SAIE products
SAIESovereign Artificial Intelligence Ecosystem
A ready-to-use workspace that brings together organizational knowledge, assistants and AI models with control over data, access, costs and legal compliance
COMPETENCE DEVELOPMENT PROGRAMME · FOR PUBLIC AUTHORITIES
AI trainingfor public administration
NASK researched it. The Ministry of Digital Affairs recommended itWe answer — point by point
SAIE comprises three specialised software layers creating one AI work environment
Organizational knowledge works together with assistants
Documents, knowledge bases, RAG, processes and specialized AI assistants meet in one workspace
- Knowledge and documents
- Assistants and processes
- Citations and RAG
SAIE for institutions and businesses
Our software helps develop employee skills and quickly improve work quality
TWIN:DESK supports teams in their daily work, increasing productivity and use of organizational knowledge
Who SAIE is for
For organizations accountable for their data
SAIE is for organizations that must know where their data goes because a regulator, a contractual clause or plain risk discipline requires it. Banks, public institutions, energy companies, hospitals, telecom operators and defense organizations. You decide which model works on which data: your own model, one running in your environment, or an external model within the scope you define
For the three people who must say yes
We built SAIE for the three people in an organization who must agree before an AI deployment can move forward: the executive accountable for business outcomes, the security leader accountable for data and the compliance team accountable to the regulator. Each usually says no for a different reason. SAIE answers all three at once
For teams that know where time is lost
We built SAIE for teams that see every day how much time is lost on work AI can take over: document analysis, preparation of materials and searching distributed knowledge. And they want to recover that time in a way that passes every audit. Efficiency and compliance do not have to stand on opposite sides. In SAIE, they work together
Not for everyone
If you are looking for a simple website chatbot, cheaper options exist and we will gladly point them out. SAIE starts to make sense when model selection is governed by organizational policy rather than a vendor default, and when deployment goes through a risk assessment before anyone sees the first result. That means banking, public administration, energy, defense, healthcare and telecommunications
For those who do not want to do this twice
Some organizations are waiting for regulations to settle. Others are building now so they are ready from day one, and that second group will set the standard in its industry. We provide architecture in which the model is replaceable and a methodology that leads from pilot to scale. You add the knowledge of your business
For those asking what comes next
SAIE is for organizations that want to deploy AI in a way they can stand behind. It is clear who authorized an action, which data the system used and why it made a decision, not to assign blame but to move forward with confidence. That confidence is what lets deployment expand instead of getting stuck at the pilot stage
Capabilities provided by our software
Manage company knowledge with AI
The system enables company knowledge to be flexibly shaped and shared across projects, workspaces, and knowledge bases
Use knowledge from personal sources
The system integrates knowledge from folders, e-mail, calendars, and Teams without requiring data to be uploaded to a central RAG system
Decide where your data is located
Documents, prompts, context, and responses are stored in a location designated by the customer—on-premises, in colocation, or in the cloud—as decided by the customer
Ensure regulatory compliance from day one
The system operates in accordance with the EU AI Act, GDPR, DORA, NIS2, and cybersecurity requirements
Fully control access to AI models and tools
All communication with LLMs passes through a central policy, security and routing gateway, enabling consistent enforcement of ABAC/RBAC rules, MCP tool control, auditing, and access management at the user, role, team, and tenant levels
Create AI assistants without coding
The system enables advanced AI assistants to be created using natural language
Use AI in line with best practices
The system complies with applicable regulations and is ready for ISO 42001 certification. It produces compliance evidence. Compliance with the standard has been confirmed by certification
Eliminate Shadow AI in your company in two weeks
Ready-to-use software. Deployment takes no more than 10 business days with a ready-to-use on-premises architecture
Ensure hallucination-free knowledge
The system combines a central proprietary RAG knowledge base, OCR, metadata-based document filtering, a live view of sources used in each response, and a “knowledge gap” mechanism, allowing it to identify missing context instead of generating uncertain content
Deploy the unique Digital Twin capability
