How To Build An Actionable AI Strategy To Enhance Your Business
How do we transition from the continuous conversations around AI and its potentials, to constructing real actionable steps to creating a dependable engine for everyday use?
Ayman Ababneh, Open Medical’s General Manager in Saudi Arabia, shared his expertise at the recent ‘Intelligent Data, AI & Automation Summit 2025’ as guest speaker, held under the patronage of the Digital Government Authority.
“From Hype to Habit: Building an Actionable AI Strategy,” masterclass focused on a disciplined, sprint-based approach for AI, to identify high-impact use cases, deliver value fast, and embed ‘wins’ into routine operations and strategic decision-making.
Goals first, technology second
Ayman emphasised the significant benefits of AI tools to accelerate the achievement of clearly defined organisational goals, to deliver better and efficient strategic outcomes.
“Too many initiatives begin with technology and only later look for a problem. I advocate the reverse: define measurable goals, such as reducing administrative burden, improving access, enhancing safety, accelerating pathways, and elevating the patient experience. Let those aims guide use-case selection. This outcomes-first stance keeps efforts grounded and sets clear definitions of success from day one.”
Ambition into action: Using the ‘sprint-based delivery’
The adoption of ‘sprint-based delivery’ for AI strategic delivery in organisations is what Ayman describes as the best way to iterate strategies, based on real-world feedback, for teams to scope and validate promptly.
“Each sprint follows a repeatable rhythm: use data to pinpoint the problem, design a targeted intervention, integrate it into everyday workflows with minimal friction, measure impact rigorously, and refine. The effect creates momentum: small, frequent wins that build confidence, inform the next sprint, and convert AI from a one-off project into a sustained habit.”
The implementation of AI tools should not only be a ‘hyped’ bandwagon, rather, a long term approach to iterate and optimise its uses in the best way for each organisation’s goals.
Workflows to fit your flow
“Workflow-native design and thoughtful change enablement are as important as algorithms: co-design with end users in mind.”
It is essential when adopting artificial intelligence to seamlessly integrate with current systems, workflows and ways of working for the end users. Having the user interface and user experience at the forefront, will empower teams to be more open to changes, for the better.
For instance, Ensiab’s digital workflow management platform is agnostic to any specialty, to seamlessly integrate with EPR systems to enhance and streamline patient flow, delivering efficient, patient-centered healthcare. This key combination for the digital workflow to operate side by side with hospital EPRs empowers healthcare teams with the best tools to enhance clinical decisions and offer a scalable, sustainable solution.
“Platforms like Ensiab bring these principles to life. By providing secure integration, interoperability with existing clinical systems and a governed orchestration layer for data and AI, Ensiab helps organisations move faster without compromising safety or oversight. It embeds intelligence into day-to-day tasks and measures real-world impact across pathways, closing the loop between insight and action and making continuous improvement the norm.”
Intelligence with integrity: Creating safe measures for AI
It is paramount to have governance of AI, not only as a matter of compliance, but as a foundation for business integrity, patient and data safety and creating a transparent and accountable framework. This creates AI from an undefined grey area, into a dependable clinical and operational asset.
“Equally, governance must be present from the outset. Safety, security, consent, and auditability cannot be retrofits; they are foundational to responsible scaling and long-term credibility.”
Ayman directly advises leaders and decision-makers with key, actionable advice: “For leaders seeking to escape pilot purgatory, the guidance is consistent: start small but start now; tie every initiative to clear KPIs; pair domain experts with data and engineering talent; standardise delivery and governance patterns; and measure relentlessly. With this cadence, AI stops being a buzzword and becomes a habit: the quiet, dependable backbone behind better decisions, smoother operations, and tangible improvements for patients and teams.”
Building the future of a digitised world
“AI’s promise lies not in sporadic breakthroughs but in dependable, repeatable delivery. With an outcomes-first mindset, sprint-based execution, and the right operational scaffolding, AI can move beyond hype and into the fabric of everyday work- where it belongs.”
