At Disruptors Co, we work with governments, enterprises, startups, and scaleups to cut through complexity and unlock the real potential of artificial intelligence. That’s why OpenAI’s recent blueprint for enterprise AI success caught our attention – not just for its clarity, but because it aligns with what we already know: impact comes from doing, not theorising.

Here are the seven strategies OpenAI recommends – and how they translate into real action through “innovation on purpose.”

1. Start With Evals: Measure What Matters

Before you deploy AI, you need to know if it works for your context. Evaluations (or “evals”) aren’t a checkbox (though you may create a release checklist) – they’re a custom benchmarking process that validates accuracy, compliance, safety, and ROI. Make sure your enterprise AI roadmap starts with a solid set of hypotheses and use cases. Take the time to prioritise and plan out areas for experimentation (ideally low risk) and learn, iterate and evaluate as you go.

This is where our AI Discovery Sprint thrives: we co-design use cases and data audits so you’re not flying blind.

Output: A clear AI roadmap tailored to your strategic objectives.

2. Embed AI Into Your Products

Don’t think of AI as an add-on. Interrogate how it could enhance the core experience of your products. Whether you’re a SaaS scaleup personalising user flows or a government team streamlining service delivery, embedding AI directly into products unlocks new levels of relevance and responsiveness.

One great place to start is to look at your existing automations. Wherever you have a documented and repeatable process, you have the opportunity to transform with AI. Don’t just move data from one place to another – enrich it, analyse it, turn it into impact.

Our AI Innovation Labs rapidly prototype these integrations, turning ideas into testable solutions in under 8 weeks.

3. Start Now, Invest (and Learn) Early

It takes time to embed innovation in larger organisations. AI is moving very fast – vastly out iterating our capacity to absorb the changes. The sooner you invest, the sooner you benefit from compounding learnings. Early adopters aren’t just faster – they’re smarter, faster. They learn, iterate, and evolve while others are still writing discussion papers and business cases.

We find that disruptive innovation is resisted when the education and comfort gap between the current and future states are too far apart.

Through executive AI Showcases and capability uplift programs, we help leaders move from strategy decks to scalable pilots – fast.

4. Customise and Tune Your Models

This is where you start to get serious. You’ll know by now that generic models don’t cut it in enterprise. Fine-tuning is about aligning AI to your brand, your compliance needs, and your customer voice. Whether you’re a Visionary CMO or Strategic CRO, the results are tangible: better accuracy, faster time-to-value, and more trust.

This is the chance to build on your operational scale to generate benefits across your value chain. Iterate your models and projects, measure the benefits and impact and keep the cycles moving. But as with all things tech – make sure you have a ready roll-back plan.

We help design fine-tuning strategies backed by data science – not just DevOps.

5. Get AI in the Hands of Experts

This is true now and it will continue to be true into the future – your frontline experts know your processes best. They are close to your customers and partners. Instead of centralising all AI builds in IT, put the tools into the hands of the people closest to the problem. It’s faster, more accurate, and more empowering.

And better yet, with all the “vibes” – vibe coding, vibe sales, vibe marketing all improving at a rapid rate, it has never been easier to empower your business experts with the tools that can deliver close-to-immediate impact.

Our AI Capability Uplift programs are designed to do just that – train internal champions and support behavioural adoption across departments.

6. Unblock Your Developers (and Designers)

From idea to implementation, AI often stalls in engineering bottlenecks. We help remove those blockers with AI-assisted build environments and smarter delivery pipelines. As mentioned above, the Vibe Coding platforms like bolt.new, Lovable, Softr, Airtable, Bubble and (all the other platforms that capitalisation forgot) provide revolutionary improvements in prototyping and software development.

That’s not to mention the opportunity for your designers to step up in this space. From Canva to Figma, Microsoft Co-pilot and even ChatGPT, AI is providing a capability uplift that needs to be seen to be believed.

Our experience shows that developer velocity is one of the strongest predictors of AI ROI. We don’t just ideate – we operationalise.

7. Set Bold Automation Goals

Too many organisations automate the easy stuff and stop there. We challenge clients to go bigger. What would 10x productivity look like? What if your teams spent less time reporting and more time solving? What if you could take 70% out of your early stage project ramp-ups and invest that in reviews, insight analysis and customer experience?

Automate the mundane and let your fabulous humans excel in their own space.

From internal automation platforms to AI-enhanced GTM strategies, we help teams dream bigger – and then deliver.

Remember: Strategy Means Nothing Without Execution

AI isn’t magic. It’s a tool. It may be powerful but we need to remember that we have a duty of care to our businesses, customers, suppliers and employees. Like any tool, it only works if used with purpose. OpenAI’s strategies give enterprises a strong foundation – but turning ideas into outcomes? That’s where Disruptors Co steps in.

If you’re ready to stop theorising and start delivering, we’re here to help.