Frequently asked questions
What the platform replaces, how it is priced, where it can run and what the AI agents actually do. If something is missing here, ask us directly.
Product
What Platform AI is and what it replaces.
A governed operational layer on top of the systems you already run. ERP, CRM, spreadsheets, BI, GIS maps and messaging apps come together in one environment orchestrated by AI agents.
No. The platform builds a common management layer above them: unified roles, routes, rules, statuses, monitoring and analytics. Nothing has to be migrated before you start.
No — it is a runtime. Processes are actually executed, not just described: an assistant designs the BPMN diagram, a person approves it, and the platform runs it.
Task management on day one; CRM, HR, manufacturing and logistics on the same foundation. One system instead of a dozen subscriptions, with no data migration between them.
Teams that run processes across departments and need automation, an audit trail and AI in the same place — from a single department to an entire organisation.
Getting started
The trial, your first project, and what your team needs to know.
A cloud environment is deployed in minutes and a project wizard walks you through the first system. You get something working on day one, not weeks later.
Seven days per environment, with unlimited AI tokens for the first three.
Neither. Signup is self-service by email, there is no contract and no large upfront investment — you only pay for what you use.
No. Business users build registries, forms and processes without code. Developers are optional and step in when you want something custom built.
Expert support, weekly webinars, and a hands-on no-code course that teaches your own employees to build and automate on the platform.
Pricing & billing
You pay for administrators and compute — never per end user.
Administrator seats and a resource package, plus AI tokens charged by usage.
No. Pricing follows administrators and compute, so rolling out to a whole organisation does not change the bill.
Yes. Start on the smallest package and move up as load grows — the change applies from the next billing period.
A perpetual licence with an annual support subscription, covering one production instance and up to three test environments.
Platform updates and a minimum package of ten consulting hours per month, under SLA.
Deployment & security
Cloud, private cloud, or fully inside your own perimeter.
Cloud, private cloud or on-premise. The product is the same in all three — what changes is who hosts it and who controls the perimeter.
Yes. The systems you built and their data move between environments, so a cloud pilot can continue on-premise without being rebuilt.
Role-based access with permissions down to individual records, bulk user import, and full audit logging of every action.
No. The architecture is open, there are no forced dependencies, and the systems you built stay portable between environments, data included.
Every change is recorded as a requirement and key edits go through approval before publishing. Any change can be rolled back to its previous state in one click.
AI & agents
What the assistants do, and who stays in control.
They design processes from a description, build registries and interfaces, and take routine decisions — routing, completeness checks, SLA escalations. A person approves before anything goes live.
The platform works with today’s leading LLMs, so you do not buy a separate AI subscription for every employee or move context between services.
Applications are assembled from pre-built, tested building blocks instead of being generated from scratch: around 10× fewer AI tokens, no regressions, and no hallucinated structures.
Yes, through MCP. External AI clients can work with platform data and operations, and platform assistants can call external MCP servers — GitLab or your own corporate services — while running a task.
Yes. Employees work with AI inside the platform and share the same context: data, processes, documents and history live in one system rather than in separate tabs and chats.
Data & integrations
What you can connect, and how the data layer holds it together.
CRM systems, Jira, APIs, files, spreadsheets, Telegram and other sources — through pre-built integration modules or custom ones.
Minutes for common cases: ready-made HTTP templates cover external APIs, and secrets come from a central registry instead of being pasted into every integration.
One structured data layer: custom entities, attributes, relations and calculated fields, with versioning and audit on top.
Yes. Objects can be shown on a map with routes and areas, and the platform supports GeoJSON, vector tiles and spatial filtering.
Inside the same platform. Performance, process efficiency, workload and other metrics are tracked without a separate BI subscription.
Still have a question?
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