Do you need help & advice with AI & Automation?
So, you’ve been hearing a lot about AI, and every time you sit down with your team, someone’s got another wild idea. But if you’re a business leader who’s not sure where to start, this might clear up the fog. There are two dead simple steps you can take to steer your business in the right direction without a massive tech headache.
Why Business Leaders Struggle to Start with AI
The AI world looks huge and a bit scary—from chatbots to analysis tools, options seem endless. So, people either rush in and try everything or ignore it because, well, it’s easier. What usually ends up happening? Bits of ‘shadow AI’. That’s when staff try out AI tools on their own, and nobody really knows what’s going on.
This can be messy. Data privacy, workflow confusion, the works. That’s why doing a couple of small things now is much better than being surprised later.
Step One: Nominate an AI Champion
First up, pick someone in your business to wear the AI hat. Doesn’t need to be a tech wizard—it just has to be a person who’s curious and can keep track of things. Put them in charge of a simple spreadsheet, or use a free template (lots of versions online), that:
- Tracks which AI tools are being used
- Lists ideas your team comes up with
- Notes successes (and mess-ups)
This role acts as your point-person. They’ll know what’s happening, what’s working, and what trial runs are worth sticking with.
Example Table: AI Opportunity Tracker
| Date | Team Member | Tool/Idea Tried | Results | Next Steps |
|---|---|---|---|---|
| 10/04/24 | Sam | ChatGPT | Wrote reports | Needs data checking |
| 13/04/24 | Priya | Dall-E | Marketing art | Schedule review session |
| 15/04/24 | Alex | Notion AI | Internal wiki | Test on new content next |
Step Two: Create an AI Policy for Staff
Don’t let people make questionable choices because they’re not sure what’s allowed. Write a short, plain-language AI policy. This tells your staff what they can and can’t do.
Here’s what to include:
- Confidential Data: Don’t upload private company info to any public AI tool.
- Good Practices: Keep track of where you use AI and always check its output for mistakes.
- Ask First: If unsure, ask the person you nominated in Step One.
Here’s a super simple example:
Our Company AI Policy
- Don’t upload confidential or sensitive company information to any outside AI platform.
- If you want to try a new AI tool, let the AI lead know first.
- Always double-check work made with AI before using it.
- When in doubt, ask!
Print this out, put it where people can see it, or email it to everyone. That stops confusion before it starts.
How These Two Steps Help
By putting one person in charge and making a basic policy, you give your team direction. Nobody’s guessing. You’ve got oversight from day one, so you avoid nasty surprises months later. Plus, it only takes minutes to do.
Your business gets:
- A place staff can go with questions
- An easy system for recording new AI ideas
- Early warning if something’s going wrong
- Safer, more confident use of AI
Getting Started Takes Minutes, Not Months
Honestly, these aren’t huge jobs. Download a tracker template, pick someone, write the policy. That’s it! There’s no need to become an expert before setting up these first steps.
If you need a hand later, there’s plenty of info out there, but starting with these keeps things controlled. Maybe the only hard bit is remembering to use the docs you created—not forgetting them in your downloads folder (we’ve all done it).
So, pick someone, put the policy in place, and see how it goes. That’s how you start with AI without the drama.
Frequently Asked Questions
What is the simplest way to start using AI in a construction business?
Start with one clear, low-risk task that takes up time every week, such as writing first drafts of emails, summarising meeting notes, or organising job information. Keep it small, test it with one team, and check the results before rolling it out wider.
How can AI help a construction company without causing disruption?
AI can save time on routine office work, help staff find information faster, and support better decision-making. The key is to use it on a limited basis first, with clear rules on what it can and cannot do, so your team stays in control.
What should an MD check before introducing AI tools?
Make sure the tool is secure, fits your business needs, and does not put client or project data at risk. You should also agree who is responsible for using it, reviewing the output, and making sure staff are trained properly.
