Freshdesk
Growth
$19.00 × 10 seats$190.00
× 12 months$2,280.00
Per year
$19.00 per person / mo
$2,280
Per agent
Visit Freshdesk ↗Freshdesk vs Agentforce Service
Short answer: Freshdesk suits small and mid-sized teams that want a low-cost help desk with an AI agent on every paid plan. Agentforce Service suits teams that want case management and AI agents on the same CRM as sales, since Agentforce is included in every Service Cloud edition.
Compare with for .
Freshdesk
70%
match · $2,280/yr
Agentforce Service
63%
match · $3,000/yr
What matters most?
Set your own weights
What you'd pay
Entry plan for 10 people, billed yearly where offered, in US dollars (USD). Prices checked Nov 2026.
Smaller bill
Agentforce Service
Starter Suite
$25.00 × 10 seats$250.00
× 12 months$3,000.00
Per year
$25.00 per person / mo
$3,000
Plus transaction fees
Visit Agentforce Service ↗
PepoChat
AI support agent for websites, with a team inbox built in
PepoChat is an AI support agent that answers visitors from your own pages and files, says so when the answer isn't there, and hands the chat to a person in the same window. The free plan covers 100 AI replies a month, then new chats go to your inbox until the month ends; paid plans start at $39 a month.
Freshdesk
From $19
G2 4.4 · 3,817 reviewsSmall to mid-sized support teams that want a modern help desk with strong ticketing, automation, and self-service, plus the option to scale into more advanced workflows and governance.
vs
Agentforce Service
From $25
G2 4.4 · 7,357 reviewsMid-market to enterprise support organizations that need highly configurable, omnichannel customer service with strong automation, analytics, and deep CRM integration across sales, service, and field operations.
Who each one is for
Freshdesk
- Best for
- Small and mid-sized teams that want a low-cost help desk with an AI agent on every paid plan. source ↗
- Not for
- Teams expecting high AI chat volume, since sessions after the first 500 cost $49 per 100. source ↗
From Freshdesk's own pricing and help pages, checked Nov 4, 2026.
Agentforce Service
- Best for
- Teams that want case management and AI agents on the same CRM as sales, since Agentforce is included in every Service Cloud edition. source ↗
- Not for
- Small teams that want to pay month to month above the entry plan, since only Starter Suite can be billed monthly. source ↗
From Agentforce Service's own pricing and help pages, checked Nov 4, 2026.
Side by side
| Freshdesk | Agentforce Service | |
|---|---|---|
| Pricing | $19/agent/month (annual) | $25/user/month (Starter Suite) |
| Price checked | Nov 4, 2026 | Nov 4, 2026 |
| G2 Rating | 4.4 (3,817 reviews) | 4.4 (7,357 reviews) |
| Best For | Small and mid-sized teams that want a low-cost help desk with an AI agent on every paid plan. | Teams that want case management and AI agents on the same CRM as sales, since Agentforce is included in every Service Cloud edition. |
| Not for | Teams expecting high AI chat volume, since sessions after the first 500 cost $49 per 100. | Small teams that want to pay month to month above the entry plan, since only Starter Suite can be billed monthly. |
Pros and cons
Freshdesk
Pros
- Easy to set up and use for day-to-day ticket handling
- Good automation and SLA management for the price
- Strong self-service/knowledge base capabilities
- Broad channel support and Freshworks ecosystem integrations
Cons
- Advanced reporting/customization can require higher-tier plans
- Complex workflows and permissions can be harder to manage at scale
- Some integrations/features may require add-ons or additional Freshworks products
Agentforce Service
Pros
- Very flexible configuration and workflow automation for complex support processes
- Strong omnichannel capabilities and routing at scale
- Deep ecosystem (AppExchange) and integrations across the Salesforce platform
- Robust reporting, dashboards, and enterprise-grade security/governance
Cons
- Can be expensive as you add higher editions, add-ons, and implementation services
- Steep learning curve; admin and agent setup often requires expertise
- Customization and performance tuning can become complex in large orgs
Marcus Williams
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