Using AI at Work: AI in the Workplace & Generative AI for Business Leaders

Most AI pilots do not fail because the technology is weak. They fail because the organization was never prepared to turn the experiment into a real operating workflow.
In this episode Chris sits down with Ronnie Kwesi Coleman, CEO of Puntt AI and a three-time founder focused on the future of work. They unpack the mistakes that keep enterprise AI stuck in AI pilot purgatory, why expert judgment matters more than simply giving AI more data, how AI agents should learn alongside experienced employees, and why productivity without measurable business outcomes and AI ROI is the wrong target.
They also explore the shift from creation to review as a new AI bottleneck, the limitations of the "single company brain" idea, and the risks of building an enterprise AI strategy around one provider. Listen to learn how leaders can move AI pilots from experimentation into production while preserving the judgment, integrations, and strategic flexibility required for scaling AI across the organization.
Chapters
(00:00) Introduction
(03:04) How to Choose the Right AI Pilots
(05:47) The Five Deadly Sins of AI Pilot Purgatory
(09:46) Starting Small While Planning to Scale
(14:04) Moving From AI Productivity to Business ROI
(18:02) Capturing Expert Judgment With AI Agents
(23:07) How Much Should You Trust AI?
(29:04) AI Agents and the New Review Bottleneck
(32:33) Why the Single AI Brain Model Falls Short
(38:22) Avoiding AI Vendor Lock-In and Hiring Agents
Resources:
🔎 Find Out More About Ronnie Kwesi Coleman

Puntt AI
https://www.puntt.ai/
Ronnie Kwesi Coleman on LinkedIn
https://www.linkedin.com/in/ronnie-kwesi-coleman/

🛠 AI Tools and Resources Mentioned:

Puntt AI
https://www.puntt.ai/
Anthropic Claude
https://www.anthropic.com/claude
OpenAI
https://openai.com/
Meta
https://www.meta.com/
Fall in Love with the Problem, Not the Solution by Uri Levine
https://www.simonandschuster.com/books/Fall-in-Love-with-the-Problem-Not-the-Solution/Uri-Levine/9781637746608
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AI can make your team faster while quietly making them worse at thinking. In this episode Chris sits down with Rana Gujral, cognitive AI leader, CEO of Behavioral Signals, and author of The AI Instinct, to explore what happens when AI moves from a productivity tool into the cognitive infrastructure businesses use to make decisions.
Rana explains why leaders need to distinguish between employees who are genuinely deciding and those who are simply approving AI output, how reversibility can determine when rigorous decision trails are necessary, and why organizations should deliberately preserve opportunities for people to exercise judgment without AI. He also shares his personal process for working with AI on strategic decisions and challenges leaders to measure what AI is doing to their team's thinking, not only their output. Listen to learn how to capture AI's advantages without quietly outsourcing the judgment your organization will need when the easy answers disappear.

Chapters:
(00:00) Introduction
(03:34) AI as Cognitive Infrastructure
(07:47) Building Rules for Human and AI Decisions
(10:46) Preventing Automation Bias and Protecting Human Judgment
(13:42) Redesigning Organizations Around AI Decision-Making
(19:58) How AI Sculpts Human Attention
(22:40) Are Your People Deciding or Just Approving?
(25:14) When AI-Assisted Decisions Need an Audit Trail
(28:26) Rana's Personal Process for Strategic AI Decisions
(31:06) Building Senior Talent When AI Does the Junior Work
(39:24) What Is AI Doing to the Way Your Team Thinks?

Resources:
🔎 Find Out More About Rana Gujral

Rana Gujral Website: 
https://ranagujral.com/
Rana Gujral on LinkedIn: 
https://www.linkedin.com/in/ranagujral
Behavioral Signals: 
https://behavioralsignals.com/
Book: The AI Instinct: The Future of AI and Human Decision-Making
https://ranagujral.com/book

🛠 AI Tools and Resources Mentioned:
Claude: 
https://www.anthropic.com/claude
Chat GPT: 
https://openai.com/
Gemini: 
https://gemini.google.com/
Chief AI Officer: 
https://chiefaiofficer.com/
Wiley: 
https://www.wiley.com
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AI may automate more execution, but that makes judgment, coordination, and management more important. In this episode Chris sits down with Erkang “Ken” Zheng, founder and CEO of Ariso, to explore why the next major opportunity for AI at work is not simply producing more content, but helping people manage work more effectively.
Ken explains why every knowledge worker increasingly needs management skills, including tracking, prioritization, communication, accountability, and reflection. He also breaks down Ariso’s distributed approach to the “company brain,” the role of an AI chief of staff, and how individual AI partners can improve coordination while preserving access controls and privacy. Listen to understand how leaders can use AI to strengthen the management layer of work as execution becomes increasingly automated.

