Jahanzaib Ahmed

𝗛𝗲𝗹𝗽𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝘀𝗰𝗮𝗹𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀.

I build 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 that scale your business on autopilot—combining AI agents, intelligent automation, and strategic digital transformation to deliver real outcomes.

If you’re a solo founder, lean team, or startup looking to scale without adding headcount, I develop and ship production-ready AI agents  wired to CRM/help desk/calendars/docs—response time ↓, bookings ↑, 20+ hours/week saved.

𝗪𝗵𝗮𝘁 𝗜 𝗿𝘂𝗻

	- 𝗔𝗴𝗲𝗻𝘁𝗶𝗰𝗠𝗼𝗱𝗲 𝗔𝗜 — Custom AI agents for Ops, Support & Growth. We pick one KPI and launch a working AI Agent fast—outcomes, not hype.

	- 𝗚𝗿𝗼𝘄𝗪𝗶𝘁𝗵𝗔𝗜𝗔𝗴𝗲𝗻𝘁𝘀 — My education hub with agent tutorials, tips & templates for building, deploying, and scaling AI agents the right way.

𝗪𝗵𝘆 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗺𝗲

	- 𝗢𝗽𝗲𝗿𝗮𝘁𝗼𝗿 𝗳𝗶𝗿𝘀𝘁: For 6+ years I’ve run 𝗘𝗰𝗼𝗺𝗣𝗮𝗻𝗱𝗮, an e-commerce agency at $30k+ MRR—systems, service delivery, and client results are my defaults.
	- 𝗣𝗿𝗼𝗼𝗳 > 𝗽𝗿𝗼𝗺𝗶𝘀𝗲𝘀: Clear scopes, visible metrics, and weekly iteration.

𝗦𝘁𝗮𝗿𝘁 𝗵𝗲𝗿𝗲

	- Check my Featured section to subscribe to 𝗚𝗿𝗼𝘄𝗪𝗶𝘁𝗵𝗔𝗜𝗔𝗴𝗲𝗻𝘁𝘀 Newsletter.
	- Want an agent live quickly? DM “AI Agent” for the scope + integrations + KPI plan.
	- 𝗙𝗼𝗹𝗹𝗼𝘄 𝗳𝗼𝗿 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀 & 𝘁𝗶𝗽𝘀.

Chief Executive Officer

Working as Shopify Developer and E-commerce strategist.

Jahanzaib Ahmed 🌟 Shopify Developer 👨‍💻

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 ➲

I reviewed 92 AI boardroom playbooks.
These 15 are must-reads for directors:

We are at a pivotal moment in the history of human invention, as board members and management teams work to harness the potential of AI.

However, these opportunities carry significant risks and responsibilities, and decisions leaders make today will shape their firms and society for years to come.

I’ve distilled the key takeaways from 15 top AI playbooks for board directors published in the past year to help you save time and stay ahead.

1\ IoD - AI Boardroom Gov.
2\ Deloitte - Board Roadmap
3\ IBM - AI C-Suite Synergies
4\ AIDC - Board AI Use
5\ Infosys - AI Board Gov.
6\ Stanford - Intel. Board
7\ BCG - Board AI Geopolitics
8\ Berkeley - Board Maturity
9\ Bain - Advisory Board
10\ Deloitte - B. Director Gov.
11\ IoD - Meeting AI Questions
12\ BCG - Board AI Mandate
13\ EY - Board Future
14\ PwC - Board AI Dilemma
15\ KPMG - AI Board ROI

See the image below for takeaways and full playbooks.

P.S. For more like this: https://lnkd.in/eBBHY3H7

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

I reviewed 417 playbooks across 15 industries.
These 30 actually move the needle:

What succeeds in one industry often falls short in another: distinct regulations, operating models, risk profiles, and decision-making dynamics.

Industry-specific playbooks distill the use cases, architectures, and implementation paths proven to work within each sector.

That’s why I analyzed hundreds of AI playbooks and identified the top 30 across 15 industries to help leaders apply what works.

1-2 Retail
3-4 Telecom 
5-6 Government & public sector 
7-8 Energy 
9-10 Legal 
11-12 Advertising
13-14 Financial services 
15-16 Consumer
17-18 Healthcare
19-20 Logistics
21-22 Software 
23-24 Automotive
25-26 Life sciences 
27-28 Manufacturing
29-30 Education

See the graphic below for playbooks and takeaways.

P.S. For more like this: https://lnkd.in/eBBHY3H7

Anthropic published 9 AI agent guides.
Access them here: 

1\ Building effective agents
↳ https://lnkd.in/eVRmy47g

2\ Building a multi-agent research system
↳ https://lnkd.in/eegPHf9k

3\ Effective context engineering for AI agents
↳ https://lnkd.in/eZ_ZsQx9

4\ Demystifying evals for AI agents
↳ https://lnkd.in/eaH99d39

5\ Framework for developing safe and trustworthy agents
↳ https://lnkd.in/eJJJBE2D

6\ Effective harnesses for long-running agents
↳ https://lnkd.in/e9VmfFtX

7\ Building more efficient agents (MCP code execution)
↳ https://lnkd.in/eqV3GPXZ

8\ Writing effective tools for agents — with agents
↳ https://lnkd.in/efjsbBDb

9\ Equipping agents for the real world with Agent Skills
↳ https://lnkd.in/eYicwKyN

Level up or get left behind: https://lnkd.in/eGruXbbb

What 640 CEOs revealed about AI:


BCG released its AI Radar 2026, surveying 2,360 execs across 16 markets, including 640 CEOs. 

