Use business data in AI with clear rules
We help companies set rules that define what data individual AI tools may process, where it may be processed, and who has access to it. The same rules apply across the whole company, regardless of the tools and technical environment used. We also help you use business data and documents as a source of information for AI, so employees can get answers from your own materials and trace the sources used.
Leaders in automotive, banking, and telecommunications rely on our solutions
What you need to resolve when working with data and AI
Using AI in a company raises questions that choosing a tool does not answer. Employees need to know which data they may work with, and the company needs an overview of the rules for using it.
Rules for using business data in AI
The foundation is deciding which data may be used when working with AI, under what conditions, and who may access it. The rules have to reflect your company's requirements and the legal and security conditions that apply to each type of data.
Classifying data by protection requirements
Different categories of data may be subject to different processing rules. When classifying them, we consider, for example, trade secrets, specific confidentiality obligations, and requirements for higher-risk processing. The classification decision belongs to your company; we provide the input for it and propose how to apply the agreed rules to the use of AI.
Defining where data may be processed
For each data category, we set the conditions for using it in public AI services, rented infrastructure, or your own company environment, including when data may leave the company environment and under what conditions it may be transferred between systems. Public AI tools →
Managing access permissions
The rules define who may access specific data and what they may do with it. The design takes into account user identity, permissions, and records of activities; the same restrictions must also apply to information that AI provides in answers or exports.
Retention of data and records
The company decides how long each type of data may be kept. We distinguish between information used during work and records that should remain available after it is finished.
Shared rules available to employees
The rules for working with AI and data are in one binding place, with a designated owner and an effective date. Employees find there which data they may enter into a specific tool and which restrictions apply; we test usability by checking whether they can apply the rules correctly in a specific task. Preparing and introducing these rules is part of AI Buddy. How people work →
List of approved AI tools
A catalog of approved tools showing which tasks and data types each may be used for, and a procedure for requesting another tool, with assigned responsibility and a response time. Tools for work →
Consistent data rules for all AI tools
Different teams may use different AI tools and technical environments. The rules for processing business data, however, must be shared, so that different solutions do not apply different or conflicting conditions.
Shared classification and data usage rules
Public AI services, the company work environment, and your own infrastructure all follow the same rules: a shared data classification, the list of approved tools, access rules, and requirements for activity records. Each environment applies them according to its technical capabilities.
We distinguish between a rule and its technical control
Not every rule can be enforced automatically. In the design, we always determine which restrictions a technical solution can check and which rely on employees following internal procedures. We do not present an organizational rule as technical protection.
Technical control where the environment allows it
If a control layer can be placed between the user and the AI service, it can, depending on its capabilities, recognize data categories, block disallowed inputs, and record the checks performed. The scope depends on the service, the architecture, and the configured rules. Infrastructure →
Rules when using public AI services
With public AI tools, not all required controls may be technically available. In that case, compliance also has to be ensured through internal procedures, approved tools, and employee training; we name the limits of the specific solution before deployment. Public AI tools →
A separate environment for data with stricter requirements
If data cannot be processed in public AI services, we design a suitable environment of your own or rented capacity, so employees can use AI for sensitive tasks without unnecessary changes to how they work.
Responsibility for rules and regulatory obligations
The company decides on data classification, usage rules, and the measures it adopts, including data protection assessments, risk classification of AI systems, required records, and internal policies. Our role is to prepare technical input, point out the limits of the solution, and help reflect the approved rules in its design.
Ask about your business data in your own words
Smart Data Intelligence is our solution in this area. It lets employees get answers to questions from business data without searching individual systems manually or preparing every report separately. A user asks a question in plain language, and the solution prepares an answer from available business sources, with a table, chart, and references to the underlying data where useful. Access to information follows the user's permissions; the sources used and how they were processed can be traced afterward.
For managers and specialists
Managers, financial analysts, and HR specialists ask in their own words. Instead of writing a request for an analyst, they get an answer to a specific question based on the data they are authorized to access. For example:
For IT and data teams
Smart Data Intelligence works with existing business data sources and builds on their current structure. In the design, we assess how to make the required information available without unnecessarily moving data to another store. The solution can:
- Select and process data from databases, data lakes, and existing reporting systems.
- Work with the meaning of a question and find the data needed to build the answer.
- Take into account the context of available information and access rules.
- Provide references to the sources used and the basis for verifying the result.
What Smart Data Intelligence gives you
Easier access to business information
Answers to routine questions without preparing a separate report or searching several systems.
Consistent metrics across teams
Shared metric definitions and data sources, so departments use the same basis for their calculations.
Fewer routine requests for analysts
Authorized users handle routine questions themselves; analysts focus on deeper analysis.
Closer look at results
Data can be analyzed by segment, comparing periods, departments, or other categories.
An overview of trends and changes
Comparing results and tracking their development without repeated manual data preparation.
Answers you can verify
Answers include what is needed to trace the sources; processing and exports respect access permissions and activity records.
A trial on your own data
We can test Smart Data Intelligence on a specific question you currently handle manually. Together we choose a suitable task, assess the available data sources, and prepare an initial trial that takes into account access rules and the requirements for where and how your data is processed.
What you get
Employees know which data they may use in AI
The rules and the list of approved tools are in one place.
The same rules across the whole company
Data classification and usage rules apply in all areas of AI adoption, regardless of the tool.
A clear distinction between technical and organizational measures
For each rule, it is defined whether it is checked technically or depends on internal procedures and people.
An overview of data access
Rules and technical settings define who may access specific information; activity records support verification afterward.
Use of AI according to approved rules
The company has the conditions for managed AI use, instead of each person deciding which tools and data are appropriate.
Answers from business materials with traceable sources
Smart Data Intelligence lets you work with your own data sources and verify the basis of answers afterward.
What this area does not include
Deciding data classification on the company's behalf
We prepare input and recommendations, but your company decides how data is classified and which rules apply to its use.
Technical enforcement of all rules in any environment
Technical control depends on the tools and the architecture. Where enforcement is not available, rules need organizational measures.
Automatically ensured legal compliance
Assessments of data protection, AI system risks, and regulatory obligations remain your company's responsibility; we provide input and technical support.
Designing and operating AI infrastructure
This area defines the rules for working with data; the technical environment in which AI runs is handled separately. Infrastructure →
Replacing existing data systems
Smart Data Intelligence builds on business data sources; it does not replace the data warehouse or data management systems.
Assessing employee performance
Access permissions and activity records are used to manage access, check rules, and verify afterward, not to assess people.
How to get started
In the first meeting, we can focus on a specific question: an AI tool where it is unclear which data may be entered, or business information you want to make easier for employees to access.
Together we assess existing rules, available data sources, and technical options. We determine which decisions the company needs to make and where it makes sense to add technical measures or a solution for working with your own data. Overview of all areas AI adoption →
Pick one piece of work that slows you down
One specific task is enough for the first meeting. No commitment.