Salesforce Agentforce is a platform for running AI agents in sales and service. But for an agent to answer "what's the billing status," "is it in stock," or "is the contract renewed," it has to be connected to the back-office data that lives beyond Salesforce. This guide lays out how to connect back-office work so Agentforce can deliver.
Where Agentforce alone can't reach
| Question | Where the data lives |
|---|---|
| What's this customer's outstanding/payment status? | Billing, payment reconciliation, AR |
| Is it in stock / what's the lead time? | Inventory, purchasing, shipping |
| Is the contract renewed / what are the terms? | Contracts, subscriptions |
| Who is holding up this approval? | Approval workflows |
These often sit outside standard Salesforce objects, and unless they're in a form the agent can read and act on, answers and automation stall partway.
Step 1: Make back-office data into records
Hold billing, payments, inventory, purchasing, contracts, and approvals as records tied to customers and deals. The agent being able to follow context is the prerequisite.
Step 2: Connect execution via API/MCP
Beyond reading, let the agent safely invoke execution — issuing invoices, reconciling payments, placing POs, routing approvals — through APIs (or an AI-facing interface like MCP).
Step 3: Keep governance and audit in force
Apply approvals, permissions, and audit trails to actions the agent takes, too. Combining automation with control widens what you can safely delegate to the front line.
How Sanka fits
Sanka keeps Salesforce (including Agentforce) as the source of truth for sales and service, while holding back-office work — billing, payments, inventory, purchasing, contracts, approvals — as records and connecting them via API. It provides the foundation for agents and automation to not just read but execute safely.
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Summary
Agentforce's value depends not only on how smart the agent is, but on whether it's connected to the back office beyond it. Make data into records, connect execution, and keep governance in force — the more you do these three, the further the agent can go from "answering" to "processing."