Artificial Intelligence

Artificial Intelligence delivers the next big productivity leap. Some tasks will be automated. Others will be optimized. Yet others will have their human operators augmented. We build the solutions to make AI happen.

Automate with GenAI

From simple data preparation or output formatting to full-blown automatic processes, GenAI speeds up classic processes and reduces human errors.
Leverage contextual voice

Enable your fieldwork to proceed with less typing and interruptions. Build structured data from free-form conversations and notes, and use spoken feedback to increase situational awareness.
Optimize industrial processes

Increase reliability, performance and quality through the application of AI. Solutions like predictive maintenance, scrap reduction, root cause analysis automation and forecasting are the most common solutions.
Put computer vision to work

Spot faulty items on assembly lines, detect suspicious behavior in security cameras, collect data from moving cameras - modern computer vision can do it all.
Set up AI Governance

For a sustained, compliant, and efficient deployment of AI, you need a governance model. Eliminate redundant efforts, reduce regulatory and abuse risk, optimize AI quality.

Four pillars of Enterprise Intelligence

Building AI deep into your organization requires maturity on multiple fronts: data, processes, governance, and AI Technology.
The role of an AI Center of Excellence

For a mature organization taking AI seriously, its governance should be centralized to ensure consistent results. Adopt our tips and guidelines for setting this up.
How to build an AI Business Case?

AI for the sake of AI doesn't produce long-term results. Clarity on the business ROI, key metrics and risks is crucial to move the needle.
What is a deep research agent?

AI can help you mine large data masses and produce succinct outputs that help optimize an information worker's output.

Microsoft delivers the most comprehensive suite of tools for building every aspect of AI - at least when you're in the cloud. Building Enterprise AI takes an enormous family of tools, but the most important ones are:

Microsoft Fabric for data warehousing and movement
Microsoft AI Foundry for straightforward adoption and testing of different models, both basic and customized models
Microsoft AI Search for managing the data augmentation of GenAI solutions
Microsoft 365 User Experiences - either Copilot or Teams bots - for surfacing the GenAI features.

When working on-premises and factory environments in particular, our tooling is more defined by the customer's expectations. Typically, we see Kubernetes clusters, industrial control systems, and monitoring environments. If brands like KEPServer, Honeywell or Valmet DNA ring a bell, then you know we've been walking the same streets.