The Digital Twin represents a user with persistent memory and controlled personalization. The solution provides persistent user memory, a cognitive profile, a learning journal, memory export, synchronization with e-mail, calendars and messaging platforms, and explicit mechanisms for editing, deleting and resolving memory conflicts
Choose LLMs freely
Choose LLMs to match data sensitivity, tasks, and target costs. The system supports any model from more than 100 providers, switching models during a session without losing context, consulting several models at once, comparing results in a split view, and automatically switching to fallback models when a provider is unavailable
Create and control budgets
The system measures the cost of every request by user, team, project, and model; supports hierarchical budgets, alerts, internal currency, and token logs; and protects against excessive spending through denial-of-wallet safeguards
Build process and task automations
The solution supports automations, schedules, natural-language if/then rules, A2A delegation, multi-step process orchestration, and DAG-based rollback of agent actions with a visible rollback plan and user confirmation
Integrate the platform
Integrate the platform with your business and technology processes. The system works with Microsoft 365, Google, Outlook, Teams, Drive, OneDrive, GitHub, Jira, n8n, Langflow, Codex, CloudCode, Kubernetes, Helm, GitOps/IaC, and VSCode/Cursor development environments
Explore all SAIE capabilities
Browse the complete catalog of business, administrative and technical platform capabilities
Why choose our software over hyperscaler or open-source solutions
100% security: you will receive the software source code and training in its maintenance and development
You do not waste time stabilizing and adapting open-source solutions
You receive a fully functional platform and the essential know-how from day one, included in the price
How does SAIE differ from what you can buy from a hyperscaler or build from open-source solutions
Cost control
Data protection
Business outcomes
Solution support
Intellectual property protection
AI Act compliance
Software service
Specific needs
Vendor lock-in
Freedom to choose LLMs
Confidential data
Continuous work improvement
Integration in the customer environment
SAIE Development Plan
SAIE develops on a quarterly rhythm, and we set priorities based on conversations with clients, lessons from implementations and PoCs. We use them to check whether the technology is ready for production: whether it can withstand cost pressure, produce repeatable results and explain its decisions to an auditor. Some PoCs are run together with clients, on their data and processes. If you have a problem we should know about before the next planning cycle, write to us
TD-504 Prompt & Workspace Copilot
Creating effective system instructions and workspace settings requires experience that not every process owner possesses
TD-505 Guided User Onboarding
A first encounter with a complex application can be overwhelming, delaying productive use and increasing support requests
TD-510 Outlook-to-Asana Meeting Sync
Meeting decisions must be copied manually into the task system, resulting in delays and missed commitments
TD-511 Local Agent Token Telemetry
Token consumption by tools running on employee computers remains outside centralized cost reporting and limit management
TD-513 Named Document Versions
Without named checkpoints, it is difficult to return to an approved version, compare changes, and identify the currently binding document
TD-514 Meeting Transcription & Speaker Mapping
Meeting recordings are time-consuming to review, and without separating speakers it is difficult to assign decisions and commitments
TD-515 Enterprise Translation Workspace
Multilingual teams spend time on manual translation and struggle to maintain consistent industry terminology
TD-516 Agentic Retrieval Navigator
Long and complex documents require navigation through structure and dependencies that simple text chunking does not preserve
TD-517 Consolidated Report Builder
Creating cross-project summaries from multiple sources requires manual data consolidation and format standardization
TD-518 Verified Calculation Engine
Calculations performed solely by a language model can be inaccurate and difficult to reproduce, especially in reports subject to audit
PA-519 AI Cost Forecast & Optimizer
Before launching a solution, it is difficult to forecast model costs and identify a configuration that delivers the required quality within budget
PA-523 Executive AI Dashboard
Executives need a concise view of AI costs, risks, quality, and usage without analyzing operational reports
PA-525 Offline Model Registry
Disconnected environments need a controlled local catalog of model packages, versions, and compliance information
TD-425 Knowledge Authority Layer
In large organizations, documents vary in importance, freshness, and scope, so AI responses must select the right sources based on the user's role and the context of the matter
TD-426 Knowledge Graph RAG
Traditional context search loses the relationships between documents, concepts, and agent outputs, resulting in fragmented answers that are difficult to justify
