AI Reality
Current AI trends, adoption patterns, real-world challenges, and where corporate AI is genuinely heading.
ExploreThe Operating Layer for Corporate AI
AI that knows
your business
The future of AI is company-specific. We move your AI from a generic chatbot to a governed operating layer that understands your company's context, people, processes, and business objectives.
Operating Model
Company AI Layer
Company AI Layer
Objectives
Roles & Permissions
Processes
Context
Context
Answers
Business Information & Systems
Documents
Knowledge Base
Business Systems
Workflows
Users
People
Teams
Perspective
Most organizations have adopted AI.Few have built AI that understands how their business actually operates.
Company-specific AI understands:
Business Objectives
What the company is trying to achieve, and why.
Roles
Who does what, and how decisions move through the organization.
Permissions
What each person can see, change, and approve.
Processes
How work actually gets done across teams and systems.
The next stage of corporate AI depends on the right context.
The Iceberg
Most AI sees the tip of the iceberg
Businesses operate below the surface.
Founder
Why corporate AI needs company context
Generic AI can answer generic questions. The challenge is giving AI the context to understand the people, processes, governance, and business objectives behind those questions.
Per Solli is an entrepreneur and executive with decades of experience in enterprise planning solutions, advanced analytics, and Microsoft technologies.
He has worked with the data systems and infrastructure that large organizations rely on every day. CorpGenie applies that experience to AI, bringing the same discipline, governance, and business understanding to a new operating layer.
Per writes on corporate AI strategy, governance, and the company-specific systems that will define the next decade of business technology.
What we cover
Four areas that define corporate AI
Four perspectives on building company-specific AI.
Building Corporate AI
How organizations approach AI across departments, workflows, governance, and core business processes.
ExploreCorpGenie Framework
The Iceberg, Personality, and company-specific AI systems — practical concepts for corporate context.
ExploreAdoption & Results
Case studies, implementation guidance, whitepapers, and the direction of future product thinking.
ExploreFrom the Blog
Featured Insights
Frameworks, analysis, and perspectives on building AI that understands your enterprise.
Building Corporate AIHow to Access a Company's Hidden Knowledge With AI
Institutional knowledge loss costs U.S. companies an estimated $1.3 trillion a year. The solution is to reach knowledge where it already lives. Company-specific AI can do that without requiring perfect documentation first.
July 5, 2026 · 6 min
Building Corporate AIThe Hidden Knowledge Underneath Every Business
Most AI tools only reach the small part of a company that's written down. Gartner estimates 70-80% of corporate knowledge is tacit, living in people, systems, and history rather than documents. That institutional knowledge is your most valuable and most underused asset.
July 5, 2026 · 6 min
Adoption & ResultsHow Much? What Company-Specific AI Costs
Companies budget too much for the AI model and too little for what creates value. Here is how corporate AI budgets break down in 2026, and why the operating layer is the investment that compounds.
June 26, 2026 · 7 min