AI Context Infrastructure

Your AI agents are making customer decisions without knowing what customers actually do

Intercom Fin triages tickets. Atlassian Rovo prepares meeting briefs. Zendesk AI drafts responses. Custom GPTs route workflows. They all have the same blind spot — zero product usage context. Accoil fixes that. One API call delivers engagement scores, risk signals, usage trends, and AI-ready summaries to any agent, in structured JSON, updated continuously.

AI agents are already making customer-facing decisions without engagement context. Your Intercom Fin agent handles a support ticket. Your Atlassian Rovo agent prepares a meeting brief. Your Zendesk AI drafts a response. Your custom GPT routes a workflow. They all have the same blind spot: they don't know how engaged the customer is, what features they use, or whether the account is trending toward churn or expansion. A support ticket from a score-23 account with declining usage is a churn signal. The same ticket from a score-95 account with rising adoption is an edge case. Without engagement context, your AI agents treat both the same — and that's a problem.

Key Capabilities

Structured account context via single API call

One REST API call returns the full engagement profile for any account — score, trend, segment, risk signals, active users, feature usage breakdown, and an AI-ready summary. No aggregation needed. No multi-source queries. One call, complete context.

AI-ready summaries built for LLM reasoning

Plain-language account summaries designed to be consumed by other AI systems. Structured narratives that explain what happened, what changed, and what to expect — formatted so LLMs can parse, reference, and act on them without ambiguity.

REST API for any AI tool or agent framework

Accoil's REST API exposes engagement data to any AI tool — Intercom Fin, Zendesk AI, Atlassian Rovo, custom GPTs, LangChain agents, internal copilots. Structured JSON responses. Documented endpoints. No special SDKs or proprietary formats required.

How it Works

01

Product Tracking Skills bring clean data in

Accoil ingests product usage events, support interactions, and CRM data through its Tracking Skills. Clean, structured data is the foundation for accurate scoring.

02

Accurate scoring means accurate context

Engagement scores, segments, and risk signals are calculated from real behavior data. Accurate inputs produce accurate AI-consumable context.

03

Structured context flows to every AI tool

One API call delivers the full engagement profile to any AI agent or tool — scores, summaries, signals, and segments in structured JSON.

Integrations & actions

API

REST API

Full engagement data via documented endpoints for any AI tool

Automation

Webhooks

Push behavioral signals to AI agents in real time

Sync

CRM and support tool sync

Engagement data syncs to HubSpot, Salesforce, Attio, Intercom, and Zendesk. AI tools including Rovo and Fin pick up live engagement data without separate integration.

Salesforce

CRM Sync

Engagement data in HubSpot, Salesforce, Attio — visible to AI tools that read CRM.

What This Unlocks

Customer Success

AI agents handle support tickets with real account context. CSMs get AI-prepared briefings before calls.

Product teams

AI tools analyze feature adoption patterns with real engagement data. Product signals surface automatically.

Sales & revenue

AI sales copilots receive structured context about expansion-ready accounts. Outreach is grounded in real usage.

Leadership

AI-generated account narratives for board prep and strategic reviews. Real data, not manual summaries.

Give your AI agents real customer intelligence

API access on all plans Structured JSON Privacy-aware Works with Intercom Fin / Zendesk AI / Rovo / custom agents