TD-427 AI Tool Studio
Building integrations and interface components usually requires development work, which delays the rollout of new capabilities for business users
TD-430 Federated TwinDesk Cluster
A single shared infrastructure makes it difficult to isolate customers, teams, or workloads with different security and performance requirements
PA-431 Enterprise RAG Gateway
Agents and applications built outside the core product need secure, consistent access to search across corporate knowledge
PA-432 Priority OCR Service
High volumes of scanned documents create queues where urgent files compete with lower-priority jobs and processing status is difficult to track
PA-433 Session Intelligence Layer
Without recognizing the context of an individual session, it is difficult to apply the right limits, policies, and behavioral analysis to a specific conversation
PA-434 Multi-Node Routing Fabric
In a multi-node environment, requests must reach available resources while taking workload, location, and model requirements into account
PA-435 AI Compliance Engine
The organization needs to enforce regulatory requirements automatically during model use instead of relying solely on manual compliance procedures
PA-436 AI Policy Control
Different teams and use cases require consistent rules for access, permitted models, data, and response generation
PA-437 AI Cluster Manager
Distributed AI infrastructure requires a single place to control nodes, capacity, availability, and workload allocation
CD-438 ACE Configuration Wizard
Manually collecting configuration information creates gaps, inconsistencies, and lengthy coordination at the start of an implementation
CD-439 ACE Configuration Registry
Multiple project configurations are difficult to compare, find, and reuse without an organized registry
CD-440 Methodology Version Studio
Changes to standards and procedures require parallel maintenance of different methodology releases and clear assignment of each release to the relevant projects
CD-441 Project Knowledge Workspace
Implementation knowledge is scattered across files and conversations, leaving the assistant without complete context for a given project
CD-442 Knowledge Bootstrap Assistant
Project initiation is delayed by the manual collection of basic materials needed by the team and the assistant
CD-443 Guided Knowledge Enrichment
Experts need a simple way to add missing information during ongoing work without involving a system administrator
CD-444 Continuous Knowledge Sync
New decisions and artifacts created during a project should enter the shared context without recurring manual imports
CD-445 Smart Field Completion
Copying information into forms consumes consultants' time and increases the risk of omissions or inconsistent answers
CD-446 Smart Table Completion
Completing extensive tables from multiple source materials is repetitive, time-consuming, and prone to errors
CD-447 Project Progress Intelligence
Project managers need a current, data-driven view of execution rather than declarations collected only before reporting
CD-448 Adaptive Project Views
Static screens do not suit different roles and project stages, causing users to waste time looking for the right information
CD-449 Guided Product Academy
New users need contextual guidance through the process so they can become productive and independent more quickly
TD-450 Twin Knowledge Graph
Memory, documents, activities, and agent outputs remain in separate silos, limiting the understanding of relationships and the reuse of knowledge
TD-451 Conversational Widget Canvas
Text alone is not sufficient for convenient handling of forms, tables, and interactive results generated by an assistant within a conversation
TD-452 Agent Pipeline Copilot
Building multi-step agent processes requires specialized knowledge of step sequencing, tools, and context transfer
TD-453 Twin Solution Marketplace
Ready-made agents, automations, interface components, and knowledge packages are difficult to discover and deploy again across teams
TD-454 Agent Quality Lab
Manual agent validation covers too few scenarios and fails to detect regressions before release to users
TD-455 National Infrastructure Connectors
Public institutions need to use national services and registries without building every integration from scratch
TD-456 Agent Action Ledger
Autonomous operations must be reproducible, auditable, and reversible when a sequence of actions produces an unwanted outcome
TD-457 Learning Experience Hub
Training content, assistant conversations, and progress measurement operate separately, making it difficult to personalize learning and identify competency gaps
PA-458 Context Compression Gateway
Long conversations exceed model limits and increase costs even though only part of the earlier context is needed for the next response
PA-459 Agent Operations Console
Administrators lack a single view of which agent instances are running, what profiles they use, and whether they behave as expected
PA-460 Intelligent Audit Logs
Raw logs are scattered and lack business context, making event analysis and the preparation of audit evidence unnecessarily slow
