Ongoing AI Quality Monitoring
Know whether your AI is still answering well.
Establish recurring evaluations and review routines for the quality of your live AI system.
The opportunity
The problem we help you solve
A good launch evaluation does not last forever. Source information changes, new questions appear and updates alter the behaviour of the system. Without recurring checks, quality problems can accumulate unnoticed.
Voxd helps establish an ongoing evaluation routine for your agent or assistant. We agree representative tasks and quality criteria, review selected evidence and track findings over time. The result is a practical feedback loop that supports better decisions about maintenance and improvement.
What changes for your team
See changes against a baseline
Compare performance over time using agreed tasks and criteria rather than relying only on occasional complaints.
Find recurring weaknesses
Identify patterns in unsupported answers, missing knowledge or poor escalation that need attention.
Prioritise improvements with evidence
Connect the maintenance backlog to observed issues and the importance of the affected tasks.
What we deliver
What Voxd can deliver
Quality baseline
Develop or review the evaluation set and expectations for acceptable behaviour.
Recurring checks
Run agreed evaluations and review samples appropriate to the system and its use.
Findings and improvement review
Report trends, examples and recommended actions for the responsible team.
Why Voxd
Support from people who can work across the system.
A problem may sit in an instruction, a knowledge source, an API or the application around the model. Voxd’s work spans these layers, from connected customer agents to bespoke software and operational workflows.
We can investigate the whole journey and implement improvements within the agreed scope. You get continuity between understanding the business purpose and maintaining the technology, with clear expectations about what is covered and what needs a separate project.
How we work
A clear operating rhythm
- 01
Review the starting point
We assess the system, dependencies, access and existing documentation. We identify any work required before ongoing support can begin.
- 02
Agree responsibilities
We define coverage, priorities, response expectations and the split between maintenance, incidents and new development.
- 03
Establish visibility
We set up appropriate monitoring and quality checks, with a baseline that makes changes in performance easier to investigate.
- 04
Maintain and improve
We handle agreed support work and review the evidence with you. Tested changes and a prioritised backlog keep improvement deliberate.
Before you get started
Before you get started
Does this mean reviewing every conversation?
Not necessarily. Coverage can combine test cases and selected samples, with the scope and limitations agreed for your system.
Can you monitor after model changes?
Yes. Comparing proposed changes against the baseline is a useful part of a controlled update process.
Make quality a continuing practice.
Tell us which answers or tasks your users rely on most.