Using AI throughout a project workflow: 5 common challenges solved by AI

There’s no denying that AI, when correctly implemented, can streamline the way we work. Beyond basic task automation, teams are leveraging AI to solve complex business challenges and accelerate project execution.

Powerful AI tools, like Lucid AI, serve as intelligent collaborators, helping eliminate operational friction so teams can stay aligned, make faster decisions, and move from kickoff to launch with confidence.

In this post, we’ll dive into five common project workflow challenges and how teams can leverage AI to drive alignment and productivity.

Challenge #1: Launching new initiatives

Every strategic project starts somewhere. When it feels like there are endless possibilities of where to take an initiative, blank canvas syndrome sets in, stalling momentum before it even starts.  

The AI solution

Using generative AI to source ideas is a great launchpad when you aren’t sure where to start. Lucid AI instantly eliminates the friction of starting from scratch by suggesting ideas or generating boards that you and your teams can riff on. Or, maybe you already have an idea to start with that you want to expand. Lucid AI will provide ideas based on your initial thoughts. 

For example, say you are hosting a session to brainstorm new product features. You can type in the Lucid AI chat box, “I need some new ideas for feature add-ons for my product.” Within seconds, ideas will appear on the board that you and your team can discuss.

Once you’ve got all of your ideas on the canvas, teams can then prompt Lucid AI to build mind maps or organize conceptual frameworks on the canvas. Whether you have a few ideas to start with or aren’t sure where to begin, Lucid AI provides an instant visual foundation. Teams can immediately start evaluating, refining, and iterating rather than waiting for an idea to spark. You can also use AI to generate and sort ideas to uncover insights and themes.

Challenge #2: Synthesizing information and making decisions

The best ideas are only effective when they are put into action. Let’s say your team has already come up with ideas, but now needs to narrow them down to the very best ones. This process can be time-consuming and subjective—team members may not agree on what the most viable ideas are. Once an idea is eventually chosen, add on the time it takes to decide on the next steps and action items, and this can quickly become another hurdle to progress.

The AI solution

Teams can use AI to sort ideas by theme, making it easier to identify patterns and keep the project moving forward. 

Some intelligence tools can even aggregate team feedback and give you an average response to see where the team agrees and where they don’t. Once the team has reviewed those responses, AI can also summarize the ideas and suggest action items. 

To take this a step further, you can use AI within Lucid to analyze your boards, apply conditional formatting, opens in a new tab, and suggest improvements. Within minutes, you’ll have a clearer picture of how to prioritize next steps.

Challenge #3: Creating actionable documentation 

Capturing your current state is critical to identifying opportunities for optimization and to understanding your processes and systems. However, creating this documentation is time-consuming because context is often scattered across silos, institutional knowledge, and ad-hoc communication.

The AI solution

Instead of allotting team time to meticulously documenting processes, your team can reference the record of prompts, inputs, and summaries provided by AI as documentation. Your team can also use AI to automatically diagram processes rather than creating them manually, freeing up time to work toward meeting business goals. 

Lucid AI transforms how organizations generate and maintain institutional knowledge by turning unstructured inputs into live, standardized visual systems.

Here’s how:

• The Process Agent, opens in a new tab acts as an intelligent visual assistant within workflows—analyzing process data, identifying operational bottlenecks, and automatically updating documentation as workflows evolve.
• With Process Capture, opens in a new tab, you can automatically generate diagrams by recording your screen as you walk through a workflow. You can easily scrub out sensitive information.
• Use diagram as code, opens in a new tab to generate powerful Lucid diagrams using Mermaid.

Challenge #4: Building on past learnings  

When the project owners transition or team structures shift, institutional knowledge, opens in a new tab is lost. Re-exploring solved problems results in rework and slowed momentum. In fact, according to a workplace alignment survey, opens in a new tab of about 2,000 knowledge workers globally:

• Workers spend an average of five hours a week searching for the right information to complete projects.
• 47% of workers lack a standardized way to share documents across their tech stacks
• Information lost between meetings was the third-most-reported barrier to innovation.

The AI solution

Rather than burying critical knowledge in static documents, large language models (LLMs) can keep a history of past prompts and inputs your team has tried for specific projects. Team members—even those new to an organization or project—will be able to reference past learnings and documentation so they aren’t starting from scratch for every project. Instead, they’re quickly catching up to speed on what’s been tried before and expanding on that knowledge. 

With the Lucid MCP server, opens in a new tab, you can bridge the gap between Lucid and LLMs. This allows users to easily locate, summarize, and make changes to Lucid documents within the AI tools they work in daily.

Connect Lucid to popular AI tools like:

• Claude
• Cursor
• Chat GPT
• VS Code Copilot
• Slack

Challenge #5: Ensuring all stakeholders are up to speed

Sometimes stakeholders can’t attend a meeting or working session. When this happens, team members spend time catching them up to speed instead of making progress on the project. In fact, 45% of workers, opens in a new tab find that not all relevant parties are kept in the loop on projects, impeding progress. Additionally, if the stakeholder who missed the meeting is missing context, they may be inefficient in their project role.

The AI solution

Stakeholders who miss a meeting can read the summary and action items provided by AI and quickly get up to speed with the rest of the group, so they can start adding value to the project. Even stakeholders who attended the meeting may have a difficult time recalling everything that was discussed in the meeting, so they can also review the summary provided by AI as a refresher. Getting everyone on the same page becomes asynchronous and easy.

Instead of asking project managers to draft lengthy status reports, teams can leverage Lucid AI to instantly summarize their Lucid boards and documents, opens in a new tab into executive-ready summaries. This way, those who miss a meeting or simply need a quick refresher can review AI-generated summaries and action items to catch up asynchronously.

An efficient way forward

Solving business challenges with smart AI tools frees up time for your teams to hone in on work that moves the needle and requires creative problem-solving. When AI is used to enhance your organization’s productivity, the opportunities for business growth become exponential.