Salesforce Agentforce
AI Agents That Actually Work.
Autonomous agents for sales, service, and operations. Not chatbots. Not copilots. Agents that think, act, and deliver results without human intervention.
Book an Agentforce AssessmentThe Problem You Already Know.
Support Can't Scale
Your team is drowning in Tier-1 inquiries. Hiring more agents isn't sustainable. Response times keep climbing.
Chatbots Are a Dead End
Rule-based bots frustrate customers. They can't reason, they can't adapt, and they certainly can't close a deal.
AI Without Guardrails
You need autonomous agents, but you also need control. Governance, escalation rules, and deterministic actions on critical workflows.
What We Deliver.
Use Case Discovery
We identify where agents create the most impact — sales, service, marketing, or internal ops. Prioritized by ROI.
Agent Design & Build
Sales Agents. Service Agents. Custom Agents. Configured with topics, actions, and escalation logic tailored to your business.
Data Cloud Integration
Your agents are only as smart as your data. We connect Data Cloud to give agents real-time customer context across every touchpoint.
Governance & Control
Trust layers, Agent Scripts for deterministic actions, human-in-the-loop escalation, and audit trails. AI with guardrails.
Testing & Validation
Every agent is stress-tested against edge cases, hallucination scenarios, and failure modes before it touches a single customer.
Training & Enablement
Your team learns to manage, monitor, and optimize agents independently. Documentation. Dashboards. Ongoing support.
What We Build — In Detail.
Every Agentforce implementation is architected for your specific business context. Here's the full scope of what we deliver.
Sales Development Agents
Autonomous agents that qualify inbound leads, research prospects, craft personalized outreach, and schedule meetings — without human intervention.
- Lead scoring and qualification logic
- Automated prospect research via Data Cloud
- Personalized email and chat engagement
- Calendar scheduling and CRM updates
Service Resolution Agents
AI agents that handle Tier-1 support inquiries end-to-end — from understanding the issue to resolving it or escalating intelligently.
- Natural language case understanding
- Knowledge base search and article suggestion
- Automated case resolution and field updates
- Intelligent escalation with full context handoff
Custom Business Agents
Purpose-built agents for your specific workflows — order processing, data enrichment, compliance monitoring, internal operations.
- Custom Topics and Actions configuration
- Agent Instructions for business-specific reasoning
- Multi-step workflow orchestration
- Integration with external systems via MuleSoft
Agent Builder Configuration
We configure agents using Salesforce's Agent Builder — defining topics, actions, instructions, and guardrails declaratively.
- Topic definition and intent mapping
- Action configuration (Flows, Apex, APIs)
- Instruction tuning for accuracy and tone
- Testing Agent in Agent Builder sandbox
Data Cloud Grounding
Agents are only as smart as their data. We connect Data Cloud to provide real-time, unified customer context for every interaction.
- Unified customer profile integration
- Real-time data streaming to agent context
- RAG (Retrieval Augmented Generation) for unstructured data
- Data Graph configuration for relationship context
Multi-Agent Orchestration
For complex operations, multiple agents work together — a Sales Agent hands off to a Service Agent, sharing context seamlessly.
- Agent-to-agent handoff protocols
- Shared context via Data Cloud profiles
- Escalation chains across agent types
- Centralized monitoring and analytics
Our Approach: AI & Security.
Einstein Trust Layer
Every agent operates within Salesforce's Trust Layer — your data never leaves the platform, is never used for model training, and every interaction is auditable. We configure data masking, toxicity detection, and PII protection as standard.
Deterministic Guardrails
For critical actions — processing refunds, updating billing, modifying records — we implement Agent Scripts that enforce deterministic behavior. No hallucination risk on actions that matter.
Human-in-the-Loop
Not everything should be autonomous. We design escalation paths with configurable thresholds — confidence scores, monetary limits, sensitive topics — that route to human agents with full context preserved.
AI-Augmented Delivery
We use AI throughout our own delivery process — generating test scenarios, validating agent responses, creating documentation, and simulating edge cases. This is how we deliver in weeks, not months.
How We Build It.
Assess
Map your current workflows. Identify automation candidates. Score by complexity and impact.
Design
Architect agent topology, conversation flows, escalation rules, and Data Cloud integration points.
Build & Test
Configure agents in sprints. Test against real scenarios. Iterate until performance meets your bar.
Launch & Optimize
Go live with monitoring. Analyze agent performance. Continuously refine based on real interaction data.
The Outcomes.
Why Inexorables.
AI-Native, Not AI-Adjacent
We don't bolt AI onto traditional consulting. Every engagement starts with AI as the foundation, not an afterthought.
Governance First
Autonomous doesn't mean uncontrolled. We build trust layers, escalation paths, and audit trails from day one.
Data Cloud Expertise
Agentforce runs on Data Cloud. We build both. Your agents get real-time, unified customer context — not stale CRM data.
Agentforce is powered by unified customer data.
Explore our Data Cloud practice →Agentforce FAQ.
Chatbots follow scripts. Agentforce agents reason, make decisions, take actions, and learn from outcomes. They can process refunds, update records, qualify leads, and escalate intelligently — all autonomously.
Technically, Agentforce works without Data Cloud. Practically, your agents will be far more effective with unified, real-time customer data. We always recommend pairing them.
A single agent use case typically takes 3-6 weeks from discovery to production. Multi-agent deployments with Data Cloud integration take 8-12 weeks.
Yes. Everything stays within the Salesforce Trust Layer. No data leaves the platform. We configure governance rules, audit trails, and human-in-the-loop checkpoints for sensitive actions.
Absolutely. That's where the real power is. A Sales Agent can qualify and route leads while a Service Agent handles post-sale support — sharing the same customer context via Data Cloud.
Ready to Deploy AI Agents?
One call. We'll assess your use cases, map the ROI, and build the roadmap.
Book an Agentforce Assessment