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AgentJunction

Extend Salesforce's Conversational AI to ANY system

Extend Salesforce's Conversational AI to data residing in any system. Make Salesforce's AI agents smarter by unlocking data in any on-premise, hybrid or cloud-based back-office / ERP system for use as fuel for Agentforce's AI

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Instantly enable conversational AI for your Back-office Data

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Extend Agentforce AI to data in back-office systems (on-premise / cloud) like Order History, Invoices Status and Product Inventory

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Offer conversational access to Order History, Invoices and Inventory to customers and distributors through pre-built Salesforce Portals

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Enable AgentForce to take powerful actions in external systems outside of Salesforce – process online payments, create Orders or RMA records

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Empower users.
Delight customers.

Fuel your AI Agents with real-time insights

Customer service representatives can be armed with information in a few seconds with a simple conversational query. No more juggling multiple screens, swivel chairing and accessing multiple apps and interfaces to find information related to a customer.
Self-service possibilities for customers become more exciting as customers and partners can access AI Agent-powered web portals and web apps and lookup information, request actions and get progress visibility and status updates, in response to simple conversational requests, powered by live data streaming from ERPs and back-office systems.

Access data residing
"as-is" elsewhere.

Avoid expensive integrations

Your data stays as-is, in the system it belongs to. This bypasses the need for expensive data migrations and matching up reference IDs and data formats across multiple systems.
Data can be accessed on-demand by AI Agents without having to deal with the overhead of a long, complex integration project.

Zero-copy
Agentic connections.

Bypass all ETL / data sync pains

The conventional Extract-Transform-Load complexity of data integrations is bypassed as the data is not synced or replicated across systems.
The zero-copy architecture simply queries the data on-demand as and when needed.