Real results,
not slide decks.

Their teams were spending thousands of hours annually on repetitive data processing, report formatting, and quality checks — eating into margins and slowing client delivery. Competitors were beginning to offer AI-enhanced research, and the company risked falling behind.

We ran a dual-track approach. The efficiency track automated data ingestion, cleaning, categorisation, and QA. The innovation track built new AI-powered research capabilities — advanced sentiment analysis, predictive trend modelling, and automated insight generation — offered to their clients as premium services.

Internal research analysts and operations teams who needed faster, more reliable workflows. Their own clients — global brands expecting faster turnaround and deeper insights.

Data sovereignty across multiple jurisdictions. Integration with legacy systems that couldn't be replaced overnight. Every solution had to meet the rigorous methodological standards of professional market research.

Legacy SaaS tools were expensive, inflexible, and not designed for fit-out site management. Multiple off-the-shelf solutions had been tried. None understood the specific workflows, compliance requirements, and on-site realities of construction fit-out projects.

We mapped their real workflows — not the idealised version — and built a custom Project Manager platform from scratch. Purpose-built for construction fit-out: project tracking, subcontractor coordination, document management, snagging workflows, client reporting. All accessible on mobile from site.

Site managers running multiple active projects, coordinating subcontractors, tracking deliveries, managing snagging lists — often from a phone on a building site with patchy signal.

Had to work reliably on mobile in low-connectivity environments. Intuitive enough for immediate adoption without training. Had to handle compliance and documentation requirements without adding admin burden.

Finding the right care services is one of the most stressful decisions families face. Existing directories offered little more than basic listings — no intelligent matching, no personalisation, no support for users who were emotionally stretched and time-poor.

We built an AI-powered care directory with a voice assistant at its core. Users speak naturally about what they need, and the AI matches and recommends relevant care providers. Built using AIBO, enabling rapid iteration with care-sector reliability.

Families searching for care for a loved one — often in urgent, emotionally charged circumstances. Secondary users are care providers needing a modern platform to reach the right families.

Trust is everything in this sector. The AI had to be accurate, transparent, and never feel like it was selling. Many users are elderly or not digitally confident, so the voice interface had to be genuinely intuitive. Data handling had to meet healthcare-adjacent standards.

Legacy systems and manual workflows hadn't evolved with the business. Appointment scheduling was inefficient, clinical record-keeping inconsistent across sites, stock management reactive. Revenue was leaking through unbilled treatments, missed follow-ups, and pricing inconsistencies.

We audited operational workflows, financial processes, and clinical pathways across all sites. Then built AI-powered tools: end-to-end workflow automation, revenue protection systems that flag unbilled treatments and pricing inconsistencies, and a unified dashboard for real-time group-wide visibility.

Vets, nurses, and practice managers across multiple sites with varying technical confidence and very little time between consultations. Practice owners and finance teams needed clear visibility into revenue and performance.

Veterinary clinical systems are complex and highly regulated. Integration with existing practice management software was essential — rip-and-replace wasn't viable. Adoption had to be near-frictionless for time-pressured clinical staff across sites with different setups.