Research Gaps
Identified gaps in the current research landscape for long-horizon agentic systems. These represent both unsolved problems and startup opportunities.
CRITICAL PRIORITY — 4 gaps identified
Long-Horizon Benchmark Standardization
No standardized benchmark exists for evaluating agents on 100+ step workflows in enterprise contexts. Current benchmarks (GAIA, WebArena) max out at ~20 steps.
Agent Drift Detection and Correction
While agent drift is well-characterized, no production-ready detection and correction system exists. Enterprises lack tooling to detect semantic degradation in real-time.
Multi-Agent Failure Propagation
How failures propagate through multi-agent systems is poorly understood. A single agent failure can cascade through an entire workflow in ways that are hard to predict or contain.
Formal Governance Frameworks for Regulated Industries
No comprehensive governance framework exists that satisfies the requirements of regulated industries (finance, healthcare, legal) for Zone III autonomous agent deployment.
HIGH PRIORITY — 3 gaps identified
Enterprise-Specific Fine-Tuning Methodology
No systematic methodology exists for fine-tuning foundation models on enterprise-specific workflows, constraints, and domain knowledge at scale.
Cross-Session State Continuity
Maintaining coherent agent state across multiple sessions, system restarts, and model updates remains an unsolved problem for enterprise deployments.
Economic Optimization for Agentic Workflows
No systematic framework exists for optimizing the cost-quality trade-off in agentic workflows — when to use expensive frontier models vs. cheaper specialized models.