What we have designed and built: the problem, and the solution we delivered.
Design knowledge was scattered across systems, slowing R&D, and routine repair-booking questions were answered by hand.
We designed two governed AI agents: a product-design agent that searches design and repair records, and a help-desk agent connected to the CRM, each with human sign-off and a staged rollout.
A high-volume repair-booking agent needed a language model that stays affordable at scale.
We compared six leading AI models on real customer questions at scale and picked the one that keeps the agent fast and affordable.
A help-desk agent connected to the CRM had to go live safely under Singapore, EU and US rules.
We put security controls, a governance plan aligned to the EU AI Act, PDPA, GDPR and ISO/IEC 42001, a kill switch and audit logs in place before go-live.
A lender needed to spot which loans were likely to default, from imbalanced historical data.
We cleaned and rebalanced the lending data, engineered the key risk features and built a machine-learning model that flags likely defaults.
A subscription book-rental business was losing customers who could not find books they liked.
We built a recommendation engine that suggests books each customer is likely to enjoy, based on what similar readers chose.
Monitoring a deteriorating river was manual and too slow to guide decisions.
We mapped the causes and designed an automated drone and AI-camera monitoring and reporting system, with a business case and roadmap.
Bring the problem that hurts most. Leave with your top AI use cases and a practical next step.
Talk to us about your problem