Late or unpredictable payments?
AI-powered cash flow forecasting reveals patterns in supplier and customer behavior, helping you plan and act ahead of time.
Most organizations already have the data. It sits in ERP systems, IBM i, CRMs, and cloud platforms. The real problem? There is no way to use that data in a way that saves time, reduces effort, or changes outcomes.
Fresche builds practical AI solutions that ensure direct business impact. We work directly with operations, finance, and IT teams to find AI use cases that move the needle, then we prototype quickly, prove value, and scale what works.
Every AI solution we deliver is grounded in the Microsoft ecosystem: Azure AI, Fabric, ML Studio, Databricks, and Azure OpenAI. That means faster results, fewer integration headaches, and stronger alignment with enterprise IT.
Learn what’s possible with AI, where it fits, and how to approach it.
Identify high-impact, low-risk opportunities, grounded in business needs.
Prove value fast with working models built on real data.
Production-ready pipelines with governance, monitoring, and auditability.
From fraud detection to generative analytics, delivered on Azure.
Equip teams to understand, trust, and use AI effectively.
AI-powered cash flow forecasting reveals patterns in supplier and customer behavior, helping you plan and act ahead of time.
We build MLOps frameworks that give your teams the structure to track, govern, and scale ML models without starting from scratch.
Generative analytics lets your teams ask business questions in natural language and get answers instantly, powered by enterprise data.
Want to move fast? Our 3-or 5-day AI in Action Workshop helps teams cut through the noise and build a clear, prioritized roadmap.
Delivered in partnership with Microsoft, this subsidized engagement combines on-site collaboration and technical validation to kickstart AI initiatives without the usual barriers.
What’s included:
Discover how AI and advanced analytics, powered by Microsoft, can turn siloed data into real business value.