AI for reporting and decisions

Product / Analytics

Reports that explain what changed and what needs attention.

For owners and managers who need clear summaries from sales, operations, service, projects or finance without opening many spreadsheets.

2-7 weekslaunch
daily/weeklysummaries
alertsfor exceptions
Use case

AI reporting should reduce interpretation work, not only draw charts.

We build dashboards, recurring summaries and natural-language reporting over selected company data.

The system can highlight changes, explain likely reasons, list exceptions and prepare a short management note.

KPI and dataset design
Dashboards and recurring summaries
Natural-language data questions
Alerts and exception reports
Business benefits

What the client gains after the first implementation.

The goal is not to add AI for show. The goal is to shorten work, improve consistency and give people better context before decisions.

Less spreadsheet chasing

Managers receive one clean summary instead of many scattered files.

Faster reaction

Alerts point to delays, missing information and unusual changes.

Better meetings

The team starts from the same facts and a clear agenda.

Scalable data culture

The reporting layer can grow with more systems and teams.

Scope

What we deliver in this offer.

The final specification is adjusted after a short analysis, but the starting scope is clear from the first conversation.

Data source review
KPI and report specification
Dashboard or report module
AI summary prompts
Alert and review rules
Implementation process

A controlled path from idea to useful production feature.

AI implementation needs a narrow scope, good test samples and clear responsibility. We build it in stages so the first value appears quickly.

01

Discovery

We choose a business process, define users, data sources, risks and the measurable outcome.

02

Prototype

We prepare the first assistant, prompt flow, document route or automation on a controlled sample.

03

Integration

We connect the solution with the website, panel, CRM, files, database or internal workflow.

04

Testing

We verify answer quality, edge cases, permissions, logging and handover to employees.

05

Launch

We train the team, document the rules and start with a safe production scope.

06

Care

We monitor usage, costs, quality and new scenarios after real feedback.

Pricing and timeline

Analytics packages

The first version should focus on one decision area, not every metric in the company.

2-3 weeks

AI Report Starter

from PLN 9,900 net
  • One dataset
  • KPI summary
  • Weekly AI note
  • Basic dashboard
7-12 weeks

Operational Intelligence

from PLN 45,000 net
  • Custom integrations
  • Role-based reports
  • Exception workflows
  • Care and optimization

Prices are indicative net implementation prices. Third-party model, cloud, licence, infrastructure and non-standard integration costs are estimated separately.

FAQ

Questions before the first AI project.

The most important thing is to start with value, data and responsibility, not with a trend label.

Do we need a data warehouse?

Not for every first project. We can start with exports or one database, then design a stronger data layer if needed.

Can AI be wrong in reports?

AI summaries must be based on controlled data and tested. Critical numbers should come from deterministic calculations, with AI used to explain and prioritize.

Can the report be sent by email?

Yes. Weekly or daily summaries can be sent by email or shown in a panel.

Next step

Choose one process and turn AI into a useful business tool.

A short consultation is enough to select the first use case, estimate the scope and decide whether the best start is an audit, pilot or direct build.

Company Knowledge Assistant2-6 weeks / from PLN 14,900 net
AI Document Desk2-5 weeks / from PLN 12,900 net
AI Workflow Automations1-6 weeks / from PLN 9,900 net
AI Client Assistant2-6 weeks / from PLN 11,900 net
AI Reports & Insights2-7 weeks / from PLN 9,900 net
AI Audit, Roadmap & Governance3-10 days / from PLN 3,900 net