The reality check — is your business ready for AI?
Jan 28, 2025
7 min read
Personal Insights

Businesses keep asking me for fancy AI agents before they've even sorted out their basic systems. If you're still using paper forms and Excel spreadsheets, we need to talk about getting the foundations right before AI can do anything useful for you.
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Every week, business owners call me with the same request: "Kels, we need an AI agent to handle our customer service" or "Can you build us a voice assistant to take bookings?"
My first question is always the same — "Why?"
And that's where things get interesting. Most haven't identified a specific pain point. They've just heard AI is the next big thing, and they don't want to be left behind.
But here's the uncomfortable truth that nobody's talking about: If your business is still running on paper forms, scattered Excel files, and manual booking systems, AI agents can't help you. In fact, they'll probably make things worse.
Let me explain why — and what you actually need to sort out first.
The paper problem — why AI can't help when everything's in a folder
"But we've always done it this way" — The hidden cost of paper systems
Last month, a local plumbing company asked me to implement an AI phone system to schedule jobs.
Sounds reasonable... until I discovered their current setup:
Customer records in a filing cabinet
Job details on paper forms in the van
Invoices created in Word and printed out
Availability tracked in a paper diary
This isn't unusual. About 60% of small businesses I consult with still use paper for at least 10% of their operations — with home service businesses relying on it even more. In my observations from helping small businesses adopt AI solutions, the most successful implementations always start with companies that have already established digital foundations.
The hard truth? AI needs digital data to function. If your customer information lives on paper or is scattered across handwritten notes, no AI system in the world can access it.
"We spent £3,000 on a chatbot system that couldn't answer basic questions because all our product information was in brochures, not on our website." — Retail shop owner
Excel chaos — when your customer data lives in 15 different spreadsheets
Maybe you've moved beyond paper. That's great! But if your customer information is spread across multiple Excel files — one for contacts, another for orders, a third for payment history — you're still not ready.
AI systems need data that is:
Consistent (same format throughout)
Connected (relationships between different pieces of information)
Clean (without duplicates and errors)
When I audit businesses interested in AI, I typically find information scattered across:
The owner's email inbox
Various Excel spreadsheets
Text messages with clients
Notes in phone apps
Employee's personal knowledge
This fragmentation means an AI agent would only have access to a tiny slice of what it needs to be helpful.
The missing information AI needs to actually work
Even businesses with some digital systems often miss critical pieces AI requires:
Clear process documentation (what happens in each situation)
Decision rules (when to escalate to a human)
Complete customer conversation history
Product or service details in structured format
Without these elements, an AI agent would be like a new employee who's never been trained, has no access to company information, and isn't allowed to ask questions.
Getting the basics right first
Simple booking systems that won't break the bank
Before considering AI, implement a basic online booking system. Options like Calendly (from £8/month) or Acuity Scheduling (from £10/month) can eliminate paper diaries instantly.
Benefits you'll see immediately:
No more double-bookings
Automatic customer reminders (reducing no-shows)
Digital records of all appointments
Integration with your calendar
A hair salon I worked with saw no-shows drop by 60% within a month of implementing online booking — a massive win before we even discussed AI.
Customer info — getting it all in one place
A simple CRM (Customer Relationship Management) system is non-negotiable before AI implementation.
You don't need anything fancy. For very small businesses, even a well-organized Google Sheet can work.
For others, user-friendly options include:
Zoho CRM (from £12/user/month)
Less Annoying CRM (£15/user/month)
The key is having ONE place where all customer information lives — contact details, purchase history, preferences, and communications.
Digital payments — moving beyond cash and cheques
If you're still primarily dealing with cash or cheques, that's another red flag for AI readiness.
Digital payment processors like Square, SumUp, or Zettle make it easy and affordable to accept card payments with minimal setup.
Why this matters for AI readiness:
Creates digital records of all transactions
Allows for automation of payment reminders
Provides data that AI can use to identify patterns
Reduces manual reconciliation errors
Wondering if your business has the right digital foundation for AI adoption? We can do a quick 15-minute reality check to identify your specific gaps and opportunities.
