AI Strategy & Generative AI Development
AI Evaluation, Monitoring & Optimization
Ongoing measurement and tuning of AI systems already in use, tracking quality, cost, latency and risky outputs so your assistants and models stay reliable as data and usage change.
Overview
Why it matters
for your business.
An AI feature that worked at launch can quietly degrade. Providers update models, users ask new kinds of questions and source documents go stale. Without measurement, nobody notices until a customer complains. We set up evaluation and monitoring for chatbots, RAG systems, agents and predictive models, whether we built them or another team did.
First we create test sets that reflect your real tasks and define what good looks like, combining automated scoring with periodic human review. Then we instrument production to capture traces, flag hallucinations, unsafe content and drift, and track spend per feature. Monthly reviews turn findings into concrete fixes, such as prompt changes, retrieval tuning or switching to a cheaper model where quality holds.
What's included
- Evaluation framework and curated test datasets
- Production tracing and observability setup
- Quality, cost and latency dashboards
- Alerts for drift, failures and unsafe outputs
- Human review workflow for sampled responses
- Monthly optimisation report with recommended changes
Outcomes
What changes
for your business.
Ideal for
- Companies running AI features in production
- Teams worried about hallucinations or rising costs
- Regulated firms needing AI oversight records
Problems caught early
Quality drops and unusual behaviour trigger alerts before they affect large numbers of users or customers.
Lower AI spend
Usage data shows where smaller models, caching or prompt trimming reduce costs without hurting results.
Confident model upgrades
Regression tests reveal whether a new model version is genuinely better for your tasks before switching.
How we deliver
A clear, accountable
process.
Every engagement follows the same disciplined approach, adapted to the size and urgency of your project.
- 01
Identify
We find the use cases and processes where AI or automation clearly pays off, and estimate the impact.
- 02
Prototype
A proof of concept on your own data shows what works before you commit to a full build.
- 03
Deploy
We integrate with your systems, add guardrails and human review, and train your team.
- 04
Monitor & improve
Accuracy, cost and usage are tracked, and the solution is tuned as your data and needs change.
Ways to work with us
- Fixed-price projectsDefined scope, milestones and deliverables.
- Implementation & integrationOne-time technology deployment and integration.
- Time & materialFlexible delivery based on actual effort and resources.
- Monthly managed servicesRecurring application, IT, marketing or infrastructure support.
FAQ
Common
questions.
Something else on your mind? Ask us directly.
Can you monitor an AI system that another vendor built?
Yes, provided we can access logs or add lightweight instrumentation to the application. We review the architecture, agree what to measure and start with a baseline evaluation. Most setups need only small code changes to capture prompts, responses and metadata for analysis.
How do you measure accuracy for open-ended AI answers?
We combine reference answers for common questions, automated checks such as faithfulness to source documents, model-assisted grading and regular human review of samples. No single metric is perfect, so we track several and validate automated scores against human judgement periodically.
Let's talk about AI Evaluation, Monitoring & Optimization.
Tell us what you need and get a clear plan and proposal, free and with no obligation.