AI Answer Quality & Reliability Testing
Evaluate AI answers against representative tasks and agreed quality criteria.
The opportunity
An agent can sound confident and still miss the point, rely on the wrong source or fail when a question is phrased differently. A handful of successful demonstrations does not reveal those patterns.
Voxd builds evaluations around the tasks and questions that matter to your service. We include incomplete, difficult and out-of-scope cases, then assess the responses against agreed criteria. You receive a clearer picture of what the system does well, where it fails and which improvements deserve attention first.
Evaluate representative questions consistently instead of relying on a few memorable successes or failures.
What we deliver
Collect representative tasks, difficult cases and the expectations for an acceptable answer.
Check factual support, relevance and failure handling against the agreed scope.
Document patterns and recommendations with examples your team can inspect.
Why Voxd
Voxd’s delivery work includes human approval in iGlobal’s proposal workflow, consent-led introductions in GBM’s concierge and role-aware guidance within the Waitrose supplier portal. These are concrete examples of oversight designed into a user journey.
We bring that engineering perspective to governance engagements, helping your responsible teams connect policy to system behaviour. We can support their assessment and evidence gathering while leaving legal interpretation and formal sign-off with the appropriate advisers and accountable owners.
How we work
We identify the tools, systems and proposed uses in scope, who is affected and which internal requirements apply.
We work with the relevant owners to define responsibilities, review thresholds and practical guidance matched to the use cases.
We help translate requirements into workflows, access rules, approval steps and evaluation processes that teams can operate.
We establish review points for changes in the system, supplier or business use, with a route for recording and addressing issues.
Before you get started
Yes, subject to suitable access and an agreed scope. We establish what can be evaluated independently and what needs additional system information.
No. An evaluation measures performance on the selected cases. It provides useful evidence and regression checks, with limits determined by its coverage.
Bring the questions it must handle well and the failures you already suspect.
Distinguish missing knowledge, retrieval problems and response behaviour so fixes address the right layer.
Use the evaluation set as a baseline for reviewing future updates to information, instructions or models.