Turbotic

by Turbotic

Freemium

AI-powered no-code automation platform that helps businesses build, manage, and scale intelligent process automations without technical expertise.

4.2
out of 5.0 · 10+ reviews
Category Productivity
Platform Web
Last Updated May 15, 2026

Overview

Turbotic is an AI-driven automation platform designed to help organizations build and manage intelligent process automations without writing code. It combines robotic process automation (RPA) management with AI-powered recommendations to identify which processes are best suited for automation.

The platform uses machine learning to analyze business workflows and suggest automation opportunities, prioritizing them by potential ROI. Its AI engine helps map processes, estimate savings, and track automation performance across the organization. Users can connect multiple RPA tools (UiPath, Blue Prism, Automation Anywhere) through a unified management layer.

Turbotic is ideal for enterprise teams managing automation programs at scale — particularly IT operations, shared services, and digital transformation teams. Founded in Sweden, the company positions itself as an "automation management" layer rather than another RPA bot builder.

Pricing

Professional
$15 /seat/mo
  • Full AI-powered process discovery, automation pipeline management, ROI tracking, and integration with major RPA platforms
Enterprise
Custom pricing
  • Unlimited users, advanced analytics, custom integrations, SSO, dedicated support, and white-labeling options

Pros & Cons

Pros

AI-powered process discovery identifies the best automation candidates automatically
Vendor-agnostic — works across UiPath, Blue Prism, Automation Anywhere and others
Built-in ROI tracking quantifies the business impact of each automation
No-code interface makes automation planning accessible to non-technical users
Free tier available for small teams exploring automation management

Cons

Small user base with limited independent reviews makes it hard to validate claims
Relatively young product (launched late 2025) with an evolving feature set
Best value comes at enterprise scale — smaller teams may not see full benefits
AI recommendations require sufficient process data to be accurate
Limited documentation and community resources compared to established platforms

Reviews