AI accelerates application development. Productive24AI provides a consistent environment for deploying them.
AI speed without losing IT control.
Enterprise low-code for the most complex business processes
Productive24AI is a low-code platform for building advanced, end-to-end IT systems that support even the most complex business processes. It enables organisations to rapidly deploy innovations, automate processes, and fulfil unique requirements that standard market solutions cannot handle.
In Productive24AI an AI agent can autonomously build and modify applications, but it operates within clearly defined boundaries: on a low-code platform with GitOps, automated validation, diff preview, audit trail, security, and controlled deployment.
- Low-code platform
- GitOps
- Automated validation
- Diff preview
- Audit trail
- Security
- Controlled deployment
Apps built by AI work - but they are not production-ready.
Productive24AI solves this problem.
Apps built by AI are created faster than ever before. More and more organizations have a dozen or several dozen internal tools built in Claude, Cursor, Lovable, Bolt or v0. They solve real business problems, but the trouble appears when you have to deploy them at scale, maintain them, develop them further and integrate them with the organization’s processes.
- Every app has a different stack and a different level of quality.
- Security review depends on the availability of senior engineers.
- Permissions, auditing, retention and monitoring have to be added after the fact.
- Deployment, backup, observability and compliance are separate projects.
- The CTO gains prototyping speed, but technical debt keeps growing.
- The configurator describes the process, and AI builds it in the platform’s controlled environment.
- Security, permissions, monitoring and deployment are provided by the platform.
- Changes are versioned and can be rolled back.
- Apps run within a single operating model instead of many random stacks.
Two layers, two lifecycles: stable platform code and flexible business configuration.
The most important architectural decision in Productive24AI is separating platform code from business configuration. This means platform upgrades do not require rewriting client processes, and business changes can be developed without the risk of inconsistency with the platform version.
Configuration as text
Application configuration is represented as human-readable YAML text files, readable by both humans and AI Agents.
GitOps for low-code
Every change to a process, form, or rule is committed to the repository, enabling diff comparison and rollback.
Guaranteed support
Platform version upgrades do not affect the behavior of configured applications.
MCP operates at two layers: when building applications and inside running user applications.
Productive24AI is not just a screen generator or "AI for forms". It is a complete environment where AI agents can work.
Core MCP
Built by core platform developers and managed centrally.
- + Used by coding agents.
- + Integrations critical to the platform and the organization.
- + Guaranteed quality, security, and compliance with the P24 platform.
Business MCP
Built by business analysts, operating within the platform governance.
- + Fast response to local needs.
- + Without involving development teams.
AI builds on the platform
The agent does not generate random code. It builds applications in the controlled low-code environment of Productive24AI, with inherited architecture, security, and change process governance.
AI works inside the application
The same architectural direction allows agents to be embedded in business processes, not alongside them. AI operates securely inside end-user applications, in line with their permissions.
The AI agent works autonomously — but never outside your control.
Sounds risky? Productive24AI gives the agent a full toolset to build applications, but every change goes through a controlled process: repository, validation, diff preview, and approval.
Natural language
You describe the change or application in natural language. The agent plans the scope and operates within platform boundaries.
Repository
Configuration changes go into Git. Forms, workflows, rules, and permissions are treated as versioned artifacts.
Validation
The platform automatically checks component correctness before the change proceeds further.
Review and merge
Before merging you see exactly what changed and where. Nothing moves forward without approval.
Natural language
You describe the change or application in natural language. The agent plans the scope and operates within platform boundaries.
Repository
Configuration changes go into Git. Forms, workflows, rules, and permissions are treated as versioned artifacts.
Validation
The platform automatically checks component correctness before the change proceeds further.
Review and merge
Before merging you see exactly what changed and where. Nothing moves forward without approval.
AI accelerates the work
The agent creates forms, workflows, roles, views, integrations, and fixes faster than the classic manual configuration model.
The process protects it
GitOps, automatic validation, diff, review, CONF/UAT/PROD environments, and audit mean that AI speed does not equal loss of control.
