In this video, you'll learn why locking your organization into a single AI model could be a competitive disadvantage and what to do instead. We discuss how to match the strengths and limitations of each model to the specific business, department and team workflows.

You’ll discover practical ways to safely let teams use multiple models and niche AI tools without overwhelming IT or exposing sensitive data. We share a simple month‑long experiment any business can run to prove the ROI of AI. Finally, we discuss why an internal AI council can keep you current without chasing every new release.

What we discuss:

0:00 - Why using multiple AI models is “table stakes” for modern businesses

4:01 - AI tools as short‑term rentals, not annual software commitments

8:38 - Role of an internal AI council vs. IT

11:31 - The problem with shadow AI

16:03 - One-month business experiment to show ROI

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this video, you'll learn how Gemini 3’s natively multimodal capabilities (text, image, video, audio) open new possibilities of using AI with visual/spatial tasks. You’ll see how Gemini 3 can actually “watch” videos (not just read transcripts) to extract production techniques, generate detailed prompts, and help non-experts create expert-level visuals.

We also explore potential business t use cases across operations, logistics, safety, fieldwork, customer support, fraud detection,

What we discussed:

0:40 - Overview of Gemini 3’s native multimodality

6:45 - Cost and effort comparison with traditional video/3D production

10:15 - Impact on creative workflows and adapting human processes

13:10 - Going beyond writing/analysis

13:55 - Potential business use cases for AI visual-based tasks

21:05 - Future opportunities and applications

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this video, you'll learn how proactive AI is shifting us from “firefighting” to foresight in business. We break down the difference between reactive and proactive AI, using real examples from ChatGPT’s Pulse to show how AI can anticipate needs, set priorities, and even start tasks before you ask. We discuss practical use cases across construction, logistics, customer success, and HR. We also discuss how proactive AI can be designed to broaden your perspective instead of narrowing it.

What we discussed:

0:00 - Proactive AI vs reactive AI and business impact

0:52 - ChatGPT Pulse as the next frontier

4:20 - Benefits of AI recommendations from past work

6:45 - From telling AI what to do, to AI initiating actions

14:23 - Personalization: curation vs discovering new topics

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this episode, you'll learn the real investment your company needs to make in AI training and development to empower your employees, boost retention. We explore why the typical approach to AI training isn't enough. We look at the tangible ROI of on-going training, and the risks of losing top talent. We also discuss how leaders at every level must champion AI upskilling,

What we discussed:

0:00 - The growing AI skills gap

4:15 - Why AI adoption is different from previous technology

8:30 - Importance of AI champions and employee training

12:45 - Addressing employee fears and job security concerns

17:20 - Practical ways to upskill employees

22:40 - ROI of AI training and future opportunities

27:35 - Leadership's role in AI adoption

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this video, you'll learn essential AI transferable skills going beyond just using the latest AI tools. Skills to help you solve real business problems and accelerate your organization's growth. We explore examples, common challenges, and tactics such as knowing when to iterate or start over, providing the right context, knowing when AI is confident but hallucinating and more.

What we discussed:

0:30 - Shifting from tool-based training to skills-based thinking

4:30 - Frequency of AI usage and its impact on confidence and skill growth

7:15 - Skill 1: Decomposing complex problems into AI-solvable pieces

9:01 - Skill 2: Knowing when to iterate with AI and when to start over

10:50 - Skill 3: Recognizing confident hallucinations vs accurate AI output

12:55 - Skill 4: Providing the right amount of context in prompts

14:15 - Skill 5: When to use AI and when to rely on yourself

Connect with us if you want to get the benefits of AI for your business: 0260.AI

Can AI genuinely cut business costs and/or improve productivity by 40, 60. 70%? What is it's true value to business? In this episode, we discuss true business benefits from our client case studies. We explore why backoffice eye-roll tasks are the easiest and highest ROI for using AI. We also look at guard-rails to ensure business protect their data, are secure but can also push AI capabilities.

What we discussed:

1:10 - Why real opportunities lie in back office tasks

4:00 - True impact of AI on repetitive, data-driven tasks

7:15 - Example 1: Payroll and invoice reconciliation

10:04 - Workflow automation maturity: from prompts to agents to full automation

11:31 - Example 2: On-site inspections

13:41 - Example 3: Automating internal reporting

16:32 - Build AI-centric business processes for sustainable long-term gains

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this episode, you'll learn common challenges and costly mistakes when finding AI vendors. We walk through an AI RFP we nearly bid on before seeing all the major red flags.

We explore how the rapidly changing AI landscape is redefining how you need to look for AI partners and vendors. We also discuss why your old RFP and tender process might be the biggest AI mistake your business makes.

What we discussed:

1:06 - Why we went from excited to concerned in an RFP posting

2:00 - First red flag

5:54 - Second red flag

8:30 - Third red flag

11:37 - Fourth red flag

13:56 - Fifth red flag

16:42 - Risks of building a self-imposed "AI prison"

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this episode, you'll learn why adding AI into your existing business workflows means missing out on its real transformative potential. We explore two critical shifts every company must make to become truly AI-centric. Discover why change management and company-wide buy-in are just as vital as choosing the right AI tool. We also see if/how traditional businesses can compete with AI-native disruptors. What we discussed:1:08 - Limitations of task-based AI adoption

6:19 - Why it's difficult to rebuild long-standing processes

10:14 - Competing with AI-native organizations

13:30 - Reimagining workforce roles with AI automation

15:18 - Mindset shift: Training and understanding AI’s full capabilities

21:34 - Key questions to guide AI-centric transformationConnect with us if you want to get the benefits of AI for your business: 0260.AI