Canva Co-Founder Thinks Most Companies Are Getting AI Adoption Wrong

In Today’s edition:

1. Canva Co-Founder Says Companies Should Not Force Employees to Use One AI Tool

2. PMNA TUTORIAL: How to Use Claude to Build a Confidence-Drift Tracker That Runs on Its Own

3. Oracle Introduces AI-Powered Kanban Applications to Improve Production Planning

4. TOOL REVIEW: Nudge Task AI Helps to Organize Your Project Workload Automatically

5. Exciting Career Opportunities for Product and Project Management Professionals

Reading time: 5 minutes

HEADLINE NEWS

Canva Co-Founder Says Companies Should Not Force Employees to Use One AI Tool

Canva co-founder Cameron Adams says companies should avoid forcing employees to use a single AI model. Instead, he argues that giving teams the freedom to experiment with different AI tools leads to better workflows, greater innovation, and more meaningful adoption across the workplace.

• Canva co-founder Cameron Adams says employees should be free to choose the AI tools that best fit their work.

• Adams believes mandating a single AI model can limit experimentation and reduce innovation.

• Canva gives employees dedicated AI budgets to test and evaluate different AI tools.

• The company also runs an AI Discovery Week, where employees explore AI use cases outside their regular workloads.

• Adams says Canva focuses on enabling AI adoption through trust and experimentation rather than enforcing usage targets.

According to Adams, successful AI adoption comes from empowering employees to explore and discover what works best for them, not from company-wide mandates. He believes this approach creates a more innovative workplace while helping teams integrate AI into their day-to-day work more effectively. Read More 

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PMNA TUTORIAL: How to Use Claude to Build a Confidence-Drift Tracker That Runs on Its Own

Nobody announces that a project is going wrong. The update just drifts from "done Thursday" to "on track" to "should be fine" to "hopefully this sprint," and every single one of those reads as normal on its own. The signal lives in the slope, not the sentence, which is exactly what human attention can't hold across six people and four weeks. This tracker scores every update as it arrives, keeps a rolling history, and has Claude analyze the trajectory against each person's own baseline; because absolute confidence scores just tell you who writes cautiously.

You’ll learn to:

• Capture and normalize the update stream — tag every update with who, which workstream, and when; person × workstream is the unit that carries signal.

• Score each update on arrival — a cheap call rates confidence and specificity and extracts any commitments, blind to history so scores stay stable over time.

• Append to a history store — one compact row per update, so the weekly pass reasons over numbers instead of re-reading months of raw text.

• Bootstrap the baseline and wait out the cold start — no useful output for 3–4 weeks; deviation from baseline is undefined until a baseline exists.

• Run the weekly trajectory analysis — hand Claude the trailing series, the person's baseline, and context events; classify as real drift, style noise, or scope drift.

• Flag commitment evaporation — dates that appear once and then silently vanish, never missed and never renegotiated, are the sharpest signal in the build.

• Route to a private digest — three questions worth asking, to you only, framed around work rather than people.

• Log outcomes and calibrate — record whether flagged drift actually preceded a slip, so the system grades its own predictions.

Why it matters:

The information was always there, spelled out across four Slack messages in four weeks. You missed it because "should be fine" only means something next to "done Thursday" from three weeks ago, and holding those side by side isn't what attention does. The machine's advantage isn't intelligence; it's that it never forgets last month's phrasing and never gets bored comparing. Anchor Claude to each person's own baseline and constrain it to asking questions about work rather than rendering verdicts about people, and you get three good questions on a Monday morning; two sprints before the date slips, back when it was still cheap to fix.

FULL TUTORIAL HERE

Oracle Introduces AI-Powered Kanban Applications to Improve Production Planning

Oracle has introduced new AI-powered applications for its Fusion Cloud Supply Chain & Manufacturing (SCM) platform to help manufacturers improve production readiness, streamline Kanban management, and optimize inventory. The update expands Oracle's growing portfolio of agentic AI applications, enabling supply chain teams to automate decision-making and improve operational efficiency across manufacturing processes.

• Oracle unveiled four new Fusion Agentic Applications to strengthen manufacturing and supply chain operations.

• The new Production Readiness Workspace uses AI to reduce setup errors and prevent production delays before manufacturing begins.

• The Kanban Administrative Workspace helps manufacturers optimize material replenishment, reduce shortages and excess inventory, and keep production flowing smoothly.

• Oracle also introduced enhanced inventory optimization capabilities to balance inventory costs while maintaining service levels and improving resilience.

• The new AI applications are embedded within Oracle Fusion Cloud SCM, allowing organizations to automate complex supply chain decisions using specialized AI agents.

With these latest AI-powered manufacturing tools, Oracle is pushing beyond traditional automation into intelligent, proactive supply chain management. The new capabilities can help manufacturers reduce operational bottlenecks, improve inventory performance, and make faster, data-driven decisions across production and material planning. Read More

TOOL REVIEW: Nudge Task AI Helps to Organize Your Project Workload Automatically

Nudge Task AI is an AI-powered productivity platform that automates task scheduling to help users spend less time planning and more time getting work done. By analyzing deadlines, priorities, estimated effort, and calendar availability, it intelligently builds optimized work schedules that reduce decision fatigue and improve productivity.

• AI-Powered Automatic Scheduling — Automatically organizes tasks into the best available time slots based on deadlines, priorities, and calendar availability.

• Personalized Productivity Planning — Creates schedules around your working hours, focus periods, breaks, and recurring commitments.

• Markdown Task Import — Lets users import task lists directly from Markdown files for faster and easier workflow setup.

• Simple Kanban Board — Tracks task progress with an easy-to-use "Not Started," "In Progress," and "Done" workflow.

• Intelligent Workload Optimization — Continuously balances workloads to minimize scheduling conflicts and ensure high-priority tasks are completed first.

Nudge Task AI is particularly valuable for project managers who need a smarter way to manage their own workloads alongside multiple projects and deadlines. Its AI-driven scheduling reduces the time spent organizing tasks, helping managers focus on execution, decision-making, and keeping projects on track. By turning complex task lists into actionable daily plans, the platform makes it easier to stay productive without constantly reshuffling priorities.

TOOL LINK

Exciting Career Opportunities for Product and Project Management Professionals

• Technical Product Manager @ Tata Consultancy Services

  📍 North Carolina.

• Senior IT Project Manager @ Humana

  📍 Charlotte, NC.

• Senior Product Manager, Wealth Management @ Ameriprise

  📍 Charlotte, NC.

• Senior Project Manager - Operational Readiness @ PSC Biotech Corporation

  📍 Holly Springs, NC.

• Director, Managed Accounts Product Manager @ TIAA

  📍 Charlotte, NC.

THAT’S A WRAP