23 years in B2B SaaS Go-To-Market at Salesforce, Eloqua, HubSpot, Marketo. Customer Obsessed. Partner Obsessed. Living-In-Market. LinkedIn Member #320,966

Majored in Customer. Minored in Go-To-Market. Live in-Market. 

24 years in B2B SaaS. Early employee at Salesforce (first 100), Eloqua (#13), HubSpot Advisor (2014-2016), Marketo (2018).

Love startups, especially category creators.

Born Sales. Bred Marketing. Building Partnerships. 

I spent six years in management consulting, 52 quarters in software sales at Salesforce and Eloqua, six years doing professional speaking, 2018 reporting to the CEO of Marketo (acquired by Adobe for $4.75B), Limited Partner "LP" and GTM Advisor at Stage 2 Capital and GTM Fund. 

I started investing in 2012 and maintain my personal portfolio of investments in sales and marketing technology startups. I also started advising startups in 2012 and joined my first Board of Directors in 2016. Four of the companies I've advised have had successful exits -- HubSpot, Accompany, DataRPM, and PartnerHacker. 

My work keeps me focused on the changing B2B buying environment and what revenue teams need to do to evolve their culture, skills, processes, data, and technology. 

****If you want to connect with me on LinkedIn, don't send a generic invite.****

Jill Rowley

Kevin J. Neary

Founder & CEO at Orcawise 🚀 AI Advisor 🌍 Investor 🎤 The AI Roadmap Series

I work with regulated organisations under regulatory, workforce, and delivery pressure. My work focuses on operationalising the EU AI Act, ISO/IEC 42001, and the NIST AI RMF with RAIMS™ 

Founder and CEO, Orcawise | Creator of RAIMS™ Responsible AI Management System - AI Governance, Certification & Workforce Enablement | Board Advisor on RAIMS implementation

Author of the RAIMS Report (30k+ readers), a weekly analysis of how organizations implement Responsible AI in practice, and host of the RAIMS Podcast - focused on governance, agentic systems, workforce readiness.

● RAIMS™ (Responsible AI Management System) is my core work. It is used by organizations to support board-level oversight, executive decision-making, and audit-ready AI operations through standards-aligned governance and a four role-based certification system.

RAIMS Certified™ courses include: 

• AI Foundations Associate
• AI Governance Practitioner
• AI Enablement Leader
• AI Systems Architect

These certifications help organizations demonstrate AI literacy, accountability, and control across teams operating in regulated or high-risk AI contexts.

● OIP PROGRAM, since 2016, I also lead the OIP, a structured, work-based model that enables organisations to build internal AI capability while applying RAIMS governance to live use cases.

OIP for Organisations:
• Apply Responsible AI governance in real operational settings
• Build workforce capability under regulatory constraints
• Access OIP professionals trained and certified through RAIMS
• Produce usable documentation, controls, and evidence.

OIP for Professionals:
• 100-day, hands-on experience with deployed AI systems
• Governance, risk, and implementation exposure
• RAIMS certification as part of the program
• 2,000+ alumni professionals have transitioned into consulting, industry, research, and tech

● ENGAGEMENT,  AI Keynote Speaker: keynotes, workshops, and mentoring to 100,000+ leaders across 13 countries, supporting organizations navigating AI adoption, regulation, and workforce change. Recent keynotes include: RAIMS is Your Competitive Edge - New York;  Culture Change & Communications - Ireland; How AI Will Change Your Job - London/Brussels & more.. As a mentor: The AI Roadmap Series across the United States; NovaUCD/CeADAR AI Accelerator - Dublin; MassChallenge - Switzerland & Take-Off Istanbul to mention a few.

My work focuses on turning policy and standards into operational reality - building trust, accountability and workforce capability at scale.

DM me to discuss RAIMS Certification or to start an In-house OIP Program.

Chief Executive leading AI Transformations with Advisory & Services for Entrepreneurs and  Marketers

This week’s RAIMS Report looks at what is changing at the Responsible AI Frontier, and how organisations maintain control as those changes play out in practice.

Kevin Neary

Many organisations working with advanced AI systems have been adjusting to a steady increase in uncertainty. Capability development is harder to forec

Open article: The RAIMS Report - Responsible AI at the Frontier: When Uncertainty Becomes the Operating Condition by Kevin Neary • 3 min read

The RAIMS Report - Responsible AI at the Frontier: When Uncertainty Becomes the Operating Condition

Two developments this month - the WEF workforce blueprint and the EU activation of General-Purpose AI obligations - signal that workforce capability now operates inside the AI governance control environment.

Subscribe to the The RAIMS Report newsletter and receive it directly in your inbox weekly. Ireland’s General Scheme for its AI Bill establishes a nati

Open article: Why Workforce Capability Is Now a Governance Control by Kevin Neary • 2 min read

Why Workforce Capability Is Now a Governance Control

AI is automating tasks. Your workforce is being reshaped. New research from Anthropic, The Conference Board, and Goldman Sachs shows how exposed knowledge work is to large language models — programmers alone show 75%+ task exposure in some analyses.

What is your organization’s AI workforce exposure score?

#ResponsibleAI #AIJobs #AIGovernance #EUAIAct #RAIMS

CEO, Orcawise | Creator of RAIMS® | Responsible AI Governance & Enterprise AI Architecture | EU AI Act • ISO/IEC 42001 • NIST AI RMF

Kevin Neary Orcawise #RAIMS Responsible AI Management System for Regulated Organizations

Across enterprise AI programmes, a quiet shift in autonomy is underway. Systems are beginning to act rather than simply respond. They invoke tools, re

Open article: Power Without Control: When AI Autonomy Expands Quietly by Kevin Neary • 2 min read

Power Without Control: When AI Autonomy Expands Quietly

Building an AI governance talent pipeline is now a board-level capability decision.

