solutions

Solutions

These are not finished case studies, but problem areas we work in regularly. For each, we describe the typical starting point and the system we build.

Decision Intelligence

Excel and report chaos

Problem
The month-end report is compiled by hand from five people's Excel files; it takes days and is error-prone.
What we build
A consolidation pipeline + KPI dictionary + automated management report.
Expected business value
Typical target: close time dropping from days to hours, a single source of truth.
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Decision Intelligence

Power BI and KPI modernization

Problem
Dashboards exist but definitions are inconsistent, the model is slow, adoption is low.
What we build
A KPI dictionary, a rebuilt semantic model, a simplified dashboard set.
Expected business value
Typical target: the same metric giving the same value in every report, query times dropping noticeably.
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AI Systems & Agents

AI research and document analysis

Problem
Stacks of contracts, reports and regulations are read by hand; finding an answer takes days.
What we build
A document intelligence pipeline: classification, summary, field extraction, sourced Q&A.
Expected business value
Typical target: search and reading time dropping from days to minutes, answers with traceable sources.
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Commercial Intelligence

Pricing and commercial performance

Problem
Price and campaign decisions are made on intuition; their impact is not measured.
What we build
Price architecture + scenario model + margin and elasticity analysis + performance tracking.
Expected business value
Typical target: price decisions becoming traceable and justified.
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Commercial Intelligence

Retail catalog, inflation and pricing reporting applications

Problem
Catalog, cost and inflation data is scattered; there is no regular, reliable reporting for pricing decisions.
What we build
A reporting application that brings catalog and pricing data together; periodic reports and dashboards showing inflation and cost impact.
Expected business value
Typical target: regular, single-screen visibility into pricing and inflation impact.
Legal note
Reporting is done only with data sources the company is legally entitled to access; no data collection is done in violation of regulations.
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Decision Applications

Internal decision tools

Problem
The model in Excel, approval in email; the decision trail is lost.
What we build
An internal tool that brings model output and the approval step onto one screen.
Expected business value
Typical target: faster decisions, an auditable approval trail.
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AI Systems & Agents

AI agents for workflows

Problem
Repetitive multi-step tasks (collecting, summarizing, data entry) eat up people's time.
What we build
Human-approved agent workflows + a monitoring and eval layer.
Expected business value
Typical target: a measurable reduction in operational load, controlled automation.
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AI & Analytics Enablement

AI and analytics training programs

Problem
Tools bought, adoption low; the team is unsure.
What we build
A role-based program: workshops, a prompt library, an internal guide, before/after measurement.
Expected business value
Typical target: the tool investment turning into real adoption.
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Commercial Intelligence

Customer acquisition and deepening

Problem
New, returning and multi-channel customers aren't retained in the early period; product and service usage stays low.
What we build
Onboarding flows by customer segment, campaign setups and periodic tracking reports.
Expected business value
Typical target: higher customer retention, rising revenue and product count per customer.
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Decision Applications

From decision model to working product

Problem
The decision model or analytics output is ready but doesn't become a real product the team can use; development drags on, delivery slips.
What we build
A clarified product spec, a working MVP that carries the decision model (internal tool, web or mobile), a repeatable build and test flow.
Expected business value
Typical target: a first release in weeks, predictable iterations afterward.
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