The report finds AI investment accelerating as CEOs take direct ownership of AI decisions and upskilling.

1\ Firms will 2x AI spend in 2026 to ~1.7% of revenue. 94% of CEOs remain committed to these levels even if 2026 ROI doesn't materialize.

2\ Half of CEOs believe their roles are at risk if AI fails, yet 82% are more optimistic about AI’s return on investment than last year.

3\ 72% of CEOs now act as primary AI decision makers, with "trailblazing" CEOs spending 8 hours/week on their own AI upskilling.

4\ AI trailblazers are directing over half of 2026 AI budgets to agents and are twice as likely as "followers" to deploy agents end to end.

5\ Western CEOs more often cite investing in AI to avoid falling behind, while Eastern peers invest because they're confident it will pay off.

Full insights below.

P.S. View my newsletter for more executive AI

New BCG Executive AI Insights

Want to level up with enterprise AI agents fast?
This is worth your time:

Boston Consulting Group's 54-slide playbook on building effective enterprise AI agents addresses:

1\ Why enterprise agents are hard to build (p.4)
2\ How to design an enterprise agent (p.11)
3\ How to build an enterprise agent (p.19)
4\ How to assemble an agent platform (p.29)

Read it below.

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

BCG Enterprise AI Agents Playbook

Want to take control of your AI spend?
Deloitte just weighed in:

The new 28-page Deloitte report on AI economics explores how tokens work, how different models shape pricing, and enterprises can optimize spend. 

1\ Tokens are the currency of AI economics, as vital as kilowatt hours are to electricity, yet harder to predict, making AI spend volatile.

2\ AI costs appear as SaaS line items, metered API usage, or owned infra AI factories balancing GPUs, storage, networks, and energy.

3\ Smaller, less predictable workloads may remain API-based, while scaled, high-value workloads shift to AI factories as economics stabilize.

4\ The report provides TCO modeling and scenario analysis to show how AI costs scale and where cost inflection points emerge.

5\ At 84B+ tokens annually, AI factories offer the lowest TCO. API costs scale linearly, while Neocloud hinges on GPU use (page 17).

AI has become the fastest-growing line item in enterprise IT budgets, consuming up to half of total spend at some firms. 

At the same time, rising sovereignty pressures and infrastructure control elevates tokenomics from an IT concern to a board-level issue for CFOs and investors.

If you want to stay ahead in enterprise AI in just five minutes a week, read this: https://lnkd.in/eBBHY3H7

The Pivot to Tokenomics

Deloitte’s new AI agent observability playbook.
It addresses three key ‘how-tos’:

1\ How AI agents change work (page 5)

↳ From human in the loop to human on the loop 
↳ Automation with oversight 

2\ How to define the metrics of success (page 8)

↳ Decomposing tasks, reimagining KPIs 
↳ Smart KPIs for smarter agents 
↳ Designed for impact, primed for performance 

3\ How to monitor AI agent performance (page 13)

↳ Agent operations for effective observability 
↳ A reference architecture for AI agent operations

It also shows AI agent operations in action (page 16), illustrating how agent observability improves business outcomes through an enterprise case study.

View my newsletter for more enterprise AI playbooks.

New Deloitte AI Agent Observability Playbook

How AI is reshaping advertising:
(for the first time in a decade)

The BCG insights detail the emerging “AI attention stack” and explain what shifting consumer behavior inside AI interfaces means for marketing leaders.

1\ Consumers are spending less time in traditional web funnels, feeds, and category pages as predictable browsing patterns continue to decline. 

2\ More consumer journeys now start and finish inside AI interfaces that combine exploration, evaluation, and recommendation in one experience. 

3\ This shift creates an “AI attention stack” (page 2) where time, intent, and influence converge, unlocking advertising opportunities.

4\ BCG highlights implications for marketing leaders, including model-mediated discovery, rising complexity, and trust as a differentiator. 

5\ The next 18 months are pivotal; BCG urges marketers to build AI-native media systems, governance frameworks, and data safeguards.

Full insights below.

View my newsletter for more enterprise AI.

taplio

The Battle

Jahanzaib Ahmed 🌟 Shopify Developer 👨‍💻

Lewis Walker ➲

Followers

Posts

Engagements

Likes

Performance ScoreLewis Walker ➲'s LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Jahanzaib Ahmed 🌟 Shopify Developer 👨‍💻

Lewis Walker ➲

Followers

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

Ready to grow your LinkedIn presence?

Performance ScoreLewis Walker ➲'s LinkedIn Performance