What we're exploring now.
The following areas reflect our main focus regarding applied AI implemetation where FASLab has already built or is actively working on concrete approaches.
They represent current experiments, not the fixed perimeter of the Lab.
Process and workflow AI
CORTEX
Experimental instrument
Working asset · active experimentation
How can AI help determine where it actually belongs within a real business process?
CORTEX breaks down a process / workflow step by step to examine how work is performed, where decisions and exceptions occur, what information is required, and where cognitive or operational friction sits.
AI governance and accountability
GAIA
Experimental instrument
Working asset · active experimentation
AI use case
GovernanceAccountabilityCostRiskHow can an organization gather a coherent view on its AI use, understand its real AI exposure, assess the risks created by actual use cases, and determine whether it is mature enough and ready to govern and scale AI responsibly?
Current work focuses on building and testing approaches to AI inventories, use-case risk, accountability, organizational readiness, third-party exposure, organizational & governance readiness and cost visibility.
AI-augmented professional work
Persistent AI workbench
Experimental environment
Working environment · ongoing use
Knowledge BaseMultimodal IntelligenceAI workbenchPermament MemoryLearning agents
How can GenAI support day-to-day knowledge work without losing context, traceability or professional judgment?
Current exploration includes persistent memory, reusable organizational context, evidence-aware reasoning, multi-step work across documents and tools, and explicit human review.
Value and decision quality
ValueTrace
Experimental asset
Method in development · first stage experimentation
Claim→Evidence→Decision
How can stronger evidence and structured reasoning improve prioritization, governance and investment decisions for project portfolio managers?
ValueTrace focuses on Portfolio Management by exploring claimed value, supporting evidence, value leakage, weak assumptions and trade-offs in order to improve decision quality, prioritization and arbitration.
Emerging experiments.
FASLab is not limited to the areas above.
AgentsEvaluationMemoryOrchestrationControlsDecision support
Some may become reusable capabilities while some may remain conceptual or even abandoned if there's no added value.
That is the core mission of the Lab.