Dr. Manish Mehta

AI Enterprise Vision

Over 20 years experience guiding successful large-scale deployments of AI technologies including autonomous systems, robots, and virtual agents

Areas of expertise:

- Autonomous systems - Led technology strategy for commercial mower company
- Intelligent agents - Pioneered virtual agents transforming customer service at multinational
  corporations
- Robotics - Oversaw robot deployments in manufacturing facilities
- Voice assistants - Built AI-powered assistants for construction workers
- Healthcare robots - Advised Tech startup developing robotic companions to assist seniors with medication
- AI Strategy and Cultural transformation

I offer organizations:

- Identifying clear AI objectives aligned to business goals
- Assembling cross-functional teams combining AI, business, and domain expertise
- Guiding pragmatic AI implementations focused on improving efficiency, safety, and customer
   experience
- Advising on ethical, responsible AI adoption strategies
- Leveraging experience deploying AI solutions across industries from healthcare to manufacturing

Let's connect to make your organization's AI vision an operational reality!

Chief AI Strategist: Driving Pragmatic AI Implementations

Creator AI Studio

With over 20 years as an AI innovation pioneer, I create imaginative AI experiences by taking early stage technologies from concept to implementation.

My expertise includes:

a. Conversational AI - Created interactive museum exhibits and theme park characters
b. Robotics - Developed robotic assistants and experiences like Turtle Talk AI system
c. Intuitive Creation Tools - Enabled non-programmers to build AI behaviors through easy interfaces
d. Immersive Experience Design - Architected AI gaming blending conversation and immersion

I offer:

- Innovation Strategy: Guided projects from research to requirements to design like Pirates of the
  Caribbean ride reimagining
- Team Assembly: Brought together cross-functional talent to develop experiences like robot 
   companions for seniors
- User-Focused Development: Conducted ongoing testing and feedback with users during creation of 
   museum exhibits
- Entrepreneurial Leadership: Scaled innovations from prototype to full deployment such as the AI 
   gaming experience

My passion is pioneering experiences that fascinate and inspire audiences by leveraging AI and emerging tech.

If you seek a leader who thrives on the frontier turning early stage technologies into imaginative implementations, let's make the extraordinary happen together!

Chief AI Creator: Transforming Emerging Tech into Engaging AI Experiences

Stanley Black & Decker, Inc.

Employee Number 1 at the CTO office and Help Build the company’s first-ever CTO Office. Help Lead Innovation Ecosystem to $1.2B/yr revenue. 3 Years FastCo and AII “Most Innovative” Company

- Developing multi-year research, technology and commercialization strategies across emerging areas 
   like AI, IoT, Industry 4.0, robotics and autonomous systems.

- Building partnerships between business units (Security, Healthcare, Industrial, Consumer) and functions
   (Sales, Marketing, IT, R&D).

- Managing cross-functional teams of 50-150 people on strategic projects.

- Conducting M&A technical due diligence, competitive intelligence, quantitative and qualitative studies.

- Establishing an external ecosystem network with VC firms, startups, and commercial companies across 
  the Bay Area and beyond, leading to successful partnerships and investments with 15+ organizations
  including Plug n Play, Baidu Ventures, Sapphire Ventures, and more.
  
- Driving well-received technology strategy initiatives on AI, ML, IoT, and AI conversational tech for the
  CEO.

Technical Director of Innovation, Office of the CTO

AI+ Accelerator TechCode - US

AI+ accelerator at Techcode consists of startups that are focused on the application of artificial intelligence technologies: voice recognition, machine learning, natural language processing, computer vision and gesture control to all the different industry verticals, e.g. robotics, virtual reality/augmented reality, smart home, IoT, medical device and wearables.

Startup Mentor

Accenture Technology Labs

- Supported development of visionary "liquid workforce" transformation in 2012, enabling Accenture
   crowdsourcing initiative. Platform catalyzed 15K+ hours and mobilized 100K people.

- Liquid workforce became a smash hit theme of Accenture Vision 2016, igniting 14K+ social media 
   mentions, 230+ client downloads, 112M reach. Amplified by 638 influencers like IBM and futurist Gerd
   Leonhard.

- Led research, strategy, and UX design to build Accenture's crowdsourcing capability across business areas. 

- Defined go-to-market strategy. Reported progress to leadership.

- Led patented design of new crowdsourcing offering curating on-demand teams. Transformed CIO recruiting
   and teams.

- Guided pilots analyzing coordination challenges with internal and external crowd workers. Led prototype
  development.

