
The OpenDI initiative fosters a vibrant ecosystem for decision intelligence (DI), supporting innovative research, a healthy vendor market, and better decisions worldwide. DI is a young discipline many see as the future integration of AI—a framework that starts with end user needs and fits data and technology within that context.
One of the biggest impediments to developing new disciplines like DI is fragmentation. The opposite—standardization—delivers substantial benefits including reduced costs, reduced risks, faster time-to-market for vendors, easier use of research resources, and simpler ways to create cross-organizational synergies. Ultimately, these factors lead to substantially greater value for people using decision intelligence technology.
Multiple entities building DI systems unaware of each other, using different approaches. This creates inefficiency, increased costs, and slower innovation across the industry.
Cross-industry standards that enable interoperability, reduce costs and risks, accelerate time-to-market, and create powerful cross-organizational synergies.
Chat rooms, email, and connected computers faced massive friction. Different systems couldn't communicate effectively.
Internet standards became widespread, enabling universal connectivity and communication.
The internet transformed society, making it easy to forget there was ever a time before standards existed.
Those who used early connected systems can recall the massive friction compared to today's seamless experience. Internet standards made a transformative difference, so profound that we now take universal connectivity for granted.
When good standards are built, technology markets explode.
Television broadcasting standards that enabled global compatibility and market growth across different regions and manufacturers.
Internet protocols that made the web explode, transforming communication and commerce worldwide through universal connectivity.
Broadband network standards that standardized cable modem technology, enabling widespread high-speed internet access.
Specifications defining how devices communicate with televisions, creating seamless entertainment experiences.
These open interoperability standards specify how technology from different entities communicates, creating explosive market growth and massive benefits for technology buyers.
Today's decision makers have access to powerful tools—AI, analytics, machine learning, optimization, behavioral science—yet organizations struggle to integrate them effectively.
Many times, these methods are applied one at a time, driven by what's fashionable rather than what connects to actual decisions and outcomes.
Decision Intelligence provides a decision-centered framework linking technology and data to actions and outcomes. By establishing shared standards, DI enables diverse methods and teams to work together around decisions—supporting planning, execution, and learning at scale.
This makes rigorous decision-making scalable, interoperable, and accessible beyond any single tool or technology wave.
Without a unifying framework, technologists and decision makers struggle to communicate.
Specify how technology from different entities communicates with each other. These are interface standards that define external communication protocols.
Make public the inside of technology boxes, revealing internal implementation details and source code.
As technologies mature, they follow a predictable pattern: a creative "breathe out" period of experimentation followed by a "breathe in" convergence phase where cross-industry standards emerge. This pattern has repeated throughout technology history.

"Let a thousand flowers bloom" - creative experimentation with multiple competing approaches
Industry consolidates around open standards that enable interoperability and explosive growth
For a standards project to succeed, we must start with a common language and shared understanding of system components. Just as the telephone network defined standard components—telephones, dialing mechanisms, signal transmission, central offices, and long-distance lines—we're doing the same for decision intelligence.
Identify the essential parts of a DI system that different entities can build and integrate.
Specify how different components interact and exchange information seamlessly.
Allow different organizations to specialize in building specific components while maintaining interoperability.
Create an ecosystem where vendors can innovate within their domains while contributing to the larger DI landscape.
The OpenDI standard defines how each layer of a decision intelligence system communicates with others through an Orchestration component. This architecture provides the foundation for interoperable DI systems that different vendors can build and integrate.
Multiple specialized layers work together, each handling specific aspects of decision intelligence processing and analysis.
Central coordination layer that manages communication between all system components, ensuring seamless integration.
Defined protocols specify exactly how each layer communicates, enabling vendors to build compatible components.
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