Applications with built-in AI assistants for specific tasks.

We create new applications and panels where AI is part of everyday work: it helps analyze documents, summarize cases, read statuses, watch budgets, suggest next steps and answer in the context of company data.

Let’s talk about AI Web applications

ContextAI knows data and roles

Decisionsclear summaries

Securityaccess control and logs

DocumentsSummaries, classification and fast information retrieval. DataAnalysis of statuses, logs, history and recurring decisions. ControlAI works within permissions, processses and responsibility.

AI analyzing company data, documents and processses

AI inside the application

AI brings the most value when the assistant knows the work context.

We design applications where the AI assistant is not a separate window for show, but a real system function. In a notarial application it can help analyze cases, documents, statuses and next actions. In a system for a renovation and finishing company it can summarize the project, budget, schedule, client communication and operational risks.

A similar mechanism can be implemented in client panels, document portals, CRMs, workflow systems and internal applications. What matters most is that AI works on the right data, with the right permissions and in the place where the user actually makes decisions.

summaries of cases, tasks and documents

semantic search in company data

assistants in panels and portals

classification, alerts and action recommendations

Sensible implementation

We start AI with a specific problem, not a flashy slogan.

First we choose an area where AI can relieve the team: documents, statuses, customer service, reporting or search. Then we design a small, measurable stage that can be tested without risk to the whole organization.

Use-case selection

We choose a processs where AI will genuinely shorten work or improve decision quality.

Data and access

We check data sources, user roles, constraints and the control mechanisms needed.

Assistant in the application

We implement the first AI function in a real system screen, alongside documents, statuses or tasks.

Measurement and growth

We evaluate answer quality, time saved for the team and the next sensible scenarios.

Outcome

An AI assistant that is part of the application, not a random add-on.

We can start with one function: project summaries, document analysis, intelligent search, next-step recommendations or an assistant in the panel. Then we develop it in stages together with the application.

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Less manual analysisAI helps processs documents, statuses and work history.

Faster access to knowledgeUsers find context faster without digging through many screens.

Safer implementationPermissions, logs and restrictions are designed from the start.

Real expansionNew scenarios can be added in stages after value has been verified.