- Advised crowdtesting vendor pilots (Applause, Passbrain). Guided analysis for product insights. Managed 
   tools for new crowdtesting capability. Led pilots at top clients.

- Shaped design and guided development of a platform to enrich unstructured data via paid/free crowd work  
   and automation. Led vendor pilots.

- Drove multiple patented ideas advancing intellectual property. Filed inventions.

- Forged partnerships with vendors, R&D, and academia.

- Spearheading innovation blitz for Industry X.0 across 5 labs, reimagining products with emerging tech like AI
  and robotics.

- Pioneering human-robot innovation teams to conceptualize, design, manufacture and service products. 

-  Created behavior design strategies to motivate user participation for Fortune 100 clients. Recognized by  
   client with top award.

The Human-Centered AI Innovator - Unlocking Human Needs through UX and AI

American Cancer Society

Providing advice, leadership and direction to American Cancer Society to further the Society’s progress by leveraging the skills and talents of volunteers to add value to and complete strategic initiatives and projects.  The role involves advising the society to increase its appeal and competitive advantage in the volunteer marketplace, save the Society time and money on project initiatives, and offer opportunities to further develop staff and volunteers.

The goal of the program is to redefine volunteer opportunities to include Skills-Based Volunteering (SBV) to increase the society's market relevance and competitive advantage. The SBV program supports both SBV and episodic volunteers and meets the outcomes of the Board accepted recommendation. The purpose of the Society’s Skills-Based Volunteer(SBV) Advisory Team is to provide advice, consultation, leadership and direction to the Society’s strategy on Skills-Based Volunteerism.  The team is charged with developing a long term, enterprise-wide rollout for Skills-Based Volunteers.

Strategic Advisor

Georgia Institute of Technology

- Pioneered trailblazing augmented reality app - deployed and delighted hundreds of diverse users including actors, virtual world members, and non-programmers.

- Architected award-winning UX design thrilling 150+ visitors with innovative augmented reality gaming experience at UCI Beall Center. Transported players into resolving virtual character conflicts.

- Spearheaded software architecture and pioneering Wizard UIs controlling one-of-a-kind experience. Conducted rigorous qualitative and quantitative evaluation.

- Pioneered first Web 2.0 app empowering non-programmers to create, modify and share game character AI behaviors. Developed advanced AI dynamically enhancing user-generated AI.

- Deployed live and piloted by hundreds of user groups: actors from School of Theatre at Illinois State University, non-programmers from virtual world Second Life and Non-Programmers.

- Led extensive user research and crafted detailed personas. Spearheaded iterative prototyping of breakthrough end-user authoring tool and AI approach.

- Rigorously and holistically evaluated pioneering experience through qualitative and quantitative UX research methods. Dove deep into extensive data gathering and analysis.

Next-Gen AI Experience Designer

Disney Research

Transforming Turtle Talk Character Experiences

- Pioneering innovative system enabling multiple operators to engage AI characters, slashing costs.
- Uncovering guest needs and motivations through insightful operator interviews and observations at Disney Land.
- Rigorously evaluating developed system through extensive usability studies with operators and guests.

Reimagining Pirates of the Caribbean Guest Experience

- Energizing Pirates experience through vigorous ideation and prototypes.
- Accelerating cutting-edge Pirates research, assembling university and industry teams.

Theme Park Experience Innovator - Infusing UX with AI

University of Southern Denmark

- Pioneered Museum Exhibit Advancing State-of-the-Art in Conversational AI - Enabled first-of-its-kind 
speech interaction between children and AI-controlled Hans Christian Andersen.

- Led insights-driven Wizard of Oz studies, observations, and interviews to deeply understand young participants. Crafted detailed user personas and storyboards bringing exhibit vision to life.

- Spearheaded iterative wireframing, mockups, and development of breathtaking final exhibit. Published top-tier peer-reviewed papers.

- Conducted rigorous qualitative and quantitative evaluation uncovering actionable insights to shape future roadmap. Translated findings into pioneering recommendations.

- Developed cutting-edge advances in speech recognition, NLU, dialog management, and gestural coordination—unlocking seamless speech-based interaction.

