How do we separate scientific progress from hype to set realistic expectations for AGI’s trajectory?
How do we define the scope and boundaries of an intelligence that can generalize across domains?
What risks and dependencies emerge when AGI research is concentrated within a handful of companies with unprecedented compute power?
How do we govern systems capable of strategies, abstraction, and long-range planning?
What becomes of the way we operate when AI can perform cognitive tasks once limited to humans?
Artificial General Intelligence
A new class of intelligence.
A new era of governance.
As models grow more capable of reasoning, abstraction, and long-range planning, enterprises face new questions about scope, safety, and societal impact. AGI is moving from speculative fiction into boardroom discussions about compute concentration, governance gaps, and the challenge of aligning powerful systems with human goals.
How do we separate scientific progress from hype to set realistic expectations?
How can we prepare for an intelligence that can generalize across domains?
What risks and dependencies emerge when AGI research is concentrated within a handful of companies with unprecedented compute power?
How do we govern AGI capable of strategic, abstract, and long-range reasoning?
What becomes of us when AI can perform cognitive tasks once limited to humans?
Artificial General Intelligence
A new class of intelligence.
A new era of governance.
As models grow more capable of reasoning, abstraction, and long-range planning, enterprises face new questions about scope, safety, and societal impact. AGI is moving from speculative fiction into boardroom discussions about compute concentration, governance gaps, and the challenge of aligning powerful systems with human goals.
How do we separate scientific progress from hype to set realistic expectations?
How can we prepare for an intelligence that can generalize across domains?
What risks and dependencies emerge when AGI research is concentrated within a handful of companies with unprecedented compute power?
How do we govern AGI capable of strategic, abstract, and long-range reasoning?
What becomes of us when AI can perform cognitive tasks once limited to humans?
Artificial General Intelligence
A new class of intelligence.
A new era of governance.
As models grow more capable of reasoning, abstraction, and long-range planning, enterprises face new questions about scope, safety, and societal impact. AGI is moving from speculative fiction into boardroom discussions about compute concentration, governance gaps, and the challenge of aligning powerful systems with human goals.
How do we separate scientific progress from hype to set realistic expectations?
How can we prepare for an intelligence that can generalize across domains?
What risks and dependencies emerge when AGI research is concentrated within a handful of companies with unprecedented compute power?
How do we govern AGI capable of strategic, abstract, and long-range reasoning?
What becomes of us when AI can perform cognitive tasks once limited to humans?
Artificial General Intelligence
A new class of intelligence.
A new era of governance.
As models grow more capable of reasoning, abstraction, and long-range planning, enterprises face new questions about scope, safety, and societal impact. AGI is moving from speculative fiction into boardroom discussions about compute concentration, governance gaps, and the challenge of aligning powerful systems with human goals.
“90 % of enterprises say they are actively adopting agentic/AGI-capable systems, with 79 % expecting full-scale adoption within three years.”
(Source: Kong, Inc: Agentic AI in the Enterprise: Paving the Path to Production, Sept 2025)
Despite industry claims, no enterprise today is scaling AGI. Most “AGI-capable” systems are advanced agentic, multimodal, or high-reasoning models—powerful, but far from generalized intelligence. Enterprises are accelerating into higher autonomy, but terminology is drifting ahead of reality.
“23% of organizations report they are scaling an AGI-level or agentic system in at least one business function; another 39 % say they are experimenting with agents.”
- (Source: McKinsey & Company - The State of AI: GLobal Survey 2025)
These signals do not reflect AGI; they reflect the rapid rise of agentic workflows, tool-using models, and multi-step reasoning systems that feel qualitatively different from traditional software. The challenge is to separate genuine breakthroughs from marketing inflation, and plan governance accordingly.
“90 % of enterprises say they are actively adopting agentic/AGI-capable systems, with 79 % expecting full-scale adoption within three years.”
(Source: Kong, Inc: Agentic AI in the Enterprise: Paving the Path to Production, Sept 2025)
Despite industry claims, no enterprise today is scaling AGI. Most “AGI-capable” systems are advanced agentic, multimodal, or high-reasoning models—powerful, but far from generalized intelligence. Enterprises are accelerating into higher autonomy, but terminology is drifting ahead of reality.
“23% of organizations report they are scaling an AGI-level or agentic system in at least one business function; another 39 % say they are experimenting with agents.”
- (Source: McKinsey & Company - The State of AI: GLobal Survey 2025)
These signals do not reflect AGI; they reflect the rapid rise of agentic workflows, tool-using models, and multi-step reasoning systems that feel qualitatively different from traditional software. The challenge is to separate genuine breakthroughs from marketing inflation, and plan governance accordingly.
