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AI That Works On Demand: Episode 1

Episode 1

19 Feb 2026

5 min read

AI adoption is accelerating but if not done with care, so are the risks. Shadow AI, unmanaged tools, and compliance gaps can put your business at risk.

In this first session, we shared the key steps to start safely.

Watch the recording below, you’ll learn:

  • The key questions to ask before choosing any AI tool, so you pick the right one safely and confidently.
  • How to bring the right people into the conversation early to speed up adoption and avoid roadblocks.
  • Simple, secure ways to weave AI into your existing processes, without big budgets or disruption.

Episode 1 – Getting Started with AI: How to Start Safely and Smartly

Key Takeaways: AI That Works – Episode One – Safe & Secure AI Adoption

Episode One of the AI That Works webinar series focused on cutting through the hype and helping organisations adopt AI safely, securely and in ways that genuinely improve productivity.

Start With the Right Questions

Before you touch any technology, model, or vendor, five essential questions determine whether AI will deliver value—or cause problems:

1. What problem are you actually trying to solve?

Most organisations jump to tools before diagnosing the root issue.
Be specific, measurable and practical:

  • What is slowing your team down?
  • Where is the bottleneck?
  • Which process costs time or money today?
  • Without clarity, AI becomes noise rather than impact.
2. Where does your data go?

With the explosion of AI services, data residency and governance matter more than ever.
You must know:

  • Where data is stored
  • Where it is processed
  • Whether it trains someone else’s model

If a vendor can’t answer this directly, it’s a red flag.

3. How will AI integrate with what you already use?

Adoption fails when AI sits on the side, requiring users to open “one more tool”.
Successful AI must be:

  • Embedded into existing workflows
  • Accessible where people already work
  • Supported by APIs or connectors
  • Designed with user behaviour in mind
4. How stable is the vendor?

AI is full of exciting start-ups, but not all will survive.
If the solution is business- critical, you need:

  • A roadmap
  • Guaranteed availability
  • Support longevity
  • Proper due diligence
5. What will it cost to run?

AI isn’t just a project cost, it’s an operational cost.
Consumption based workloads mean every query has a price.
A strong business case includes:

  • Implementation cost
  • Ongoing cost per run/use
  • ROI vs. existing process cost

If you don’t model this early, surprises hit later.

Expert View

If you can’t be specific about what the problem is, there’s absolutely no chance of hitting the answer.

Fraser Dear, Head of AI and Data Innovation

Get the Right People in the Room Early

AI is not “an IT project”. It touches every area of the organisation, so you need representatives from these four functions from day one:

  1. IT & Security: To ensure infrastructure, authentication, and data controls are in place.
  2. People / HR / End Users: To understand real pain points, change impact and adoption needs.
  3. Finance: To validate budgets, model ROI and avoid roadblocks later.
  4. Legal & Compliance: To assess data protection, ethics, and regulatory considerations.

Skipping any of these stakeholders is the fastest path to stalled projects.

Address Shadow AI Before It Becomes a Risk

Employees are already using AI, often without guidance or security.
Examples include:

  • Free online chatbots
  • Document summarisation tools
  • Consumer-grade SaaS services
  • Personal productivity apps

This creates risk: sensitive data can leave your tenant without anyone knowing.

The solution is not to block, but to provide:

  • Secure, enterprise AI tools (e.g., Copilot Chat)
  • Clear policies
  • Training on safe usage
  • Internal champions

If you make the safe route the easy route, people naturally follow it.

Read more on Shadow AI

Start Small, Secure and High-Impact

Expectations for AI are huge, but the best programmes begin with a single, tightly scoped use case such as:

  • Meeting notes and call summaries
  • Document restructuring or summarisation
  • Admin-heavy repetitive tasks
  • Process steps that “always take hours”

A successful first use case builds confidence, reduces fear and demonstrates real value.

What matters is:

  • Low disruption
  • Clear time savings
  • Visible output
  • Easy scalability

This creates momentum and opens the door for broader adoption.

Keep Security at the Centre

Protecting your organisation from cyber threats is more in important than ever. Secure AI adoption as four non-negotiables:

  • Enterprise authentication
  • Audit logs to see who did what
  • Clear data usage & residency policies
  • The ability to turn the tool off if required

If you meet these four criteria, you can innovate confidently.

Next Steps

If these takeaways sparked ideas about what AI could unlock in your organisation, we’d love to help you take the next step. Explore our wider range of AI services, from secure Microsoft Copilot enablement to process automation, custom AI agents and full data-readiness programmes. Wherever you are on your journey, our team can help you adopt AI safely, confidently and at a pace that works for your business. Discover what’s possible with BCN’s AI services.