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Salesforce Architecture, Data & AI· AI & Automation

Intelligent service experience

A governed AI service architecture in which Agentforce works inside Service Cloud. It is grounded in Data 360 context and Knowledge, scoped by topics and instructions, and always able to hand off to a human agent.

  • Sector Enterprise customer service
  • Client Enterprise service organisation
  • Role Salesforce architect and Agentforce consultant
Answers drawn from CRM data, Knowledge and Data 360 context
Grounded
Topics, instructions and explicit actions within Salesforce permissions
Scoped
A defined path to a human service agent in the console
Hand-off
Agentforce service architecture: customer channels feed an Agentforce service agent with topics, actions, data grounding, security and evaluation, working inside Service Cloud with escalation to a human agent
The starting point

The challenge

Complex service interactions need context. The AI agent had to understand who the customer is, retrieve the right information, answer from trusted data, take appropriate actions, escalate what it shouldn't handle, and stay within Salesforce security boundaries throughout.

The solution

What we built

  • Agent design: topics and instructions defining what the agent handles and how.

  • Actions: explicit agent actions for the tasks it can perform.

  • Grounding: responses drawn from CRM data, Knowledge and Data 360 unified context.

  • Escalation: a defined hand-off to a human service agent in the Service Cloud console.

  • Control: permissions and security boundaries applied to what the agent can see and do.

  • Quality: testing and evaluation built into the design.

Architecture

How the system works

Architecture: a customer request reaches an Agentforce service agent, scoped by topics and instructions and explicit actions, grounded in CRM data, Knowledge and Data 360 context, working inside Service Cloud as the system of record, with escalation to a human service agent and controls for permissions and testing
Agentforce works inside Service Cloud: grounded in CRM data, Knowledge and Data 360, scoped by topics and actions, with escalation to a human agent.
Engineering

How it was engineered

  • AI inside the business system, not beside it. Service Cloud stays the system of record for cases and escalation, so AI interactions follow the same processes, permissions and reporting as human ones.

  • Grounded, not improvised. Responses draw on CRM data, Knowledge and unified context, so answers come from the organisation's trusted sources.

  • Scoped by design. Topics and instructions bound the agent's behaviour, actions are explicit, and permissions apply.

  • Evaluation as part of the build. Testing is designed in from the start, alongside a clear path to a human.

Scope

What was delivered

01

Context-aware AI service interactions on Service Cloud

02

Responses grounded in CRM data, Knowledge and unified customer context

03

A defined escalation path to human agents

04

Governance through existing Salesforce permissions and security

Technology

Stack

AgentforceData 360Service CloudCustomer 360KnowledgeAgent ActionsData Grounding

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