Rachel has built her career at the intersection of technology, people, and performance, leading teams across government, tech, and business services in New Zealand.

She has led cross-functional teams of engineers, specialists, business analysts and developers, designed capability frameworks, coached leaders at every level, and driven organisation-wide delivery programmes.

From frontline customer experience to engineering leadership, her focus has always been the same: build great teams, drive real outcomes, and make technology work for people, not the other way around.

Nayim leads the creative direction of Co-Intell Studio, ensuring that design, video, and learning solutions deliver real business impact.

His work focuses on transforming complex ideas into clear, engaging visual and learning experiences that help organisations communicate, train, and scale effectively.

With a strong focus on the full development lifecycle — from analysis and design through to development, implementation, and evaluation — he ensures that every project combines creative quality with measurable outcomes.

Working at the intersection of creative strategy, AI-enabled production, and learning design, Nayim provides the strategic oversight that connects creative execution with business goals, ensuring everything produced through Co-Intell Studio is purposeful, scalable, and aligned with client success.

Luisina brings a rigorous, detail-oriented accounting lens to the world of AI.

Having managed the financial heartbeat of diverse organisations across Argentina and New Zealand — from industrial commercial firms to the Not-for-Profit sector — she ensures that AI adoption is as fiscally responsible as it is innovative.

Her focus is simple: bridging the gap between technical progress and structural integrity.

Luisina helps businesses navigate the complexities of treasury, cashflow, and internal operations while ensuring AI tools are secure, productive, and aligned with the bottom line.

Deepa brings strong technical depth across backend engineering, distributed systems, cloud infrastructure, and automation.

She designs and delivers production-grade platforms that emphasise performance, observability, and long-term maintainability.

Her work spans API design, data pipelines, orchestration layers, and AI-enabled services, always grounded in clean architecture and engineering discipline with a focus on clarity, collaboration, and sustainable delivery.

Her leadership style blends technical depth with coaching, enabling teams to move confidently from concept to production.

She partners closely with cross-functional teams to translate complex requirements into systems that are robust, testable, and ready for scale, ensuring Co-Intell’s solutions stand up in real-world environments.