Putting AI to work
Practical AI integration with Azure AI and the Power Platform
AI initiatives often fail on data quality. Many pilots run without delivering real business value.
Typical situations where this challenge surfaces
If one of these cases sounds familiar, it usually pays to take a closer look at process, data and ownership.
An AI project that goes nowhere
A company invests in an AI project for product recommendations, but data quality is too poor. The model returns unusable results and the project is shut down.
A chatbot that does not help
A chatbot goes live but can only handle the simplest questions. Customers are frustrated because the bot does not help, and the team still processes every request manually.
An ML model with no integration
Data scientists build a working ML model, but no one knows how to integrate it with the existing processes. The model stays an isolated experiment.
What's really behind it
AI initiatives often fail on data quality. Many pilots run without delivering real business value.
AI projects fail because of poor data quality and a missing data foundation
Pilots without a clear business case or measurable ROI
No integration with existing processes and systems
Unrealistic expectations of what AI can do
A lack of know-how for picking sensible AI use cases
What we change together
We identify realistic use cases and integrate AI in a practical way into the processes you already run.
Pragmatic use-case selection with a clear business value
Data quality assessment and preparation
Low-code AI with AI Builder for early wins
Integration into Dynamics 365 and existing processes
What gets noticeably better for your team
No technology for technology's sake — the value has to be visible in daily work.
Practical AI solutions with measurable ROI
Early wins thanks to the low-code AI Builder
Seamless integration into existing processes
Automation of complex tasks (such as document processing)
Better decisions powered by predictive analytics
How we start without overloading
Depending on maturity, we start small, validate the value and then expand in a controlled way.
Assessment
We clarify the problem, priority, value and the smallest sensible starting point.
Rapid Delivery
A clearly scoped process is made visible and usable quickly.
Full Implementation
For end-to-end solutions with data model, governance and rollout.
Use-case workshop
Identify realistic AI use cases with measurable business value. Separate quick wins from strategic projects.
Data readiness
Assess data quality and availability. Prepare and enrich the data for the AI models.
Quick win with AI Builder
Deliver simple but high-impact AI features with AI Builder — for example document recognition or sentiment analysis.
Custom AI integration
Build and integrate more advanced AI models with Azure ML, embedded into Dynamics 365 and Power Apps.
Scaling & optimisation
Monitor AI performance, retrain models continuously and extend to further use cases.
Technology as a means, not an end
We pick Dynamics 365, the Power Platform and Azure so they fit your process, your governance and your team.
Power Platform AI
AI Builder - low-code AI modelsAzure AI Services
Azure OpenAI Service - GPT-4 & ChatGPTAzure Cognitive Services - Vision, Speech, LanguageAzure Machine Learning - custom ML modelsAzure Bot Service - intelligent chatbotsDynamics 365 AI
Customer Insights - next best actionWhat the solution can look like
Indicative building blocks from Dynamics 365 and the Power Platform. The exact shape emerges from your process.
Example view
AI Builder inside Power Automate
AI-driven document processing inside automated workflows — no code required
Example view
Dynamics 365 Sales Insights
Predictive lead scoring and next-best actions delivered directly inside the CRM
Example view
Azure OpenAI integration
GPT-4 integrated into Power Apps for intelligent assistants and content generation
Often relevant in these industries
Industry helps frame the picture. What matters most is the specific process inside your company.
Related challenges
Scattered Customer Data, No Complete Picture
Customer data scattered across CRM, ERP and Excel. An incomplete view leads to poor decisions.
Manual processes
Email and spreadsheets are error-prone, and a lot of time is lost to routine work.
ERP-CRM gap & finance data silo
CRM and ERP live in separate worlds. Master data, orders and invoices are reconciled by hand — with delays, errors and duplicate maintenance.
Contact & Initial Consultation
Let's discuss your challenges
Free Initial Consultation
In a free initial consultation, we identify the levers with the greatest benefit and outline a feasible path to implementation.
- Analysis of your current challenges
- Evaluation of solution approaches
- Roadmap for implementation
info@theiasolutions.ch
Phone
044 561 56 83
Address
Wasserwerkstrasse 2
8006 Zürich