AI systems increasingly include tool use, orchestration layers, retrieval pipelines, and autonomous task execution. Research by Orcawise "Deploy-our-Experts" has learned how modern AI systems combine models, tools, and orchestration to achieve goals.

That architecture has workforce implications. If systems can plan, retrieve data, invoke tools, and act across workflows, organisations must define:

• Who designs the control layer
• Who validates tool use and data access
• Who monitors performance and drift
• Who approves autonomous actions
• Who maintains evidence for audit

Governance capability cannot sit in policy alone. It must exist in delivery teams.
A structured pipeline typically includes:

➡️ AI literacy across the workforce
➡️ Defined governance roles and accountability
➡️ Practical evaluation and risk-tier training
➡️ Evidence Pack discipline embedded in projects
➡️ Production-ready controls for tools, RAG, and agents
➡️ Continuous monitoring and improvement capability

This is workforce modernisation aligned to ISO/IEC 42001, the EU AI Act, and operational standards.

Governance has moved beyond documentation and is now responsibility capability in action.

#RAIMS #AIGovernance #AIWorkforce #ISO42001 #EUAIAct #ResponsibleAI

CEO Orcawise | RAIMS® Certified AI Governance Consultants for Regulated Companies (US, EU, Ireland) EU AI Act | ISO 42001 | NIST | KEYNOTE “Power Without Control is the Real Risk: Responsible AI is Your Competitive Edge”

Kevin Neary Orcawise RAIMS AI Governance Talent Pipeline

Sam Altman’s striking nuclear analogy at the India AI Impact Summit 2026 isn’t about AI being nuclear. But he frames it that nuclear governance teaches us for the superintelligence era.

The Core Insight:
Altman called it an “imperfect” comparison, but a powerful one: rival nations built the International Atomic Energy Agency (IAEA) to inspect, coordinate, and contain misuse of atomic tech - despite fierce competition. He’s pitching a similar global body for AI: not to halt progress, but to monitor frontier models, enforce narrow safety rules, and respond fast when risks spike (think pathogen design via open-source biomodels).

Why It Resonates Now:
We’re nearing his predicted “tipping point” (~2028), where data centers outstrip human intellect. National rules like EU AI Act are vital starts, but AI’s diffuse, borderless nature demands cross-border machinery like an IAEA, but AI-native.
​
Governance Parallel for Responsible AI Builders:
This maps directly to Responsible AI frameworks: compete on models and markets, but converge on systemic guardrails. Nuclear proved it’s possible - even adversaries can align when stakes are existential.

What’s your take? Viable blueprint or overreach? Let’s discuss in comments 👇 #AIGovernance #Superintelligence #EUAIAct #RAIMS

Spot-on insight. The WEF report suggests AI skills reach a beginner level in ~30 hours. That aligns closely with 𝗥𝗔𝗜𝗠𝗦 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱®  𝗔𝗜 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝗔𝘀𝘀𝗼𝗰𝗶𝗮𝘁𝗲 (24–30 hours including videos, labs, and exam).

For advanced capability, our 𝗔𝗜 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿 pathway requires ~100 hours (micro-courses plus proctored assessment).

That sits well below cybersecurity’s ~155-hour benchmark, while delivering audit-ready EU AI Act and ISO/IEC 42001 capability.

𝗥𝗔𝗜𝗠𝗦® 𝗨𝗽𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝗣𝗮𝘁𝗵

𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 (~𝟯𝟬 𝗵𝗼𝘂𝗿𝘀)

 • Foundations Associate → AI literacy badge

𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 (~𝟭𝟬𝟬 𝗵𝗼𝘂𝗿𝘀)

 • Practitioner + OIP live cases → governance certification

𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝗰𝗮𝗹𝗲

 • 2,000+ OIP alumni demonstrate teams can certify within 90–120 days

Practical edge

Unlike generic digital skills programs, RAIMS embeds governance from hour one.

Regulated teams build capability without a later compliance catch-up.

Employers are already demanding this capability.

Have you read the WEF report? What is your view on their “AI growth” framing versus regulatory reality?

#RAIMS #ResponsibleAI

It takes just 30 hours to reach beginner level in AI skills, research shows, while getting to advanced level requires 137 hours.
 
These figures are similar for other digital skills: design/UX requires just 32 hours to reach beginner level, while the most complex sector, cybersecurity, requires 155 hours of learning to reach advanced proficiency.
 
With digital #skills in ever greater demand among employers, it could be easier to start learning them than you might think.

For these insights and more, read the World Economic Forum report New Economy Skills: Building AI, Data and Digital Capabilities for Growth: https://lnkd.in/e93uewGD

Sam Altman’s striking nuclear analogy at the India AI Impact Summit 2026 isn’t about AI being nuclear. But he frames it that nuclear governance teaches us for the superintelligence era.

Altman called it an “imperfect” comparison, but a powerful one: rival nations built the International Atomic Energy Agency (IAEA) to inspect, coordinate, and contain misuse of atomic tech - despite fierce competition. He’s pitching a similar global body for AI: not to halt progress, but to monitor frontier models, enforce narrow safety rules, and respond fast when risks spike (think pathogen design via open-source biomodels).

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