TL;DR
- Salesforce launched Agentforce (October 2024) - autonomous AI agents for CRM workflows
- Best for: Salesforce-native companies automating sales, service, marketing within the platform
- Limitations: Salesforce-only, requires Enterprise/Unlimited editions, £2 per conversation pricing adds up
- Alternative: Independent AI agent platforms (Athenic, Make.com, n8n) offer cross-platform flexibility, lower cost at scale
Salesforce Agentforce vs Independent AI Agents: What B2B Companies Should Know
On October 9, 2024, Salesforce launched Agentforce - their autonomous AI agent platform that promises to automate sales, service, and marketing workflows within Salesforce CRM. With 150,000+ Salesforce customers, this launch significantly impacts the AI automation landscape for B2B companies.
If you're evaluating AI agents for your business, here's how Agentforce compares to independent AI agent solutions like Athenic, Make.com, and custom-built agents.
What is Salesforce Agentforce?
Agentforce is Salesforce's platform for building and deploying AI agents that autonomously handle tasks like:
- Answering customer service inquiries
- Qualifying sales leads
- Scheduling meetings
- Updating CRM records
- Generating reports and forecasts
Key features:
- Pre-built agents for common workflows (SDR Agent, Service Agent, Sales Coach Agent)
- Natural language configuration (build agents via prompts, not code)
- Salesforce Data Cloud integration (agents access all your CRM data)
- Human escalation workflows
- Audit trails and approval mechanisms
Pricing: £2 per conversation (launched pricing model November 2024)
Availability: Requires Salesforce Enterprise or Unlimited editions (£125-£250 per user/month)
Head-to-Head Comparison
1. Platform Integration
| Salesforce Agentforce | Independent AI Agents (Athenic, Make, n8n) |
|---|
| Salesforce CRM | Native, deep integration | Via API (good integration) |
| Other CRMs (HubSpot, Pipedrive) | Not supported | Native support |
| Marketing tools (Mailchimp, HubSpot, etc.) | Limited (via Salesforce Marketing Cloud only) | Native integrations to 100+ tools |
| Finance tools (Xero, QuickBooks, NetSuite) | Via AppExchange connectors (limited) | Native integrations |
| Custom APIs | Requires Apex/Flow development | Visual workflow builders, no code needed |
Winner: Independent AI agents (if you use tools beyond Salesforce ecosystem)
Best for Agentforce: Salesforce-only tech stacks
2. Use Case Flexibility
Agentforce strengths:
- Sales automation (lead scoring, outreach sequencing, pipeline management)
- Customer service (case routing, knowledge base queries, tier-1 support)
- CRM hygiene (data enrichment, duplicate detection, record updates)
Agentforce limitations:
- Cannot operate outside Salesforce (no cross-platform workflows)
- Example: Cannot automatically create invoice in Xero based on Salesforce opportunity
- Example: Cannot post to social media based on Salesforce campaign status
Independent AI agent strengths:
- Cross-platform workflows (e.g., Salesforce → Slack → Xero → Email)
- Non-CRM use cases (document processing, content creation, research, data analysis)
- Integration with any API (not limited to pre-built connectors)
Winner: Independent AI agents (broader use case coverage)
Best for Agentforce: Pure CRM workflows with no external system dependencies
3. Cost Structure
Agentforce pricing:
Independent AI agent pricing (Athenic example):
- £120/month for up to 1,000 automations (conversations, workflows, tasks)
- £480/month for 5,000 automations
- £1,200/month for 20,000 automations
- No base platform requirement (works with any CRM or none at all)
Cost comparison (company with 500 service conversations daily):
| Solution | Monthly Cost | Annual Cost |
|---|
| Salesforce Agentforce | £30,000 (conversations only) | £360,000 |
| Athenic AI Agents | £1,200 (20K automations) | £14,400 |
| Difference | -£28,800 | -£345,600 |
Note: Agentforce cost assumes 500 conversations/day × 30 days × £2/conversation
Winner: Independent AI agents (25× lower cost at scale)
Best for Agentforce: Low-volume use cases (<100 conversations/month)
4. Setup and Implementation
Agentforce:
- Setup time: 1-2 weeks (if already on Salesforce Enterprise/Unlimited)
- Configuration: Natural language prompts + point-and-click
- Technical requirements: Salesforce admin knowledge
- Deployment: Sandbox testing → production release
Independent AI agents:
- Setup time: 2-4 weeks (includes tool integrations)
- Configuration: Visual workflow builders or natural language
- Technical requirements: Minimal (no-code platforms available)
- Deployment: Test environment → production release
Winner: Tie (both relatively fast, depends on existing tech stack)
5. Customization and Control
Agentforce:
- Customization: Limited to Salesforce-native capabilities
- Advanced use cases: Requires Apex code or Flow development (developer needed)
- Model choice: OpenAI GPT (no alternative models available)
- Data control: Must use Salesforce Data Cloud
Independent AI agents:
- Customization: Full control over workflows, logic, integrations
- Advanced use cases: Visual builders or code (your choice)
- Model choice: OpenAI, Anthropic, Google, open-source models (switchable)
- Data control: Your own infrastructure or cloud of choice
Winner: Independent AI agents (greater flexibility and control)
Best for Agentforce: Teams happy with out-of-the-box capabilities, no custom requirements
Real-World Use Case Comparison
Use Case 1: Customer Service Automation
Scenario: Automate tier-1 customer support inquiries (password resets, order status, basic troubleshooting)
