Connect your systems
CRM, calls, email, calendar, Slack. No custom engineering required. No field mapping. Takes minutes.
Give ChatGPT your full
customer context.
Connect your CRM, calls, email, and Slack to ChatGPT. One connection, complete customer context. Your team asks; ChatGPT answers from the full picture.
ChatGPT is powerful.
But it doesn’t know your customers.
Your team uses ChatGPT every day. For drafting, analysis, research. But when they ask about a specific deal, a specific customer, a specific pipeline risk — ChatGPT doesn’t have the context. It doesn’t know what happened on the last call, what the CRM says, or what your team discussed in Slack.
The model is capable. The context is missing.
Three steps to full context.
01
02
Your context graph builds automatically
Clearskies resolves identities, maps relationships, and links activities across every system. One coherent customer picture.
03
Connect Clearskies to ChatGPT
Your team’s ChatGPT now has full customer context, ready to query.
Your data stays secure
You own the graph
No vendor lock-in
Zero user license fees
One question. Full picture.
“Give me a full briefing on the Acme account”
Pulls from Salesforce, Gong, Gmail, Slack
“Which deals should I be worried about this week?”
Pulls from Salesforce, email, calendar, Slack
“Summarize everything we know about our top 5 renewals”
Pulls from Salesforce, Gong, email, Slack
“What’s our win rate by competitor this quarter?”
Pulls from Salesforce, Gong
“Draft a follow-up email for the Northwind deal based on our last call”
Pulls from Gong, Salesforce, email
What becomes possible
Sales leadership dashboards in natural language
Ask ChatGPT for a pipeline summary and get answers from every system.
Account research on demand
Full account picture from all sources, in a conversation.
Deal risk analysis
Surface silence, stalled deals, and competitive mentions across every channel.
Win-loss patterns
Why you win, why you lose, built from actual interactions.
CRM updates from conversation
Describe what happened; ChatGPT updates the CRM with full context.
Individual connections vs. context graph
Plan
Individual connections
Context graph
Cross-system questions
ChatGPT pieces it together ad hoc
Relationships already resolved
Entity resolution
You build and maintain it
Handled for you
Setup
Configure and maintain each connector
Connect once, unified automatically
Maintenance
Fix each connector when APIs change
Managed for you
Gap detection
Not possible (each connector sees only its own data)
First-class feature
Consistency
Different results each time
Same answer every time
