Get in Touch
Our excellent customer support team is ready to help.
AI Jumpstart is a 30-day executive program that defines the structure, rules, and operating model for AI inside your organization.
We don't explore AI. We design how your enterprise will use it.
This is the first step in building enterprise AI capability infrastructure.
Enterprise AI accuracy plateaus at 65–75%. Not because your models are wrong — because your organization's context is broken. Kendall fixes that.
Your organization has invested in the right models. You have the talent. But AI pilots keep producing inconsistent results, and you cannot scale from proof-of-concept to production.
The problem isn't the model. It's the organizational context flowing into it — unstructured, unvalidated, and impossible to audit. We call this the Context Ceiling.
Kendall breaks through it by building the operating layer your enterprise is missing: a systematic, auditable, scalable approach to AI context management.
See how the framework worksA systematic operating methodology for enterprise AI context management — grounded in Lean, TQM, Agile, and ISO/IEC 42001.
Context 360 workshops identify where AI accuracy is breaking down and why. Structured artefacts surface the gap between what your AI receives and what it needs.
Train Context Curators and Context Controllers inside your organization. Internal capability — not external dependency — is the goal.
Build a Context Center of Excellence with a governed, repeatable Context Supply Chain. AI inputs become auditable, reusable, and compliant.
Enforce quality, provenance, and oversight through the Kendall Framework. Meet EU AI Act and ISO/IEC 42001 requirements with a structured, auditable approach.
Context Blocks are modular, standardized units of organizational knowledge — the building material of industrial-grade AI readiness.
"Kendall gave our AI program the operating discipline it was missing. We went from inconsistent outputs across business units to a repeatable, governed process — and the accuracy improvement was immediate."
Microsoft, Google, and McKinsey teach AI fluency and applied tool use. That is the right foundation. But it doesn't solve the reliability problem. Kendall picks up where every other training program stops.
Most AI ladders teach people how to use AI.
Kendall teaches organizations how to make AI reliable.
A practical credential pathway for AI context management practitioners — from foundational operator to organizational leader. Recognized, renewable, and designed for enterprise adoption.
The Kendall Alliance advances the Kendall Context Block Specification (KCBS) — an open, structured schema for defining, governing, and auditing AI context in enterprise environments. Built for EU AI Act and ISO/IEC 42001 compliance.
The Kendall Context Block Specification — an open, machine-readable schema for AI context provenance, quality, and governance.
Structured support for Articles 9, 11, and 13 compliance — risk management, technical documentation, and transparency requirements.
Shape the standard from the inside. Founding members participate in working groups, influence KCBS development, and receive implementation guidance ahead of public release.
KCBS is designed from the ground up to support ISO/IEC 42001 — the first and only certifiable international standard for AI management systems. Every Context Block maps directly to a management system control.
ISO/IEC 42001 is the international standard for AI management systems. KCBS provides the structured context layer that makes each control implementable and auditable.
KCBS Governance Blocks document AI risk context — regulatory exposure, data sensitivity, and potential impact — creating the structured record required for 42001 risk assessment.
Process and Specification Blocks capture the full lifecycle of AI use cases — from objective definition through deployment — producing the technical documentation 42001 requires at each stage.
ARPO quality gates built into KCBS create continuous measurement checkpoints — Access, Retrieval, Provenance, and Oversight — producing the evidence record 42001 monitoring requires.
Context Block provenance fields and version history create an auditable trail — when an AI output fails, KCBS makes it possible to trace the failure to its context root cause and document the corrective action.
Structured engagements designed for organizations serious about AI at scale.
A structured 90-day engagement to diagnose your Context Ceiling, build foundational capability, and establish your AI context operating model.
Deep organizational assessment mapping every AI accuracy failure to its context root cause. Delivers a prioritized Context Supply Chain roadmap.
Full organizational partnership for enterprises building a Context Center of Excellence at scale — with ongoing advisory, unlimited certification, and standards access.
The Kendall Framework synthesizes decades of proven methodology — from Lean Manufacturing to ISO/IEC 42001. Each discipline contributes a specific capability.
Waste elimination and continuous improvement applied to AI context operations — removing everything that doesn't add value to AI accuracy.
Total quality management principles adapted for AI context quality — systematic measurement, error reduction, and governance-by-design.
Sprint-based context development using Context Sprints — iterative, adaptive, and built for the pace of enterprise AI deployment.
Interdependency mapping, feedback loops, and emergent behavior — understanding AI accuracy as a systems problem, not an isolated failure.
Embedded compliance and auditable processes from the start — not added as a compliance layer after the fact.
The Kendall Framework aligns with ISO/IEC 42001, the first and only certifiable international standard for AI management systems.
