Project Management for
AI Development
Agile breaks with AI. BIASED is the governance-first framework that aligns business intent with AI behavior, ensuring your models are trustworthy, compliant, and actually adopted.
Why Legacy Frameworks Fail
AI lowers the floor for demos but raises the ceiling for production. Traditional Agile and Scrum can't handle the probabilistic nature of AI.
Drift & Hallucinations
Without continuous evaluation, models degrade. "Done" in Agile doesn't account for behavioral drift.
Governance Bottlenecks
Security and compliance are treated as afterthoughts, causing projects to stall right before release.
Low Adoption
Developers build cool tech, but without clear business intent and change management, users don't trust it.
The BIASED Approach
A comprehensive operating model that connects strategy to execution.
Intent
Define business value first. Move from "User Stories" to "Intent Statements" that define clear outcomes.
- ✅ Business Value Alignment
- ✅ Clear Success Metrics
Behavior
Specify expected AI behaviors. Map intent to deterministic and probabilistic boundaries.
- ✅ Behavior Specifications
- ✅ Edge Case Definition
Evaluation
Test continuously. Catch drift and regression before your customers do.
- ✅ Automated Evals
- ✅ Drift Detection
Governance
Safety by design. Integrate risk, compliance, and security into the daily workflow.
- ✅ Risk Registers
- ✅ Compliance Checks
Adoption
Manage the human side of AI. Focus on trust, training, and workflow integration.
- ✅ UX Workflow Maps
- ✅ Change Management
Stop Building Demos. Start Building Products.
Adopt the framework that turns AI potential into reliable business value.