Six revenue stages across five stack layers, including the new context layer that AI agents read from. The top row shows where AI is applied today, with adoption maturity marked separately for mid-market (M) and enterprise (E).
Mid-market (≈200–2,000 employees) → Enterprise (2,000+) · Oct 2026
One live record of each account and deal that AI agents read from
Unified account & deal context
Salesforce Data Cloud
HubSpot Data Hub
People.ai
Momentum
Nayak
AI-native CRMs (Attio, Day.ai) merge this layer with the system of record.
Signals & enrichment
Clay
Common Room
Unify
Conversation context
Gong
Nayak
Gong: after the call. Nayak: live, in the meeting, shared via MCP.
Company knowledge
Glean
Notion AI
Guru
Agent access & orchestration
MCP servers
Agentforce
Copilot Studio
n8n
Custom agents
Layer 2
Systems of record
Marketing automation
HubSpot
Marketo
Salesforce Marketing Cloud
CRM + embedded agents
Salesforce + Agentforce
HubSpot + Breeze
Dynamics 365 + Copilot
Mid-market skews HubSpot; enterprise skews Salesforce and Dynamics.
Support, CS & billing
Zendesk
ServiceNow
Gainsight
Zuora
Stripe
Layer 1
Data foundation
Third-party & intent data
ZoomInfo
Bombora
Crustdata
G2 intent
Common Room
Warehouse & activation
Snowflake
Databricks
BigQuery
Hightouch
Census
Segment
Enterprise AI increasingly reads from the warehouse, not just the CRM.
Product & usage signals
Amplitude
Pendo
Mixpanel
Pocus
Across all layers
Horizontal AI
Assistants
Claude
ChatGPT Enterprise
Microsoft 365 Copilot
Gemini
Governance
SSO / access
DLP
AI usage policy
Audit logs
Directional synthesis of common patterns as of October 2026, not survey data. Vendor names are representative examples for each category, not a ranking or endorsement. Maturity ratings reflect typical adoption across companies in each segment; individual companies vary widely.
Turn Human Connection Into Your Competitive Advantage.