Fine tuning
You've probably already tested LLMs like ChatGPT, DALL-E, Midjourney, or Claude... They're powerful, but often very generic — which becomes a problem when you genuinely want to save time and automate.
At JUNR, we adjust and optimize LLMs so they fit your business and its specifics, but we don't stop at the model! We integrate this customized AI into your existing tools, or we build a specialized interface for your teams. The goal is simple: achieve a more consistent, more relevant result — and above all, one that's usable in production.
Fine tuning is a good fit when you repeat the same tasks, with stable rules, and you want to stop "tinkering" with prompts by hand.
It's strategic when you need a general-purpose AI to become a business tool:
Structure, required fields, length, style
Categories, thresholds, nomenclatures, internal guidelines
Validation, routing, export, history
Consistency from one user to another
Your products, your offerings, your criteria, your words
THE JUNR APPROACH
We move forward in a structured way, with a simple logic: quickly prove it works, then industrialize.
Goals and KPIs
We start with the decision or task to improve, then set the success criterion: time saved, perceived quality, error reduction, consistency, productivity, better qualification...
Data analysis and processing
We take inventory of available data, its quality, its consistency, and its ability to produce a reliable result. Then we prepare it: cleaning, structuring, normalization.
Testing, selection, and fine tuning of the model
We test several approaches on real cases. We pick the one that produces the best quality / consistency / risk trade-off. Then we tune it to stabilize results within your context.
Integration or specialized interface
This is where the project becomes tangible for users: screens, flows, permissions, history, exports, human validation if needed. We put the AI "in the flow," not "on the side."
Monitoring and continuous improvement
An AI needs to be managed. We track quality, user feedback, and improve it. A good system is one that progresses without breaking existing usage.
Integration
Interface creation
Customize, then integrate.
At Junr, the final deliverable is smooth, everyday usage. Depending on your organization, we do one (or both):
- integration into your existing tools: CRM, support, back-office, internal tools, business systems
- creation of a specialized interface: a simple, focused workspace, designed for the team that will actually use it
The goal is for the AI to be accessible at the right place, at the right moment, without friction, and with predictable results.
Here are typical examples of Fine Tuning projects we implement.
Depending on the case, JUNR sets up:
Customer feedback analysis
Group themes, detect pain points, measure sentiment, produce a usable summary by product, by location, by period.
Gap analysis
Compare two pieces of content or two situations, surface what's missing, isolate differences, produce a structured (and actionable) summary.
Accounting automation
Assist with repetitive task processing — structure, classify, pre-fill, standardize outputs.
Sales force optimization
Help qualify leads, structure a response, rephrase, standardize sales pitches, produce conversation summaries and next steps.
Presentation creation
Turn notes or documents into an outline, key messages, framework, and content — with a consistent structure.
... And much more
Whenever you have recurring content and business rules to follow.
Fine Tuning is particularly useful for executives and team leaders who want to improve a concrete process: support, sales, operations, finance, content production, analysis. It is even more relevant when several people perform the same task and you want consistent quality.
- More consistent results (less variation from one user to another)
- Less dependency on "well-written" prompts
- Integration into your tools, meaning real adoption
- A control framework (formats, rules, validation) when needed
- A tool that truly serves your daily work, not an experiment.
Tell us what you want to make more reliable: analyzing customer feedback, supporting the sales team, producing summaries, comparing discrepancies, generating presentations, assisting accounting…
We'll quickly tell you whether Fine Tuning is the right approach, which scope to roll out first, and how to integrate it into your tools (or via a dedicated interface) so it gets used from V1.
