What we do
Build stronger systems.
Scale AI with purpose.
Your next priority may be a system that needs to evolve or AI activity that needs a shared direction. SPR helps you address both, bringing hands-on delivery and the support your teams need to put change into practice.
From critical applications to the cloud and data foundations beneath them, we help you decide what to extend, replace, or rebuild and integrate AI where it can create value.
Explore Build & Modernize →Establish a shared direction for AI investment and governance, evolve engineering practices, and redesign how people and AI work together.
Explore Scale AI →Our work
Results our clients can point to.
80% reduction in AI assistant response time
SPR and Concept Elements cut Drive Weather’s trip assistant response time from about 50 seconds to 10 seconds.
Read the story →20 → 180+ hotels using AI-enabled group sales tools
From a pilot to a wider rollout for a global hotel client, including training and adoption support.
Read the story →Modernizing a global manufacturer’s cloud environment
SPR modernized the cloud environment of a global manufacturer, giving it a stronger foundation to build on.
Read the story →Why SPR
We deliver Beyond the Build
We build alongside your teams, sharing the knowledge and practices needed to use and improve what we deliver. Our work includes adoption support and practical guidance so the value continues beyond the initial engagement.
We work alongside your team
SPR consultants embed with your people, not around them, through go-live and after.
You own what we build
Knowledge transfers as we go, so your team can run and extend it without us.
Practices that keep improving
We establish practical ways of working that your teams keep refining after the engagement ends.
“It’s a true partnership versus just selecting a vendor.”
Tera O’Hare, Senior Vice President of Technology, VGM Insurance
Insights
Perspectives from the people doing the work
Designing Trust: UX Principles for Human-in-the-Loop AI Systems
How to design AI experiences with calibrated trust, clear boundaries, and meaningful human oversight.
Read the article →A Practical Guide to AI Pilots: How to Test, Learn, and Scale AI in Your Organization
How to choose the right use case, define success up front, and know when to scale, pivot, or stop.
Read the article →Building a Cloud-first Infrastructure Platform: Lessons from an AWS Transformation
The technical decisions and hard-won lessons from a yearlong cloud modernization for a global manufacturer.
Read the article →Let’s talk about what’s next for your business.
Whether you need to modernize a system, scale AI, or both, we’ll start with your goals.
Build what’s next →
