Your AI team saved $8,400 ARR from churning before lunch.

Solve integrates bidirectionally with Intercom and Zendesk — reading incoming tickets, composing responses grounded in your knowledge base, and updating ticket status. Guide triggers onboarding messages through Intercom's messaging platform. Listen reads support tickets and NPS data from both platforms. All integrations use OAuth 2.0 with scoped permissions and operate within your existing support workflow.

SaaS companies using Solve typically see 52-80% auto-resolution rates for L1 tickets — password resets, billing questions, feature how-tos, and integration troubleshooting. Every response is grounded in your actual knowledge base, not hallucinated. Complex tickets (data migrations, API edge cases, bugs) are escalated to your human team with full context, reproduction steps, and suggested solutions.

Guide runs personalized onboarding sequences based on each trial user's actual behavior. Users who create a project but do not invite teammates get collaboration prompts. Users who connect an integration but do not set up automations get tailored walkthroughs. Qualify scores trial users by engagement depth and flags high-intent users for sales outreach. Companies using Guide report 3.2x higher trial-to-paid conversion versus unguided users.

Retain analyzes multiple behavioral signals: declining login frequency, reduced API call volume, frustrated support ticket sentiment, feature adoption stalls, and contract renewal timelines. It generates risk scores with specific behavioral triggers and recommended intervention playbooks. Retain flags at-risk accounts 60 days before predicted churn, giving your CS team time for meaningful intervention. Flagged accounts see 45% lower churn rates.

Yes. Tenant data isolation is enforced at every layer. Each agent processes data for one customer account at a time with no cross-tenant access. Data isolation is verified through regular penetration testing. Bitontree maintains SOC 2 Type II certification covering security, availability, and confidentiality. All data is encrypted at rest and in transit.

Yes. Know monitors support tickets for recurring questions that lack knowledge base articles, drafts new articles based on how your human agents resolved those tickets, and flags outdated articles when product changes make them inaccurate. Every draft is queued for human review before publishing. Know also identifies knowledge base gaps by analyzing which searches return zero results.

Listen aggregates product feedback from support tickets, NPS responses, in-app surveys, and Slack channels into a prioritized weekly report. It identifies the top feature requests by frequency and revenue impact, the most common friction points generating repeat tickets, and emerging usability issues. Product teams receive structured insights instead of anecdotal feedback, enabling data-driven roadmap decisions.

A typical 6-agent SaaS deployment takes 6-10 weeks. Phase 1 (Workforce Discovery, 2 weeks) maps your support workflow, onboarding funnel, and churn indicators. Phase 2 (Build & Deploy, 4-8 weeks) deploys agents incrementally, starting with Solve and Guide which deliver the fastest support cost reduction and conversion improvement. Phase 3 is ongoing optimization based on resolution rates, conversion data, and churn metrics.

Yes. Bitontree supports SSO through Okta, Azure AD, and Google Workspace for enterprise deployments. Agents authenticate through your existing identity provider for unified access management. All API integrations use OAuth 2.0 with scoped permissions. For companies with FedRAMP or HIPAA requirements, enhanced deployment options with dedicated infrastructure are available.

Solve extracts reproduction steps, browser/OS details, stack traces, and error codes from support tickets automatically. It categorizes bugs by severity (P0-P3), checks for known issues in the knowledge base, and routes to engineering with full technical context. For P0 incidents, Solve can draft status page updates and proactively notify affected enterprise accounts. This eliminates the back-and-forth between support and engineering that typically adds 2-3 days to resolution.

Yes. Qualify monitors usage patterns to identify accounts approaching plan limits (seats, API calls, storage), teams using features available on higher tiers, and power users who could benefit from advanced capabilities. Each expansion signal includes the specific trigger, estimated additional ARR, and recommended outreach timing. Qualify hands off to your sales team with full context — it does not send pricing communications autonomously.

Retain aggregates CSAT (Customer Satisfaction), NPS (Net Promoter Score), and CES (Customer Effort Score) data from Intercom, Zendesk, and in-app surveys. It correlates satisfaction metrics with usage patterns, support volume, and feature adoption to build a composite health score for each account. Declining scores trigger proactive alerts to your CS team with the specific data points driving the decline.

Know monitors your product changelog and automatically generates knowledge base articles for new features, updates existing articles that reference changed functionality, and flags articles that become inaccurate after a release. Guide adjusts onboarding sequences to include new features. Solve updates its response templates to reference new capabilities when relevant to support tickets.

Bitontree Workforce pricing is per-agent, not per-ticket or per-seat. Most SaaS companies start with Solve (L1 support) and Guide (onboarding) for fastest support cost reduction and conversion improvement. Pricing scales with ticket volume and integration complexity. Most companies see positive ROI within 90 days based on support cost savings alone. Contact us for a custom quote.

No. Bitontree Workforce AI agents handle the repetitive L1 tickets that prevent your support team from doing their best work — password resets, billing questions, feature how-tos, and integration troubleshooting. Your team handles the complex technical issues, customer escalations, and relationship management that require human empathy and engineering judgment. In practice, support teams report higher job satisfaction because they focus on challenging problems instead of repetitive queries.