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Curiosity: The Currency of Relevance

Charlotte Bailey Chief Executive Officer
Publish date: 10th July 2025

The Problem: AI Still Feels Out of Reach for Most SMEs

Artificial Intelligence is everywhere – from boardroom strategy decks to product roadmaps. But for many small and mid-sized businesses, it still feels distant, overhyped, or just plain inaccessible.

Why? Because AI is often framed through the lens of big tech: multi-million-pound R&D budgets, teams of PhDs, and complex machine learning models that live behind closed doors. If you don’t have a data science team or a mature data strategy, the assumption is that AI isn’t for you.

Meanwhile, your team is juggling spreadsheets, dashboards, and KPIs just to stay afloat. Introducing AI can feel like a distraction – or a luxury.

But that perception is not only outdated – it’s holding businesses back. Because the reality is, AI and ML have evolved. And so have the platforms that support them.

The Solution: AI That Works for Real-World Teams

At Panintelligence, we believe AI should be practical, transparent, and usable - not locked behind code or complexity.

That’s why we’ve embedded AI and machine learning capabilities directly into the Panintelligence platform - making it possible for SMEs to apply predictive analytics and AI-generated insight without needing to hire a data scientist or write a single line of code.

Our ML engine, PiPredicts, and our AI assistant work hand-in-hand to help users forecast, understand, and act - all from inside the same dashboards they already use.

Here’s how we’ve made AI accessible:

  • No technical expertise required
    If you can build a chart, you can apply a machine learning model. PiPredicts offers guided, point-and-click workflows for training models, running predictions, and visualising outcomes.
  • AI-generated insight, explained in plain English
    Our AI assistant interprets complex outputs and explains what’s happening, why it matters, and what action to consider - removing the guesswork.
  • Embedded in your reporting stack
    There’s no switching tools, exporting files, or waiting for analysts. Predictive analytics is part of your dashboard experience - fully governed and fully auditable.
  • Secure and compliant by design
    Role-based access, audit trails, and deployment flexibility mean AI is delivered safely and at scale - whether you host on-premise or in the cloud.

The Business Impact: From Reactive to Proactive

Predictive analytics helps SMEs move from hindsight to foresight. It empowers teams to anticipate problems, seize opportunities, and allocate resources more effectively.

Our customers are already using these capabilities to:

  • Identify and prevent customer churn
  • Forecast demand and reduce stockouts
  • Pinpoint the drivers of commercial performance
  • Understand the impact of variables like region, product type, or seasonality

And they’re seeing real results:
20–30% reductions in manual analysis time, improved planning cycles, and better outcomes - all without increasing headcount.

AI is No Longer the Future - It’s Your Present Advantage

For too long, AI has been seen as the preserve of enterprises with teams of experts and bottomless budgets. But that’s no longer the case.

Topics in this post: 
Charlotte Bailey, Chief Executive Officer Results-driven, customer-focused, and technologically savvy, Charlotte Bailey is Panintelligence's energetic CEO. Charlotte is a senior change-maker with a keen understanding of analytics and big data, with over a decade of Customer Success, Development, and Product Management experience. By analysing situations and examining problems in granular detail, she provides fresh perspectives while harnessing new technology. Her purpose is to provide clear strategic leadership and collaboration with customers to develop, transform and simplify operations and technology to deliver measurable benefits - and getting to play with cool toys along the way! View all posts by Charlotte Bailey
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