- Exhibit captivated audiences and received extensive press for pushing scientific and engineering boundaries. Addressed key challenges to inspire future innovation

Pioneer of First-of-its-Kind AI Experiences

Steria

Software programmar

Reimagined Disney Attractions with AI | Pioneered Conversational AI Museum Exhibits | Self-Driving Car Degree | Corporate AI & Robotics Deployment & Strategies | Speaking Human, AI & Business over two decades

I speak human, business & AI and build AI solutions that nail all 3; learned and practiced over 20 years at the school of hard-knocks pioneering first-of-its-kind AI experiences including:

- Next-gen AI powered system for Turtle Talk with Crush
- Reimagining Pirates of the Caribbean ride with AI based storytelling
- AI powered speaker for construction workers
- Cobots and mobile robots deployed at manufacturing plants
- Medication compliance robot companion at senior living facilities
- Conversational AI powered museum exhibit at Hans Christian Andersen Museum
- AI powered immersive conversation gaming experience at UCI Beall Center Musuem
- Self-driving car development at Udacity
- Autonomous mower technology strategy
- Conversational agents for customer service 
- AI strategy and cultural transformation at large multinationals
- AI powered technology enabling non-programmers to create, modify and share game character AI 
  behaviors


Industries Covered: Manufacturing, Security, Healthcare, Entertainment, Creator Economy

Technologies Covered: Self-Driving Cars, Robotics, Human-Centered AI, Conversational AI, Crowdsourcing, Industry4.0

Work presented at White House and featured in USA Today, MSNBC, Washington Post, Computer Technology, InformationWeek, Bloomberg, Venture Beat and Business Wire

Partnering with me, you gain:

•      A human-centered designer - translating user insights into exceptional experiences
•	A business strategist - providing diligence to steer initiatives, quantify ROI, and minimize risks
•	An AI/ML expert - architecting, deploying and optimizing systems from prototype to production
•	20+ years experience spearheading innovations from concept to commercialization
•	Investments analysis quantifying technical feasibility and commercial viability
•	A technology pioneer - adopting emerging capabilities like robotics and autonomy
•	Cross-functional leadership uniting diverse teams to deliver complex initiatives
•	Trend tracking identifying high-potential focus areas to capitalize on

I would enjoy grabbing a virtual coffee to explore how we can work together to bring AI innovations to life - the future is bright! Let's connect.

Enterprise AI Executive

Executive AI Enterprise serves as a trusted resource for thousands of senior decision-makers driving adoption and shaping the future of enterprise AI.

Drawing on extensive experience advising executives on AI strategy, transformation, and architecture, and analyzing hundreds of AI best practices, case studies, and innovations each week, we distill what actually drives value — and why it’s important for professional and enterprise success.

Subscribe here: https://enterpriseaiexecutive.ai/subscribe

Advisory is currently at capacity, but do reach out regarding future requirements.

Executive Director – AI Strategy, Transformation & Architecture

Stealth Startup

Founder

Deloitte

Advanced to lead various AI engagements and initiatives.

Serving as a trusted advisor to executives, shaping AI strategies, operating models, and roadmaps aligned with business objectives.

Leading enterprise AI transformations to deploy AI solutions at scale that drive efficiency and enhance customer experience. 

Overseeing end-to-end design, architecture, and delivery of AI, ensuring enterprise integration, quality, scalability, and security.

Hands-on experience architecting and developing AI solutions with technologies from OpenAI, Microsoft and Google. 

Driving business development by identifying opportunities, co-developing propositions with partners, and securing engagements.

Mentoring high-performing teams, promoting continuous learning, innovation, and technical excellence.

Artificial Intelligence Lead

Goldman Sachs

Summer Analyst

Helping you level up with Generative AI. Follow for daily insights. Deloitte AI, Goldman Sachs

Hi, Lewis here. How can I help?

Thousands of enterprise AI best practices, case studies, market dynamics, and innovation insights — spanning agentic AI, generative AI, and AI agents — have been assessed.

Here’s what’s driving value: enterpriseaiexecutive.ai

---

Over the past decade, I’ve partnered with dozens of executives to drive enterprise strategy, transformation, and architecture initiatives leveraging agentic AI, generative AI, AI agents, and other advanced technologies.

→ Serving as a trusted advisor to executives, shaping AI strategies, operating models, and roadmaps aligned with business objectives.
→ Leading enterprise AI transformations to deploy AI solutions at scale that drive efficiency and enhance customer experience.
→ Overseeing end-to-end design, architecture, and delivery, ensuring integration, quality, scalability, and security.
→ Hands-on experience architecting and developing AI solutions with technologies from OpenAI, Microsoft and Google. 
→ Driving business development by identifying opportunities, co-developing propositions with strategic partners, and securing new engagements.
→ Mentoring high-performing teams, fostering continuous learning, innovation, and technical excellence.

Since the rise of generative AI, agentic AI, and AI agents, the enterprise AI landscape has become increasingly crowded and complex.

