Native Salesforce experience
Support engineers stay in Service Cloud. AptEdge surfaces investigation results, confidence, and draft replies in-flow so nobody opens six tabs to finish one case.
Enterprise B2B technical support AI inside Salesforce Service Cloud for complex product tickets
Assist and autonomous AI that lives in Salesforce case views, built for multi-hop tier-2 and tier-3 product tickets with grounded citations.
Agentforce and Einstein cover plenty of Service Cloud workflows. When a ticket needs Confluence, Jira, Slack, GitHub, and case history to solve a version-aware B2B issue, AptEdge fits right inside the cases your support engineers already work. VP Support teams get cited drafts, earned autonomy, and fewer engineering escalations without leaving Salesforce or replacing Agentforce.
Where Salesforce support queues need more depth
- Complex tickets need context outside Salesforce Knowledge and case fields, across Confluence, Jira, Slack, and past resolutions.
- Multi-product, multi-version B2B issues need deeper investigation than single-hop Knowledge retrieval.
- Engineering escalations still spike when answers require cross-system investigation Salesforce alone cannot see.
- Assist tools without grounding and citations create trust problems with senior tier-2 and tier-3 engineers.
- Leaders need escalation rate, MTTR, and CSAT movement on hard product work inside Service Cloud.
AptEdge inside Salesforce
- Embed assist and autonomous workflows directly in Salesforce case views where engineers already work.
- Index Confluence, Jira, GitHub, Slack, and past cases alongside CRM data for multi-hop investigation.
- Draft cited replies and thread summaries without agents leaving Service Cloud.
- Graduate from assist to autonomous replies on your schedule, with guardrails, confidence, and audit trails.
- Feed verified resolutions back into knowledge drafts so the next similar case does not escalate.
How AptEdge helps
Beyond Knowledge articles
Connect every source tier-2 and tier-3 engineers actually use, including Confluence, Jira, Slack, and past resolutions, so answers reflect product truth.
Earned autonomy with guardrails
Start with human review on every suggestion. Expand autonomous replies only on ticket types where citations and quality hold, under runbooks you define.
Proof from enterprise Salesforce customers
Boomi, Netwrix, and CyberArk run AptEdge with Salesforce as a core integration for complex B2B technical support workloads.
Escalation and CSAT outcomes
VP Support teams measure fewer engineering handoffs, faster resolution, and stronger CSAT on the Salesforce queues AptEdge covers.
Complements Agentforce
Keep Agentforce and Einstein for broad service workflows while AptEdge specializes in multi-hop product investigation with grounded citations.
Built for
VP Support and support engineering leaders running Salesforce Service Cloud for enterprise B2B products.
Integrates with
- Salesforce Service Cloud
- Salesforce Knowledge
- Confluence
- Jira
- Slack
Not for
- Salesforce CRM sales automation
- Marketing Cloud campaigns
- Help Center-only FAQ widgets
Related products
Customer proof
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Common questions
What is Salesforce AI support for enterprise B2B?
It is AI purpose-built for complex product support inside Salesforce Service Cloud: multi-hop investigation across CRM cases, docs, Jira, and Slack with grounded citations, earned autonomy, and in-flow drafts for tier-2 and tier-3 work.
Does AptEdge replace Salesforce Agentforce?
No. AptEdge is complementary. Agentforce and Einstein handle broad service workflows. AptEdge specializes in complex B2B technical support investigation across systems Salesforce alone cannot fully see.
Can AptEdge reply autonomously in Salesforce?
Yes, with earned autonomy. Most teams start in assist mode inside case views, then expand autonomous resolution on defined ticket types once quality and guardrails are proven.
Is AptEdge SOC 2 certified for Salesforce deployments?
Yes. AptEdge is SOC 2 Type II with tenant isolation on Google Cloud Platform and does not train on customer data. Connector scopes respect least-privilege access to Salesforce and knowledge sources.
How long does Salesforce integration take?
Most customers connect Salesforce and initial knowledge sources within 7 to 14 days, then expand autonomy and source coverage as metrics prove out.
Who is Salesforce AI Support for?
VP Support and support engineering leaders running Salesforce Service Cloud for enterprise B2B products with tier-2 and tier-3 technical complexity.