Pilot Partnership · For Healthcare Organisations
Try one workflow.
We'll show you what changes.
You already know which workflow is causing the most pain.
We propose one workflow defined scope, agreed metrics, clear decision point at the end.
No long implementation. No system replacement. No commitment beyond the pilot.
At the end: real numbers. The decision about what comes next is yours.
We ask for one workflow, one team willing to engage honestly, and a commitment to measuring what actually happened not what everyone hoped would happen.
Research Partnership · For Academic & Research Institutions
Research that reflects healthcare
as it actually operates.
Boolbyte generates structured workflow data from live healthcare operations. We want research partners who help us ask the right questions and whose findings shape how we build.
What we offer
Anonymised, structured operational workflow data from live deployments HIPAA-equivalent compliant
Coordination patterns across all 7 workflows: patient access, triage, intake, scheduling, referrals, documentation, follow-up
The Nigeria context a constrained environment with global health equity implications
Co-authorship on publications arising from joint research
Early visibility into deployment findings and operational patterns
Research that challenges our assumptions not just confirms them
Open research questions
Does AI-driven workflow automation measurably reduce administrative burden in under-resourced health systems and which workflows produce the greatest impact?
What is the relationship between operational coordination quality and patient access rates in low-resource environments?
How do health workers experience the transition from manual to automated coordination and what determines whether adoption succeeds or fails?
What oversight mechanisms are most effective when deploying AI agents in clinical and administrative healthcare workflows?
Can workflow automation serve as a scalable health equity intervention improving access without proportional increases in clinical staff?
What are the downstream clinical effects of consistent pre-charting and structured intake on consultation quality and diagnostic accuracy?
How does systematic follow-up automation affect chronic disease outcomes in populations with historically low follow-up rates?
Technology Partnership · For Technology Companies & Builders
Seven workflow agents.
One infrastructure layer.
Build on it.
Healthcare software has a coordination problem not a data problem. If your users are still doing coordination manually, you can build on infrastructure we've already built. FHIR-native. HIPAA-compliant. Sits alongside existing clinical software.
Integration Partners
System integrators, healthcare IT consultancies, implementation specialists
What you get
Technology Partners
Software companies embedding workflow execution into their products
What you get
EHR & Platform Vendors
Healthcare software platforms adding AI workflow automation capability
What you get
Investor Partnership · For Investors
The AI operations layer for healthcare.
Starting where the problem is most acute.
Healthcare administrative waste costs $285B+ annually in the US alone. The technology to solve it has arrived. The question is not whether this gets built it is who builds it, and where they start.
Why Nigeria first strategically, not just ethically
1:5,000
doctors-to-patients
Forces the product to work without assumptions products built here work everywhere
43k+
health workers emigrated in one year
Builds the most defensible operational dataset in the most constrained environment
↗ Fastest
growing healthcare markets globally
Establishes infrastructure in Sub-Saharan Africa as the market scales
Expansion roadmap
Patient workflow operations
Patient access · Triage · Intake · Scheduling · Referrals · Documentation · Follow-up
Clinical operations
Care coordination · Clinical decision support · Inter-departmental coordination
Revenue cycle & population health
Same infrastructure. Expanding surface area of automatable healthcare work.