Accoil generates privacy-aware, plain-language summaries that explain what is happening in every account and why. Designed as structured narratives that humans read and AI agents reason over — so every system that touches your customers has real context. The engagement context layer for your entire stack.
Your accounts have a story. Nobody has time to read the raw data. An account scores 23. Another scores 95. The numbers tell you something is different — but not what happened, when it changed, or what to do about it. Teams dig through event streams and dashboards trying to reconstruct the narrative. AI support agents and sales copilots operate with zero context about who they are talking to. AI Summaries solve both problems at once. Accoil continuously generates concise, structured narratives that explain account health, momentum, and risk — written so a CSM can scan them before a call, and formatted so an AI agent can reason over them in real time. One summary. Two audiences. No PII leaves your environment.
Every summary is a structured narrative optimized for two audiences simultaneously. Humans get clear, scannable prose. AI agents and LLMs get consistent, well-formatted context they can parse, reference, and act on. One output serves your entire stack — from a CSM reading before a call to an Intercom Fin agent triaging a support ticket.
Engagement scores quantify health. Summaries explain it. When an account drops from 72 to 34, the summary surfaces what changed — which features went silent, which users disengaged, and how the trajectory compares to accounts that churned. The score tells you to act. The summary tells you how.
Summaries are generated without sharing account names, user identities, or personal data with external LLMs. Accoil's AI engine works with anonymised, structured engagement data — delivering rich narrative context while keeping sensitive information inside your environment.
Scores, segments, events, activation progress, trends, and traits are organized into a structured representation of each account
Changes in engagement, segment movements, feature adoption shifts, risk signals are detected and prioritized
A concise, privacy-aware narrative is produced for each account
No prompt engineering required. No dashboard configuration. Summaries are generated automatically.
Account summaries appear alongside support conversations
Summaries push to HubSpot account records
Account summaries surface in JSM
Read a summary before any call, identify exactly what changed when an account moves to at-risk
See narrative explanations of how accounts engage with specific features
AI sales copilots receive structured context about expansion-ready accounts
Quick, objective account narratives before board prep
