Optimise
Make your technology, AI and data solutions work harder.
You've already made the investment. We make sure you're getting everything out of it.
Most of the value sits in a fraction of the changes. We find that fraction.
Source: BCG, value concentration and prioritisation researchAfter go-live
After go-live is where the value is found.
Collections technology optimisation is the process of getting more from technology, data and AI that are already live.
Requirements keep evolving after go-live, new features arrive with every release, and teams learn what works in practice. That's where the biggest gains usually sit.
Getting that value takes one of three things. Improving the technology. Using your data better. Or putting a specialist team behind both.
Three ways to optimise
Start where the value is.
Each route has its own page. Start with the one that matches what's holding performance back today.
Optimise your technology
Tune configuration, deliver a steady flow of improvements, take value from the vendor roadmap and manage upgrades safely. Start here when the technology can't execute the decisions you want.
Get more from your data
Use segmentation, propensity models and portfolio insight to decide how to treat each account, and measure the effect of every change. Start here when accounts are treated the wrong way.
Managed services
Let a dedicated specialist team run and improve your technology and analytics, so you don't have to carry every role in-house. Start here when the constraint is skills and capacity.
AI
AI can lift a live operation now.
Applied to a live operation, AI can sharpen segmentation, contact strategy and treatment choices inside the technology you already run.
The gains come from choosing uses your data and processes can support. Then you monitor the results as closely as any other change.
Used well, it lifts contact rates, payments and treatment quality without a new implementation.
Case study
Campaign payments up 60%, from channels they already owned.
The London Borough of Redbridge had invested in digital collections channels, but wasn't seeing the return. We rebuilt the contact strategies running through them, introduced champion and challenger testing and set new measures for success. Campaign payments rose from 28% to 45% of campaign value.
Not live and stable yet?
If the programme never reached a controlled go-live, that's where Rescue starts.
If deadlines keep moving or the technology still isn't stable, Rescue finds what's wrong, resets delivery and gets it moving again.
FAQs
Choosing where to start
How do we tell whether the problem is the technology, the data or the operating model?
Can the three routes run together?
What do you need to see before recommending a route?
Can AI tools help us get more from the technology we already run?
Let's talk.
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