Key takeaways
Agentforce is a platform commitment for general customer service. Mosaic AI layers onto Salesforce and 100+ other systems in weeks, and connects your entire support stack to tackle complex technical cases.
Quick verdict
Choose Mosaic AI if you manage a B2B technical support team and want AI that works across your entire case lifecycle. Mosaic deploys in weeks on top of Salesforce Service Cloud and 100+ existing systems, bringing together customer, product, and support context to resolve complex cases more effectively, reduce inbound volume, and surface the trends driving support costs.
Consider Agentforce if your focus is automating simpler customer service cases, your organization has committed to the Salesforce ecosystem across Sales, Service, and Marketing Cloud, and you have a dedicated Salesforce admin team, SI partner, or a team of internal developers with 6+ months to invest in implementation.
Comparison table
Technical comparison
Cost comparison
Where Mosaic wins
- The hard tickets, not just the easy ones: Generic AI agents handle FAQs and routine requests. Mosaic is built for enterprise technical support, performing technical investigations using logs, attachments, past cases, and documentation to help engineers resolve complex issues faster.
- Deployment speed: Weeks with prebuilt connectors and dedicated onboarding. Agentforce requires 6+ months and a Data Cloud migration before non-Salesforce data is usable. No SI partner required.
- Cross-system knowledge: Agentforce is Salesforce-native. Mosaic connects Confluence, Zendesk, Slack, and 50+ other sources without migrating data into Salesforce.
- No certification requirements: Mosaic's Workflows are configured by your onboarding team. Agentforce's Agent Builder requires extensive Salesforce platform knowledge to build and maintain.
Pricing transparency.
Agentforce pricing stacks three overlapping cost structures:
- Flex Credits at $0.10 per AI action — a complex support case can involve dozens of actions per resolution
- Per-user add-on at $125+/user/month
- Agentforce 1 bundled editions at $550+/user/month
For a 50-agent team on the $125/user/month add-on: $6,250/month in seat costs. At 5,000 AI actions/month, Flex Credits add another $500 — before consulting fees, Data Cloud migration, or SI costs. Costs compound without a ceiling as resolution volume grows. Mosaic's outcome-aligned pricing has no per-action billing structure.
Where Agentforce may fit
- Teams whose support volume is mostly straightforward: public knowledge base lookups and routine workflows inside Salesforce
- Organizations where Sales, Service, Marketing, and Field operations are all fully committed to the Salesforce platform
- Companies with dedicated Salesforce admin teams, established SI partner relationships, or a team of internal developers
- Enterprises with approved budget for Flex Credits, per-user add-ons, or full bundled editions
Use case comparison
Scenario: Support team needs to find an answer that's in Teams, Confluence, or Jira, not Salesforce.
- Agentforce: Not out of the box. Requires Data Cloud migration and months of data implementation to extend beyond the Salesforce ecosystem. The agent switches tabs.
- Mosaic AI: Searches Confluence, Jira, Zendesk, Teams, and Salesforce simultaneously. The answer surfaces in context with a citation.
Scenario: A customer attaches log files and screenshots to an escalated ticket.
- Agentforce: No packaged capability for attachment analysis. The agent can summarize the case and search indexed knowledge, but someone on your team still opens each attachment, finds the error, and works out what it means.
- Mosaic AI: Analyzes the attachments directly, surfaces the errors that matter, correlates them with known issues and past resolutions, and drafts a grounded response with citations. Your engineer reviews instead of digging.
Scenario: Support ops team wants to build an escalation workflow across Salesforce and Jira.
- Agentforce: Agent Builder is low-code and Salesforce-centric. Cross-platform workflows require additional configuration and extensive Salesforce expertise.
- Mosaic AI: Mosaic configures multi-step automations across Salesforce, Slack, Jira, Confluence, and Zendesk without engineering or Salesforce certification.