As a result, many leaders, preoccupied with high-stakes strategic decisions, struggle to seize AI opportunities and manage emerging risks.

To address this, Executive AI Enterprise was created as a practical resource for executives and professionals at the forefront of AI.

Drawing on extensive experience advising executives on AI strategy, transformation, and architecture, and analyzing hundreds of AI best practices, case studies, and innovations each week, we distill what actually drives value — and why it’s important for professional and enterprise success.

The results have been exceptional.

Today, Executive AI Enterprise is a trusted resource for thousands of senior decision-makers driving adoption and shaping the future of enterprise AI.

Want to join them? 

Subscribe here: https://enterpriseaiexecutive.ai/subscribe

Lewis Walker ➲

What CEOs should do with agentic AI:
(according to BCG)

Now: Moves to act on today

1\ Redesign work with zero-based, outcome-driven, AI-first processes
2\ Build the business context fabric for AI agents to act with unique intelligence
3\ Assemble a shared AI platform to give P&L owners the "freedom within a frame"

Next: Disruptions to plan for

4\ Prepare for a radically altered future operating model
5\ Strategize your tech spending evolution and AI partnership ecosystem

Always: Enduring principles to follow

6\ Focus resources on a few big bets: 80% on reshaping end-to-end workflows and inventing new offers, 20% on deploying tools for everyone
7\ Combine multiple forms of AI for impact: predictive, generative, agentic
8\ Follow the 10/20/70 rule: 10% of efforts on algorithms, 20% on tech backbone, 70% on people and processes
9\ Ensure business functions, not IT, drive the transformation
10\ Invest in a robust data foundation built for agent usability

Full insights below, with more detail on each.

For more executive AI: https://lnkd.in/e4iRMQiY

Get the top 1% of agentic/gen AI (View my newsletter)

New BCG CEO Roadmap for Agentic AI

Want a practical path to scaling AI?
OpenAI just shared its approach:

The organizations that reach production consistently focus on four connected phases that form a repeatable system for scaling AI:

1\ Set the foundations (page 9)

Establish the structures that let experimentation scale safely and mature over time; executive alignment, governance, data access, and clear goals.

Enterprise examples: Figma, Chime


2\ Create AI fluency (page 12)

Develop the skills, confidence, and culture that make AI part of everyday work rather than a separate initiative.

Enterprise examples: BBVA, San Antonio Spurs, Wayfair


3\ Scope and prioritize (page 15)

Create a clear, repeatable system for capturing, evaluating, and prioritizing opportunities across the organization.

Enterprise example: Promega


4\ Build and scale products (page 19)

Develop a consistent, reliable method for turning new ideas and use cases into internal and external products.

Enterprise examples: Uber, Intercom, Lowes


Actions to get started in the playbook below. 

For more like this: https://lnkd.in/e5VBUzsB

New OpenAI Enterprise Scaling Playbook

I reviewed 457 AI agent case studies this year.
This one actually changed how work happens.

Traba built an AI interviewer, powered by ElevenLabs Agents, that runs 50,000+ interviews per month, evaluating warehouse/logistics talent at scale.

 → Multilingual voices
 → Multi-agent orchestration
 → Custom evaluation logic

But the most impressive part?

15% higher work completion rates for AI-qualified workers vs. human-qualified, among other results (see page 15)

P.S. ElevenLabs’ enterprise revenue grew 200%+ last year, approaching a 50/50 split between enterprise and self-serve.

Enterprises aren’t “experimenting” with conversational agents anymore.

They’re deploying them at scale.

We’ve seen exactly what separates agents that perform reliably from those that break under real customer conditions.

Get what actually works at scale: https://lnkd.in/esi3NuVz

Multi-Agent AI at Enterprise Scale

Integrating enterprise AI agents can be hard.
These 5 layers make it easier: 

1\ Smart business layer

Treat agents as a system actor, with clear roles, responsibilities & interaction boundaries like any other microservice

Meet users where they work by integrating the agent into existing enterprise surfaces (e.g. CRM, ERP, collaboration tools)

2\ Core transaction layer

Use MCP to connect agents through existing integration backbones (e.g. service meshes, API gateways) for “free” standard logging & security

3\ AI layer

Integrate agents via stable & well-defined MCP servers for APIs, events & service calls, with lifecycle management

Design for asynchrony & retries, using events/queues for hand-off & resumption and “once-only” semantics for retries

4\ Data layer

Ensure agents act on behalf of a user or service identity, using existing Identity & Access Management (IAM) to never bypass access controls

5\ Infrastructure & cloud layer

Let middleware abstract complexity, and only expose domain-level actions to agents, e.g. “submit expense report”


