Case studies
How the work plays out.
One story from Malik's own career and two example scenarios. Tap a story to read it.
The first story comes from Malik's own career. The others are illustrative scenarios based on situations organizations commonly face, showing how we think and work.
From Malik's career: regulated product manufacturing, China and the U.S.
Standing up a feminine hygiene manufacturing facility in China for the American market
Malik played a pivotal role leading the team and operations behind a new facility in China built to make feminine hygiene products for U.S. consumers.
From Malik's career: regulated product manufacturing, China and the U.S.
Standing up a feminine hygiene manufacturing facility in China for the American market
Malik played a pivotal role leading the team and operations behind a new facility in China built to make feminine hygiene products for U.S. consumers.
- The situation
- A consumer products company set out to manufacture feminine hygiene products in China for sale in the United States. These are products used intimately by millions of women, so there is no room for quality shortcuts, and everything sold in the U.S. must meet American regulatory and retailer expectations.
- The challenge
- Building a facility from the ground up meant coordinating equipment, suppliers, quality systems and a new workforce across time zones, languages and two very different regulatory environments. The validation team had to prove that every machine and process performed consistently before production could begin.
- The question
- How do we build a facility that produces safe, consistent products from day one, and keeps doing so?
- The approach
- Malik led the team and its operations, treating the facility as one system of people, processes, equipment and quality. He set a clear operating rhythm across the U.S. and China teams, and made validation readiness a priority from the start rather than a final hurdle.
- The action
- Managed the cross-functional team and day-to-day operations through build-out and start-up.
- Brought the validation team up to speed on U.S. requirements, documentation standards and the reasons behind them.
- Built training for operators, supervisors and quality staff, so standard work and quality checks were understood, not just followed.
- Put daily and weekly operating reviews in place to surface issues early and close them quickly.
- Kept communication clear across languages and time zones, so decisions didn't stall.
- The result
- A trained, aligned team and a validation effort built to support production for the American market, with the operating discipline to keep quality consistent over time.
- The lesson
- Validation isn't paperwork at the end. It's proof that people, processes and machines are ready, and it starts with training.
Illustrative scenario: building materials distribution, Dubai
Growing across the region without drowning in inventory
A distributor importing building materials from China and selling across the Middle East had outgrown the way it planned, bought and stocked.
Illustrative scenario: building materials distribution, Dubai
Growing across the region without drowning in inventory
A distributor importing building materials from China and selling across the Middle East had outgrown the way it planned, bought and stocked.
- The situation
- Over a decade, the company had grown from the UAE into several Middle Eastern markets. It sourced tiles, sanitaryware, fittings and finishing materials from dozens of factories in China, held stock in a central Dubai warehouse, and supplied contractors, developers and retailers across the region.
- The challenge
- Sales were growing, but margins and cash were not keeping up. Best-selling products ran out while slow movers piled up in the warehouse. Sea freight lead times were long and unpredictable, quality problems were discovered only when containers arrived, and each country team placed its own orders.
- The question
- How do we keep growing across the region without tying up more and more cash in inventory?
- The approach
- We mapped the full journey from customer order back to the Chinese factory floor, then used Lean Six Sigma tools to find where lead-time variation and defects actually came from. We segmented the product range by sales volume and demand stability, so each product could be managed according to how it really sells.
- The action
- A single, regional demand plan replaced separate country orders, reviewed monthly by sales, purchasing and finance together.
- Supplier scorecards and pre-shipment inspections in China moved quality checks upstream, before goods were paid for and shipped.
- The supplier base was consolidated around the most reliable factories, with shipments combined to fill containers more efficiently.
- Stocking rules were set by product segment: always available for fast movers, made to order for slow movers.
- The result
- Engagements like this aim to free up working capital, improve availability of the products customers buy most, and cut the cost of quality problems found too late. Just as importantly, the company gains a planning rhythm that can absorb new markets without new chaos.
- The lesson
- Growth problems in distribution are often planning problems wearing a logistics costume.
Illustrative scenario: medical device manufacturing, AI adoption
Cutting the paperwork, not the quality
A mid-size medical device manufacturer wanted to use AI to ease the documentation load on its quality and operations teams, without putting compliance at risk.
Illustrative scenario: medical device manufacturing, AI adoption
Cutting the paperwork, not the quality
A mid-size medical device manufacturer wanted to use AI to ease the documentation load on its quality and operations teams, without putting compliance at risk.
- The situation
- The company was growing, and its quality, engineering and operations teams were spending hours each week on documentation: investigation write-ups, deviation summaries, meeting notes and training records. Some employees had started using AI tools on their own, each in a different way.
- The challenge
- Leadership could see the time savings, but worried about accuracy, data security and regulatory expectations. There were no shared rules, so some people avoided AI entirely while others used it without guardrails.
- The question
- How do we capture the time AI can save in a regulated environment, without creating new quality or compliance risk?
- The approach
- We started with the work, not the tools. We mapped where documentation time actually went, chose one workflow for a pilot, and set guardrails with quality and IT leaders first: which tools are approved, what information can and can't be entered, and a rule that a qualified person reviews and approves anything AI drafts before it enters the quality system.
- The action
- A leadership briefing on high-value uses of AI, the risks, and why human review stays in the loop.
- A four-week pilot using AI to draft first-pass investigation summaries, each reviewed and approved by qualified staff.
- Hands-on training for team members, built around their everyday tasks using non-sensitive examples.
- A simple prompt library, quick-reference guides and an AI playbook for the teams.
- Monthly check-ins to measure results and choose the next workflow to expand into.
- The result
- Engagements like this aim to save hours of drafting time each week, make documentation more consistent, and give leadership confidence that AI is being used safely and the same way across teams.
- The lesson
- In regulated work, AI adoption succeeds when the guardrails come first and people stay in the loop.
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