capability blueprint
This is not a WEKID product launch schedule. It is a blueprint of reference capabilities that operationalize the WEKID Framework and its two complementary models: the Epistemic Maturity Model, which evaluates the quality and maturity of AI-generated knowledge, and the Decision Authority Model, which governs how much authority may be delegated. Partners and enterprises use the blueprint to decide what to build and in what sequence.
two models, one build strategy
The Blueprint translates both WEKID models into practical capabilities. Some capabilities primarily assess epistemic maturity. Others govern decision authority. Mature implementations connect the two.
These capabilities evaluate Data, Information, Knowledge, Experience, and Wisdom to determine the reliability, applicability, and decision readiness of AI-generated knowledge.
These capabilities translate assessment results, context, risk, and policy into authority boundaries, human-review requirements, escalation paths, and execution controls.
maturity tiers
A practical implementation path that begins with assessment and shared governance language, progresses into runtime controls, and culminates in executive oversight and high-assurance operation.
Certification and risk & autonomy assessment establish shared language and a baseline.
The output governance platform and agentic guardrails put scoring and gating into execution.
Executive dashboards and managed evaluation give leaders visibility and calibrated judgment.
Secure, mission-grade implementations for classified and oversight-heavy environments.
capability summaries
Each capability below can be built by a partner to bring to market, or by an enterprise for internal use, under license.
The credentialing and education program WEKID offers directly—technical and non-technical paths, role-based training, and scenario-based assessment.
A time-boxed engagement that evaluates knowledge maturity, decision-authority exposure, autonomy levels, governance gaps, and immediate risk.
A pre- and post-incident model that identifies near-misses and performs root-cause analysis across both knowledge maturity and delegated decision authority.
A runtime platform that assesses the epistemic maturity of AI outputs and applies the Decision Authority Model before those outputs are acted upon across multiple vendors and architectures.
A specialized Decision Authority control layer for autonomous and semi-autonomous systems that enforces delegated authority limits before tools are invoked or actions are taken.
A non-technical dashboard that surfaces knowledge-maturity trends, delegated authority, escalation activity, autonomy changes, and unresolved governance exceptions.
A managed service combining automated Epistemic Maturity assessment with trained human evaluation for consequential outputs and decisions.
A high-assurance implementation pattern that combines conservative epistemic-maturity thresholds with tightly scoped Decision Authority and mandatory human accountability.
how to use this page
Choose whether your immediate need is to assess epistemic maturity, govern decision authority, or connect both models.
Use the tiers to build in a sensible order—foundation first, high-assurance later.
Decide whether you will sell the capability (partner) or run it in-house (enterprise).
Open discussions on authorization, licensing, and design input before you build.
next step
Select the capabilities needed to assess knowledge maturity, govern decision authority, and build the controls appropriate to your operating environment.