--- title: Services | AI Cost & Quality Engineering | Luna Nova description: "Three offers to control AI cost and quality: AI Software Factory cost engineering, AI margin engineering for IT products, and fractional AI leadership." --- [Skip to content](https://lunanova.ai/en/services#main-content) [![Logo (28)](https://lunanova.ai/hubfs/Logo%20(28).svg "Logo (28)")](https://lunanova.ai/) - [English](https://lunanova.ai/en/services) - [Français](https://lunanova.ai/fr/offres/ai-software-factory) English Show submenu for translations - [Offers](https://lunanova.ai/en/services) - [Method](https://lunanova.ai/en/method) - [Latest projects](https://lunanova.ai/en/projects) - [About](https://lunanova.ai/en/about) - [Contact](https://lunanova.ai/en/contact) Open main navigation Close main navigation - [Offers](https://lunanova.ai/en/services) - [Method](https://lunanova.ai/en/method) - [Latest projects](https://lunanova.ai/en/projects) - [About](https://lunanova.ai/en/about) - [Contact](https://lunanova.ai/en/contact) - - [English](https://lunanova.ai/en/services) - [Français](https://lunanova.ai/fr/offres/ai-software-factory) English Show submenu for translations - [Discuss your AI project](https://calendly.com/luna-nova/30min) [Discuss your AI project](https://calendly.com/luna-nova/30min) Services # Our services AI FinOps, AgentOps and part-time AI leadership: three ways to control the cost and quality of your AI. Choose the offer that matches your situation. Each one starts with a focused audit and a proof of concept on your own tasks. [Discuss your AI project](https://calendly.com/luna-nova/30min) ## 01. AI Software Factory Cost Engineering **Control the LLM costs of your development teams.** For CTOs and Engineering leaders who want to optimise the cost of their coding agents, from harnesses and execution loops to software factories. ### What we measure A fast agent is not necessarily the most economical system. The number of attempts, the size of the context, the tools called, the harness steps, the tests, the corrections and the rework all influence the real cost of AI-assisted development. We link billed costs to the tasks actually accepted: a resolved issue, a validated change or a delivered software change. The level of quality, the security checks and productivity remain comparison constraints, not variables to sacrifice. ### Levers explored according to your usage - Models and routing according to task complexity. - Prompts, context, memory and information retrieval. - Skills, tools, harness steps and orchestrations that have become redundant. - Execution loops, retries, checks and human intervention. - Usage observability and attribution of spend to teams or workflows. Each lever must be tested. A harness simplification is only worthwhile if the results remain consistent with the acceptance criteria. ### How we work **1. Focused audit.** Identify the priority steps and cost items in your development chain, from scoping to deployment. **2. Comparative POC.** Choose a representative agent, skill or harness step. Define the baseline, then test variants on reproducible tasks, in an authorised and isolated environment. **3. Optimisation decision.** Compare cost per accepted task, quality, regressions, duration and corrections. Estimate the potential, the implementation cost and the deployment conditions. **4. Tailored follow-up if useful.** Controlled integration, tracking of actual spend and continuous improvement with your teams. ### What the POC allows us to conclude A POC can demonstrate a unit cost difference at comparable quality on the tested tasks. It does not guarantee the same difference on all projects, nor an overall bill reduction before deployment. We make the size of the test, the variants evaluated and the limits of generalisation visible. [See the related project](https://lunanova.ai/en/projects#ai-software-factory) ## 02. AI Margin Engineering for IT Products **Reduce the cost of your AI features and agents in production.