OUR APPROACH
At Modern Enterprise, we help leaders navigate AGI with clarity, discipline, and grounded decision-making. We separate scientific progress from hype, define boundaries and responsibilities, and build governance frameworks that keep powerful systems aligned with mission and values. Our focus is not on predicting AGI timelines, but on preparing organizations to operate responsibly as capabilities evolve, with transparency, safeguards, and accountable design at the core.
IN PRACTICE
Scenario Planning for AGI-Adjacent Capabilities
We guide leaders through structured scenarios that map how reasoning, planning, and generalization capabilities could reshape operations, risk, and competitive advantage. These exercises reveal where your organization is exposed and where you’re uniquely positioned to lead.
Governance Frameworks for Advanced Intelligence
We design decision rights, escalation paths, and oversight structures for systems capable of abstraction and long-range planning. This includes guardrails for model behavior, safe deployment policies, and clarity around when and how humans must intervene.
Risk and Dependency Assessments
We evaluate organizational exposure created by concentrated compute, proprietary model ecosystems, and vendor-defined definitions of “AGI-capable.” This helps enterprises understand dependencies, negotiate from a position of strength, and build a more resilient roadmap.
Evaluation and Audit of Advanced Reasoning Systems
We create methods for testing, validating, and auditing systems that demonstrate multi-step reasoning or agentic behavior. This goes beyond accuracy by focusing on traceability, strategy formation, abstraction, and alignment with mission outcomes.
Workforce and Operating Model Readiness
We help leaders prepare teams for a world where cognitive tasks shift from human-exclusive to human-plus-machine. This includes new skill architectures, executive narratives, and organizational design that preserves trust and clarity as capabilities evolve.
OUR APPROACH
At Modern Enterprise, we help leaders navigate AGI with clarity, discipline, and grounded decision-making. We separate scientific progress from hype, define boundaries and responsibilities, and build governance frameworks that keep powerful systems aligned with mission and values. Our focus is not on predicting AGI timelines, but on preparing organizations to operate responsibly as capabilities evolve, with transparency, safeguards, and accountable design at the core.
IN PRACTICE
Scenario Planning for AGI-Adjacent Capabilities
We guide leaders through structured scenarios that map how reasoning, planning, and generalization capabilities could reshape operations, risk, and competitive advantage. These exercises reveal where your organization is exposed and where you’re uniquely positioned to lead.
Governance Frameworks for Advanced Intelligence
We design decision rights, escalation paths, and oversight structures for systems capable of abstraction and long-range planning. This includes guardrails for model behavior, safe deployment policies, and clarity around when and how humans must intervene.
Risk and Dependency Assessments
We evaluate organizational exposure created by concentrated compute, proprietary model ecosystems, and vendor-defined definitions of “AGI-capable.” This helps enterprises understand dependencies, negotiate from a position of strength, and build a more resilient roadmap.
Evaluation and Audit of Advanced Reasoning Systems
We create methods for testing, validating, and auditing systems that demonstrate multi-step reasoning or agentic behavior. This goes beyond accuracy by focusing on traceability, strategy formation, abstraction, and alignment with mission outcomes.
Workforce and Operating Model Readiness
We help leaders prepare teams for a world where cognitive tasks shift from human-exclusive to human-plus-machine. This includes new skill architectures, executive narratives, and organizational design that preserves trust and clarity as capabilities evolve.
OUR APPROACH
At Modern Enterprise, we help leaders navigate AGI with clarity, discipline, and grounded decision-making. We separate scientific progress from hype, define boundaries and responsibilities, and build governance frameworks that keep powerful systems aligned with mission and values. Our focus is not on predicting AGI timelines, but on preparing organizations to operate responsibly as capabilities evolve, with transparency, safeguards, and accountable design at the core.
IN PRACTICE
Scenario Planning for AGI-Adjacent Capabilities
We guide leaders through structured scenarios that map how reasoning, planning, and generalization capabilities could reshape operations, risk, and competitive advantage. These exercises reveal where your organization is exposed and where you’re uniquely positioned to lead.
Governance Frameworks for Advanced Intelligence
We design decision rights, escalation paths, and oversight structures for systems capable of abstraction and long-range planning. This includes guardrails for model behavior, safe deployment policies, and clarity around when and how humans must intervene.
Risk and Dependency Assessments
We evaluate organizational exposure created by concentrated compute, proprietary model ecosystems, and vendor-defined definitions of “AGI-capable.” This helps enterprises understand dependencies, negotiate from a position of strength, and build a more resilient roadmap.
Evaluation and Audit of Advanced Reasoning Systems
We create methods for testing, validating, and auditing systems that demonstrate multi-step reasoning or agentic behavior. This goes beyond accuracy by focusing on traceability, strategy formation, abstraction, and alignment with mission outcomes.
Workforce and Operating Model Readiness
We help leaders prepare teams for a world where cognitive tasks shift from human-exclusive to human-plus-machine. This includes new skill architectures, executive narratives, and organizational design that preserves trust and clarity as capabilities evolve.
Readiness Checklist
