Triple Point is a productive capital partner that brings investment ideas to life and connects productive capital with the right people and opportunities. It’s approach delivers success across several business areas: Private Credit, Clean Heat, Energy Transition, Social Housing, Venture and Advisor Solutions.
Triple Point had a SaaS tool in place for gathering employee recognition
nominations plus a manual process for gathering peer (360 degree) feedback. The manual 360 degree feedback process involved managers sending 20-30 emails twice a year to gather peer feedback on their employees. The process was clunky, time consuming, and produced inconsistent results. So they worked with Kowalah to streamline the approach and build a replacement on AI.
What we built together: a feedback tool which combined both feedback approaches, where employees can speak or type their responses, guided by company values. It routes feedback to the right managers and turns raw responses into insights leadership can act on. Users called it a massive uplift. The HR team is now planning Phase 2.
In this Spotlight, we’re joined by Shelley Davison from Triple Point’s People team — who was at the centre of the build, working with Kowalah from initial scoping through go-live and the first full feedback cycle.
Shelley will walk through how they approached it, what surprised them, and what comes next for Triple Point’s AI roadmap.
What you’ll learn:
- How Triple Point and Kowalah approached the build-vs-buy decision, and
what tipped it - The 6-week build: how Triple Point and Kowalah went from discovery to go-live
- What users thought of it: adoption, feedback quality, and manager response
- What Phase 2 looks like and how the team is building on what we delivered together
Who should attend:
HR leaders, People team heads, COOs, and anyone evaluating whether to replace an existing SaaS tool with something built on AI. If you’ve ever looked at a software renewal and thought ‘we could replace this with something better’, this session shows you what’s possible, and what it takes to get there.
What you’ll leave with:
- A concrete example of what purpose-built AI looks like in practice, with timeline, cost, and what users said
- The scoping framework used to go from decision to live product in 6 weeks
- A clearer sense of what’s achievable when the tool is designed around your exact workflow
