Use real interactions
Production questions expose weak answers and recurring knowledge gaps.
Major retail bankA two-year plateau.
A two-year plateau.
A new result in four weeks.
An existing production RAG assistant moved from roughly 80% to more than 95% answer accuracy through a structured expert improvement loop.
~80%
Accuracy at the previous plateau
>95%
Accuracy after improvement
4 weeks
Time to exceed the plateau
Major retail bank · Commercial call-centre support · Reported deployment results
The challengeWhere expertise
Where expertise
was getting stuck.
After two years of iterative tuning by IT and subject-matter experts, the production assistant had reached approximately 80% accuracy. Real operator questions continued to expose the last-mile knowledge gaps.
The Syllotips approachThe software.
The software.
The experts.
The workflow.
Syllotips connected production failures, evaluation and expert corrections in a repeatable operating process. The same group of 10 domain experts reviewed weak cases and turned missing knowledge into validated contributions.
How the loop works
in practice.
Prioritise the failures
Evaluation creates an improvement backlog grounded in daily work.
Capture expert corrections
Domain experts resolve the cases where their judgment matters.
Reuse validated knowledge
Future interactions can retrieve approved contributions in the right scope.
The outcome
What changed.
With the same 10 domain experts, answer accuracy increased from approximately 80% to more than 95% in four weeks. The bank’s name is confidential.
Results describe an individual deployment. Scope, workflows and outcomes vary by customer.
Explore the improvement softwareFind the improvement
your team can build on.
Bring a real agent or workflow. We’ll show you where Syllotips fits, what it can improve, and how to get started.