P.S. MCP is a key enabler easing agent integration. The graphic below covers:

→ Why AI models need MCP
→ What MCP does
→ How MCP works

Try MCP yourself in Replit:

→ Set up an MCP environment: https://lnkd.in/eqUgcZDq
→ Run a practical example (details below)
→ Customize for your needs

Google just shared 5 new AI agent guides.
250+ pages of practical guidance:

1\ Introduction to AI Agents (50 pages)

This covers the 5 levels of AI agents, from basic reasoning to self-evolving systems, plus security and architecture patterns that work at scale.
↳ https://lnkd.in/ebwVAKHq

2\ Agent Tools and Model Context Protocol (50 pages)

This breaks down tool design, the MCP, and the security risks hiding in plain sight, including MCP servers adding new tools without your approval. 
↳ https://lnkd.in/eepCvuNK

3\ Context Engineering and Memory (70 pages)

Agents with zero long-term memory treat every session like a first meeting. Learn to build memory systems that actively curate context.
↳ https://lnkd.in/eT4Tvxvm

4\ Agent Quality (50 pages)

Traditional QA fails for agents. This covers the four pillars of agent quality (effectiveness, efficiency, robustness, safety) and how to evaluate reasoning.
↳ https://lnkd.in/ec_ri234

5\ Prototype to Production (40 pages)

Learn evaluation gates, circuit breakers, and evolution loops that close the gap between demo and trusted production deployment.
↳ https://lnkd.in/eJg3CkF7

For 16 more top AI agent guides: https://lnkd.in/eEFSnMk2

P.S. Repost to your network with AI agents.

McKinsey just addressed limited AI P&L impact.
+ why the next three years should be different:

The 22-slide presentation covers:

1\ The potential to unlock trillions in value (p.2)
2\ Not all sectors are impacted equally (p.3)
3\ Gen AI/agentic enterprise impact examples (p.4-9)
4\ AI outperforms humans on key tests (p.10)
5\ Gen AI is everywhere except the P&L (p.11)
6\ Limited P&L impact stems from seven factors (p.12)
7\ Why the next three years should differ (p.13)
8\ AI agents: More integration & automation (p.14)
9\ Estimated automation potential of AI agents (p.15)
10\ Agentic AI tackling complex workflows (p.16)
11\ Impact with more holistic agents (p.17)
12\ From "interns" to experienced peers (p.18)
13\ Challenges scaling agentic AI (p.19)
14\ “Rewiring” organizations to scale AI (p.20)
15\ Risk should not be under-estimated (p.21)

Full insights below. 

Source: https://lnkd.in/eA3_QKKK

For more: https://lnkd.in/eBBHY3H7

P.S. Repost this to help your network with AI.

New McKinsey AI Agents POV

How are enterprises deploying AI agents in prod?
Anthropic just surveyed 500 tech leaders:

The survey draws on 500+ US technical leaders to understand how enterprises use AI agents today and where they see opportunity in 2026.

1\ How firms are deploying AI agents today (p.7)
2\ Expanding use cases and measuring ROI (p.12)
3\ Driving AI agent adoption in 2026 (p.18)
4\ Enterprise AI agent production case studies (p.23)

Full insights below and here: https://lnkd.in/eeQAJkWp

For more: https://lnkd.in/eBBHY3H7

New: 2026 State of AI Agents

If you're a board member, read this:


The Australian Institute of Company Directors just published a 28-page report on AI use in the boardroom.

It breaks down 11 ways boards can use AI before, during and after meetings (p.4)

Before board meeting

1\ AI to improve quality of papers and reports
2\ AI to aggregate board committee reporting insights
3\ AI to surface historical board insights
4\ AI personas to support board meeting preparation

In the boardroom

5\ AI transcription, recording and minutes
6\ AI board advisors and observers
7\ Real-time AI intelligence and data analysis

After board meeting

8\ AI-supported performance evaluations for directors and boards
9\ AI personas as thought partners
10\ AI as a live participant in board strategy days or simulations
11\ Agentic AI to manage board administration

The report also addresses: 

→ Impacts on director, chair and company secretary roles (p.16) 
→ Collective decisions, frank discussion and relationships (p.19) 
→ What boards should consider before using AI (p.21)

Full insights below and linked in comments.

For more on AI in the boardroom: https://lnkd.in/eBBHY3H7

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The Battle

Dr. Manish Mehta

Lewis Walker ➲

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The Battle

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Lewis Walker ➲

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Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Lewis Walker ➲'s LinkedIn Performance

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