Decision research
Define the decision, baseline, evidence threshold, and cost of being wrong.
Practical AI & Software solutions
Industry focus includes healthcare, financial services, manufacturing, and logistics.
Test workflow safety, technical fit, adoption, and economics before funding a system that touches care.
Current industry focus: healthcare.
Start with the decision, not the technology.
Before research begins, we define the decision, evidence threshold, accountable owners, and stop conditions.
Decision and accountable owner
Evidence required to act
Fund, revise, transfer, or stop
One mandate. Four evidence gates.
Each gate produces a named artifact and ends with a fund, revise, transfer, or stop recommendation.
Technical validation
Test feasibility, reliability, adoption, integration, and failure conditions.
Economic modeling
Make assumptions, downside exposure, and funding gates visible.
Managed R&D
Run a governed portfolio with named owners and explicit review gates.
The plan comes before the claim.
We publish the study design, sample, controls, and limitations before treating anything as evidence.
Planned study. Fieldwork has not started.
The AI Implementation Friction Field Study
Where do established organizations lose confidence, momentum, or economic clarity when they try to move AI from an experiment into an accountable operating workflow?
- Planned interviews
- 60
- Target sample for the initial field cycle
- Adoption stages
- 6
- Six planned stages from curiosity through monitored use
- Record-review target
- 10%
- Target share of interview records checked for quality
Design targets only. Fieldwork has not started and no findings are published.
View the study design
Every record shows what it is.
Architecture examples, historical internal systems, and hypothetical models are classified before they are used as evidence.
Architecture example
Representative healthcare reporting workflow
A representative workflow showing how exported call and clinical reports can move through validated intake, parsing, human review, and role-scoped reporting.
This record describes an implementation pattern. It is not an approved client case study, delivery claim, or client-performance claim.
Open recordFirst-party architecture record
Historical operations control prototype
A historical internal prototype that explored role-scoped access, scheduled ingestion, exception handling, and audit records.
This is a historical first-party architecture record. It does not represent a current service, formal research finding, or client result.
Open recordBring us the question that cannot be answered casually.
Tell us the decision, accountable owner, evidence available, cost of delay, and what would make the result actionable.