Autonomous AI agents. That actually act.
Not a chatbot. A digital labour force.
Agentforce is not a chatbot layered on top of your CRM. It's a platform for building autonomous agents that can plan multi-step tasks, reason over your data, and execute actions with proper governance — across any Salesforce cloud, inside Slack, and embedded in your customer-facing experiences.
Every agent is grounded in Data Cloud (your unified customer data), guided by your topics and instructions (what it can and can't do), and equipped with actions (Flows, Apex, MuleSoft APIs, and prompts) to get work done. You define the boundaries; Agentforce executes inside them.
Available as pre-built agents (Service Agent, Sales Development, Campaign Creation, Paid Media Optimization) or as custom agents built in Agent Builder — with Atlas, Salesforce's reasoning engine, underneath.
Build, deploy, govern — autonomous AI at scale.
Atlas reasoning engine.
Every Agentforce agent runs on Atlas — Salesforce's multi-step reasoning engine that plans actions, retrieves context, and decides what to do next. Not pattern matching. Real planning.
- Multi-step task decomposition
- Retrieval-augmented grounding
- Reflection and self-correction
Data Cloud-native context.
Agents retrieve customer context, product data, and unstructured knowledge from Data Cloud in real time — so every response and action is grounded in your trusted enterprise data.
- Data Cloud retrieval
- Unstructured data activation
- Real-time signals
Flows, Apex, APIs.
Agents don't just answer — they act. Actions wrap existing Flows, Apex methods, MuleSoft APIs, and prompt templates so agents can update records, book meetings, create opportunities, and trigger downstream workflows.
- Native Flow + Apex actions
- MuleSoft API integration
- Prompt templates
Guardrails built in.
Topics define what agents can do; instructions define how. Combined with approval workflows, confidence thresholds, and full audit logs, Agentforce ships with enterprise guardrails from day one — not bolted on after.
- Topic & instruction governance
- Approval workflows
- Full audit trail
Most AI "agents" are chatbots with extra steps. Agentforce is different — it plans, reasons, and executes multi-step work autonomously, grounded in your data, governed by your rules.
Built on the Agentforce 360 Platform.
Channels
Sales, Service, Marketing, Commerce, Slack, websites, mobile apps — wherever customers are
Agentforce Agents
Pre-built agents or custom-built via Agent Builder — with topics, instructions, and actions
Atlas Reasoning Engine
Multi-step planning, retrieval, reflection, and action execution — the agent brain
Data Cloud + Salesforce Platform
Unified data foundation, governance, metadata, identity — shared across every agent
Agentforce implementations that ship.
Agentforce pilots fail when teams treat agents like chatbots — scope small, wire to a knowledge base, ship a Q&A bot. TBG scopes agents as autonomous co-workers with real actions, real governance, and a real path to production.
- Led one of Australia's first Agentforce Marketing implementations. National homebuilder, end-to-end.
- Author of The Agentforce Marketing Ultimate Guide. The definitive guide on agent deployment.
- Speaker, Salesforce World Tour Sydney. "Data Graphs in Agentforce Marketing."
- Fixed-scope, fixed-price Agentforce activation. First agent live in days, not quarters.
The teams that win with Agentforce aren't the ones with the smartest agents — they're the ones with the clearest boundaries. Governance is the product.
Questions customers ask before they move.
How is Agentforce different from ChatGPT or Copilot?
ChatGPT and Copilot are general-purpose conversational AI. Agentforce is an agent platform grounded in your Salesforce data, with actions that execute Flows, Apex, and APIs — plus enterprise governance, topic controls, and full audit trails. It's built for production use inside your business, not for general Q&A.
Do I need Data Cloud to use Agentforce?
For most meaningful use cases, yes. Agentforce uses Data Cloud to ground agents in your unified customer data, retrieve unstructured knowledge, and operate across clouds. Some basic agent scenarios work on CRM data alone, but Data Cloud unlocks the real value.
What's the difference between pre-built and custom agents?
Pre-built agents (Service Agent, SDR, Campaign Creation, etc.) are configured templates — fastest path to live, minimal setup. Custom agents are built in Agent Builder with your own topics, instructions, and actions — for workflows Salesforce hasn't pre-packaged. Most customers start with pre-built and graduate to custom.
Is Agentforce safe? Can we control what agents do?
Yes. Agentforce ships with topic-level governance (what an agent can discuss), instruction-level guardrails (how it should behave), confidence thresholds, approval workflows for high-impact actions, and full audit logs. You define the boundaries.
How long does an Agentforce implementation take?
Our fixed-scope activation package delivers your first working agent — grounded in Data Cloud, with real actions, proper governance, and go-live training — in days. Timeline and scope are confirmed in a 24-hour SOW after a short scoping call.
How does Agentforce pricing work?
Agentforce runs on a consumption model — you pay per agent conversation (or action). Pricing varies by edition and is tied to Salesforce Foundations and Data Cloud credits. We confirm your entitlements during the scoping call.
Let's scope your Agentforce activation.
A 15-minute scoping call. A fixed-scope SOW within 24 hours. Your first Agentforce agent live in days — with production-grade governance from day one.
