Simba Sleep unlocks £600K+ monthly revenue with Ada AI agent Luna
As Simba Sleep grew from a start-up into a major player and expanded into new markets, it needed to scale customer support without the compounding costs of headcount growth — supervisors, training, and infrastructure — while preserving the agility, talent retention, and customer-first culture it valued.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer inquiry received
Customer inquiries arrive across web chat, email, and social community channels.
Tools used
Ada
Outcome
Ada's generative AI agent Luna handles the equivalent of 8 full-time agents' workload, resolving an average of 1,000 conversations per week around the clock, while freeing 3 human agents to focus on abandoned carts and sales callbacks — generating approximately £600,000 per month in additional revenue.
What failed first
Simba initially deployed the declarative (scripted) version of Ada and then briefly tried another platform, neither of which produced transformational results.