Accounting Seed, a leading Salesforce-native accounting solution, announced the launch of its AI Accounting Agents, enabling small and medium businesses to immediately realize benefits from artificial intelligence across their entire General Ledger and CRM without expensive integrations or complex data matching. This announcement follows Accounting Seed being named a Leader in the 2025 Accounting Solutions – Midmarket Champions quadrant from Info-Tech Research Group—based on verified end-user feedback collected through its SoftwareReviews platform.

Because Accounting Seed is built natively within Salesforce, customers can rapidly deploy AI in the same platform they use to run sales, service, and operations. By having all core business data in a single platform, businesses can use AI for help with answering questions and performing automated tasks without complex data mapping and integrations.

"Growing businesses using Accounting Seed are uniquely positioned to capitalize on AI advancement," said Nasser Chanda, CEO of Accounting Seed. "While other companies struggle with fragmented data across multiple systems, our customers have everything in one place on Salesforce. The AI can immediately understand their business context and start delivering value."

The initial release includes three specialized accounting agents—Collections Agent, Bill Pay Agent, and General Ledger Agent—each designed to handle routine accounting tasks while maintaining comprehensive audit trails and respecting established security permissions. These agents are designed to save time, reduce errors, and help growing businesses see tangible benefits from AI without high cost and complexity.

"AI agents represent the ultimate evolution of our automation strategy," said Ryan Sieve, CTO of Accounting Seed. "By building these agents natively on the Salesforce Platform, we're eliminating the obstacles that have prevented most businesses from accessing and benefitting from AI. Our customers can now deploy intelligent AI that works seamlessly within their existing workflows and is securely grounded in their data."