Clearskies vs Salesforce Agentforce
On-platform AI vs cross-stack AI.
An honest read on how Clearskies and Salesforce Agentforce differ — and how to pick based on where your revenue motion lives.
Where Salesforce Agentforce is the right pick.
Atlas reasoning engine + pre-built sales agents
Agentforce ships with pre-built agents for SDR outreach, sales coaching, and service workflows, running on Salesforce’s Atlas reasoning engine. Out-of-the-box on-Salesforce, you can be live quickly.
Flow + Salesforce procurement leverage
Agentforce composes with Flow, Data Cloud, and the rest of the Salesforce platform — and folds into a contract you’ve already negotiated. Adding it inside a Salesforce footprint is easier than introducing a new vendor.
Where the full customer context changes the answer.
Cross-system context, not Salesforce-only
Agentforce sees Salesforce (and what Data Cloud syncs into it). Clearskies sees Salesforce, Gong, Slack, email, calendar, and the rest of your revenue stack, resolved into one context graph. Most revenue work spans more than CRM.
Model-agnostic, not Atlas-only
Agentforce is designed around Salesforce’s Atlas reasoning engine. Clearskies works with Claude, ChatGPT, Gemini, or any model your team prefers, and keeps working when the leading model changes.
Identity and timeline resolution across the stack
Agentforce reasons over Salesforce records. Clearskies resolves the same person across email, Gong, and Slack, and orders every interaction onto one timeline before the AI runs. Cross-system reasoning happens once, not per query.
The sales process model itself refines, not just the workflows
In Salesforce, the process — methodology, stages, exit criteria, team structure — is whatever you’ve configured; Flow automates workflows you define on top of it. Clearskies ingests that process as first-class context, observes activity across the whole stack, and refines the model automatically. The next workflow runs on a sharper picture than the last.
Your context graph travels with you
Agentforce keeps your AI workflows tied to the Salesforce platform. Clearskies is model- and platform-agnostic: your context layer outlives any one CRM, AI tool, or vendor contract.
Flat pricing separated from Salesforce procurement
Agentforce is consumption-priced inside a Salesforce contract. Clearskies is a flat team-sized plan procured separately, so revenue AI spend stays out of your Salesforce negotiation cycle.
Side by side.
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Clearskies
Salesforce Agentforce
Primary shape
Cross-stack customer context graph
Salesforce-native AI agent platform
Sources beyond Salesforce
Native multi-source: Gong, Slack, email, calendar, HubSpot, and more
Salesforce + what Data Cloud syncs in; limited outside the platform
Identity resolution across systems
First-class — same person resolved across email, Gong, and Slack
Within Salesforce; limited cross-system
Timeline construction across the stack
Every interaction across every source, ordered onto one timeline
Salesforce activity timeline; cross-source not native
Sales process modeling
Ingests methodology, stages, exit criteria, team structure — refines automatically from observed activity
Salesforce process configuration + Flow automation; no autonomous refinement of the process model
Pre-built revenue agents
Skills and workflows you compose; works with any AI tool
Pre-built SDR, sales, and service agents out of the box
Model flexibility
Claude, ChatGPT, Gemini, any model via MCP or API
Atlas reasoning engine + select partner models
Write-back to CRM
Salesforce and HubSpot custom fields
Native to Salesforce
Deployment model
Cross-stack — works alongside your existing AI tools
On-Salesforce — runs inside the platform
Pricing model
Flat, team-sized, procured separately from Salesforce
Consumption-priced inside a Salesforce contract
Time to value
Connect your systems in minutes; first workflow in days
Fast on-Salesforce; longer if Data Cloud rollout is required
“I have Clearskies MCP connected to Claude which also connects into Amplitude, M365, and Atlassian. I’m running daily and weekly CEO Briefs on sales, competition, product sentiment, customer success, and customer health. I’m getting a level of insight that would have been impossible or massively labor intensive before.”
— Jake Olsen, CEO at StratusThe honest call.
Pick Clearskies if
- Your revenue motion spans more than Salesforce — Gong, Slack, email, and calendar all matter.
- You want to pick your AI model, not be tied to Salesforce’s stack.
- You want your sales process to live in the AI context layer, and improve itself as your team uses it.
- You want a context layer that outlives any one CRM or AI vendor.
- You want revenue AI pricing separated from your Salesforce contract.
Pick Salesforce Agentforce if
- All your revenue context lives in Salesforce already.
- You want pre-built SDR/sales/service agents you can turn on inside the platform.
- You’re a deep Salesforce shop and want everything procurement-consolidated.
Comparing other AI tools too? See every comparison. Or visit Salesforce Agentforce.
Run a side-by-side.
Same data, both tools, one workflow you don’t fully trust today. See the difference on something real.
