FAQs – KewMann
Most Popular Questions
We help you see the world differently, discover opportunities you may never have imagined and achieve results that bridge what is with what can be.
Human-centric AI means designing AI that works with people, not instead of them. Our solutions combine data analytics, behavioural science, and automation so that decisions remain aligned with human judgement and organisational goals.
Traditional AI predicts what might happen. KewMann’s approach goes further, we design interventions to influence what should happen. This bridges analytics with behavioural science, driving measurable impact on both customers and teams.
KewMann provides human-centric AI and agentic AI solutions across Asia-Pacific, with a strong focus on Southeast Asia and expanding to more global footprints, including markets such as Singapore, Malaysia, Hong Kong, Indonesia, Vietnam, Thailand, and more. Our solutions are scalable and compliant with local regulatory requirements, enabling us to support both single-country and cross-border deployments.
Agentic AI focuses on action and autonomy, AI systems that can plan, decide, and execute tasks proactively. Generative AI produces content (text, images, code), while Agentic AI uses that intelligence to act, coordinate, and deliver outcomes. At KewMann, we view Agentic AI as the next step in enterprise AI evolution, complementing rather than replacing Generative AI.
We apply behavioural science principles to ensure AI decisions respect human intent and context. Transparency, accountability, and fairness are built into every solution to align technology with human outcomes.
KewMann is a certified FinTech AI company under the Singapore FinTech Association and an AWS Glue Service Delivery Partner, among other recognitions.
Combine behavioural science + AI to predict and influence human behaviour.
Focus on regulated industries where compliance and trust matter.
Deliver measurable outcomes, not just insights.
Are built on a decade of enterprise experience across Southeast Asia.
Faster and more accurate decisions
Reduced operational costs
Increased revenue through better targeting and automation
Higher customer and employee satisfaction
Improved risk management and anomaly detection rates
Pilot results are often visible within 3–6 months, depending on data readiness and integration.
Full-scale enterprise deployment may take 9–18 months or more depending on project size, with continuous ROI measurement along the way.
We work with highly regulated and data-rich sectors:
Banking & Financial Services
Government & Public Sector
Insurance
Healthcare
Education
Discovery & Assessment – Understand your challenges, data, and workflows
Solution Design – Define AI models, data integration, and behavioural insights
Pilot Deployment – Test and validate results in real conditions
Scale & Optimise – Expand adoption and measure outcomes
Continuous Support – Monitor, refine, and enhance performance
You’ll need access to relevant datasets (transactional, behavioural, operational) and clarity on the workflows to optimise. If your data is fragmented, we help unify and clean it as part of the project.