Epismo OS
Freemium
Teams using multiple AI tools on the same tasks
Most enterprise automation tools collapse the moment you need three ERPs, a custom MES, and a quality escalation chain that follows your QA policy — not a generic branching template. Onpilot is built specifically for that environment.
The platform connects agents to ERP, CRM, support tools, and custom APIs, then layers in approval steps, permission scopes, and audit logs so the agent cannot act unilaterally on sensitive operations. Agents can search, reason, take action, and hand off to a human — the approval step pauses execution and sends an interactive Slack message before anything ships. Multi-tenant architecture means a single deployment can serve isolated customer or plant workspaces with per-tenant access control. Where it breaks: Onpilot is a custom-built, consultative engagement, not a self-serve platform you configure over a weekend — teams without clear workflow documentation will stall during scoping.
Bottom line: Pick this when your workflow spans three backend systems and needs a human to sign off before a work order dispatches; plan a different path when you need a prototype running by Friday on a self-serve trial.
Find your fit
More options in Workflow Builders. Compare pricing, platforms, and features side by side.
Freemium
Teams using multiple AI tools on the same tasks
Paid
E-commerce and retail businesses
Shop-floor automation and enterprise operations workflows fail not because the AI is wrong, but because the tooling cannot model the actual environment — three ERPs, a custom MES, a QA approval chain that varies by plant manager, and a helpdesk that frontline workers reach over WhatsApp. Onpilot builds AI agents that connect to that actual environment: ERP systems, CRM platforms, support desks, databases, document stores, and custom APIs, with agents that plan across those systems, take action, and escalate when they hit a decision requiring human sign-off.
The differentiating feature is the approval-gate architecture. Rather than running to completion autonomously, agents pause at configurable checkpoints, send an interactive Slack message describing the proposed action, and wait for an explicit approve or disapprove before proceeding. Every action is logged. Permissions are scoped per agent and per tenant. This is not a bolt-on safety layer — the vendor positions it as the core reason enterprise operations teams can trust the agent with sensitive dispatches and procurement actions.
Onpilot fits manufacturing and enterprise operations teams whose workflows are too idiosyncratic for generic no-code automation builders, and SaaS or internal dashboard providers who need to embed white-label agents under their own brand with tenant-level isolation. It does not fit teams that need to self-configure and iterate quickly: the vendor’s own positioning describes a consultative model where their engineers map your workflow, wire the integrations, and tune on historical data before go-live. Teams that want to own configuration and iterate without vendor involvement will hit a wall. The self-hosted option exists, but no public download or self-service setup path is documented — on-premise deployment appears to require an engagement with the Onpilot team.
On integrations, the platform covers Salesforce, HubSpot, Slack, Notion, Jira, Gmail, Zendesk, Shopify, Microsoft Teams, WhatsApp, PostgreSQL, Snowflake, Freshworks, Intercom, Google Workspace, and custom APIs via OpenAPI tooling and webhooks. Agents surface through web widgets, Slack bots, WhatsApp bots, or embedded inside existing portals — the channel is configurable per deployment.
Sign in to rate this tool or suggest an edit.