arXiv:2603.14805v2 Announce Type: replace
Abstract: Enterprise software organizations accumulate critical institutional knowledge – architectural decisions, deployment procedures, compliance policies, incident playbooks – yet this knowledge remains trapped in formats designed for human interpretation. The bottleneck to effective agentic software development is not model capability but knowledge architecture. When any knowledge consumer – an autonomous AI agent, a newly onboarded engineer, or a senior developer – encounters an enterprise task without institutional context, the result is guesswork, correction cascades, and a disproportionate tax on senior engineers who must manually supply what others cannot infer.
This paper introduces Knowledge Activation, a framework that specializes AI Skills – the open standard for agent-consumable knowledge – into structured, governance-aware Atomic Knowledge Units (AKUs) for institutional knowledge delivery. Rather than retrieving documents for interpretation, AKUs deliver action – ready specifications encoding what to do, which tools to use, what constraints to respect, and where to go next – so that agents act correctly and engineers receive institutionally grounded guidance without reconstructing organizational context from scratch.
AKUs form a composable knowledge graph that agents traverse at runtime – compressing onboarding, reducing cross – team friction, and eliminating correction cascades. The paper formalizes the resource constraints that make this architecture necessary, specifies the AKU schema and deployment architecture, and grounds long – term maintenance in knowledge commons practice.
A Yahoo deployment surveying 67 engineers shows statistically significant developer-experience gains – 2.6 hours per week saved, Net Promoter Score +35. Organizations that architect their institutional knowledge for the agentic era will outperform those that invest solely in model capability.