Scenario: Support director wants an understanding of product issues creating tickets
- Agentforce: Reporting within Salesforce Service Cloud analytics can chart case volume by category, but the picture is only as good as manual tagging, and signals living outside Salesforce require additional data work to bring into view.
- Mosaic AI: The Intelligence dashboard reads every case and clusters tickets by the product issue behind them, automatically surfacing emerging trends, spikes, and recurring root causes across connected systems. No tagging discipline, no data engineering.
Scenario: Support director wants an understanding of which accounts are trending towards churn
- Agentforce: Reporting within Salesforce Service Cloud analytics can surface Salesforce-based patterns. Cross-system signals from support tickets, Jira, and Confluence require additional data engineering.
- Mosaic AI: Intelligence dashboard flags accounts with escalating friction and sentiment deterioration automatically from case patterns, with no additional data engineering required.
Customer proof
- Cynet, a cybersecurity platform running Salesforce as their primary case management system, reports a 50% reduction in resolution time, 47% ticket deflection at Tier 1, and a CSAT improvement from 79 to 93 after connecting Mosaic to their Salesforce, Confluence, and Microsoft Teams environment.
- Rapid7, a global cybersecurity company with 500+ support agents, reports a 35% increase in agent capacity and 30% faster ticket handling time, with VP Global Support Rahat Nehal describing Mosaic as "a game-changer for our frontline teams."
- Point of Rental, a rental management software provider, reduced case resolution time by 44% and hit a record 92% CSAT, absorbing rapid customer growth with flat headcount.
Switching from Agentforce to Mosaic
Mosaic is not a Salesforce replacement; it layers on top of your existing Salesforce Service Cloud setup.
How it works:
- Configure OAuth in Salesforce and create a dedicated Mosaic API user (guided setup)
- Connect Salesforce in the Mosaic integrations dashboard
- Mosaic indexes your cases, records, and knowledge articles (24–48 hours)
- Add Confluence, Zendesk, and Slack to complete your knowledge graph
- First data review with your Mosaic CSM within 1–2 weeks of going live
No SI partner. No certification requirements. No Flex Credit calculations.
See Mosaic in action
Book a demo. Live in weeks, not months. No SI partner required.
Frequently asked questions
Can I use Mosaic AI on top of Salesforce Service Cloud instead of Agentforce?
Yes, and this is one of Mosaic's most common use cases. Teams connect Mosaic via the REST API setup, and get AI capabilities (case summarization, reply drafts, cross-system knowledge, churn signals) within weeks. No Agentforce license, no Flex Credits, no SI partner.
Does Mosaic AI integrate with Salesforce CRM?
Yes. Mosaic connects to Salesforce via REST API, indexing cases, customer records, knowledge articles, and account history, giving agents instant context on who they're supporting and what's happened before.
Does Salesforce Agentforce have a workflow builder like Mosaic AI?
Agentforce includes Agent Builder, a low-code tool within the Salesforce platform that requires extensive Salesforce platform knowledge to operate and maintain. Pre-built agent templates are available but each requires significant SFDC developer configuration. Mosaic's Workflows product requires no Salesforce certification, with automations configured by your onboarding team spanning Salesforce, Zendesk, Confluence, and Slack.
Does Mosaic AI support knowledge automation better than Salesforce's Einstein AI content features?
Mosaic's knowledge automation closes the feedback loop between tickets and documentation: it identifies knowledge gaps by analyzing which cases aren't covered by existing content, then generates draft KB articles for review. Salesforce's Einstein AI offers generative content features for individual article creation. Mosaic's approach is more systemic — it surfaces the gaps before you ask.
Can Mosaic AI deflect more tickets than Salesforce Agentforce?
Deflection depends heavily on knowledge quality and coverage. Mosaic's Self-Service product draws from all your connected knowledge sources (Confluence, Salesforce, Zendesk KB, Slack), not just Salesforce-hosted content. That breadth often enables higher deflection rates in B2B SaaS environments where knowledge lives across multiple tools.
