WithAmpersand introduces integration infrastructure for enterprise agents

Summary

Ampersand recently introduced its runtime capabilities designed to maintain agentic enterprise integrations by managing ongoing tasks such as authentication, token refreshes, retries, and monitoring. This development addresses a significant industry challenge where enterprise AI projects often falter after initial deployment due to the complexities involved in handling system of record configurations, which can include field renames and credential expirations. By separating integration definitions from per-customer configurations, Ampersand ensures that AI can effectively work with customized objects and workflows without requiring continuous engineering intervention, making it a crucial solution for keeping integrations operational in the long term.

Analysis

11x: 11x develops autonomous AI digital workers for revenue teams, including sales development and phone agents that operate independently. It relies on Ampersand to maintain deep, bidirectional integrations with enterprise systems of record so its agents can access and update customer-specific data reliably. Orb: Orb delivers a billing platform optimized for usage-based, hybrid, and complex enterprise pricing models. It uses Ampersand to support agentic actions and data synchronization within customers' systems of record such as Salesforce and NetSuite. SAP: SAP provides ERP software that serves as a core system of record for many large organizations. Ampersand enables agents to interact reliably with SAP despite customer-specific customizations and permission setups. Square: Square enables payment and commerce solutions that increasingly incorporate agentic AI features. It leverages Ampersand's infrastructure to perform reliable actions inside enterprise systems of record like those from Salesforce and Workday. Workday: Workday delivers HRIS and financial management platforms that function as enterprise systems of record. Ampersand facilitates deep, bidirectional integrations with Workday to support agent actions on custom data models. NetSuite: NetSuite offers cloud-based ERP and financial management solutions used by businesses as primary systems of record. Ampersand supports agentic read/write operations across NetSuite's varied customer configurations. Ayan Barua: Ayan Barua is co-founder of Ampersand and previously founded Siftery while leading engineering at G2. He recently announced the company's focus on solving persistent integration challenges that prevent AI agents from operating effectively in customized enterprise environments. Salesforce: Salesforce is a leading provider of CRM systems widely used as a system of record in enterprises. Ampersand builds integrations that accommodate each customer's custom objects, fields, and workflows within Salesforce. WithAmpersand: Ampersand provides integration infrastructure designed specifically for enterprise AI agents, enabling reliable read, write, and monitoring operations across customers' customized systems of record. It handles runtime concerns like authentication, retries, and mapping so agents can act on data without breaking when configurations change. The company powers agentic capabilities at 11x, Orb, and Square in platforms including Salesforce, SAP, NetSuite, and Workday. Industry Need: Enterprise AI projects frequently stall after initial setup because systems of record require ongoing handling of authentication changes, field renames, and edge-case mappings that AI models cannot manage alone. Platform Focus: Ampersand separates a single integration definition from per-customer configurations, allowing agents to operate on custom objects and workflows without ongoing engineering maintenance. Recent Announcement: Ampersand highlighted its runtime capabilities for auth, token refreshes, retries, and monitoring as essential for keeping agentic integrations operational long-term in production environments.

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aiai_agentsmachine_learning

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