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.
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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.
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Lyra
Customer Support Expert
A customer on the Growth plan is asking why their API rate limit dropped after upgrading — is this a bug?
Checked against the plan comparison doc — this is expected: Growth includes a lower default rate limit than Enterprise, but it’s configurable. Sent them the self-serve link to raise it, no engineering ticket needed.
Cairo
Data Analyst
Which accounts show declining product usage this month that we should flag for the CS team?
7 accounts dropped more than 40% in weekly active seats, 3 of them within 60 days of renewal. Flagged all 7 in the CRM with usage trend attached.
Klarty
Executive Assistant
What’s our current policy on offering pilot extensions past the standard 14 days?
Per the sales playbook, extensions up to 30 days are pre-approved for Enterprise pipeline deals; anything longer needs a sales lead sign-off. Pulled straight from the current playbook, not last year’s version.
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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.
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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.
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