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 wins

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 Clearskies wins

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 + the rest of your revenue stack — resolved into one customer 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

Flow automates workflows you define and Agentforce runs pre-built agents on Salesforce data. The underlying sales process — methodology, stages, exit criteria, team structure — is whatever you've configured in Salesforce. Clearskies ingests that process as first-class context, observes activity across the whole stack (calls, emails, CRM, Slack), 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.

Usage-based pricing separated from Salesforce procurement

Agentforce is consumption-priced inside a Salesforce contract. Clearskies is usage-based and procured separately — so revenue AI spend doesn't get bundled into your Salesforce negotiation cycle.

Feature comparison

Side by side.

ClearskiesSalesforce Agentforce
Primary shapeCross-stack customer context graphSalesforce-native AI agent platform
Sources beyond SalesforceNative multi-source: Gong, Slack, email, calendar, HubSpot, and moreSalesforce + what Data Cloud syncs in; limited outside the platform
Identity resolution across systemsFirst-class — same person resolved across email, Gong, and SlackWithin Salesforce; limited cross-system
Timeline construction across the stackEvery interaction across every source, ordered onto one timelineSalesforce activity timeline; cross-source not native
Sales process modelingIngests methodology, stages, exit criteria, team structure — refines automatically from observed activitySalesforce process configuration + Flow automation; no autonomous refinement of the process model
Pre-built revenue agentsSkills and workflows you compose; works with any AI toolPre-built SDR, sales, and service agents out of the box
Model flexibilityClaude, ChatGPT, Gemini, any model via MCP or APIAtlas reasoning engine + select partner models
Write-back to CRMSalesforce and HubSpot custom fieldsNative to Salesforce
Deployment modelCross-stack — works alongside your existing AI toolsOn-Salesforce — runs inside the platform
Pricing modelUsage-based, procured separately from SalesforceConsumption-priced inside a Salesforce contract
Time to valueConnect your systems in minutes; first workflow in daysFast on-Salesforce; longer if Data Cloud rollout is required
In production
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 Stratus

How to pick

The 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.