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Nanonets AI Agents

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Nanonets offers AI agents for enterprise data processing, automating complex manual tasks like accounts payable and order management. These agents integrate with existing tools, handle edge cases, and deliver clean data to systems of record, improving efficiency and accuracy for businesses.

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Nanonets AI Agents screenshot
Nanonets AI Agents screenshot

Nanonets provides AI agents designed to make complex enterprise business processes AI-ready. The platform allows teams to set the direction while the agents handle the work, operating within the tools already in use. This approach aims to automate manual processes, reduce errors, and accelerate workflows.

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Nanonets agents are built to handle edge cases, which often undermine the return on investment for AI deployments. By using context graphs, these agents manage complex business rules and ensure critical steps are never missed. Business rules are embedded into each agent, providing them with a complete understanding of the operational context. Every decision made by the agents is grounded in the organization's data, preventing hallucinations and ensuring accuracy.

The platform emphasizes transparency, with no black boxes. Work is visible, and agents learn from every correction made by reviewers. This continuous learning mechanism allows agents to become smarter as processes evolve. Nanonets agents can be enhanced with various types of context, including policy, system-of-record, computed, conversational, and SOP context, enabling them to solve the most complex problems.

Nanonets agents are deployed across a range of use cases that are often difficult for other solutions to automate, including Accounts Payable, Order Management, Logistics, and Healthcare. For example, in Invoice Processing, Nanonets automates the entire workflow from multi-format invoice capture to validation against POs, vendor matching, approval routing, and ERP posting. The platform offers specialized agents such as AP Agent, Reconciliation Agent, Order Management Agent, and Data Extraction Agent.

The Agent Builder allows users to create agents without writing workflow logic, using a click-to-add step configuration and prompt-based logic. These agents can connect to various systems and perform tasks within ERPs or CRMs. Nanonets integrates with a wide array of popular business tools, including SAP, Salesforce, QuickBooks, Slack, Microsoft Teams, and Google Drive, ensuring seamless operation within existing tech stacks.

Nanonets' underlying OCR-3 model is ranked highly for accuracy, ensuring reliable data extraction. The platform is built with enterprise controls, offering features like SSO, role-based access, audit logs, and private deployment options to meet the security, legal, and procurement requirements of large organizations. Compliance certifications such as SOC 2 Type II, GDPR, ISO 27001, and HIPAA BAA availability further underscore its enterprise-grade security.

  • CategoryAutomation & Agents
  • Pricing ModelContact Us
  • DeploymentCloud
  • PlatformsWeb

  • AI agents for enterprise data processing

  • Automates accounts payable, order management, logistics, and healthcare processes

  • Handles edge cases with context graphs and business rules

  • Integrates with existing tools like SAP, Salesforce, Slack, and Google Drive

  • Learns from reviewer corrections for continuous improvement

  • Agent Builder for creating custom agents without coding

  • Multi-format invoice capture and automated ERP posting

  • Transparent work processes with no black boxes

  • Context graphs for managing complex business rules

  • OCR-3 extraction model for high accuracy

  • Enterprise-grade security with SSO, audit logs, and private deployment options

  • Configurable approval gates and human-in-the-loop options

  1. Configure: Define your business process and set agent direction using context graphs and business rules.

  2. Build: Use the Agent Builder to create or customize agents with declarative steps and prompt-based logic.

  3. Integrate: Connect agents to your existing systems and tools like ERPs, CRMs, and communication platforms.

  4. Deploy: Launch agents to automate end-to-end data processing tasks within your operational workflows.

  5. Monitor: Track agent performance and review exceptions through transparent work logs and analytics.

  6. Optimize: Leverage learning from corrections to continuously improve agent accuracy and efficiency.

  • Accounts Payable Automation
  • Order Management
  • Logistics Processing
  • Healthcare Claims Processing
  • Data Extraction
  • Reconciliation
  • Supplier Onboarding
  • Month-End Closing

From Nanonets

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