Client Voices
What our clients
have found
Feedback from Singapore organisations across different sectors who have participated in our programmes.
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In their own words
Our senior team had been hesitant about AI for a while — not opposed, just genuinely unsure where to begin. The leadership programme created space for that uncertainty to exist without being rushed. After three sessions, we had a shared vocabulary and actual questions we could take to our board. That was valuable.
We put around 30 employees through the self-paced environment across two months. Uptake was better than I expected — I think because there was no pressure around completion speed. A few people who I expected to struggle ended up being among the most engaged. The optional coaching sessions were well-used.
What I appreciated most was that Lepak Stream was willing to tell us when something wasn't quite right before pressing forward. During the prototyping phase of our implementation, they came back to us to suggest a different approach because the original design wasn't sitting well with our team. That kind of candour is rare.
The healthcare context is a sensitive one for AI — our staff had legitimate concerns about how AI tools would interact with patient information. The Lepak Stream team addressed those concerns directly, with specific examples and references to PDPA requirements. That grounding made a real difference to the reception of the programme.
As a founder in the education space, I've seen a lot of AI hype directed at schools and institutions. What Lepak Stream offered was notably different — they were straightforward about limitations alongside capabilities, and they didn't try to pitch us toward the most expensive option. We started with the leadership programme and that was the right call for our stage.
The implementation partnership took longer than some faster alternatives might have, but the end result is a knowledge management system that our team actually uses. Previous attempts at AI integration had stalled because people didn't trust the outputs. This time, the extended user testing phase genuinely changed how people felt about the tool before launch.
Case Studies
Three engagement journeys
A professional services firm navigating the question of AI adoption
Financial Advisory · 85 employees · Leader Introduction → Implementation Partnership
Challenge
The senior leadership team was receiving increasing pressure from clients and peers to "do something with AI," but lacked internal confidence to evaluate what that should mean in practice. Concerns ranged from client data handling to staff displacement anxiety.
Approach
Began with the leadership orientation programme to establish a shared frame of reference. Three months later, the same firm engaged for the implementation partnership, starting with knowledge management for internal research processes.
Outcomes
Research synthesis time reduced by approximately 40% for affected staff. Strong adoption rate at six-month mark. Leadership team now actively engaged in further scoping of additional AI-supported workflows.
A logistics operator building workforce AI capability across shifts
Logistics & Distribution · 200+ employees · Learning Environment
Challenge
Shift-based workforce with highly variable schedules made synchronous training impractical. Previous attempts at online learning had seen low completion. Management wanted to develop AI literacy without creating additional scheduling pressure.
Approach
Self-paced learning environment with a 12-week window and no minimum weekly commitment. Weekly coaching sessions scheduled at two different times to accommodate shift patterns. Manager access limited to aggregate completion data only.
Outcomes
74% completion rate — the highest of any training initiative in three years. Voluntary engagement with coaching sessions consistently above expectations. Subsequent internal survey showed 68% of participants felt more confident discussing AI at work.
A healthcare administrator introducing AI-supported documentation
Healthcare Administration · 60 employees · Implementation Partnership
Challenge
High volume of routine documentation across care administration processes. Staff reluctant to introduce AI tools following industry concerns about patient data handling. Regulatory context required careful consideration throughout.
Approach
Extended discovery phase to fully map data flows and identify compliant automation opportunities. Staff included in design discussions from week two. Prototype deliberately narrow in scope to build early trust. PDPA considerations embedded into every process decision.
Outcomes
Documentation processing time for targeted workflows reduced by 35%. Staff trust in the system high at stabilisation review. Rollout extended to a second documentation category six weeks post-deployment based on team's own initiative.
Our Credentials
Professional standing
Aligned digital literacy standards across all learning content
All data handling structured per Singapore's data protection requirements
Listed provider under Singapore's workplace learning framework
2023 nomination — Fast Moving Companies Singapore
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