PA-461 RAG Operations Center
Without unified oversight, it is difficult to assess source quality, retrieval effectiveness, latency, and the causes of weak knowledge-grounded responses
PA-462 Behavioral Risk Scoring
Unusual user behavior and sudden changes in AI usage patterns may remain unnoticed until damage occurs
PA-463 AI Governance Compliance Pack
Requirements from standards and European regulations are fragmented, while teams need a consistent set of controls and audit-ready evidence
PA-464 AI Impact Assessment Workspace
Before deploying an AI use case, its impact on people, data, processes, and the organization must be assessed consistently, with decision rationale retained
PA-465 AI Data Quality Manager
Inconsistent, incomplete, or outdated data reduces model reliability, yet data quality is often neither measured nor assigned to accountable owners
PA-466 Immutable AI Audit Trail
Auditors and process owners need a tamper-resistant history of decisions, configuration changes, and model usage
CD-467 ARS Assessment Copilot
An ARS assessment requires extensive evidence gathering and interpretation of criteria, which prolongs the team's work without expert support
CD-468 F0-AC-01 Control Assistant
Completing the F0-AC-01 control requires consistent links between answers, documents, responsibilities, and execution status
CD-469 Statement of Applicability Copilot
The rationale for applying or excluding safeguards must be complete, current, and linked to evidence in order to pass a compliance review
CD-470 ASIA Assessment Assistant
Assessing the impact and risk of an AI system requires structured guidance through criteria and related artifacts
CD-471 AIMS Management Assistant
Managing an AI system according to the adopted methodology requires continuous access to the correct procedures, records, and implementation guidance
CD-472 Cognitive SLA Metrics
Traditional technical indicators do not show whether an assistant actually saves time, improves decisions, and delivers responses of the expected value
CD-473 F6 Reporting Workspace
Preparing F6 reports from multiple projects and sources consumes time and makes it difficult to maintain a consistent data scope
CD-474 Compliance Timeline Alerts
Compliance deadlines can be missed when they depend on multiple dates, owners, and stages of a case
CD-475 Planning Alerts
Users need timely reminders about planned tasks to reduce delays and the manual tracking of commitments
CD-476 Access & Knowledge Governance
Access to projects and materials must reflect each user's role and responsibilities without granting excessive permissions
TD-477 Document Metadata Fabric
Rigid document fields restrict filtering, access rules, and search based on organization-specific attributes
TD-478 TwinDesk MCP Gateway
Tools created within the product should also be available to external automation and development environments through a controlled interface
TD-479 Role-Aware Assistant Policies
The same assistant should respond differently according to a user's permissions, responsibilities, and type without maintaining multiple separate configurations
TD-480 Secure Knowledge Handover
Before an extended absence, knowledge about open matters and decision context must be transferred securely to a substitute
TD-481 Enterprise Task Registry
Tasks originate in many conversations and processes, so without a shared registry it is difficult to determine ownership, deadlines, and completion status
TD-482 n8n Automation Connector
Automations maintained outside the product need a simple way to invoke agents, pass data, and receive results
TD-483 Embeddable Knowledge Chat
Organizations want to make an assistant available on existing websites without rebuilding the site or creating a separate interface
TD-484 Resource Quota Control
Model and infrastructure consumption must be controlled by user, team, or project to prevent overload and unplanned costs
TD-485 Local Log Analyst
Diagnosing workstation failures requires manual review of many technical files and specialist administrator knowledge
TD-486 Local File Conversation Bridge
Users waste time manually locating local files and attaching them to conversations, especially when they do not remember the exact location
PA-487 Cache Efficiency Monitor
A low cache hit rate unnecessarily increases cost and latency, while the cause of the decline often goes unnoticed
PA-488 Denial-of-Wallet Guard
Unlimited or malicious requests can rapidly exhaust an organization's budget before an administrator notices the increase in usage
PA-489 Semantic Cache Engine
Repeated questions continue to consume expensive model capacity when semantic similarity is not used effectively to reuse responses
PA-490 Policy Decision Explainer
Users and auditors must understand why a request was blocked or modified instead of receiving only a refusal message
PA-491 Response Transformation Layer
Model responses often require data masking, format validation, filtering, or enrichment before they can be passed to an application
PA-492 AI Risk Register
Risks related to AI systems are scattered across documents and spreadsheets, making it difficult to track owners, actions, and exposure levels
