PeopleStrong

Overview

Leading product and AI strategy following the acquisition of Grownout, scaling both the platform architecture and the product organisation to carry enterprise HR workloads through a period of APAC hyper-growth.

The problem

Post-acquisition, two things had to scale faster than either was designed to: the architecture and the organisation. Enterprise HR workloads are spiky and tenant-isolated by obligation, and an acquired product's assumptions rarely survive contact with that. Meanwhile the team had to absorb new scope without losing the delivery speed that made it worth acquiring.

What we built

Architecture for enterprise load

Multi-tenant foundations reworked for the volume and isolation guarantees enterprise HR customers require.

Applied ML in production

Machine learning deployed inside real hiring workflows at genuine scale, rather than as a differentiating feature on a slide.

Product organisation

Teams, ownership boundaries, and planning cadence rebuilt so the organisation could grow without every decision escalating.

Acquisition integration

The acquired product folded into the platform's roadmap and data model instead of running as a permanent island.

How we approached it

• Architecture and organisation scale together or neither does
• Tenant isolation is a hard requirement in enterprise HR, not a configuration
• Deploy ML where it changes an outcome, not where it markets well
• Integrate acquisitions into the roadmap early, before divergence compounds

Outcome

A platform and a product organisation both carrying APAC hyper-growth, with applied ML running in production hiring workflows at enterprise scale.