This is what it looks like when AI actually works inside a company
Three enterprise engagements. Measured results, documented methodology, real numbers. Healthcare, FMCG, and a Saudi Arabian conglomerate: each one different, each one with outcomes we can show you in full.
220 staff trained. 7.2 hours saved per employee per week. 89% adoption in 4 weeks.
Administrative and operations teams across Medical Records, Finance, HR, Procurement, and Patient Services. 2-day workshop + 4-week follow-up. Every participant left Day 2 with 2+ AI workflows running in their own accounts.
Same team. 340% more content. Campaign briefs 77% faster. Zero new hires.
Marketing, digital, content, and brand teams trained on Claude, ChatGPT, Perplexity, and Canva AI. A 40+ prompt library built to L'Oréal Pakistan's brand voice. First fully AI-assisted campaign launched 3 weeks post-training.
AI stack live in 14 days. 4,200 tasks automated per month. $180K estimated annual savings.
Six enterprise AI tools deployed, seven custom automation workflows built across Operations, Finance, HR, Procurement, Sales, and Customer Service. Finance reporting cycle cut 70%. CV screening 3× faster. Stack paid back in under 90 days.
Your company is next. What does your challenge look like?
Every engagement starts with understanding your specific workflows: not a generic pitch. Book a 30-minute discovery call and we'll tell you exactly what AI can do for your context.
How we work
Enterprise AI implementation is not a training event.
It is a deployment project.
Most AI consulting engagements end with a slide deck and a list of tools. Ours end with AI running inside your actual workflows: measurable, adopted, and generating ROI. The difference is methodology. Every Densight Labs engagement follows the ADAPT Framework: Assess, Diagnose, Align, Pilot, Track.
We begin by auditing your current workflows to identify where AI can eliminate real friction: not where it sounds impressive. At Aga Khan University Hospital, that meant mapping 5 departments before a single training session began. At L'Oréal Pakistan, it meant understanding the exact steps in a campaign brief cycle before building a prompt library. At Al Yousif Group, it meant documenting 14 repetitive processes across 6 business units before selecting a single automation tool.
The Pilot phase is where most engagements are won or lost. We guarantee AI live in production within 30 days: not in a sandbox, not in a pilot environment, but in the tools your team uses every day. If we don't hit that, you don't pay. That guarantee forces us to select tools that actually fit, build automations that actually run, and train people on workflows that actually matter.
The Track phase is what separates implementation from adoption. We measure usage, identify drop-off points, and optimise over the first 30 days post-deployment. The 89% adoption rate at Aga Khan and the 91% satisfaction score at L'Oréal are not flukes: they are the result of follow-up that most consultancies skip.
Explore further