In 2023 we wrote about project management and how to start with AI as two separate topics. Three years later, they have become one conversation. AI assistants such as Claude, built by Anthropic, can now take on much of the routine work that slows projects down: turning notes into plans, keeping track of what changed, and writing the update everyone is waiting for.
For a small business, that matters. Most of our clients do not have a full-time project manager. The owner or a team lead runs projects on top of their day job, and the paperwork is usually the first thing to slip. Used well, an AI assistant takes that load off so people can focus on the decisions.
Here is how we see teams putting it to work.
1. Turn a messy brief into a real plan
Start by giving Claude everything you have: the client email, meeting notes, a budget figure and the deadline. Ask it to produce a project plan with phases, tasks, owners and dates, and to list the questions it could not answer from what you gave it.
That last request is the useful part. The gaps it flags (who signs off, what “done” means, which dates are fixed) are exactly the conversations you need to have before work starts.
Try this prompt:
Here are my notes for a new project. Draft a plan with phases, tasks, a suggested owner for each and target dates working back from [deadline]. Then list anything that is unclear or missing.
2. Keep one place for the project’s memory
Claude lets you group a project’s documents and conversations together, so it can refer back to the original scope, past decisions and earlier updates instead of starting from scratch each time. Upload the contract, the plan and your meeting notes as you go. When someone asks “why did we push that date?”, the answer is a question away.
3. Write the weekly status report in minutes
Paste in this week’s notes, the task list or a few lines from each team member, and ask for a status update with three parts: what was done, what is next, and what is at risk. Ask for one version for your team and a shorter one for the client. You review it, correct anything it got wrong and send it.
4. Spot risks before they become problems
Ask Claude to read the plan and your latest notes and act as a critical reviewer: which tasks depend on one person, which dates look tight, which assumptions have not been confirmed. It will not know your business the way you do, but a second set of eyes that never gets tired is a good habit for any project.
5. Connect it to the tools you already use
Claude can connect to common workplace tools, such as Google Drive, Gmail and Google Calendar, so it can read the documents and messages a project depends on rather than relying on what you remember to paste in. Start small: one shared folder and one project. Check what each connection is allowed to see before you switch it on.
Where a human still has to lead
AI changes how much time project work takes, not who is responsible for it. Keep these rules in place:
- Check the facts. An assistant can misread notes or fill gaps with confident guesses. Review dates, numbers and commitments before anything goes to a client.
- Protect sensitive data. Decide what client, employee and financial information may be shared with an AI tool, and write it down for your team.
- Keep decisions with people. Priorities, trade-offs and difficult conversations with clients or staff are leadership work. Use AI to prepare for them, not to have them.
- Measure the result. Pick one thing to improve, such as hours spent on status reporting or the number of late tasks, and check it after a month.
Getting started
Choose one project that is starting in the next few weeks. Use an AI assistant for the plan, the weekly update and a risk review, and compare the effort with your last similar project. Most teams know within a month whether it is worth rolling out further.
If you would like help choosing the right tools, setting rules for your team or building AI into how you run projects, CNM’s IT & Digital Transformation and Management Consulting teams can help. Book a 30-minute consultation and we will look at where AI can save your team the most time.
