AI automation and growth for saas and startups.
Build the product. Let a system answer the tickets. Product teams get pulled into support, onboarding and reporting. We take those jobs over so your team keeps building.
Where the hours come back.
Start with the repetitive work. It pays back fastest and builds trust in the system.
- ASupport agentAnswers from your docs and past tickets, and passes hard ones to your team with the context attached.
- BAdaptive onboardingSetup steps and emails that change with what each new customer does.
- CChurn warningFlags accounts that go quiet while there is still time to help.
- DUsage reportsA weekly summary of product usage written for founders and investors.
- ELead qualificationSorts inbound sign ups and books the right ones into demos.
- FDocs and release notesDrafts release notes and help articles from your changes.
Then point them at growth.
Time saved only matters if it goes somewhere. For software teams, it goes into shipping and selling.
Spots accounts ready to upgrade or add seats, so your team calls the right customers first.
Models how a change to plans or prices would land before you ship it.
Tracks competitors, reviews and new segments, and summarises what matters each week.
In the tools you already use.
68%
A support agent that resolves two thirds of tickets
Representative engagement. Client name withheld under NDA. Figures are typical of results at this type of company.
Questions we hear first.
Can AI handle customer support for a SaaS product?
Yes, for common questions. It answers from your own docs and passes anything unusual to a person, so quality stays high.
How do you connect to our product data?
Through your API or database, with read only access unless you decide otherwise.
Is this worth it at our size?
Often yes. Small teams feel support load the most, and a first system can go live in four to six weeks.