Chapters:

(00:00) Introduction
(04:37) Why Everyone Is a Manager Now
(06:25) The Work Around the Work
(08:28) Management Skills That Matter More With AI
(11:59) Rethinking the AI Company Brain
(14:48) Building the Company Brain From the Individual Up
(19:18) When an AI Intelligence Layer Starts Making Sense
(23:43) What an AI Chief of Staff Should Actually Do
(29:19) How Ariso Differs From DIY AI Agents
(38:11) How Quickly Teams Can See Value From AI

Resources:

🔎 Find Out More About Erkang “Ken” Zheng

Ariso: 
https://ariso.ai/
Ariso Blog:
https://ariso.ai/blog
Ariso LinkedIn:
https://www.linkedin.com/company/ariso-ai 
Erkang Zheng on LinkedIn:
https://www.linkedin.com/in/erkang

🛠 AI Tools and Resources Mentioned:
Ariso / Ari:
https://ariso.ai/
ChatGPT:
https://chatgpt.com/
Claude and Claude Code: 
https://www.anthropic.com/claude
Fathom: 
https://fathom.video/
Fireflies.ai: 
https://fireflies.ai/
OpenClaw:
https://openclaw.ai 

📩 Reach Out to Chris Daigle:
doc@chiefaiofficer.com 
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What if the biggest bottleneck in finance isn't the software, but the way work gets done?
In this episode Chris sits down with John Glasgow, Founder and CEO of Campfire, an AI-native ERP platform built for finance and accounting teams. John explains why simply adding AI to legacy systems falls short, how agentic workflows are changing accounting operations, and why finance leaders should think of AI as a teammate rather than a tool. He shares real examples of AI handling reconciliations, treasury management, reporting, and close processes while keeping humans accountable for outcomes.
The conversation explores practical adoption strategies, how finance teams can build trust in AI, and where human judgment remains essential. Leaders will come away with a clear framework for introducing AI into critical business processes while maintaining accuracy, accountability, and stakeholder confidence.
Chapters:

(00:00) Introduction
(02:00) Meet John Glasgow and Campfire
(03:00) Why AI-First ERP Is Different
(06:04) From System of Record to System of Work
(08:26) AI as Operational Capacity, Not Just Productivity
(13:47) Inside Campfire's Ember Agents
(16:04) Building Trust in AI for Finance Teams
(18:49) Treat AI Like a New Hire
(22:13) Where Humans Must Stay in the Loop
(28:49) Customer Results and Real World Impact
(31:19) Does AI Replace Finance Jobs?
(34:27) The Skills Future Finance Leaders Need
Resources:

🔎 Find Out More About John Glasgow:

John Glasgow LinkedIn
https://www.linkedin.com/in/johnglasgow/ 
Campfire 
https://www.campfire.ai
Campfire LinkedIn
https://www.linkedin.com/company/meetcampfire 

🛠 AI Tools and Resources Mentioned:

Campfire 
https://www.campfire.ai
Claude 
https://claude.ai
Anthropic 
https://www.anthropic.com
NetSuite 
https://www.netsuite.com
SAP 
https://www.sap.com
Workday 
https://www.workday.com
QuickBooks
https://quickbooks.intuit.com
Xero
https://www.xero.com
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Hiring is getting faster, noisier, and harder to evaluate. In this episode Chris talks with James Terry, Head of US Revenue at Indeed Flex, about how AI is reshaping recruiting from application screening to workforce planning. James explains why rising application volume is pushing employers toward AI interviews, how human review still fits into the process, and where AI can help recruiters evaluate candidate skills at a scale traditional hiring workflows cannot handle. 
They also explore how AI can move HR beyond administrative work by connecting workforce, operations, and performance data, plus how James uses tools including Gemini and NotebookLM to accelerate proposals and decision support. The conversation ultimately shifts from replacing jobs to redesigning roles, building stronger AI fluency, and giving teams access to the data that makes AI genuinely useful. Listen for a practical look at what AI adoption becomes when leaders move beyond experimentation and apply it to real operating problems.

Chapters

00.00 Introduction
01:57 AI Hiring and the Race to Build AI Fluency
06:42 Putting AI to Work Across Revenue and Operations
10:17 Why Application Overload Is Breaking Traditional Screening
11:51 AI Interviews at Scale With Human Review
15:55 Can AI Identify Better Candidates?
21:30 Turning HR Into a Strategic Business Function
24:57 Using Workforce Data to Reduce Turnover
30:34 From AI Experiments to Real Workflows
34:48 How AI Will Change Jobs and Roles
41:41 Connecting Data, Building a Second Brain, and Shaping Vendor Roadmaps

Resources:

🔎 Find Out More About James Terry

James Terry on LinkedIn: 
https://www.linkedin.com/in/james-terry-33023717
Indeed Flex:
https://indeedflex.com/ (Indeed Flex US)
Indeed Flex contingent labor webinar featuring James Terry: https://indeedflex.com/employers/resources/industry-reports/webinar-contingent-labor-in-manufacturing-competitive-advantage/

🛠 AI Tools and Resources Mentioned:

Indeed Smart Screening:
https://www.indeed.com/employers/smart-screening 
Google Gemini: 
https://gemini.google.com
Gemini Gems:
https://support.google.com/gemini/answer/15235603 

Google NotebookLM: 
https://notebooklm.google.com
Snowflake: 
https://www.snowflake.com/en
Tableau: 
https://www.tableau.com/
ChatGPT: 
https://openai.com/chatgpt/overview/
Chief AI Officer: 
https://chiefaiofficer.com
Using AI at Work: 
https://usingaiatwork.com

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