Onpilot

Product Introduction

1. Definition: Onpilot is an AI workforce automation platform that creates and deploys specialized AI agents, also known as AI workers or AI copilots, tailored to an organization's specific systems, workflows, and business processes. It falls into the categories of enterprise AI, intelligent automation, and business process automation (BPA) software.
2. Core Value Proposition: Onpilot exists to transform regulated, complex, and time-consuming business operations into manageable, auditable AI agents. Its primary function is to automate real business workflows by connecting to existing enterprise systems (ERPs, CRMs, databases, etc.) to monitor operations, identify risks, uncover opportunities, recommend actions, and execute tasks with built-in permissions, approval chains, and audit logs.

Main Features

1. Agentic Workflows: This core feature converts static business processes into dynamic, autonomous AI agents. These agents are capable of reasoning, taking action using connected tools, and escalating issues when necessary. The system supports human-in-the-loop controls, such as "Waiting for Approval" steps via Slack or Teams, ensuring teams retain oversight on critical decisions.
2. Security & Governance: The platform is built with enterprise-grade controls. It provides granular permission management, comprehensive audit logs for every AI action, and activity monitoring. It supports multi-tenant architecture, VPC, and on-premise deployments, ensuring data isolation and compliance with standards like SOC 2 and GDPR.
3. Integration Ecosystem: Onpilot connects to a vast library of 3,200+ tools and systems, including ERPs (SAP, NetSuite), CRMs (Salesforce, HubSpot), support desks (Zendesk), databases (Snowflake, PostgreSQL), and communication platforms (Slack, Teams, WhatsApp). It uses secure OAuth connections and can interact with custom APIs, documents, spreadsheets, and internal portals.
4. Deployment Flexibility: AI agents can be deployed and launched directly within the tools teams already use, including as a Slack bot, WhatsApp bot, Teams bot, or embedded into a company's own SaaS product, internal dashboard, customer portal, or website via an web widget. This enables "AI that works everywhere you work."

Problems Solved

1. Pain Point: Organizations struggle with operational bottlenecks, siloed data across multiple systems, manual and error-prone workflows, and the inability to scale repetitive tasks. Complex, regulated industries face particular challenges in automating processes while maintaining compliance, audit trails, and human oversight.
2. Target Audience: The product is designed for enterprise operations managers, business process owners, IT and compliance leaders, product teams building AI features, and software companies looking to embed AI agents into their platforms. Specific verticals include manufacturing, logistics, finance, and customer support.
3. Use Cases: Onpilot is essential for automating cross-functional workflows like IT/HR support for frontline workers (e.g., provisioning software access), manufacturing operations (e.g., routing work orders across multiple ERPs and escalating defect clusters), sales and CRM automation, and creating a customer service agent that can search internal knowledge bases and perform actions.

Unique Advantages

1. Differentiation: Unlike generic AI chatbots or simple workflow automation tools, Onpilot creates context-aware, action-oriented AI agents that are deeply customized to a company's specific and often complex operational reality. It goes beyond answering questions to executing multi-step processes across disparate systems while maintaining governance. The "AI Partner" model with dedicated engineering support further distinguishes it from off-the-shelf SaaS tools.
2. Key Innovation: The key innovation is its composable and auditable agent architecture. It allows businesses to model intricate business logic, including conditional approvals, multi-system actions, and tenant-specific configurations, into a single, controllable AI worker. The platform's focus on "grounded AI"—agents that are strictly connected to real company data and systems with enforced permissions—sets it apart from general-purpose LLMs.

Frequently Asked Questions (FAQ)

1. How does Onpilot integrate with our existing enterprise systems like SAP or Salesforce? Onpilot uses secure, OAuth-based connections and supports a vast integration library of over 3,200 tools, including ERPs, CRMs, and databases. For complex or custom systems, it can connect via custom APIs, webhooks, and OpenAPI specifications, allowing AI agents to read, write, and take actions directly within your core operational software.

2. What security measures does Onpilot have to protect our sensitive business data? Onpilot is built with a security-first approach. Your data is encrypted, never used to train models, and remains isolated per team or tenant. The platform provides granular access controls, detailed audit logs for every query and action, and supports enterprise deployments in VPCs or on-premise. It is designed with compliance frameworks like SOC 2 and GDPR in mind.

3. Can we customize the approval chains and permissions for different AI agents? Yes, granular governance is a core feature. You can define specific human-in-the-loop approval steps, such as requiring a manager's sign-off in Slack before an agent dispatches a work order. Permissions can be configured to control which agents, teams, or individuals can access specific data fields, records, or system actions, ensuring appropriate controls for every workflow.