes con respuestas precisas y escale los casos complejos con un contexto completo de clientes y productos.

Operaciones de ventas e ingresos

Automatice las actualizaciones de CRM, enriquezca las cuentas y apoye a los equipos de ventas con información de clientes precisa y actualizada.

Operaciones y conocimientos internos

Gestione las solicitudes internas, mantenga la documentación alineada con la realidad y reduzca la dependencia del conocimiento tribal a medida que los equipos crecen.

Integrated with the most popular softwares

Salesforce, HubSpot, Zendesk, Intercom, Slack, Notion, Confluence, Google Drive, Jira, Linear, API internas

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

AI in Action

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SaaS B2B

Inteligencia de cuentas y uso

La IA de Klart crea vistas estructuradas de las cuentas de los clientes utilizando el uso del producto, el historial de soporte y las notas internas.

Agregación de comentarios sobre productos

Recopila y resume las solicitudes de funciones, los errores y los comentarios de varios canales.

Acceso al conocimiento interno

Responda a las preguntas internas recurrentes utilizando los documentos del producto, las decisiones y el contexto histórico.

Escalar el soporte y las operaciones

Gestione los crecientes volúmenes de solicitudes internas y de clientes sin aumentar los gastos operativos.

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.