Real talk: why most AI projects flop for small businesses
"We bought an AI chatbot and nobody used it" — a cautionary tale
A local estate agent spent £2,000 on an AI chatbot for their website…
Six months later, they turned it off because:
It couldn't answer specific questions about properties (the data wasn't connected)
Staff forgot to update it when details changed
Customers found it frustrating and called anyway
The problem wasn't the technology itself — it was implementing it before the business was ready.
The hidden time costs nobody tells you about
Even with the best AI tools, expect to spend significant time on:
Training the AI with your specific information
Checking and correcting its responses
Updating it as your business changes
Managing customer expectations
One business owner told me: "I thought the AI would save me time immediately, but I spent 10 hours a week for a month just getting it set up correctly."
When staff aren't ready (and how to get them onboard)
If your team struggles with current technology, introducing AI will only create more friction.
Signs your team may not be ready:
Resistance to existing digital tools
Heavy reliance on "the way we've always done it"
Limited comfort with basic computer skills
Before introducing any AI, involve your team in digitizing basic processes. Their buy-in is critical for success.
Start small and build up — the practical path
First step: getting your customer info organized
Begin with the foundation — a single, organized system for customer information:
Choose a simple CRM or even a well-structured spreadsheet
Import all current customer data
Clean up duplicates and incomplete records
Create a process for keeping it updated
This alone will improve your efficiency immediately. A garden center I consulted with found they were losing 20% of follow-up sales opportunities simply because customer information was scattered across paper forms, emails, and text messages.
Second step: streamlining how you work day-to-day
Once your customer data is organized, look at your daily operations:
Which tasks are repetitive and time-consuming?
What information gets passed between people?
Where do errors or delays typically happen?
Document these processes — even if informally. A simple flowchart or checklist can reveal opportunities for immediate improvement. This approach aligns with broader practical business automation strategies that focus on fundamentals before adding advanced technology.
Then (and only then): where AI can actually help
With digital foundations in place, you can identify specific places where AI might add value:
Answering common customer questions
Scheduling appointments based on availability
Following up on quotes or unpaid invoices
Categorizing incoming enquiries
Start with a single, well-defined use case rather than attempting to transform everything at once. There are a variety of AI tools that can scale your business once you have these foundations in place.
How to know if you're actually ready
Simple questions to ask yourself
Be honest about these:
Can you access complete customer history in under 30 seconds?
Do you have a booking/appointment system that's entirely digital?
Is your product/service information stored in a structured digital format?
Do you have documented processes for common scenarios?
Can your team adapt to new systems relatively easily?
If you answered "no" to any of these, focus there before considering AI.
The 5-minute tech check
Take 5 minutes to consider how a new customer interacts with your business:
How do they find you? (Paper ads or digital marketing?)
How do they contact you? (Phone calls or online forms?)
How do you store their information? (Paper forms or digital system?)
How do you deliver your service? (Paper invoices or digital receipts?)
How do you follow up? (Manual calls or automated emails?)
The more digital touch-points, the more ready you are for AI.
Setting expectations that actually make sense
Even with perfect preparation, set realistic expectations:
AI won't eliminate all human involvement
Initial setup will require significant time investment
You'll need to regularly review and refine the system
Some customers will still prefer human interaction
The path forward
Getting the basics right isn't glamorous, but it's essential.
I've seen businesses transform their operations simply by:
Moving from paper to digital records
Implementing basic online booking
Centralizing customer information
Documenting their processes
These steps alone often deliver 80% of the benefits people hope to get from AI — at a fraction of the cost and complexity.
If you're wondering where your business stands and what specific steps would make the most difference for you, book a free 15-minute readiness assessment. We'll look at your current systems and identify the most important gaps to address before considering AI solutions.
Remember: AI isn't going anywhere. It's better to build your foundation correctly now than rush into implementing technology your business isn't ready to use effectively.
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March 31, 2025
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00:09
Local time in London, United Kingdom