AI-Native Products and Services
Turn Strategy Into
Working Capability
R2 helps executives move high-consequence AI, cyber, product, and transformation priorities from decision to deployment. We combine senior advisory, architecture, product engineering, and forward-deployed execution to build the systems and operating models the strategy requires.
For Leaders Facing a Priority That Must Move Into Operation
An AI pilot must become a secure production capability.
A new product, practice, or operating capability must be defined and built.
A cyber or technology modernization effort needs architecture and execution leadership.
A board or executive team must make a consequential AI, cyber, investment, or operating-model decision.
Where to Start
Four ways to begin.
AI-Native Strategy-to-Product Sprint
Best for: A strategic priority needs to become an executable product, workflow, system, or capability.
Explore a Strategy-to-Product SprintAgentic AI Governance Assessment
Best for: An organization is moving agents or autonomous workflows toward production and needs clear authority, control, accountability, and escalation.
Assess Agent GovernanceForward-Deployed Engineering Engagement
Best for: A client needs senior embedded capability to build within the operating environment.
Discuss an Embedded BuildExecutive AI and Cyber Operating Model Briefing
Best for: A board or executive team needs to decide how AI changes talent, governance, investment, risk, and operating structure.
Schedule an Executive BriefingWhat R2 Does
Three coequal capability pillars.
Capability 01
Executive and Strategic Advisory
- Trigger
- A leadership gap, a consequential decision, or a transaction needs senior judgment now.
- Typical Result
- A decision, mandate, or operating model the organization can act on.
Start here: Executive AI and Cyber Operating Model Briefing
Explore Executive and Strategic Advisory →Capability 02
Artificial Intelligence and Agentic Systems
- Trigger
- An AI pilot is stalled, or agents need to act with real authority before they scale.
- Typical Result
- A production-ready AI or agentic capability the organization can operate and govern.
Start here: AI-Native Strategy-to-Product Sprint
Explore Artificial Intelligence and Agentic Systems →Capability 03
Cybersecurity and Trusted Technology
- Trigger
- A cyber modernization effort has stalled, or AI is expanding the attack surface faster than controls can keep up.
- Typical Result
- A cyber operating model and architecture the business and mission can rely on.
Start here: Agentic AI Governance Assessment
Explore Cybersecurity and Trusted Technology →How R2 Delivers
From decision to deployed capability.
Frame the priority
Clarify the decision, outcome, and what is at stake.
Define the strategy and architecture
Set direction and design the target architecture.
Engineer the capability
Build the product, workflow, or agent capability.
Deploy with operators
Put the capability into the hands of the people who will run it.
Measure and improve
Instrument the result and extend what works.
Leadership Proven at Scale
Judgment tested under real operating stakes.
Honeywell
- Grew the global OT cybersecurity business from approximately $150M to more than $300M
- Led approximately 600 professionals across eight countries
- Integrated a $100M acquisition
Demonstrates: Ability to connect cybersecurity, product strategy, M&A, global operations, and profitable growth.
Raytheon
- Led a federal cyber mission platform valued at approximately $1.2B to $1.4B
- Led approximately 570 professionals
- Increased delivery velocity by 49% year over year
Demonstrates: Ability to lead high-consequence federal technology programs while improving delivery, economics, and mission performance.
MedStar Health
- Built an enterprise digital capability from an 11-person team
- Developed an approximately $300M digital business unit
- Expanded reach to approximately 3.5M annual users
Demonstrates: Ability to convert digital transformation into measurable growth, adoption, and operating value.
Deloitte / Federal Mission Architecture
- Supported more than $2B in pursuits
- Contributed to approximately $700M in awards
- Included DNI Fusion and NCTC Railhead
Demonstrates: Ability to translate architecture and emerging technology into differentiated solutions that win and execute at scale.
These outcomes reflect team and organizational results achieved under Michael Ruiz’s leadership, not the work of one individual acting alone. Some pursuits were awarded; others were not, and that distinction is noted on the relevant capability pages.
R2 Labs
Advisory informed by what we build.
R2 Labs
Applied research and engineering: standards, reference architectures, and product foundations for AI-native work.
Explore R2 Labs →Agent Delegation Contract
An open specification defining what an AI agent is authorized to decide, do, access, delegate, escalate, and prove.
View the ADC specification →iDragonFly
An emerging operating environment for governed expert work: coordinating people, agents, models, and organizational memory.
Explore iDragonFly →Featured Thinking
The thesis behind the work.
michaeleruiz.com
The AI-Native Enterprise
A fourteen-part series on trusted human-machine coordination at scale: the thesis R2 puts into practice.
R2 Advisory
AI-Native Consulting
What changes when consulting moves from advice to engineered, deployed capability.
R2 Labs
Agent Delegation Contract
The open specification for defining what an AI agent is authorized to decide, do, and delegate.
Get Started
Turn the Next Decision Into Operating Capability
Whether the priority is AI, cybersecurity, transformation, or product development, R2 helps move it from decision to deployed execution.
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