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.

Talk to us about optimization
80/20

Most of the value sits in a fraction of the changes. We find that fraction.

Source: BCG, value concentration and prioritisation research

After go-live

After go-live is where the value is found.

Collections technology optimization 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 optimize

Start where the value is.

Each route has its own page. Start with the one that matches what's holding performance back today.

Optimize 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.

How we optimize collections technology

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.

How we turn collections data into decisions

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.

Our managed technology and data services

Optimize your technology

Go-live is the starting point.

Your technology was configured for the business as it was on launch day. The business has moved on since. We can improve specific areas, add the specialist skills you're missing or run the technology for you, without starting another major program.

Outcomes haven't moved as much as expected. Small changes take months, because each one feels like a project. Carrying every specialist technology skill in-house is expensive. The vendor's roadmap keeps moving, and nobody is sure what's worth adopting. Each problem is small on its own. Together, they hold back performance and slow every change.

The approach

Five steps from live technology to lasting value.

  1. Measure

    Check how the technology is performing against the outcomes and business case it was bought for.

  2. Identify

    Find unused functionality, process friction, performance issues and capability gaps.

  3. Prioritise

    Size the value, effort and risk of each change and build a practical roadmap.

  4. Improve

    Configure, enhance, integrate, automate, test and release the changes worth most.

  5. Repeat

    Monitor performance, customer outcomes and model behavior, and keep refining.

What we work on

Improvement across the whole system.

Technology performance

Configuration, workflows and integrations that run better in practice.

Everyday change

A steady flow of improvements, without program overhead for each one.

Vendor roadmap value

New releases tracked, and the parts that matter to you actually delivered.

Data and analytics

Segmentation, propensity models and portfolio insight that show where to improve next.

AI and models

Performance, explainability and customer outcomes monitored, so the benefits hold.

Testing, releases and upgrades

Regression testing and releases managed, so the technology evolves safely.

Every improvement has to earn its place. We judge each one on performance, cost, usability and customer outcomes.

We know the technology

Hands-on experience across the major systems, including Debt Manager, Experian PowerCurve Collections, Flexys, Qualco QCR, EXUS EFS and CGI CACS.

We know collections

Every change is judged by people who understand the operation and the customers it serves.

We measure as well as change

Our analytics show where value is being lost, and give you evidence of whether the fix worked.

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.

Using AI to optimize collections performance

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.

60%Increase in campaign payments, from channels the council already owned
Read the case study

Not live and stable yet?

If the program 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.

Explore Rescue

FAQs

Choosing where to start

How do we tell whether the problem is the technology, the data or the operating model?
Look at where the outcome breaks down. If the right decision is made but the system can't execute it cleanly, that's usually technology. If the system does what it's told but accounts are treated the wrong way, that's usually data and decisioning. If both look fine and the constraint is people, skills and capacity, that's the operating model. Most organizations see a mix. The point is to find which one is holding the others back.
Can the three routes run together?
Yes, and they often should. They support each other. Sequencing only matters when one depends on another, for example when the technology can't yet run the treatments your data recommends. Then we do the enabling work first.
What do you need to see before recommending a route?
Enough evidence to be honest with you, not a full audit. Typically the outcomes you expected against what you're getting, how the technology is configured and used, a sample of performance and portfolio data, and the skills you have in-house. From that, we can tell you which route will move the numbers first.
Can AI tools help us get more from the technology we already run?
Yes, and that is often the fastest route to value. AI can improve segmentation, contact timing and treatment choices inside your existing technology without a new implementation. We check that your data and processes can support the use case, choose the tool, and monitor the results as closely as any other change.
When should optimization start?
As soon as the technology is stable. Go-live creates a baseline, not an endpoint. Measuring early shows adoption gaps, configuration fixes and the next opportunities.
Do you need to have implemented the technology?
No. We optimize technology implemented by us, the vendor, another partner or your own team.
Can you run the technology for us?
Yes. Our managed technology service gives you a dedicated specialist team to support, change and improve the technology, with capacity that flexes as demand changes.

Let's talk.

Get the return you've been waiting for. Thirty minutes with one of our senior experts, in your time zone. Tell us what the technology is delivering today and we'll show you where value is being left behind.
General enquiry
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  • London1 Lyric Square, London W6 0NB
  • Sydney97-99 Bathurst St, Suite 1087, Ground Floor, Sydney NSW 2000