Case studies · Enterprise AI projects

Enterprise AI case studies from healthcare, government, logistics and industry

theBlue.ai has delivered AI systems, agent platforms, workshops and roadmaps for hospitals and MedTech companies, public institutions including the European Commission, logistics operators, manufacturers and professional services firms. Each case below names the client or the sector, what was built, and what it produced. Several of them run on the client’s own servers, with no cloud involved.

All case studies by industry

Featured project

MedTech · apoQlar

Cutting security questionnaire completion from one month to one week with GenAI

Every new hospital client required a completed security questionnaire, a manual process involving multiple stakeholders, scattered policy inputs, and weeks of internal coordination. We built a GenAI assistant that now completes the process in under one week with a small verification team.

Public affairs · Policy-Insider.AI

The AI platform behind automated political monitoring

Public affairs analysts tracked millions of policy documents across countries and languages by hand. We built the AI layer that monitors, analyses and alerts, from first prototype to market release.

Logistics · Fr. Meyer’s Sohn

Routing data pulled from thousands of shipping emails a day

Operations staff read German and English logistics email every day to pull out routing and scheduling data. A pipeline now extracts it, structures it and delivers it automatically.

Automotive · leading luxury manufacturer

Planning data from SAP BW, asked for in plain language

Product planners queried SAP BW and several data warehouses by hand for every decision, and each query needed someone who knew those systems. A bilingual assistant now retrieves the data on demand.

Healthcare · Tirol Kliniken Innsbruck

Patient data anonymised on the hospital’s own servers

Staff at western Austria’s largest hospital group redacted patient data from thousands of medical documents by hand to meet regulatory requirements. AI now handles it, inside their own infrastructure.

Behind one orchestrator

Public affairs · RPP Group

Five specialised agents that work like an extra team member

Senior consultants spent hours on document analysis, data structuring and drafting, work that crowded out the strategic side. ChatRPP now carries it, in the firm’s own tone and inside their own infrastructure.

Energy & building technology · under NDA

Anomaly detection across more than a hundred devices

Engineers reviewed sensor data from HVAC systems by hand to spot irregularities. AI now watches continuously, detects anomalies, classifies operating modes and flags issues before they escalate.

Telecommunication · Arvato Bertelsmann

Call summaries written by the system, not by the agent

After every customer call, agents typed up a summary by hand. That slowed turnaround and cut into time with customers. Structured summaries are now written automatically.

Manufacturing · Radaway

Order data read straight out of customer email

Orders arrive as free-form email in whatever wording the customer chose. We took an existing LLM system the last stretch to production: semantic product matching, attachment processing and 90 percent less manual work.

Government · European Commission

AI workshops for EU policymakers in Brussels

The European Commission invited theBlue.ai to run AI workshops for politicians and officials: how the technology works, where it is applied across sectors, and what it means for EU policy and regulation.

Healthcare · Ev. Krankenhaus Alsterdorf

Finding epilepsy lesions that manual MRI reading misses

Neurologists scanned brain MRIs visually for epilepsy-causing lesions, which takes expert knowledge and can miss subtle cases. Our models detect them with higher sensitivity than the eye, and the results are published in the peer-reviewed journal Epilepsy Research.

Full de-identification

Pharmaceutical · under NDA

Millions of medical texts read for drug safety signals

Teams read patient feedback, medical notes and social media in five languages looking for drug safety signals. Language models now detect medical entities, de-identify the text and flag adverse events.

Inside their pipeline

Market research · InSaaS.ai

Anonymisation built into the product rather than bolted on after

InSaaS.ai’s analytics product processes large volumes of social media, forum and customer data, all of which can carry personal information. An anonymisation API now sits directly in the pipeline, with no manual step.

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A multi-agent chatbot across eleven knowledge areas

11 areas

One domain agent each

Auto

Routing, no category picking

Government · Polish institution, under NDA

A multi-agent chatbot across eleven knowledge areas

The old chatbot asked citizens to pick a category before asking, and most did not know which one fitted their question. Specialised agents with retrieval now route each question themselves and match plain language to the technical documentation.

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Copilot

Word, Excel, Teams, Outlook

Hands-on

Multiple departments

Standards organisation · GS1 Poland

A Microsoft Copilot workshop built on their own daily work

Staff handled routine document, email and data tasks by hand. We trained the team on Copilot with exercises taken from their actual workflows rather than generic demonstrations.

MedTech · apoQlar

Image segmentation that took hours now takes seconds

Before every surgery someone outlined anatomical structures on MRI and CT scans by hand, slice by slice. AI models now do it automatically.

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Architecture

Predictive maintenance

Roadmap

Phased plan

Automotive · under NDA

From reactive repairs to a predictive maintenance roadmap

Unplanned equipment failures were causing costly production stops. We assessed the existing infrastructure and delivered an architecture for predictive maintenance together with the path to get there.

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Four teams trained to automate their documentation work

4 teams

Sales, recruitment, management, operations

GenAI

Practical training

TIC industry · Control Union Poland

Four teams trained to automate their documentation work

Inspection and certification staff spent a large share of their time on repetitive documentation. We trained teams across four functions on the tools that take that work over.

Manufacturing & IoT · under NDA

Elevator status read from minimal sensors, even offline

Maintenance teams inspected elevators by hand to determine their status. A model now reads position and operating state from few sensors, which lays the groundwork for fleet-wide predictive maintenance.

Healthcare · German Congress of Surgery

A voice assistant answering attendee questions for four days

At Germany’s largest surgical congress, attendees asked staff the same navigation and scheduling questions all day. A voice assistant took those over.

Public affairs · Policy-Insider.AI

EU policy documents summarised instead of read end to end

Analysts spent hours reading long EU policy documents to pull out the key points. AI now reads, summarises and flags the changes that matter, across languages.

HealthTech · rehabilitation

A 3D movement coach that watches physiotherapy at home

Patients recovering from surgery needed a therapist present to check their exercises. A 3D system now watches the movement, spots incorrect form and corrects it, at home.

With source references

MedTech · apoQlar

A retrieval assistant that answers from hundreds of product documents

Support staff searched through hundreds of product documents to answer customer and compliance questions. They now ask in plain language and get an answer with the source it came from.

IoT · RapidLab

People counted on edge devices, without a cloud connection

Staff counted visitors by hand or relied on inaccurate sensors. We built the model for edge devices, deployed in buildings and public transport, running without a cloud connection.

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Four departments, one day, each with their own bottleneck

4 depts

Marketing, legal, technical, operations

Full day

Hands-on

Real estate · under NDA

Four departments, one day, each with their own bottleneck

Every department was doing repetitive document and communication work by hand. A full-day workshop showed each one how to automate its own bottleneck rather than a generic example.

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2 languages

Detected automatically

Live

Voice interaction

HealthTech · Xpomet Medicinale 2024

An AI avatar handling repeat visitor questions at a congress

Visitors at a healthcare innovation congress kept asking the same questions about exhibitors, sessions and directions. An avatar answered them in English and German, so staff could hold the conversations that mattered.

Events · Re-Work

Social media tracked in real time during conferences

Event organisers watched social media by hand during conferences, tracking mentions, gauging sentiment and identifying who was talking about them. That now runs continuously and on its own.

MedTech · apoQlar

Security questionnaires answered in one week instead of one month

Every new hospital client required a completed security questionnaire: eight to ten people, about a month, answers pulled from policies across departments. A GenAI assistant now drafts the responses and a small team verifies them.

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