By Dhosjan Greenaway-Dalini

Everyone is using AI. Most of it is not working the way they expected.

Not because the tools are wrong. Not because the teams are not smart enough. But because the question most people are still asking: “How do I write a better prompt?” is the wrong question entirely.

Welcome to the May edition of the Finance Tech AI newsletter. This month, we want to introduce a shift that we believe is the most important evolution happening in AI right now.

Not a new tool. Not a new model. A different way of thinking: Context Engineering.

If you are building or leading a business in 2026, this single concept changes how you should be thinking about every AI initiative in your organisation.

In today’s newsletter:

• Context Engineering: The Shift You Haven't Made Yet

• In case You Missed It

• The Dhosjan Show Podcast

• On the Horizon

🤖Context Engineering: The Shift You Haven't Made Yet

Let me introduce a term that is rapidly replacing one you probably already know.

Prompt engineering refers to the skill of writing the perfect instruction to get the best response from an AI model. It has dominated the conversation since 2023. Entire job titles were built around it. Courses were sold. Playbooks were all the rage.

But we are now in a new era. One that finally aligns with how businesses actually operate. The era of Context Engineering. As a finance and business leader, I see this as far more important and far more consequential.

• Prompt engineering focusses on a singular type of output. Often a one-time instruction you type into a Gen-AI tool.

• Context engineering is about designing and maintaining the entire information ecosystem the model operates within: the data it can access, the parameters it works within, the history it can reference, and the constraints it must respect.

A well-crafted prompt in a poorly engineered context will still fail. A basic prompt in a well-engineered context often succeeds. That exact gap is where most businesses are losing.

These are technical disciplines. What follows is our take on what they mean for business and finance leaders operating in the real world.

📉Why this matters for founders and finance leaders specifically:

Think about what "context" actually means in a high-stakes finance setting. It is not just the question you ask the AI tool. It is:

• The quality and completeness of your underlying financial data

• The parameters you have set around what the model can and cannot touch

• The historical patterns, benchmarks, and business logic baked into your systems

• The governance framework that defines who can override what, and when

If your AI is operating on incomplete, inconsistent, or ungoverned data -  if the "context" it is working within is messy, then the sophistication of your prompt is irrelevant. You will get confident-looking fiction.

I love the breakneck innovation in AI technology, but I am still wary of business leaders acting on AI outputs without realising why they are wrong, or that they are wrong at all.

I was experimenting on a use case with Claude recently and was genuinely impressed by the speed at which it created executive dashboards. Then, I spotted a metric that did not make sense. It didn’t fit the business nuance.

Over twenty years of finance and commercial experience has taught me to feel the numbers. What I had in front of me with that example was beautiful nonsense.

It looked pristine, but it was structurally flawed. This directly reinforces a comment from last month’s newsletter about scenario planning on dirty data. Context engineering is the infrastructure layer that prevents exactly that.

The businesses winning with AI in 2026 do not have better models. They have better context. And that context is driven by the AI + Human partnership.

🧠What This Requires of Leaders

One of our key takeaways from Accountex London in May, was around the future of AI in business: AI accelerates the workflow, but humans decide, govern, and own the accountability. The highest-value leaders are not just doing the work any more, they are designing the decision frameworks.

In practice, this requires the courage to break down your entire business model and operations from the bottom up.

Remember: all roads lead to money. As a finance and commercial leader, I think in terms of the full customer workflow, from zero clients to cash in the bank.

• What is driving each step?

• What can we influence?

• What makes the offering special?

• Where are the supply chain and competitor risks?

• Where are cash, time, and efficiency leaking?

Until you deeply understand that context, your AI implementations are at high risk of low ROI, or outright failure.

Think of it another way: You hire a new team member. They are smart, experienced, and capable. But they do not know your company, your nuances, or the way you do business. Setting them up for success is not just about outlining a task and handing over resources. It is about sharing the specific institutional context that shapes how you operate.

AI in practice is exactly the same.

⚖️ Translating Intelligence Into Impact

Context engineering is really about having the courage to examine your business operations honestly, and reconfigure them from the bottom up if necessary. With or without AI.

Our Fractional CFO and COO work at Bia Innovate requires fluency in finance systems, AI tools, and data architecture. But it equally requires the unique ability to translate complex financial intelligence into clear commercial decisions, to communicate effectively across boardrooms and founding teams, and to consider the human consequences of every operational choice.

This is not incidental to the work. It is the work. Making AI genuinely useful in business, meaning commercially impactful and ethically grounded, not just technically functional, requires exactly this profile. At Bia Innovate, this is what we bring to every engagement.

If you are reading this and thinking, "I am not sure our context is as strong as it needs to be," that is exactly the conversation we have on a regular basis. If you want to pressure-test your AI readiness, your data infrastructure, or your operating model before your next major implementation, let's connect. That diagnostic work is where the real value starts.

📩 Book a strategic discovery call directly at biainnovate.com.

In case You Missed It

🚀 Upskill with Bia Innovate App! - We’re Live! 

Our beta users are on the app! We're bridging the resource gap for early-stage founders. Our new AI-powered app helps you master business fundamentals on your own terms. We move you from guessing to execution, building the solid foundation you need today so you can scale with dedicated experts tomorrow.

The Dhosjan Show Podcast

Don’t forget to catch-up on The Dhosjan Show!

We dive into Finance, Technology, and AI with an emphasis on the human at the heart of innovation. Whether you need business basics, founder stories, or practical tips, we’ve got you covered.

👉🏾 Don’t miss an episode. 🎧📺

On the Horizon

• Book Dhosjan for Speaking Engagements in 2026: Workshops & Keynotes

  Are you looking for a speaker or workshop facilitator who can bridge the gap between complex technology and practical business growth? Some of our favourite topics include: The Modern CFO & Evolution of Finance Operations, The CFO Techstack, AI with Intent: Real-world use cases for Business and Finance, The Startup Growth Journey, Authentic Leadership, Women in Finance and Women in Tech.

  If you’re planning an event or team training, send us a message to discuss how we can work together to inspire and upskill your audience. 📩

• 2026 Strategy Audits: Moving from Vision to Execution

  Is your finance function acting as a back-office support unit or a business-critical growth driver? Many teams have a strategy, but many lack the capacity to operationalise it.

  At Bia Innovate, we don’t just hand over a plan and walk away. We work with you to build the roadmap and then help you execute it, ensuring your finance operations, tech stack, and AI initiatives actually deliver commercial results. I am now booking Q2 discovery calls for hands-on Fractional CFO advisory and execution support.

  📩 Send us a message to lock in your spot and let's turn your 2026 strategy into reality.

In Summary

This month, I leave you with these key takeaways.

The prompt was never the point: Stop optimising your instructions and start engineering your context: the data, the parameters, the governance, the business logic. 

• Dirty context produces confident-looking fiction: AI output is only as trustworthy as the information ecosystem around it. Put checks in place to verify. 

• All roads lead to money - map the whole journey first: Until you understand your full workflow, from zero clients to cash in the bank, your AI implementations are building on unstable ground.

• The highest-value leaders are designing decision frameworks, not just doing the work: AI accelerates the workflow. Humans decide, govern, and remain accountable. 

👉🏾 Next Step: Ready for hands-on strategic guidance and execution support? Reach out to us at Bia Innovate to learn how we can support you in your 2026 growth journey!

Who We Are

Bia Innovate is a Fractional CFO and Startup Consultancy. We provide hands-on support to founders, finance and business leaders to turn strategy into action, finance into growth levers, systems into scalability, and AI integration into impact.

👉🏾 If you’re curious, stuck, or ready to explore your growth strategy with us, get in touch.

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