Fixing the Flow
Enhancing AI for B2B Software
Industry: B2B Software / AI Technology
Location: Europe
Engagement: Short-term advisory
(one-time consultation + implementation support)
AI consulting
AI optimization
Prompt engineering
Overview
A European B2B software company using AI was struggling with its product’s performance. Their AI model delivered inconsistent results, leading to client dissatisfaction and churn.
The company engaged enäks for a short-term AI consulting project to provide AI optimization, configuration fixes, and prompt engineering that would stabilize performance and improve client retention.
The Challenge
The company’s AI product faced critical performance issues:
Inconsistent AI results
The model’s outputs varied widely, frustrating clients.
Poor AI configuration
Without intervention, the company risked losing more clients and damaging its credibility in the B2B AI solutions market.
Temperature settings and model choice were not aligned with best practices.
Client dissatisfaction and churn
Unreliable performance caused clients to abandon the product.
The Solution
After a focused consultation and review of the client’s AI setup, enäks implemented a targeted optimization strategy:
Temperature Adjustment
Reduced temperature from 0.6 to 0, ensuring predictable, consistent outputs.
Model Migration
Recommended moving from LLaMA 3.1 to Claude 3.5 Sonnet, better suited for B2B requirements.
Prompt Engineering
Redesigned prompts for clarity and structure, improving accuracy and contextual alignment.
Business Impact
The improvements were immediate and measurable:
+75%
time saved through faster, consistent AI outputs
–80%
bugs by eliminating erratic responses and errors
€33,750
estimated cost savings from reduced inefficiencies and client support
Positive feedback from clients, leading to renewed usage and stronger satisfaction
FAQ
How do I know if my AI model is configured correctly?
Configuration issues show up as inconsistent results, higher error rates, or client complaints. An AI consulting partner can audit your setup (temperature, model, prompts) and identify misalignments.
How does temperature setting affect AI outputs?
Higher temperatures make AI “creative” but unpredictable. Lowering it to 0 produces stable and consistent outputs better suited for B2B use cases.
When should I switch AI models instead of fixing my current one?
If your current model consistently underperforms or doesn’t fit the use case, AI optimization may include migrating to a model better suited for your scope, as we did with Claude 3.5 Sonnet in this case.
How does prompt engineering improve AI performance?
Well-designed prompts reduce ambiguity and help the AI deliver more accurate, relevant results. Poor prompts often lead to inconsistent outputs and client dissatisfaction.
How much cost savings can AI optimization generate?
Savings depend on the scope, but clients typically reduce support costs, rework time, and lost revenue from churn. In this project, optimization delivered €33,750 in estimated cost savings.
Can AI optimization really reduce churn?
Yes. Inconsistent AI performance is one of the top reasons for client loss in B2B AI products. Improving stability and accuracy through AI consulting and prompt engineering directly improves retention.