Cogito vs Agentforce
A tool-agnostic brain. Not a Salesforce-bound platform.
Agentforce is Salesforce's agent platform, built on Salesforce Data Cloud, billed per action and per conversation. Cogito is tool-agnostic. Sales, ops, eng, and exec all use one brain, with no platform pulling work back to itself, and a flat monthly rate with unlimited users.
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In one sentence
Agentforce is Salesforce's agent platform, built for Salesforce as the system of record. Cogito is tool-agnostic - sales, ops, eng, and exec all use one brain, with no platform pulling work back to itself.
What Cogito does that Salesforce Agentforce doesn't
The angles that actually differ. Different on every comparison because the leverage is different on every comparison.
Knows AND does, across your real stack
Cogito doesn't just synthesize Salesforce-shaped queries; it acts across the tools your team actually uses with permission-aware context. Drafts emails, files Linear tickets, updates Intercom, posts to Slack, all scoped to each user's native access. Agentforce's strength is acting inside Salesforce - the further your work lives from Salesforce, the more the platform tax shows.
Tool-agnostic across the stack
Sales, ops, eng, support, exec - all use one brain across many tools. Agentforce assumes Salesforce as the system of record and shapes everything around that.
Predictable flat pricing
From $69/mo with unlimited users. Agentforce bills per action (~$0.10), per conversation ($2), or per seat ($5 to $550 per user per month).
Permission-native across every source
Inherits live from Slack, Notion, Linear, Intercom, and every other connected tool - each user's own permissions in each system. Agentforce uses the Salesforce permission model.
OAuth setup, end-user driven
Anyone on the team can connect a tool they have access to. Agentforce setup runs through Salesforce admin configuration.
Works without Salesforce
Mixed CRMs, HubSpot-only shops, no CRM at all - Cogito works either way. Agentforce's whole architecture assumes Salesforce.
No platform allegiance
Cogito sells the AI. Agentforce is part of a Salesforce platform with its own gravitational pull on roadmap and architecture.
Which one fits your team?
Best for Agentforce
- Heavy Salesforce shops with significant Salesforce Data Cloud investment
- Customer service automation with Salesforce as the system of record
- Salesforce admins comfortable building inside the Salesforce platform
Best for Cogito
- Teams whose work spans many tools, not just Salesforce
- Companies with mixed CRMs or no Salesforce at all
- Buyers who want flat monthly pricing instead of per-action billing
Side by side
Sourced from Salesforce Agentforce's public docs and Cogito's own site. We update this when either changes.
CogitoWhere Salesforce Agentforce breaks down
Agentforce is Salesforce-first by design. The Data Cloud backbone, the agent builder, and the pricing model all assume Salesforce is your system of record. If most of your work lives outside Salesforce, you spend the platform tax without the platform fit.
In practice
Set up: 'When a P1 customer issue is filed in Intercom, notify the on-call engineer in Slack with the customer's Notion runbook attached.'
CogitoCogito subscribes to Intercom's webhook directly, looks up the on-call rotation, pulls the customer's runbook from Notion using that engineer's own permissions, and DMs them - each step uses the first-class API of each tool, no platform routing.
Agentforce can do this when your support ticketing and knowledge base both live in Salesforce. If they live elsewhere, the path runs through Data Cloud connectors and the answer is shaped by Salesforce as the system of record.
More common workflows
Concrete day-to-day moments where the architecture difference shows up.
Scenario
CSM asks: 'how healthy is my book of business right now?'
CogitoCogito pulls Intercom conversation trends per customer, Linear bugs blocking those accounts, Slack mentions, and contract context from your CRM - then synthesizes a per-account health score with the specific signals driving each one. Permission-scoped to the CSM's actual book.
Agentforce is built around the Salesforce ontology. Account health from Salesforce data is its strong suit. Cross-system signals (engineering, support, conversational) reach in via Data Cloud connectors, but the synthesis is shaped by what Salesforce considers a customer object.
Scenario
Engineering lead asks: 'are any open Linear bugs blocking enterprise customers?'
CogitoCogito reads Linear directly, cross-references issue labels with the customer mentions in Intercom and Slack, and surfaces the bugs tied to the most account activity. Direct API calls, native to each system.
Agentforce reasons about customer-impacting issues when those issues live as Salesforce records. Linear bugs need a connector and a mapping layer; the agent works best when the issue tracker is Salesforce-native.
Not another AI tool
Three different shapes of AI for business. Cogito is structurally different from each.
Personal chat AI
No shared team model.
Per-user chat assistants. Each rep has their own context. Strong for individual productivity, no shared organizational memory or cross-team workflows.
Salesforce Agentforce
Salesforce platform. Salesforce shape.
Agent platform built on Salesforce Data Cloud, billed per action and per conversation. Powerful inside Salesforce; the architecture assumes Salesforce is your system of record. If your work spans many tools, you'll feel the pull.
A business brain
All systems. One mind. No platform agenda.
Sees every system at once. Cites every claim with deep links. Pushes back when you're wrong. Acts across the stack with approval.
Should you switch?
If most of your work lives in Salesforce and you want agents inside that platform, Agentforce is the natural fit. If your work spans many tools and you want a single brain that reaches all of them with one bill, Cogito is built for that.
Common questions
Still have questions?
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