Agentforce solution:
- Service Agent bot answers questions using Salesforce knowledge base
- Escalates complex cases to human agents
- Updates case records automatically
- Cost: £2 per conversation
Athenic solution:
- AI agent answers questions using knowledge base (any source, not just Salesforce)
- Escalates to Slack or email for human review
- Updates case records in Salesforce, Zendesk, or Intercom
- Cost: £0.06 per conversation (at 20K/month tier)
Winner: Athenic (33× lower cost, works with any support tool)
Use Case 2: Sales Lead Qualification
Scenario: Automatically score and route incoming leads based on fit and intent
Agentforce solution:
- SDR Agent scores leads using Salesforce data
- Assigns to appropriate sales rep based on territory
- Sends personalized outreach email via Salesforce
- Cost: £2 per lead processed
Athenic solution:
- AI agent scores leads using Salesforce + website behavior + LinkedIn data
- Assigns to rep via Salesforce API
- Sends outreach via Salesforce, HubSpot, or any email tool
- Cost: £0.06 per lead (at 20K/month tier)
Winner: Athenic (can incorporate non-Salesforce data sources, 33× cheaper)
Use Case 3: CRM Data Enrichment
Scenario: Automatically enrich contact records with company data, job titles, social profiles
Agentforce solution:
- Must use Salesforce Data Cloud + third-party data providers (additional cost)
- Updates records within Salesforce only
- Cost: £2 per record + data provider costs
Athenic solution:
- Uses Apollo, Clearbit, LinkedIn, or any data API
- Updates records in Salesforce, HubSpot, Pipedrive, or any CRM
- Cost: £0.06 per record (at 20K/month tier) + data provider costs
Winner: Athenic (platform flexibility, lower cost)
When Agentforce Makes Sense
You should choose Agentforce if:
-
Salesforce-exclusive tech stack - You use only Salesforce products (Sales Cloud, Service Cloud, Marketing Cloud) and don't need external integrations
-
Low volume - Processing <500 conversations/month (below cost crossover point)
-
Enterprise Salesforce customer - Already paying for Enterprise/Unlimited edition (no incremental platform cost)
-
Prefer vendor lock-in - Value single-vendor support and accountability over flexibility
-
Simple use cases - Out-of-the-box SDR Agent or Service Agent meets your needs without customization
When Independent AI Agents Make Sense
You should choose independent AI agents if:
-
Multi-tool tech stack - Use Salesforce + HubSpot + Zendesk + Slack + dozens of other tools
-
High volume - Processing 1,000+ conversations or workflows monthly (independent agents become 10-30× cheaper)
-
Cross-platform workflows - Need automation across CRM, finance, operations, marketing tools
-
Custom use cases - Building unique workflows beyond pre-built agent templates
-
Cost-sensitive - Working within tight budgets or want to maximize ROI
-
Model flexibility - Want to switch between OpenAI, Anthropic, Google models based on performance/cost
Migration Considerations
If you're currently using Salesforce Einstein or other automation:
Path to Agentforce:
- Salesforce will push Enterprise/Unlimited customers toward Agentforce
- Migration: 2-4 weeks to rebuild Einstein workflows as Agentforce agents
- Risk: Vendor lock-in increases (harder to leave Salesforce ecosystem)
Path to Independent AI Agents:
- Keep Salesforce for CRM, add independent AI agents for automation
- Migration: 2-4 weeks to build parallel workflows outside Salesforce
- Benefit: Optionality (can switch CRMs later without rebuilding automation)
Expert Recommendations
"Agentforce is a great option if you're a Salesforce purist and don't mind the per-conversation pricing. For most mid-market B2B companies, independent AI agents offer 10× better ROI and far more flexibility. We migrated from Einstein to Athenic and cut automation costs 78% while adding capabilities Salesforce couldn't support." - Michael Rodriguez, VP Operations at EngageFlow (B2B SaaS, 180 employees) - interviewed October 2024
Decision framework:
| Your Situation | Recommended Solution |
|---|
| Salesforce-only stack, <500 conversations/month | Agentforce (try it) |
| Multi-tool stack, any volume | Independent AI agents |
| High volume (1,000+ conversations/month) | Independent AI agents (cost savings significant) |
| Custom/complex workflows | Independent AI agents (more flexibility) |
| Tight budget | Independent AI agents (lower cost) |
What About Hybrid Approach?
Some companies use both:
- Agentforce for simple, high-value Salesforce-native workflows (e.g., tier-1 support bot)
- Independent AI agents for complex, cross-platform workflows (e.g., order-to-cash automation spanning Salesforce, Xero, Shopify)
Pros: Best tool for each job
Cons: Managing two agent platforms, potential overlap/confusion
Verdict: Only recommended for large enterprises with dedicated automation teams.
How Athenic Complements (or Replaces) Agentforce
Athenic AI agents provide:
- Salesforce integration via API (read/write CRM data, trigger workflows)
- 100+ additional integrations (HubSpot, Zendesk, Slack, Xero, Google Workspace, etc.)
- Cross-platform workflows (e.g., Salesforce opportunity closes → create invoice in Xero → notify team in Slack)
- 10-30× lower cost at scale (£120-£1,200/month vs Agentforce's £2 per conversation)
- Model flexibility (OpenAI, Anthropic, Google - switch based on performance)
Compare Athenic vs Agentforce for your use case →
Considering AI agents for your business? Athenic provides flexible, cost-effective AI automation that works with your entire tech stack - not just Salesforce. Start free trial →
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