B2B SaaS

AI coworkers built for scaling SaaS teams

Increase customer retention, reduce operational load, and scale execution with AI coworkers that understand your SaaS business, connect to your tools, and run real workflows across support, sales, and operations.

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

As B2B SaaS companies grow, customer context, internal knowledge, and operational work spread across too many tools and teams. Support, sales, and product operate with partial information, while founders and operators spend increasing time coordinating instead of building. Manual workflows and tribal knowledge slow execution and hurt customer experience.

+

70%

Reduction in repetitive support tickets handled manually

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~€12,000

efficiency savings per employee per year

+

30%

Reduction in manual internal workflows across teams

Use Cases

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Customer support at scale

Resolve repetitive tickets, assist agents with accurate responses, and escalate complex cases with full customer and product context.

Sales and revenue operations

Automate CRM updates, enrich accounts, and support sales teams with accurate, up-to-date customer intelligence.

Internal operations and knowledge

Handle internal requests, keep documentation aligned with reality, and reduce reliance on tribal knowledge as teams grow.

Integrated with the most popular softwares

Salesforce, HubSpot, Zendesk, Intercom, Slack, Notion, Confluence, Google Drive, Jira, Linear, 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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B2B SaaS

Account and usage intelligence

Klart AI builds structured views of customer accounts using product usage, support history, and internal notes.

Product feedback aggregation

Collect and summarize feature requests, bugs, and feedback from multiple channels.

Internal knowledge access

Answer recurring internal questions using product docs, decisions, and historical context.

Scaling support and operations

Handle growing volumes of customer and internal requests without increasing operational overhead.

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.