Core architect of the AI disclosure assertion
The c2pa.ai-disclosure assertion, published in the C2PA 2.4 specification in April 2026, gives AI transparency a machine-readable place in the open content-provenance standard.
Read the specificationFrom the United States to the world
Strategy for markets being rewritten by AI, open standards and trust.
Hkdolts advises boards and leadership teams on the decisions these shifts force on them, then builds the capability to act. Built on more than 15 years of tier-1 consulting, we also help write the rules: our founder is the core architect of the AI disclosure assertion in the open content-provenance standard.
- 01DiagnoseBenchmark performance against leading practice and find the gaps that matter.
- 02DesignTurn gaps into a target operating model, a strategy and a roadmap.
- 03ProveTest the case with feasibility, valuation and plans before capital moves.
- 04BuildStand up the technology, function or venture alongside the client’s team.
- 05Hand overOperate until ready, then transfer with playbooks and training.
Recognized where the rules are written
Our credentials are public and verifiable: published specifications, forum leadership and credited research.
Chair of the Standards Register and the Use Case Task Force
Leads the forum’s open repository of metaverse use cases: the evidence base that directs interoperability work across its member standards bodies.
See the working groupSpecial contributor, Financial Stability Project Team
Credited on “Fragile Global Liquidity: Sources and Policy Implications” (August 2024), from the project team co-led by William C. Dudley and Carolyn Wilkins.
Read the briefSteering committee member
Helps steer the foundation that defines governance and technical architecture for digital-trust ecosystems, and co-chairs its Ecosystem and Governance Working Group.
Visit Trust Over IPThree signature practices
Where we hold an edge few firms can match: we sit in the bodies that define digital trust, open 3D and the data beneath physical AI.
01
Digital Trust and Responsible AI
Make every claim verifiable: who made it, what it is, and where AI was involved.
- Content provenance and AI disclosure
- AI transparency and regulatory readiness
- Decentralized identity and verifiable credentials
- Software and supply chain trust
Standards and Ecosystem Strategy
Shape the standard instead of reacting to it.
- Standards positioning
- Ecosystem representation
- Specification development
- Governance frameworks and conformance
Physical AI and Spatial Computing
Put intelligence into physical operations, where it pays back.
- Physical AI strategy
- Robotics and automation architecture
- Digital twins
- Operating process and workforce
Advisory practices
The capital, growth, operating and people decisions that determine whether a strategy is executed.
- 04Strategy and Corporate FinanceCommit capital on evidence, not conviction.
- 05Business Building and GrowthBuild ventures that fund themselves, and revenue that repeats.
- 06Operations and TransformationRun the business on a system, not on heroics.
- 07People and Organizational PerformanceLeaders, policy and payroll equal to the strategy they must deliver.
- 08Risk, Resilience and SustainabilityUnderstand exposure, and prove alignment, before capital is committed.
Featured research
Our perspective on responsible investment, the industrial metaverse and the open standards beneath it.
Responsible Investment Practices, Part 1: The Speed–Governance Tension
Reimagining Responsible Investment GRC as a competitive capability, not a compliance cost.
Who's Who in the Metaverse: Nvidia, a Core Architect and Engine of the Industrial Metaverse
A profile of Nvidia’s role in the industrial metaverse: its platforms, the applications they enable, and use cases from digital twins to robotics simulation.
Universal Scene Description (USD): A Quick Guide to Core Concepts
What Universal Scene Description is, how its object model composes a scene from layers, and the features that let it scale across production pipelines.
One conversation is enough to frame the decision
Tell us the decision in front of you. We will reply with how we would approach it.
From the United States to leadership teams worldwide, virtually or on site.
- 1FrameAgree the decision to be made and the evidence it requires.
- 2BaselineEstablish where the organization stands today.
- 3CommitAgree the scope, the model and the price.