Microland Limited

Responsible for driving the company's growth and service delivery in the region. This includes developing and implementing strategies to increase market share, enhance customer relationships, and ensure service delivery. 

Have a deep understanding of the EMEA market and a proven track record of success in leading and growing teams. Skilled in building and maintaining strong relationships with key stakeholders, including customers, partners, and employees.

Have delivered ~40% growth in the first two years of this role. Developed and implemented effective strategies, established strong partnerships, and multiple go-to-market initiatives across Energy & Utilities, Manufacturing, Business Services and Local Government.

SVP and Head of EMEA

Responsible for driving the company's marketing strategy and overseeing all marketing initiatives. This includes developing and implementing plans to increase brand awareness, lead generation, and customer engagement. Plan and execute integrated marketing campaigns across a variety of channels, including events, social media, email, and content marketing.

Work closely with cross-functional teams to align marketing efforts with the overall business goals and objectives. 

Skilled at leveraging data and insights to inform marketing decisions.

Chief Marketing Officer (Interim)

Helping IT service providers to scale fast and accelerate growth.

Senior Vice President -  Global Technology Alliances

Responsible for the company's business in the ANZ/ASEAN region. I'm also responsible for the global solutioning and bid management for Microland.

Part of Microland since 2003 and have played many critical leadership roles in the US, UK, Australia and India. I have extensive experience in leading strategic, operational and functional pursuits in the IT outsourcing space with a keen eye for digital technologies and their application in support services. I have led many global deals for Microland and acquired customers that are strategic/top 10 accounts today.

Senior Vice President & Geo Head - ANZ

I was responsible for setting up the company locally and building the business from the ground up. This included developing and implementing strategies to establish a strong presence in the market, establish key partnerships, and drive revenue growth.

Vice President and Country Head (ANZ)

Was responsible for leading the company's information technology strategy and overseeing all IT initiatives. This included developing and implementing plans to improve system infrastructure, data management, and cybersecurity.

I worked very closely with the executive team to define and execute the company's IT vision, and I was instrumental in delivering innovative and cost-effective solutions, including two large transformation programs that supported the organisation's growth.

Chief Information Officer

Responsible for developing end to end solutions and bid responses for all prospects and customers of Microland globally across verticals. This includes presales support, collateral creation, solution design and bid management. Also responsible for commercial modeling and overall business realization.

Vice President - Solutions & Bid Management

AVP - Solutions & Services

Associate Vice President & Head -  Application Management Services

AGM & Practice Head - Infrastructure Application Services

Associate General Manager – Technology

Consultant/ Sr. Consultant / Group Consultant

Microland

Specialist

Entrepreneur

Founder

EMEA Business Head | Intrapreneur |Technology Solutions | Revenue Growth | Ex-CIO | Ex-CMO | Generative AI Enthusiast - Follow me for GPT Enterprise Use Cases

I am an accomplished business leader and intrapreneur with over 20 years of experience in the IT industry. I currently lead the EMEA business at Microland Limited, a global digital transformation company that provides innovative solutions to customers across various sectors. I am responsible for driving the company's growth and service delivery in the region, developing and implementing strategies to increase market share, enhance customer relationships, and ensure service excellence.

I have a deep understanding of the EMEA market and a proven track record of success in leading and growing teams. I have delivered ~40% growth in the first two years of this role, established strong partnerships, and launched multiple go-to-market initiatives across Energy & Utilities, Manufacturing, Business Services, and Local Government. 

I have also served as an interim CMO and a CIO at Microland Limited, gaining valuable insights into the marketing and technology functions. I have an MBA from Alliance Manchester Business School and a PowerMBA certification, which have enriched my knowledge and skills in business administration and management. I am also an advocate and enthusiast of Generative AI, a transformative technology that has immense potential for innovation and value creation.

Karthikeyan Krishnan ⏩

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

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 ➲

Want to transform your processes with AI?
Here's an example from BCG:

Financial crime remains one of the most resource-intensive areas for banks, despite years of investment in KYC, screening, and transaction monitoring.

BCG analysis shows financial crime operations can reach 5% of bank costs, with nearly half of client refreshes still done manually at leading institutions.

Among financial crime, KYC (onboarding and ongoing due diligence) stands out as both the most resource-intensive and ripest for transformation.