PA-493 Model Lifecycle Hub
Models move through assessment, testing, publication, and retirement, while the absence of a consistent version history makes change management unsafe
PA-494 Human Oversight Console
High-impact decisions require clearly defined human control points, accountability, and the ability to stop automation
PA-495 AI Compliance Evidence Center
Compliance evidence quickly becomes outdated and is stored in many places, increasing the cost of preparing for an inspection
PA-496 AI Systems Inventory
An organization cannot manage risk effectively if it does not know all deployed systems, owners, models, and intended uses
PA-497 Model Approval Workflow
A new model should be released only after the appropriate people document and approve its quality, security, cost, and compliance assessment
PA-498 Response Quality Monitor
Declines in response accuracy, completeness, or safety may remain invisible without continuous measurement against the expected level
CD-499 Unified Identity Layer
Users need consistent sign-in and permission recognition across components without creating multiple accounts
CD-500 Security Control Center
Protective controls and security events are difficult to oversee when configuration and safeguard status are distributed across systems
CD-501 WORM Deployment Logging
Implementation information must be recorded in a tamper-resistant way so that the process and accountability can be demonstrated later
CD-502 Immutable Records Vault
Records with high evidentiary value require protection against deletion or modification throughout the required retention period
TD-428 TwinDesk Mobile Assistant
Field employees and executives need access to the company assistant from a phone without having to start a workstation
TD-429 TwinDesk Offline Mobile
A lack of connectivity should not block access to previously shared knowledge and essential assistant capabilities on a mobile device
TD-503 Cognitive SLA Registry
Commitments regarding assistant quality and effectiveness should be measured and accounted for in one place using consistent definitions
TD-506 Notification Center
Messages from different processes get lost across multiple channels, so users need one view of events requiring attention
TD-507 Local Application Inventory
Technical support lacks current information about software installed on a user's computer, extending diagnosis and ticket handling time
TD-508 Local Document Creation Studio
Preparing documents, presentations, and spreadsheets requires switching applications and manually transferring content from a conversation
TD-509 Local MCP Registry
Local tools are difficult to discover and control without an inventory of their configuration, permissions, and availability
TD-512 AI Document Focus Editor
When working with long documents, users need to modify a selected section without risking unintended changes to the remaining content
PA-520 Model Catalog with workflow
Administrators need a single catalog of available models, versions, parameters, owners, and approved uses
PA-521 AI Incident Command
AI-related events require coordinated registration, impact assessment, accountability, and corrective action
PA-522 Compliance Documentation Center ISO 42001/EU AI Act
Creating and updating required control materials is labor-intensive when evidence and templates remain scattered
PA-524 AI Cost Optimization Advisor
After services go live, sources of excessive spending must be identified continuously and changes recommended without reducing response quality
CD-526 AI Concern Intake Portal
Employees need a simple and confidential channel for raising concerns about AI behavior, together with visibility into subsequent actions
CD-527 AI Concern Mail Intake
Reports submitted by email should be recognized, organized, and assigned automatically without manual re-entry
CD-528 AI Concern Case Management
Cases arriving through different channels require a shared record of status, communication, evidence, and corrective actions
CD-529 AI Concern Triage Matrix
Each report must quickly reach the correct category and accountable people to avoid inactivity or duplicated effort
CD-530 AI Concern SLA Control
Critical cases require measurable response deadlines and automatic escalation when thresholds are exceeded
CD-531 Immutable Concern Audit
The history of sensitive case handling must be resistant to modification in order to preserve the evidentiary value of decisions and actions
CD-532 F6-AFC-01 Concern Register
Required information about concerns and actions taken must be complete and available in a structure compliant with the F6-AFC-01 form
CD-533 AIMS-ASIA Concern Bridge
Information from reports should feed management and impact-assessment processes without manually copying data between registers
CD-534 CDF Artifact Operating Model
Planning, execution, and monitoring require a shared model of concepts and relationships so that artifacts are not interpreted differently by each module
FAQ
Frequently asked questions
Key information about SAIE architecture, security and implementation
What if an employee can't "talk" to artificial intelligence?
