Webforge Development

"How do I optimize my product development strategy?"
"What if my product doesn't resonate with customers?"
"What if my competitors outshine me?"

These are legitimate concerns for any business.

Whether you're a startup or an established company...

How you present your product is everything.

- You want to be clear in your strategy
- You want to be strong in your execution
- You want to be remembered for your innovation

To do so, you need a robust product development approach and a data-driven strategy.

They trust me with their product vision. Will you?

Need to streamline your product management?
Need to integrate AI into your business processes?
Need to develop custom dashboards for data insights?

Say "Hello Jofu" in a message and let's discuss your product success journey.

Chief Product Officer

Freelance | Self-Employed

As a team, we harness the power of machine learning to decipher complex consumer behaviors and trends. This AI-enabled approach allows us to anticipate customer needs and deliver targeted, effective advertising campaigns. It's exciting to see how this technology-driven approach not only optimizes ad performance but also opens up new growth opportunities for businesses of all sizes.

We are a diverse group of professionals - marketers, data scientists, and technology enthusiasts - all working together to push the boundaries of what's possible in AdTech. Our commitment to innovation and impact defines who we are and what we strive to achieve.

Senior Product Manager

Powerful Nutrition

As a Product Manager at Powerful Nutrition, I optimized product development operations and implemented Agile methodologies, leading to a 25% increase in revenues and improved customer retention. My expertise in deploying data-driven tools like Tableau and leveraging project management software (JIRA, Confluence) contributed to enhancing user experience, streamlining collaboration, and driving business growth.

Product Manager

RAGE LOGISTICS LLC

At Rage Logistics, I developed efficient vehicle management systems and utilized analytical tools to optimize daily operations, while strategizing product pricing and market positioning. My achievements include generating over $1M in revenue, enhancing growth by 175%, and acquiring long-term partners through the successful implementation of B2B marketing strategies and communication plans.

Product Project Manager

I Help Businesses Thrive with Data-Driven Product Strategies | Senior Product Manager | Product Development Specialist | Chief Product Officer | LinkedIn Top Product Development Voice

Hey there, thanks for stopping by my profile!

I'm Jonathon Daigle, a seasoned Senior Product Manager with over 11 years of expertise in product management, specializing in innovative solutions that bridge businesses with their customers. I am currently a Senior Product Manager at The Cutting Edge.

In the trenches at The Cutting Edge, I lead a dynamic team comprising marketers, data scientists, and technologists. Together, we harness the power of machine learning to decode intricate consumer behaviors, crafting targeted advertising campaigns that drive substantial growth and value.

I've also co-founded WebForge, where we empower businesses to launch their dream products with confidence. Through agile development methodologies, we streamline internal tools, develop AI agents, and automate mundane tasks, enhancing business efficiency and productivity.

Services:

- Internal Agents Assistance
- AI Integration for Business
- Internal Tools Management
- Internal Automation Solutions
- Custom Dashboard Development

Schedule your personalized consultation call today to discuss how we can tailor our services to meet your specific business needs and goals: (Check Feature section)

Here's what I bring to the table:

Design sprint proficiency
Consumer research expertise
Seamless workday integration

As a team player, I thrive on collaboration and innovation, driving projects from ideation to execution with precision and agility. My passion lies in leveraging data and technology to solve complex business challenges and propel brands towards sustainable growth.

If you're looking to elevate your product strategies and drive impactful results, let's connect!

Thanks for reading up until here. You're amazing!

Cheers,
Johnathon
Website: https://www.webforgedevelopment.tech/

Johnathon Daigle

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 ➲

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

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

New OpenAI Enterprise Scaling Playbook

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

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.

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

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

New Report: AI Use by Directors and Boards

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

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Johnathon Daigle

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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