A 30-minute strategic consultation to identify where your AI accuracy is breaking down and what it would take to scale past the Context Ceiling.
For enterprise teams of 500+. No obligation. Typically 30 minutes.
A practical credential pathway for AI context management practitioners — from foundational operator to organizational leader. Recognized, renewable, issued under the Kendall Alliance.
Each certification level builds on the previous — matching scope of responsibility to credential level.
Self-paced introduction to AI context management and the Kendall Framework. Covers the Context Ceiling, Context Blocks, ARPO quality gates, and the AI Bill of Materials. Earns 10 CDUs toward any Kendall certification.
AI practitioners, business analysts, knowledge managers, and process owners responsible for building and maintaining Context Blocks within a team or use case.
AI program leads, solution architects, and senior practitioners responsible for designing context architectures across multiple use cases and guiding teams of Context Curators.
AI governance leaders, CDAOs, risk and compliance executives, and those responsible for establishing enterprise-wide context governance frameworks and audit readiness.
L&D leaders, training partners, and senior practitioners who will deliver Kendall certification programs internally — building institutional AI context capability at scale.
Kendall certifications are renewed every two years through Context Development Units (CDUs) — ensuring certified practitioners remain current with the evolving field.
One CDU = one hour of professional development in AI context management. Earn CDUs through training, Alliance events, and practice. Annual maintenance: $495/year (waived for Alliance Contributing members and above).
Your status is publicly visible in the credential registry.
Alliance Contributing Members and above have annual maintenance fees waived for all certified employees. Enterprise Unlimited clients receive Founding Alliance membership at no additional cost.
View Alliance membershipEnterprise cohort pricing is available for organizations certifying five or more practitioners simultaneously. Includes registry listing, renewal support bundle, and optional in-house delivery.
The Kendall Alliance advances the Kendall Context Block Specification (KCBS) — an open, machine-readable schema for defining, governing, and auditing AI context in enterprise environments. Supporting compliance with the EU AI Act and ISO/IEC 42001.
Enterprise AI accuracy fails because organizational context is unstructured, undocumented, and impossible to audit. Every organization reinvents the same broken wheel. A common standard changes that.
The Kendall Alliance exists to codify, publish, and maintain the open specification that defines how AI context should be structured, governed, and transferred inside enterprise environments — the same way W3C standardized the web and OASIS standardized business document formats.
With the EU AI Act enforcement deadline of August 2026 creating urgent governance requirements, organizations need a structured, auditable context management framework that demonstrably supports compliance. The Kendall Alliance provides that framework.
An open, structured schema for defining, governing, and auditing AI context in enterprise environments. Published under an open license. Machine-readable. Version-controlled.
KCBS defines Context Blocks in JSON/YAML format — enabling programmatic validation, automated ingestion, and AI-native context retrieval without custom integration work.
The taxonomy covers every type of organizational context AI needs: Process, People, Problems, Goals, Governance, and Specifications — each with defined fields, validation rules, and provenance requirements.
KCBS follows semantic versioning. Organizations can pin to a specific version for stability or adopt new versions as they release — with backward compatibility commitments and migration guides.
Published under an Apache 2.0-like open license. Organizations can implement, extend, and build on KCBS without restriction. Contributions are managed through the Alliance Technical Committee.
Every Context Block in KCBS carries required provenance fields — source, author, validation status, and audit trail — making it suitable for regulated environments and AI governance programs.
The Alliance maintains a public registry of KCBS implementations — enabling organizations to discover compatible tools, share integration patterns, and benchmark against peers.
The Kendall Alliance operates under a transparent, member-governed structure — ensuring KCBS serves the needs of implementing organizations, not a single vendor.
Founding members hold seats on the Alliance Steering Committee — providing strategic direction, approving governance rules, and setting the annual roadmap for KCBS development.
Contributing members participate in the Technical Committee — authoring KCBS extension proposals, reviewing specification changes, and maintaining the public implementation registry.
The Alliance charter, rules of procedure, and Technical Committee deliverables are publicly accessible. All working group decisions are documented and archived.
Alliance membership is available to organizations who want to influence the development of enterprise AI context standards, ensure their implementation needs are represented, and demonstrate public commitment to responsible AI governance.
Shape the Alliance from day one. Founding members join the Steering Committee, hold voting rights on specification changes, and receive public recognition as Alliance founders.
Participate in specification development and ensure your organization's implementation needs are represented in KCBS evolution.
Stay current with KCBS development, access implementation guidance, and connect with the Alliance community before committing to deeper participation.
The form has been successfully submitted.
Our excellent customer support team is ready to help.
Our excellent customer support team is ready to help.
Our excellent customer support team is ready to help.