TurningWays Labs is the applied AI experimentation unit of TurningWays, helping organizations convert uncertainty into validated insight through structured, AI-powered experimentation.
Book an Innovation ConsultationMost innovation initiatives stumble not because of poor ideas, but because of poor decision quality.
Innovation cycles take months before learning what doesn't work.
Resources committed before understanding true feasibility and fit.
Technical, operational, and compliance risks surface after significant investment.
Strategy built on assumptions rather than validated insight.
We shift the innovation paradigm from commitment to exploration.
Test hypotheses with real prototypes before making resource commitments or architectural decisions.
Generate validated insights rapidly, reducing time-to-learning and improving decision confidence.
Build clarity through structured experimentation, not speculation or consensus-building exercises.
Leverage AI to compress experimentation cycles while maintaining enterprise standards for security and governance.
A systematic path from uncertainty to validated decision-making.
AI Analysis Engine
Rapid Prototyping Layer
Test Framework
Prototype / Proof of Concept
Risk / Feasibility Assessment
Evidence-based Decision
Proceed
Refine
Pause
Stop
Enterprise Delivery
Internal Systems
Future Scaling
TurningWays Labs exists to intercept risk early and enable confident, evidence-based decisions before scale.
A structured, four-step process designed for rapid learning and risk reduction.
We work with your team to translate concepts into testable hypotheses with clear success criteria and learning objectives.
Leverage AI to rapidly assess technical feasibility, identify risks, and explore solution approaches before building.
Create working prototypes designed as learning artifacts to validate assumptions and surface unknowns—not as production-ready systems.
Synthesize findings into clear go/refine/stop recommendations with documented risks, opportunities, and next-step options.
Important: All prototypes are built as learning instruments, not final products. They exist to answer questions and reduce uncertainty before scaling decisions are made.
Tangible outputs designed to inform decisions, not replace them.
Working models built to test specific assumptions and validate concepts, not for production deployment.
Demonstrated feasibility of key technical approaches and integration patterns within your environment.
Clear documentation of technical, operational, and compliance risks identified through experimentation.
Structured guidance: go forward, refine the approach, or stop—with evidence-based rationale for each path.
Illustrative examples of experiments conducted to validate hypotheses and reduce risk.
Tested loan and credit obligation tracking for compliance assurance.
Validated data integration feasibility and assessed user workflow impacts.
Validated AI-powered facility access monitoring.
Assessed accuracy of detection models, privacy considerations, and integration with existing security infrastructure.
Validated AI-driven order-to-cash workflow automation.
Tested automation accuracy, error handling requirements, and impact on finance team operations.
We measure success by the quality of insight generated, not just deliverables produced.
Number of assumptions validated or invalidated through structured experimentation.
Technical, operational, and compliance risks identified and quantified before scaling.
Speed at which validated learning is generated and decisions can be made.
Assessment of organizational, technical, and cultural readiness for potential scaling.
Clarity and alignment achieved through evidence-based recommendations.
Improvement in the confidence and defensibility of strategic commitments.
Enterprise leaders navigating the complexity of AI-driven transformation.
Enterprise-grade standards applied to every experiment.
All experiments conducted within secure, controlled environments.
Clear agreements on intellectual property and work product ownership.
Strict data handling and non-disclosure protocols throughout engagements.
Regulatory and industry standards considered in all experimental design.
Let's help you to validate your next big idea with clarity and confidence.
Book an Innovation Consultation