Your AI support agent treats every ticket the same. That's because it can't see what customers actually do.
Accoil delivers engagement scores, risk signals, and AI summaries to your support stack — so humans and AI agents know who they're helping.
The Problem
AI support agents draft cheerful responses to churning accounts because they have zero product engagement context. Human agents aren't much better — they see stale CRM fields and treat every ticket the same. Support becomes a missed early-warning system.
- — “Our AI agent can't tell the difference between a power user and a churning account”
- — “Tickets from at-risk accounts get standard responses instead of immediate escalation”
- — “A 'healthy' tag in the CRM masks an account that stopped using the product weeks ago”
How Accoil Helps
Engagement scores give AI agents real triage intelligence
Every account carries a 0-100 engagement score based on actual product usage. A score-95 account gets confident self-serve guidance. A score-23 account gets flagged for human attention — because the score reveals it's a churn signal, not a feature question.
Learn about engagement scores→AI summaries deliver account context before anyone reads the ticket
Accoil generates plain-language summaries for every account — what changed, when, and what it means. Before an agent drafts a response, the context is there: score trajectory, active users, segment status, risk level.
Learn about AI summaries→Structured context flows to Intercom Fin, Zendesk AI, and custom agents
Scores, segments, risk signals, and summaries are delivered as structured JSON via API. One call returns the full engagement profile — no custom data pipelines, no middleware. This is what makes AI support agents actually intelligent about your customers.
Learn about AI context→
Signals feed flags at-risk accounts before tickets arrive
When a ticket comes from an account that dropped segments or lost active users, the signals feed has already flagged it in the morning Slack roll-up. Support doesn't discover risk at ticket time — the ticket confirms what the data already showed.
Learn about signals feed→Same ticket. Same words. Completely different AI response.
Without Accoil — AI agent sees
- Plan: Growth, MRR: $450/mo
- CRM health field: "Healthy" (last updated 4 months ago)
- No product usage data
- Response: standard troubleshooting, ticket closed
With Accoil — AI agent sees
- Engagement score: 23 (down from 67 three weeks ago)
- Active users: 1 of 12
- Segment: Critical risk
- AI summary: champion departed, core usage stopped, pattern matches 30-day churn
- Response: ticket escalated, CSM alerted, retention process triggered
Key capabilities for support
Engagement scores (0-100)
Instant account health context for every ticket — before anyone responds
AI summaries
Plain-language account narrative explaining what changed, when, and why
AI context via API
Structured JSON for Intercom Fin, Zendesk AI, and custom agents
Risk segments
Accounts tagged healthy, cooling, cold, or critical automatically
Signals feed in Slack
Morning roll-up flags at-risk accounts before tickets arrive
Give your support stack the engagement context it's missing
- AI context for Intercom Fin, Zendesk AI, and custom agents via API
- Engagement scores and risk signals in every ticket
- Live in under 48 hours with your existing product data
Want help getting set up?
Our advisory team helps B2B SaaS companies build support workflows powered by real engagement context.
Talk to an advisor→