The graphic below outlines BCG’s KYC target-state vision where AI orchestrates onboarding, validation, risk rating, and monitoring.

Full insights: https://lnkd.in/eJxWg9yZ  

2195 more AI use cases: https://lnkd.in/ebbYBnfq

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

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

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

AWS releases new AI transformation blueprint.
It addresses five themes:

The 22-page executive AI transformation blueprint from AWS spans five chapters with contributions from Capgemini, IBM, and PwC.

1\ Principles for AI success, AWS (p.2)
2\ Building data foundations, Devoteam (p.5)
3\ Agentic use cases, Capgemini (p.10)
4\ Responsible AI governance, IBM (p.14)
5\ Operationalizing AI, PwC (p.18)

Full insights below.

Free executive AI playbooks: https://lnkd.in/e5VBUzsB

New AWS Executive AI Transformation

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.

6 insights for execs to maximize agentic AI ROI:
(according to Accenture)

“1\ Agentic AI marks a shift in economic history. It is changing the rules of competition and redefining the balance of economic value creation (p.4)
2\ The agentic workforce will reshape how all industries create value. Agentic enterprises are around the corner (p.6)
3\ If the company’s agentic AI agenda doesn’t excite investors, the ambition isn’t bold enough (p.8)
4\ Winners will place agentic AI where it unlocks 10x value, not 10% savings (p.9)
5\ Companies must race where agentic AI will shift the competitive frontier. Hesitate and risk being left behind (p.13)
6\ Accenture's "one-two punch" strategy focused on value and key enabling capabilities will put ambitious leaders ahead of the competition (p.14)”

See the full insights below.

P.S. I reviewed 147 AI playbooks from the past 7 months. These 18 are essential reads for leaders: https://lnkd.in/e5VBUzsB

New Accenture Agentic AI

What 4000 leaders revealed about enterprise AI:


Microsoft commissioned IDC to survey 4,000+ enterprise leaders across 16 countries responsible for decision-making on gen AI and agentic AI.

Here are 10 insights from the new 54-page report:

1\ AI investments are on the rise, with nearly 40% of organizations planning to increase AI spending by up to 19% over the next 24 months. 

2\ 24% are repurposing existing IT budgets, 13% are repurposing a portion of the non-IT budget, 34% are adding net new investment.

3\ Organizations are expanding from prebuilt gen AI apps (40% today) to customized or custom-built gen AI solutions (70% in the next 24 months). 

4\ 68% of all respondents use gen AI, with 26% not currently using but planning to use it in the next 12 months. 

5\ Most organizations are seeing returns on their AI investments, with an average ROI of 2.8 times for gen AI users. 

6\ The average ROI realization for gen AI projects is 15 months. 

7\ 37% of all respondents currently use agentic AI, another 25% are experimenting with it, and 24% are planning to use in the next 24 months. 

8\ Agentic AI users reported an average ROI of 2.3 times. Average ROI realization for agentic AI projects is 13 months. 

9\ Nearly 30% identify security, privacy, governance, and compliance are the top challenges to scaling AI.

10\ Over 75% of organizations rate transparency as very or extremely important, emphasizing the need for explainability and human oversight. 

Full report below. How does this compare to adoption in your organization?

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

New Microsoft IDC AI Insights

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

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

Want to secure AI in your enterprise?
(summary table on page 5)

Darktrace, a leader in AI cybersecurity, just released a 15-page vendor-neutral guide outlining the cybersecurity scope of AI.

1\ The guide presents five categories that form distinct layers of protection across the AI lifecycle, each with related risks and safeguards (page 5).

2\ Layers cover defending against misuse, monitoring AI behavior, protecting AI development, securing supply chains, and improving oversight.

3\ The paper guides leaders in translating AI security complexity into clear executive actions centered on trust, accountability, and resilience (page 12).

Many executives still lack a concise definition of what “securing AI” encompasses. Few resources cohesively align risks with safeguards. 

Broader standards like ISO/IEC 42001 set governance principles but lack practical guidance to operationalize enterprise AI security.

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

P.S. Repost to help others secure enterprise AI.

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Lewis Walker ➲

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The Battle

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Lewis Walker ➲

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