Why the Most Effective Digital Transformations Start with Just One Problem
Enterprise leaders are under constant pressure to adopt AI, automate workflows, and digitally transform—fast. But too often, those efforts stall before they begin. Why? Because they’re scoped too broadly, lack clear ROI, or fail to address a real pain point.
At Ryse Technologies, we’ve proven a more effective path: Start with one specific business problem. Solve it well. Then scale what works.
We don’t sell software. We solve problems—using AI and Microsoft tools you already own.
Whether it’s a broken forecasting model, inefficient procurement, or disconnected data systems, we help organizations start where the value is most visible—and unlock powerful downstream gains.
Why One Problem Is the Best Place to Start
Our “one-problem” methodology is designed to de-risk innovation. It’s a focused, practical approach to showing business value before investing in broader rollouts.
With just one clearly defined problem, we can:
- Deliver measurable ROI in weeks, not months
- Build internal confidence in AI and automation projects
- Drive adoption across teams by solving what matters most
- Lay the technical and cultural groundwork for broader transformation
It’s not about transformation for its own sake—it’s about impact you can prove.
Customer Wins: How One Problem Became a Scalable Solution
AI-Driven Inventory Forecasting in a Low-Data Environment
A global industrial services provider faced mounting costs from inaccurate inventory forecasts. With over 1,000 SKUs per project and limited historical data, traditional machine learning models failed—resulting in last-minute procurement at up to 5x list price. Worse, opportunity data was siloed in Salesforce, while actual consumption data was trapped in legacy systems.
Ryse stepped in with a focused mission: fix forecasting.
We unified fragmented data in an Azure lakehouse and deployed a fine-tuned Azure OpenAI model with Retrieval-Augmented Generation (RAG). This model interpreted free-text scopes of work and generated SKU-level demand forecasts with nightly refresh cycles. Procurement now receives proactive alerts when stock dips below safety thresholds.
The result?
- SKU Lead-Time Coverage improved from <40% to 92%
- Safety Stock Ratio dropped from 10x to <1.5x on top SKUs
- Planning cycles moved from ad hoc to fully automated
- One shared forecast adopted by Sales, Ops, and Procurement—eliminating finger-pointing
All from solving just one problem.
Our Approach: From Problem to Prototype—Fast
When you submit a challenge to Ryse Technologies, here’s what you can expect:
- Discovery & Framing
We help you identify a high-impact, solvable problem inside your Microsoft stack—no vague goals or buzzword bingo. - Solution Design
Using tools like Dynamics 365, Azure OpenAI, Power Platform, and Fabric Lakehouse, we architect and build a prototype—tailored to your challenge. - Execution & Expansion
Once the solution is proven, we help scale it or replicate the approach across other processes, departments, or regions.
Get Started: Submit One Business Problem Today
You don’t need another software license.
You don’t need a two-year roadmap.
You need a partner who can help you solve one problem that matters—and prove what’s possible with the tech you already have.