Productive24AI has been deployed by organizations such as:
What do our clients think about Productive24AI?
„Productive24AI gives us the ability to introduce almost unlimited modifications and add new features — we have full freedom over what we want to add and measure on the platform."
Wojciech Dendys Customer Business Development Manager · Grupa Maspex „Whenever there is a need to digitalize an area or process, the first thing we now think about is using Productive24AI."
Dariusz Radzimirski Senior Business Solutions Manager · Grupa DANONE „Thanks to Productive24AI, we are able to roll out more processes at the same time and bring new products to market faster."
Magdalena Ołowska Marketing Director · Dolina Noteci Security guaranteed by the platform
Productive24AI is designed according to the principles of Security by Design and Privacy by Default. Applications built on the platform share the same access control, audit, and accountability mechanisms.
Standardisation and central management
All applications are managed from one place in a consistent architecture. Version control and a structured publication and approval process ensure that every change is predictable and supervised.
Supply-chain security
The platform decides which libraries it uses and is responsible for updating their versions. Components are centrally defined and monitored, so you reduce the risk of outdated dependencies and stay certain about what actually reaches production.
Flexible data isolation
Choose the isolation model that fits your needs. In the singletenant variant every application runs in a separate instance; in multitenant, multiple databases share one instance with full data separation.
Multi-layer permission model
- + Ability to use the organisation hierarchy for permission inheritance
- + Ability to use document relationships for permission inheritance
- + Use of hierarchical groups and roles to grant class-level permissions
- + Dynamic instance-level permissions for selected documents, granted based on computed logic
Audit and accountability
- + Application logs accessible to administrators from within the platform.
- + Logging of all user activities.
- + Configuration change history in Git: author, date, and description.
- + Full audit logs stored on a separate volume.
Frequently asked questions
In what environment does the platform run and where is the data located?
The decision is made by the client. The Productive24AI architecture was designed to reduce dependence on any single cloud provider, so the platform can run in one of three models:
- redundant eLeader Data Centers with GPU infrastructure located in Poland,
- public cloud (AWS or Azure),
- on-premise, with full physical control over data and hardware.
We tailor the deployment model to security policies, compliance requirements and expectations regarding data sovereignty.
Is Productive24AI just another Power Apps?
No. Productive24AI is a production environment for business applications, not a generator of simple forms. It was designed for complex, enterprise-class processes, which is why it includes, among others:
- cloud-agnostic deployment,
- GitOps,
- a multi-layered permission model,
- offline-first mobile apps,
- advanced logging,
- AI support in building applications (AI-assisted development).
Can an AI agent made available to application users go beyond their permissions?
No. The AI agent always operates within the context of the role and permissions of the user who runs it, and never gains broader access than that person. All of the agent's actions pass through the same control mechanisms as operations performed manually: validations, business rules and full logging.
Can an AI agent building an application deploy a change without human control?
No. The agent can prepare the configuration, use MCP tools and run validation, but every change goes into the Git repository. There it becomes fully visible and passes through a review and approval process before it is deployed.
Why does Productive24AI use Lua?
Lua makes it possible to build safe and predictable platform extensions without the complexity and maintenance costs typical of JavaScript, Java or .NET. It has a small runtime, deterministic execution and native sandboxing, so business logic runs quickly, predictably and without a heavy ecosystem of dependencies.
Importantly, Lua serves here as a scripting layer for business rules, not as a language for building an entire application. This keeps the platform core stable while client processes can be changed quickly and safely.
Can partners build solutions on Productive24AI?
Yes, and it is one of the natural usage scenarios for the platform. The partner focuses on what constitutes their value — the configuration and business logic of the solution for the client. The entire technical and operational layer (security, runtime, audit, deployment and application lifecycle management) is handled by the platform.
As a result, partners deliver applications faster while maintaining a consistent enterprise-class standard.
Let's talk like professionals, not SaaS salespeople.
Book a Productive24AI demo — we will answer all your questions and together analyse the needs and requirements of your organisation.
Contact us
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