What Our Clients Say

Real outcomes from Hong Kong organizations that trusted Newstepille to improve their operations.

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Client Testimonials

Feedback from facilities managers, compliance teams, and executives who've worked with Newstepille.

"Our facility energy costs dropped 24% within four months of implementing Newstepille's AI system. The team was responsive to our questions and the integration with our existing systems was smooth."

Rebecca Wong

Facilities Manager, Central Property Group

March 2026

"The entity recognition platform cut our contract review time in half. Instead of manual extraction, the system flags key terms and amounts automatically. Accuracy has been excellent."

Marcus Toh

Compliance Officer, Financial Services Firm

February 2026

"The executive workshop clarified what AI can actually do versus the hype we see in the media. Really helpful for evaluating vendor proposals on our own terms now."

Susan Lim

Chief Financial Officer, Real Estate Developer

January 2026

"Working with Newstepille felt like a partnership, not a vendor relationship. They were honest about data readiness and didn't oversell. That level of integrity is rare."

James Chen

Operations Director, Energy Utilities

February 2026

"Post-implementation support from Newstepille has been excellent. When we had questions about model performance, they were quick to investigate and explain."

Natalie Kim

Head of Administration, Healthcare Group

March 2026

"The staff training was comprehensive. Our team felt confident managing the energy system after the handoff. We didn't need new technical hires."

David Poon

Engineering Manager, Property Management Firm

January 2026

Success Stories

Energy Optimization Across Multiple Facilities

CLIENT

Major Hong Kong property management company operating 15 residential and commercial towers

CHALLENGE

Rising energy costs, inconsistent optimization across facilities, difficulty forecasting demand

TIMELINE

8 weeks total; phased rollout across 5 towers initially

Solution

Newstepille deployed an AI system integrated with the company's building management systems and historical consumption data. Models were trained separately for each facility type to account for different usage patterns. Real-time dashboards provided facility managers with actionable insights about optimization opportunities.

Staff training ensured the team could monitor models, interpret results, and make operational adjustments independently. Monthly performance reviews helped refine recommendations over time.

Results

26%

Energy cost reduction in first year

~HKD 2.8M

Annual savings across portfolio

85%

Reduction in manual review time

Accelerated Contract Processing for Compliance

CLIENT

Financial services firm processing hundreds of vendor and client contracts annually

CHALLENGE

Manual extraction of key terms was time-consuming, error-prone, and created compliance risk

TIMELINE

5 weeks; phased with pilot group first

Solution

The entity recognition platform was trained on the firm's contract templates and compliance requirements. The system learned to identify party names, payment terms, renewal clauses, liability caps, and regulatory exemptions.

Integration with the firm's document management workflow meant extracted data populated directly into their contracts database. Confidence scores helped flag uncertain extractions for manual review.

Results

62%

Reduction in review time per contract

98%+

Accuracy on key term extraction

Missed compliance flags (8 months)

Strategic AI Readiness for Board-Level Decision Making

CLIENT

Board of directors for a real estate development company considering AI investments

CHALLENGE

Limited technical background; vendor claims seemed contradictory; uncertain how to evaluate ROI proposals

TIMELINE

Half-day workshop; materials and framework afterward

Solution

Newstepille delivered a customized executive briefing covering how AI systems work at a conceptual level, where they reliably add value (with real estate examples), and where vendor claims should be questioned.

The session included a vendor proposal evaluation exercise, discussion of governance and data privacy frameworks, and a practical decision-making checklist adapted to the firm's specific business model.

Outcomes

Board members gained confidence in evaluating AI proposals independently. They approved a three-year AI investment strategy focused on realistic use cases rather than speculative technologies.

Within six months, the company had engaged Newstepille to implement an energy management system, confident in the approach and realistic about expected outcomes.

Why Clients Trust Newstepille

95%

Client Retention

Clients return for additional projects and refer colleagues

40+

Projects Delivered

Across energy, compliance, and executive development

HKD 18M+

Client Savings

Energy cost reduction and operational efficiency gains

15+

Years Experience

ML expertise across Hong Kong enterprises

Ready to Become a Success Story?

See how Newstepille can help your organization achieve measurable outcomes with practical AI solutions.

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