What’s included
What’s included
Tracing
End-to-end traces across prompts, retrieval, tools and model calls for every request.
Built with
- Amazon CloudWatch
- AWS X-Ray
- Amazon Bedrock
Why it matters
Why it matters.
Model behaviour drifts as data, prompts and providers change, silently, unless you are measuring output quality.
Cost and latency per request are business metrics now, and they need to sit on the same dashboard as quality.
Real production traces are also your best source of future evaluation data and product improvements.
What’s included · how it runs
Instrument. Measure. Alert. Improve.
Step 01
Instrument
Add tracing and telemetry across the AI request path.
What’s included
Tracing
End-to-end traces across prompts, retrieval, tools and model calls for every request.
Step 02
Measure
Define quality, cost and latency signals and set thresholds.
What’s included
Cost and latency telemetry
Token spend and response times broken down by feature, model and customer.
Step 03
Alert
Wire dashboards and alerting into your existing on-call tooling.
What’s included
Quality monitoring
Online scoring, drift detection and alerting when answer quality moves.
Step 04
Improve
Establish the loop from production signal back into evaluation and tuning.
What’s included
Feedback loop
User feedback capture routed back into your evaluation datasets.
What you walk away with
- Traced AI request path
- Quality, cost and latency dashboards
- Drift and regression alerting
- Feedback pipeline into evaluation datasets
Case studies
Customers we’ve delivered this for.
Draft · pending HES approval
Case studyHuman eSources
Make the hiring call with AI.
How Human eSources turned nearly three decades of talent science into AI that explains every job match, live on Amazon Bedrock behind TruTalent, its new recruiting platform.
- Industry
- HR tech, talent assessment
- We built
- Talent Scout AI
- Runs on
- Amazon Bedrock
Keith Gaudreau
VP Product Strategy
Case studyMould Detect AI
Computer vision for mould detection.
[How the client got the outcome: what Assembly built and where it runs. One sentence.]
Talk to an engineer[Client logo][First Last][Role]
Case study[Client]
[The promise] [in 2 lines].
[How the client got the outcome: what Assembly built and where it runs. One sentence.]
Talk to an engineer[Client logo][First Last][Role]