** For companies and SaaS vendors that integrate AI into their products and services and want to optimise its cost per outcome. ### As usage grows, unit cost becomes strategic An AI feature consumes resources on every call, sometimes at every step of a workflow. Model, context, tools, searches, repeated attempts and corrections can change the cost of the service delivered, and therefore the margin by customer and by use. The central metric is not the token price. It is the AI cost of a validated business outcome: a reliable answer, a correctly handled request or a completed task. Quality, security and latency thresholds are defined with your teams. ### What we explore - Cost per feature, workflow, usage segment or type of request. - Choice of models, prompts, context and routing according to tasks. - Tools, searches, orchestration, unnecessary calls and retries. - Quality tests, traces, regressions and business criteria. - Expected effect on service cost and margin scenarios, after taking implementation costs into account. ### Focused audit, POC, then possible deployment We select with you a representative agent or workflow, build a cost and quality reference and test candidate configurations in a secure environment. Test cases can come from real traces after authorisation and appropriate protection. No interaction with a customer or a production system is triggered without validation. The deliverable presents verifiable comparisons on the evaluated scope, an estimate of the potential, the regression risks and the conditions for deployment. Bill savings are only confirmed after going into production and real monitoring. [See the related project](https://lunanova.ai/en/projects#agent-ia-commercial) ## 03. Fractional AI Leadership **Structure your AI strategy and speed up its implementation.** For executives looking for strategic support in their AI transformation, alongside the teams in charge of the topic: steering, governance, implementation, industrialisation and adoption. ### AI leadership adapted to your organisation Technical capabilities progress quickly, but investment decisions, governance and adoption require a shared trajectory. We work part-time, with your Product, Engineering, IT and business teams, to turn scattered initiatives into manageable priorities. Depending on the context, the engagement may take the form of AI Product Leadership, a part-time CPO or AI Operations Leadership (Chief AI Officer). The exact role, responsibilities and pace of involvement are defined together. ### The topics we lead - Strategy, use cases and trade-offs based on value, risk and feasibility. - Governance, accountability for decisions and an evaluation framework for AI systems. - Implementation, moving from POC to production and industrialisation. - Adoption, skills, organisation and transfer to internal teams. - Business models, architecture choices and tracking of useful KPIs. ### Ways of working Strategic scoping, part-time support or a targeted engagement. Possible deliverables include a prioritised roadmap, governance bodies, an industrialisation plan and an adoption programme. The scope is adapted to the maturity and the teams already in place. [See the related project](https://lunanova.ai/en/projects#direction-produit-ia-llmops)   Contact us Describe your context and challenges. We will get back to you to clarify your needs.   [linkedin-in icon](https://www.linkedin.com/in/rikdams/) [X Twitter icon](https://twitter.com/Rik_Dams) [instagram icon](https://www.instagram.com/agenceseo.green/) - [Offers](https://lunanova.ai/en/services) - [Method](https://lunanova.ai/en/method) - [Latest projects](https://lunanova.ai/en/projects) - [About](https://lunanova.ai/en/about) - [Contact](https://lunanova.ai/en/contact) --- ![green-seo-reforest-action](https://seotraveler.com/hubfs/green-seo-reforest-action.png "green-seo-reforest-action") ![agence-seo-1-pourcent-pour-la-planete](https://seotraveler.com/hubfs/agence-seo-1-pourcent-pour-la-planete.png "agence-seo-1-pourcent-pour-la-planete") ![agence-seo-eco-conception](https://seotraveler.com/hubfs/agence-seo-eco-index.png "agence-seo-eco-conception") ![green-seo-carbon-negative-logo](https://seotraveler.com/hubfs/green-seo-carbon-negative-logo.png "green-seo-carbon-negative-logo") ![green-seo-unesco](https://seotraveler.com/hubfs/green-seo-unesco.png "green-seo-unesco") [Legal notice](https://lunanova.ai/mentionslegales#english) - [Privacy policy](https://lunanova.ai/confidentialite#english) Expertise: [LLM cost optimization consulting](https://lunanova.ai/en/llm-cost-optimization/consulting) - [AI FinOps consulting](https://lunanova.ai/en/ai-finops/consulting) - [Coding agent cost optimization](https://lunanova.ai/en/coding-agents/cost-optimization) Made with ♥ in Bordeaux and Paris, France Copyright © 2026 Luna Nova