TWIN:DESK has an integrated Prompt Assistant that helps you formulate commands according to the rigorous, effective CRISPE-CDF prompt engineering standard
How can you block the flow of specific files at the stage of uploading them?
Documents are immediately marked as confidential, thanks to which the system permanently blocks the option of using them in conversations conducted using external, cloud AI
Is TWIN:DESK just a text window?
No. TWIN:DESK is a multimodal environment for working with AI: it supports voice commands, analysis of attachments, and also provides a "computer mode", allowing AI agents to independently perform tasks on behalf of the user
How does the interface adapt to people with different levels of technical advancement?
It uses a gradual disclosure mechanism – beginners see a very simple chat, while experts get full access to the terminal and flow automation options
What Polish e-government systems does the platform integrate with?
TWIN:DESK enables deep integration with systems such as EZD RP and EZD PUW, as well as with e-Delivery, KSeF 2.0 and ePUAP authentication systems
Why is TWIN:DESK more than just another open chat with AI?
It is a full-fledged everyday work environment that completely eliminates the problem of lack of institutional memory. It provides secure handling of internal documents or knowledge bases based on rag technology and provides built-in tools for automating tasks and processes
How does the “Model Advice” feature improve the quality of our work?
This is an innovative mode in which the question asked by the employee goes in parallel to up to five selected AI engines. The platform automatically collects their variants, analyzes them and generates one optimal final response, which translates into higher quality of decisions and greater certainty of the results obtained
How can the company control the costs of using artificial intelligence by employees?
With this in mind, a virtual budgeting unit called Twin:Coin was created. It allows you to hide highly complex token price lists and facilitates transparent reporting or limiting costs to specific teams
Does the assistant in TWIN:DESK suggest actions by itself, or do I always have to give him commands?
The system can operate fully proactively – using secure integration with the company's mail, task system or calendar, it automatically generates a daily schedule or proposes summaries of meetings held
What happens when AI can't answer a question due to a lack of data?
Instead of making up answers (so-called hallucinations), TWIN:DESK uses the Register of Deficiencies in Knowledge. This function marks gaps in the source information, thus giving managers a precise signal as to which internal procedures or instructions need to be urgently supplemented
Can I customize the assistant to handle only specific processes of one department?
Yes, by creating dedicated workspaces to which you can give a unique avatar, define strict operating guidelines in the system prompte and assign only specialized tools (e.g. code interpreter for the IT department)
What is the Cognitive Digital Twin in the system and what is it used for?
Digital Twin is a personal AI agent who learns how the user works and uses the accumulated knowledge, documents and history of activities to support everyday tasks. It can help automate repetitive activities, prepare recommendations and implement selected processes, while maintaining the principles of supervision and control specified by the organization
What is the (local) computer agent used for in the TWIN:DESK environment?
This agent allows you to use your personal sources of knowledge, such as local folders on disk, Outlook mail, Microsoft Teams instant messenger or a private calendar. The biggest advantage of this solution is that artificial intelligence can work on these documents completely locally, without the need to load and copy this sensitive data into a central, corporate knowledge base (rag)
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