Research, Guides & Papers
Whitepapers, mini books, research papers, and practical guides on enterprise AI — governance, observability, production operations, and the SpanForge platform.
The Enterprise AI Delivery Crisis
Enterprise AI investment is accelerating. Delivery is stalling. This whitepaper diagnoses why — and maps a path from perpetual pilots to systems that actually run in production.
RFC-0001: AGENTOBS — Observability Schema Standard for Agentic AI Systems
The full AGENTOBS open specification. Defines the Event Envelope, Namespace Taxonomy, Agent Span Hierarchy, HMAC Audit Chains, PII Redaction Framework, Provider Normalisation, and four Conformance Profiles (Core, Security, Privacy, Enterprise) for standardised AI observability across any LLM provider.
AI in Production: A Practitioner's Guide
A practitioner's guide to shipping, governing, and scaling reliable AI systems. Covers the full arc from prototype to production — observability, governance, failure modes, and the operational disciplines that determine whether AI delivers value.
The AI Execution Gap: Enterprise AI Execution Playbook
Why 94% of enterprises fail to scale AI — and what the successful ones do differently. A diagnostic and capital allocation framework for enterprise AI production readiness, built from analysis of real deployment outcomes.