CASE STUDY

Project Jarvis

 

Rebuilding with Curiosity
Delivering with Clarity


THE PROBLEM

AI POTENTIAL WAS DERAILED BY PLATFORM LIMITS AND TEAM DISRUPTION.

DIGINEER HELPED REGROUND THE VISION AND GET IT ACROSS THE FINISH LINE

 

Digineer partnered with a leading healthcare organization to help reset, refocus, and re-architect a high-profile AI project for nursing operations—one that had stalled under complexity, misalignment, and competing priorities. By leaning in with curiosity, clinical insight, and delivery discipline, we helped rebuild the team, reframe the problem, and bring the vision of an AI-powered Nurse Virtual Assistant to life.

 

  • THE BREAKTHROUGH

 

A complete redesign and relaunch of the nurse virtual assistant initiative, driven by real nursing workflows, validated under IRB study conditions, and rebuilt in partnership with clinical, IT, and AI leaders to ensure safety, adoption, and long-term sustainability.

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RESULTS | PROFIT, MULTIPLIED

· 22 Clinical Users enrolled across departments in structured early access.

· 5 HEART Metrics Measured (Happiness, Engagement, Adoption, Retention, Task Success).

· New Production Ownership transitioned to Nursing IT, with built-in pathways for scale and sustainability.

THE FINAL PRODUCT? A GENERATIVE AI-POWERED PATIENT SUMMARY DESIGNED BY NURSES, FOR NURSES. REDUCING COGNITIVE BURDEN, IMPROVING WORKFLOW CLARITY, AND PROVING THAT AI CAN SERVE CLINICAL PRACTICE, NOT JUST THEORY.

STRATEGIC CONSULTING.
PRAGMATIC AI.
REAL RESULTS.

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THE CHALLENGE: A VISION WITHOUT ALIGNMENT, A TEAM WITHOUT MOMENTUM

The Nurse Virtual Assistant initiative began with promise, but quickly ran into friction across teams, timelines, and trust. The technology wasn’t ready, the platform partner couldn’t support the roadmap, and the core project team was at risk of unraveling entirely.

KEY BARRIERS:

Misaligned Stakeholders: Project sponsor and principal innovators were not aligned on the product direction, stalling progress and confidence
Platform & Technical Blockers: The chosen tech stack couldn’t support the vision, flowsheet data issues and content restrictions derailed clinical value
Team Attrition & Political Minefields: Innovators left, engineers were reassigned, and the project was close to collapse without strategic intervention
No Clinical Validation Path: Without IRB-backed studies and cohort testing, the team lacked the evidence to move forward with confidence or compliance.

The result? A promising AI use case that was weeks away from being archived—until the reset.

WHAT WE DELIVERED: REBUILD WITH INTENTION, EXECUTE WITH INSIGHT.

Digineer re-engaged this project with fresh eyes, fierce curiosity, and an unwavering commitment to clarity—supporting the organization through a complete rechartering of the effort and building the foundation for real, validated success.

Strategic Reset & Realignment
Partnered with nursing leaders to rewrite the project charter
Navigated organizational dynamics to realign leadership, product, and engineering
Brought in the UX team for rapid design work and frontline validation

Team Reconstruction & Delivery Leadership
Rebuilt the team with trusted resources from across departments
Reassigned senior engineers and structured a handoff for Nursing IT ownership
Set clear pathways for testing, implementation, and code deployment in the Cloud App Factory (CAF)

IRB Study & Clinical Validation
Created a cohort of 22 early access users across clinical areas
Launched a formal study under IRB using the HEART framework and SUS scoring
Collected real and retrospective user data to validate adoption, engagement, and task success

WHAT THIS MEANS: A PARTNER WHO ASKS THE RIGHT QUESTIONS AND STAYS FOR THE HARD WORK

Digineer didn’t just ship a product, we stood shoulder to shoulder with clinical and technical leaders to ask better questions, rebuild trust, and help this project become what it was always meant to be. We navigated change with care, drove delivery with clarity, and made the entire process feel collaborative, thoughtful, and—above all—possible.

Because real transformation doesn’t come from saying yes.It comes from showing up, staying curious, and getting it right.

 

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DIGINEER

AI That Gets Across the Finish Line

We step in when complexity stalls progress, realign teams around what matters, and deliver AI systems that are validated, adopted, and built to scale.