Turbotic

Automation AI connects to any service with an API. When a request needs an outside system, the AI asks for the key, explains where to find it and stores it as an environment variable, and the finished workflow then reads and writes in that system, adding a lead to Airtable or a CRM, sending an email or calling OpenAI.

HubSpot, Airtable, Google Sheets, Outlook and other email platforms, Jira, ServiceNow and UiPath are among the services it works with, and each integration is code Automation AI writes for that service's API rather than a maintained connector. Automation Orchestration reaches across UiPath, Blue Prism and Automation Anywhere robots and agents built on any framework, and when a failure is critical it opens the incident in ServiceNow, Jira or a similar service management tool without waiting for a person. The Turbotic AI Assistant connects to more than 200 business systems for the data it works on.

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From one request, Automation AI writes a multistep workflow with its trigger, conditions, delays and actions, such as waiting 24 hours after a new lead before sending an email, and runs it on Turbotic's own service. Users can change the logic by chat or edit nodes and code by hand, with version history kept. Automation Orchestration coordinates robots, AI agents and workflows across vendors from one control plane, including hybrid automations that pass work between AI and RPA. How Orchestration decides which robot or agent takes a job is not spelled out.

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The Turbotic AI Assistant works on data a team uploads from any enterprise system, SaaS application or data source, and keeps conversations and material in shared workspaces, where it turns them into process documentation. Automation AI keeps files beside each automation in its dashboard and reads whatever a workflow fetches on each run. Neither keeps an index of company knowledge that an automation searches as it works, so grounding comes from what a team uploads or a workflow fetches at run time.

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Automation AI includes team collaboration and approval flows for automations, and the user reviews each generated step on a visual canvas before publishing.

Turbotic's governance work sets human in the loop and escalation points, approval points, intervention rights and stop conditions for each process, and the platform enforces them where the automations run, with agents acting only within approved policies, permissions and operating modes.

Turbotic's agent platform promises approval gates on the way from test to production and an AI supervisor that flags drift or unsafe actions and escalates them to a person. A buyer cannot yet see how an approver finds and clears a waiting step.

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Turbotic holds ISO 27001 certification for how it builds, hosts and runs its platform, and a SOC 2 Type II report on security, availability and confidentiality controls tested over time. In the Turbotic AI Assistant, a customer's administrators add, remove and suspend users, access, share and remove what users submit, and see logs of how people use the service.

Credentials for the services an automation connects to stay in environment variables, out of the workflow itself, and Turbotic's governance service sets data handling and access rules for each agent and automation. The agent platform promises role based access and policies that block unsafe actions before they run, but a buyer cannot check whether Automation AI signs people in through the company's own identity provider or which roles separate building an automation from running it.

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Every Automation AI run writes a log of each step, the dashboard keeps a logs section beside each workflow, and each automation reports hours saved, money earned and the value it created. Automation Orchestration tracks performance, failures, cost and behavior across robots and agents, ranks anomalies by impact, groups the past week's errors by category and shows license use against potential savings, and its view of language model work covers prompt analysis, compliance oversight, usage and cost. Every recommendation, approval and action stays on record for audit.

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Each automation keeps its own version history, files and environment variables in the Turbotic dashboard, and the AI Assistant keeps work in shared workspaces. What an automation remembers between runs has no public description, and the product documentation needs a sign in.

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Automation AI runs as a Turbotic cloud service, and the Enterprise plan adds an option to deploy it on premises in the customer's own environment. Turbotic AB is in Stockholm, personal data is processed at its operating offices and wherever the other parties to the processing sit, and Turbotic AI is sold only in the geographies Turbotic supports. Where the cloud service is hosted, and whether a customer can choose, is not public.

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Automation AI starts every automation from a description of the job, with no forms and no templates by design. In the Turbotic AI Assistant a team saves its own templates and uses a built in meeting agent for summaries, action items and sentiment, and Turbotic's agent platform promises a shared library of tools, prompts and patterns for new agents to build on. All of it is material a team assembles itself, so a new customer starts from its own words rather than from a library of ready made automations.

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Published automations run on a schedule, such as a news digest every morning at 7:00, when something happens in a connected app, such as a new lead arriving in HubSpot, or when another system calls them through a webhook or an API trigger. For IT operations, workflows start from monitoring alerts and system events. Scheduling comes with Basic and the plans above it, and a chat prompt starts work on demand. Automation Orchestration watches running robots and agents for failures and anomalies as they occur.

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Automation AI writes, tests and repairs workflows with Turbotic's own AI agents, whose underlying provider a customer neither sees nor picks. The automations it builds can call OpenAI or any other AI service a user adds a key for, so the model inside a finished workflow is the customer's choice, and Turbotic's agent platform promises agents built on OpenAI, Anthropic, Google or open source models. Turbotic does not use what customers submit to Turbotic AI to train generative models.

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Turbotic AI, the assistant, issues API keys, allows programmatic access to its output only through its API and holds callers to rate limits, with the API reference behind a customer sign in. Inside Automation AI, each workflow opens to manual node editing and a code editor that explains what the code does. A developer outside the product has no public reference, SDK or MCP server to build against.

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Before publishing, a user runs a live test and reads the log of each step, and Automation AI writes, tests and fixes its own code while it builds, with version history to step back to. Testing is a run and a read of the log, with no saved test cases to rerun after a change.

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Turbotic sells browser automation alongside API work, for jobs that cross systems, APIs and browser tasks, but how a browser run is driven, by which engine and whether an agent operates the browser on its own, is left to a sales conversation. Automation AI itself is API first and writes custom code for each service, and Automation Orchestration watches the RPA robots that click through screens without steering them.

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