Quality and cost baseline
How well the system performs today, and what each task costs.
Technical leadership
AI quality and cost improvement
AI quality and cost improvement makes an existing AI system more reliable and cheaper to run per task. I set a quality and cost baseline, trace how results are produced, and improve model choice, retrieval, prompts and review without reducing quality.
Discuss this service ↗Is this right for you?
Who this is for, and who it isn't.
A good fit if
- Your AI feature gives inconsistent results and you cannot measure how often
- AI costs are rising faster than usage or revenue
- Nobody can explain why the AI produced a particular output
Probably not the right fit if
- You do not yet have an AI system in use: see AI features and automation
- The concern is company-wide AI tool spending rather than one system: see the AI Spend & Investment Review
What you get
A practical result, not just a conversation.
Evaluation approach
A test set or method to measure quality before and after changes.
Monitoring and failure analysis
Where and why the system fails, and how to see it in production.
Improvement plan with targets
Changes ranked by expected impact on quality and cost.
How it works
Three stages, agreed up front.
Measure
You and I agree how quality and cost will be measured. I record a baseline.
Diagnose
I trace inputs to outputs to find what drives errors and cost.
Improve
I make and test changes against the baseline.
Evidence
Relevant work you can check.
Published projects and guides that show this kind of work in practice.
Managing AI costs (free guide)
The cost-control approach used in these engagements, published in full: unit economics, cost ledgers, model choice and budget alerts.
Read the guide ↗FewzenAI WhatsApp agents case study
A platform for goal-oriented WhatsApp agents using OpenAI, with campaign management, CRM integration and interaction analytics. Teams could automate customer conversations while retaining control over agent behaviour and campaigns.
Read the case study ↗Using AI skills for agents (free guide)
How to structure agent capabilities, permissions, testing and governance.
Read the guide ↗Common questions
Before you get in touch.
How much does AI quality and cost improvement cost?
The initial assessment is scoped and usually fixed-price. Implementation work is then scoped in stages based on what the assessment finds.
Can you reduce our AI costs without making results worse?
Often, yes, but only if quality is measured first. Without a baseline, cost savings may simply be quality losses that nobody has noticed.
What usually drives high AI costs?
Common causes are using a more expensive model than the task needs, sending too much context, repeated or looping agent calls, and paying twice for the same work because nothing is cached.
Work with me
Is this the right place to start?
Tell me what you are trying to achieve and you and I can work out the most useful next step. Start with a 30-minute call with me.