Updated to add where AI fits into that process and how it can help.
When a project falls behind schedule, exceeds its budget, or delivers subpar results, the blame often falls on the project manager. ‘The project manager isn’t performing well’. Or maybe it falls on the project team. But what if the issue isn’t their fault?
At Waddell Group, we specialize in guiding medical device projects to success. With decades of combined experience across a wide range of medical fields, we understand the unique challenges of the industry and have helped startups and Fortune 50 companies bring groundbreaking innovations to market.
That’s why we can confidently say that ‘In many cases, project teams struggle because of systemic issues: unclear expectations, poor communication, or a lack of the right skills and training.’
Effective project management depends on multiple factors—many outside your project manager’s or team’s control.
But that doesn’t mean you can’t take proactive steps to address these challenges head-on. By identifying and resolving these issues early, you can significantly improve your project outcomes.
Reasons why your project manager/team isn’t performing at their full potential (and how to fix it wth the help of AI)
1. The project may not be set up for success
Leadership might assume a project will succeed simply because they’ve assigned a capable project manager—but success requires more than ‘just’ talent. Many project failures can be traced back to issues at the planning stage. If a project starts with unrealistic deadlines, unclear objectives, or inadequate resources, even the most capable project managers will struggle.
The solution to this is to start with realistic planning and ensure that expectations align with available resources. This means:
- Knowing your project gaps
- Defining how to fill them
- Knowing your team
- Being clear about the project objectives and resources
How AI can help
AI won’t fix poor planning, but it can help project teams:
- Surface hidden risks early by analyzing past project data, timelines, and dependencies to highlight where delays or bottlenecks are likely to occur before the project even begins.
- Stress-test timelines and resources by simulating different scenarios (resource changes, delays, scope shifts)
- Identify capability gaps by mapping required skills against available team capabilities, helping leadership spot where additional expertise or training is needed.
- AI can standardize and refine project briefs, ensuring objectives, deliverables, and success criteria are clearly defined and aligned across stakeholders.
2. Scope creep is throwing everything off
If your team constantly takes on new requests mid-project, they’re not failing—you’re setting them up to fail. If your project keeps expanding beyond its original plan, your PM may be in constant firefighting mode. This leads to project delays, budget overruns, and frustrated stakeholders.
The solution: Define the project scope clearly from the start and implement a structured change request process. If new requests arise, they should be formally assessed for impact on budget and timeline.
AI can help you track and flag scope changes in real time
It can monitor project updates, emails, and task changes to detect when new work is being introduced outside the agreed scope. When a new request comes in, AI can estimate its effect on timelines, costs, and resource allocation—before decisions are made.
By making scope changes visible early, project managers can shift from reactive to proactive control.
3. Communication breakdowns are hurting progress
Miscommunication can derail even the best-laid plans. When team members aren’t aligned, decisions take longer, work gets duplicated, and costly mistakes happen.
Signs of poor communication:
- Team members aren’t sure who owns what
- Stakeholders get conflicting updates
- Important project details fall through the cracks
- Updates are infrequent
- Expectations are unclear
Solution: PMs should establish clear communication channels, conduct regular status meetings, and ensure all stakeholders are aligned on project goals and timelines.
How AI can help project teams communicate better
AI doesn’t replace communication; it makes it clearer, faster, and far more consistent by:
- Automating structured weekly updates. AI can gather updates directly from team members, project tools, and workflows. This means dates and deliverables don’t live in scattered conversations. They’re consistently tracked and communicated.
- Reducing administrative burden so PMs can lead instead of spending hours chasing updates and compiling reports. That frees up time for project managers to do what actually drives performance: working one-on-one with team members, resolving issues early, and keeping the team aligned.
- Catching conflicting updates early. When updates are only shared once or twice a week, misalignment can easily build up. AI can flag inconsistencies across updates, timelines, and dependencies—so conflicts are addressed through communication before they impact delivery.
- Ensure ownership is always clear. AI systems can continuously track who owns what and highlight gaps or overlaps in responsibilities.
- Prevent critical details from falling through the cracks. When AI is built into your workflow to collect and track key project updates, important details are far less likely to be missed. Nothing relies solely on memory or manual follow-ups.
- Summarizing meetings. There are now many AI tools that can automatically record meetings and generate summaries. What used to take hours—capturing notes, summarizing discussions, and compiling updates—can now happen automatically. If your project involves multiple meetings each week across different teams or functions. You can feed multiple meeting summaries into an AI system to generate a single, high-level weekly overview.
However, there’s an important caveat: AI-generated summaries should never be sent out unreviewed or unedited. Relying on them blindly is one of the fastest ways to lose credibility. Project communication still requires judgment, context, and accountability. AI supports communication. It doesn’t replace ownership.
4. They might not have the right training or support
Even experienced project managers need continuous development to navigate today’s challenges. Many struggle not because they lack talent but because they haven’t been equipped with the right frameworks and tools.
AI and training: where the real shift is happening
One of the biggest advantages of AI in project management is simple: It removes a significant portion of the administrative burden.
And that changes how project managers spend their time.
Instead of focusing on tracking updates, compiling reports, and managing documentation, they can:
- Spend more time supporting their teams
- Address issues before they escalate
- Strengthen one-on-one communication
- Ensure expectations are clearly understood and met
It’s no longer just about investing in project management training.
It’s about combining that with AI capability.
Because the teams that know how to use AI effectively aren’t just faster—they’re more focused on the work that actually drives project success.
If your project team isn’t performing at its full potential, the issue often isn’t capability. It’s visibility. It’s clarity. It’s how the project is set up and supported. AI won’t fix those problems on its own. But it will expose them faster. And when you can see what’s really going wrong, you can take the right steps to fix it.
At Waddell Group, we help medical device teams identify the gaps that slow projects down—and put the right systems, training, and support in place to move them forward. If you’re looking to improve project performance, reduce delays, and bring more clarity to your teams, we’re here to help.