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AI & Intelligent Automation

Agentforce

AQBEE implements Agentforce — Salesforce's autonomous AI agent platform — to automate complex, multi-step business processes without human intervention. From customer service resolution and sales development to IT helpdesk and HR onboarding, we design, train, and deploy AI agents grounded in your CRM data that take action, escalate intelligently, and continuously learn from outcomes.

Capabilities

What We Deliver

Autonomous Agent Design

Design AI agents with defined roles, topics, instructions, and guardrails that can reason, plan, and execute multi-step workflows within your Salesforce org.

Agent Actions & Tool Integration

Connect agents to Salesforce actions (create records, update fields, send emails), Apex classes, Flow automations, and external APIs via MuleSoft for end-to-end process execution.

Knowledge Grounding & RAG

Ground agent responses in your trusted data — knowledge articles, product documentation, FAQs, and CRM records — using retrieval-augmented generation (RAG) for accurate, hallucination-resistant answers.

Human-in-the-Loop Escalation

Configure intelligent escalation rules that seamlessly hand off to human agents with full conversation context when queries exceed agent confidence thresholds.

Testing, Monitoring & Optimisation

Test agents with simulated conversations, monitor resolution rates and customer satisfaction in real time, and continuously improve agent performance with feedback loops.

Real-World Applications

AI-Driven Use Cases

1

Autonomous Customer Service for SaaS

A SaaS platform deploys Agentforce to handle 60% of inbound support requests autonomously — resetting passwords, troubleshooting common issues, processing refunds, and scheduling callbacks for complex cases.

AI Component

Agentforce agents grounded in the product knowledge base via RAG, with Flow-based actions for account modifications and intelligent escalation to human agents for edge cases.

2

AI Sales Development Representative

A B2B company uses Agentforce as a virtual SDR that qualifies inbound leads via conversational AI, books meetings with the right rep, and enriches lead records — handling 500+ leads per month without human intervention.

AI Component

Agentforce agent with Sales Cloud actions for lead scoring, calendar integration for meeting booking, and Data Cloud enrichment for firmographic and technographic data.

3

Employee IT Helpdesk Automation

A large enterprise deploys an internal Agentforce agent on Slack that resolves IT tickets — password resets, software provisioning, VPN troubleshooting — reducing helpdesk ticket volume by 50%.

AI Component

Agentforce agent integrated with Slack, ServiceNow API via MuleSoft, and IT knowledge base, with automated approval workflows for provisioning requests.

Case Studies

Agentforce Success Stories

See how we've delivered measurable results with Agentforce.

Autonomous Customer Support with Agentforce for a SaaS Platform
58%
Autonomous Resolution
Technology

Autonomous Customer Support with Agentforce for a SaaS Platform

NovaBridge Software

NovaBridge, a B2B SaaS company with 4,500 customers and 85,000 end users, was scaling rapidly but its support operation was not keeping pace. The 35-person support team handled 12,000+ tickets per month with an average first response time of 6 hours and resolution time of 3.2 days. Hiring was not solving the problem — the complexity of the product required months of agent training, and customer satisfaction was declining as the company scaled. The leadership team needed a way to handle routine support autonomously while ensuring complex issues still received expert human attention.

AgentforceService CloudEinstein AISlack Integration
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Intelligent Claims Automation for Property & Casualty Insurance
62% reduction
Claims Cycle Time
Insurance

Intelligent Claims Automation for Property & Casualty Insurance

Guardian Shield Insurance

Guardian Shield processed 180,000 property and casualty claims annually with an average cycle time of 23 days. The claims workflow was heavily manual — adjusters spent significant time on data entry, document review, and status updates. Customer satisfaction scores were declining as policyholders expected real-time transparency, and the company was losing market share to insurtechs offering faster, digital-first claims experiences.

Service CloudFlow OrchestratorEinstein AIAgentforce
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Building an AI-Powered Knowledge Base with RAG for Enterprise Support
94%
Answer Accuracy
Enterprise Software

Building an AI-Powered Knowledge Base with RAG for Enterprise Support

NovaBridge Software

NovaBridge had accumulated over 50,000 support articles, API docs, and troubleshooting guides across Confluence, Zendesk, and internal wikis. Support agents spent an average of 8 minutes searching for answers per ticket, and customers frequently received inconsistent or outdated guidance. The knowledge was there — finding it was the problem.

Google Cloud Vertex AIGemini ProClaudeCloud Run
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Need Help with Agentforce?

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