Operate
Build strong human operations first.
- Clear responsibilities
- Strong leadership
- Reliable workflows
- Consistent execution
A new era of business communication
Your business has a new audience.
Artificial intelligence.
For decades, businesses learned how to communicate:
- B2BBusiness to Business
- B2CBusiness to Consumer
- B2AIBusiness to Artificial Intelligence
Business-to-AI (B2AI) Communication is the discipline of organizing and communicating business knowledge so AI systems can accurately understand, retrieve, verify and use it. It is the third form of business communication, after business-to-business and business-to-consumer.
Why B2AI exists
AI is changing the relationship between businesses and information.
Searching
Comparing
Summarizing
Retrieving
Recommending
Answering
Training
Analyzing
Communicating
Supporting decisions
And eventually acting
Businesses are no longer communicating only with people. They are communicating with machines that need to understand what the business knows, does, represents, and can be trusted to provide.
This changes business communication.
What is B2AI?
B2AI, Business-to-Artificial Intelligence, is the discipline of organizing and communicating business knowledge so artificial-intelligence systems can accurately understand, retrieve, verify, and use it.
- Business knowledge
- Expertise
- Services
- Processes
- Policies
- Proof
- Authority
- Brand meaning
- Training
- Workflows
- Institutional knowledge
- Decision logic
B2AI is not simply about creating content for AI. It is about making the organization itself more understandable to intelligent systems.
Two directions. One discipline.
Outside the business, External AI
AI systems increasingly help people
- discover businesses
- compare services
- research experts
- evaluate options
- answer questions
- make decisions
Businesses need to become understandable and trustworthy to external AI systems.
Inside the business, Internal AI
Organizations are introducing AI into
- operations
- customer support
- training
- knowledge retrieval
- analysis
- workflows
- decision support
- automation
Those systems need reliable organizational knowledge.
B2AI treats both as one problem
A business should not tell one story to people, another to external AI and another to its internal agents. It needs one coherent knowledge architecture.
The B2AI principles
The principles are applied together, not in sequence. Most organizations begin with Organize, because the others depend on it.
Organize
Organize what the organization knows.
- Knowledge
- Processes
- Proof
- Expertise
- Policies
- Training
The output of Organize is the organization's knowledge base.
Structure
Turn scattered information into structured knowledge AI systems can understand.
- Meaning
- Relationships
- Context
- Authority
- Sources
Communicate
Prepare information for both human and machine comprehension.
- Humans need clarity
- AI needs clarity too
Verify
AI systems need evidence.
- Proof
- Authority
- Consistency
- Corroboration
Orchestrate
People, processes, knowledge and AI operate as one system, with humans responsible for judgment and accountability.
- Humans
- Knowledge
- AI
The B2AI principles in brief
- 01
Businesses have entered a new era of communication.
- 02
AI is becoming an audience, intermediary, assistant, agent, and decision participant.
- 03
Business knowledge must become organized.
- 04
Artificial intelligence should strengthen human performance, not replace organizational discipline.
- 05
AI systems should be able to identify authoritative business information.
- 06
Humans should remain responsible for judgment, ethics, purpose, and accountability.
- 07
Businesses should understand how their knowledge is being represented by AI.
- 08
AI readiness starts before automation.
- 09
The future of business is not humans versus AI. It is humans and AI operating from shared knowledge.
The questions B2AI asks
Does AI understand your business?
01
Can an AI system accurately explain what your organization does?
02
Can it distinguish your expertise from your competitors?
03
Can it identify authoritative information about you?
04
Can it verify your claims?
05
Can your employees' AI tools retrieve accurate company knowledge?
06
Can your AI agents distinguish current information from outdated information?
07
Do your humans and AI systems work from the same source of truth?
08
Does your organization understand what AI understands about it?
B2AI is bigger than marketing.
Knowledge
What does the organization know?
Operations
How does the organization function?
Communication
How is knowledge expressed?
B2AI
Authority
How are claims verified?
Technology
How do AI systems access knowledge?
People
Where does human judgment remain essential?
The B2AI Knowledge Center
A think tank, not a blog.
B2AI Fundamentals
- What Is B2AI?
- Why B2AI Matters
- B2B vs. B2C vs. B2AI
- The B2AI Glossary
AI + Business Knowledge
- Business Knowledge Architecture
- Machine Understanding
- Structured Knowledge
- AI-Ready Organizations
AI Visibility
- How AI Finds Businesses
- How AI Evaluates Authority
- AI Recommendations
- Machine Trust
Human + AI Operations
- Human Performance Before Automation
- AI Agent Readiness
- Human Oversight
Research
- B2AI Research
- Industry Studies
- AI Agent Trends
- Business Readiness Research
The B2AI glossary
- B2AI
- Business-to-Artificial Intelligence.
- AI-Ready Organization
- An organization whose people, processes, information, governance, and knowledge are sufficiently structured to support effective AI use.
- Machine Comprehension
- The ability of an AI system to correctly interpret organizational information and relationships.
- Business Knowledge Architecture
- The structured organization of institutional knowledge for human and AI use.
- AI Visibility
- The degree to which AI systems can discover, understand, verify, and appropriately represent an organization.
- AI Orchestration
- The coordination of humans, AI systems, agents, knowledge, and workflows.
- Knowledge base (B2AI)
- The structured, verified body of what an organization knows, its rules, procedures, pricing, exceptions and language, maintained as one source that both people and AI systems use. In B2AI, the knowledge base is the foundation on which internal agents operate and from which external AI systems learn about the business.
B2AI readiness: ten dimensions
A diagnostic derived from the principles. Used to assess whether an organization's people, operations and knowledge are prepared for AI.
01
Human readiness
02
Operational readiness
03
Knowledge readiness
04
AI visibility
05
Authority
06
Semantic clarity
07
Governance
08
Agent readiness
09
AI communication
10
Orchestration readiness
Who contributes to B2AI
B2AI is not defined by one company. The discipline is developed by researchers, operators, technologists and educators working in organizations that use AI.
- Researchers
- Operators
- Business leaders
- Technologists
- AI developers
- Communicators
- Educators
- Policy experts
- Organizations implementing AI in the real world
Origin + leadership
Dr. Kathryn Alderman, EMBA
B2AI Communication Expert | Knowledge Engineer. Originator of the B2AI discipline.
Dr. Kathryn Alderman's work focuses on the changing relationship between businesses, humans, organizational knowledge, and artificial intelligence. After more than two decades operating and building businesses, her work in artificial intelligence led her to a central question:
What happens when businesses must communicate not only with people, but with AI?
That question became the foundation of her work in Business-to-Artificial Intelligence. Her work defines B2AI as a communication discipline: knowledge first, then the agents and visibility that run on it.
drkathrynalderman.comAbout Dr. Kathryn AldermanBusiness is changing.
Communication is changing.
AI is becoming part of both.
Business → Artificial Intelligence