The AI Performance Guardian
A 4-week engagement structured as a sprint to deliver cost reductions, performance improvements, and a roadmap for sustained AI excellence across your Microsoft AI ecosystem.
AI Performance Guardian
Model lifecycle management service delivering cost reductions, performance improvements, and strategic optimisation roadmap for sustained AI excellence.
Where This Product Fits In Your Transformation
Comprehensive AI Performance Optimisation
We systematically analyse, optimise, and enhance your AI services across cost, performance, quality, and governance dimensions, ensuring sustained excellence.
Discover & Baseline
We begin by understanding your current AI architecture and performance baseline.
- Comprehensive architecture review and discovery
- RAG and indexing baseline assessment
- Current cost and performance analysis
Optimise & Tune
We optimise RAG pipelines, prompts, and model configurations for peak performance.
- RAG pipeline optimisation and prompt library enhancement
- Semantic ranking and indexing strategy refinement
- Performance, hardware, and inference tuning
Validate & Roadmap
We validate improvements and deliver strategic roadmap for sustained excellence.
- Model tuning and performance validation
- Well-Architected AI review and scoring
- Strategic optimisation roadmap for 6-12 months
Comprehensive Performance Optimisation Deliverables
A complete AI performance optimisation package with cost reductions, infrastructure improvements, performance enhancements, and strategic roadmap.
Cost Reduction & Infrastructure Optimisation
Final Cost Reduction Report with optimised Azure Infrastructure Configuration and Inference Optimisation Settings to minimise operational costs while maintaining performance.
RAG Pipeline & Performance Optimisation
Optimised RAG Pipeline Configuration with Latency/Throughput Benchmarking Data and Recommended Hardware Acceleration SKU for maximum performance efficiency.
Prompt Library & Model Tuning
Optimised Prompt Library, Semantic Ranking Configuration, New Indexing Strategy, and Potential Fine-Tuned Model Weights for improved accuracy and quality.
Well-Architected AI Review & Strategic Roadmap
Well-Architected AI Review Scorecard and Strategic Optimisation Roadmap (6-12 months) providing clear path for sustained AI excellence and continuous improvement.
Why Choose The AI Performance Guardian?
Optimise your AI services across cost, performance, quality, and governance to achieve sustained excellence and maximise return on investment.
Cost & Efficiency
Achieve significant cost reductions through optimised Azure infrastructure configuration, inference optimisation, and efficient resource utilisation.
Performance & Speed
Optimise RAG pipelines, hardware acceleration, and inference settings to deliver faster response times and improved throughput.
Quality & Accuracy
Enhance AI quality through optimised prompts, semantic ranking, improved indexing strategies, and fine-tuned model configurations.
Governance & Future
Well-Architected AI review scorecard and strategic roadmap ensure sustained excellence and continuous improvement over 6-12 months.
Four Weeks To AI Performance Excellence
A structured sprint taking you from discovery and baseline assessment to fully optimised AI services with strategic roadmap for sustained excellence.
Architecture Review & RAG/Indexing Baseline
Conduct comprehensive discovery and architecture review of your AI services. Establish RAG and indexing baseline to understand current performance, costs, and optimisation opportunities.
Retrieval-Augmented Generation & Prompt Optimisation
Optimise RAG pipeline configurations, enhance prompt libraries, refine semantic ranking, and develop new indexing strategies to improve accuracy and response quality.
Performance, Hardware & Inference Tuning
Conduct latency and throughput benchmarking, optimise Azure infrastructure configuration, tune inference settings, and recommend hardware acceleration SKUs for peak performance.
Model Tuning, Final Deliverables & Roadmap
Complete model tuning and fine-tuning, perform Well-Architected AI review, finalise all optimisation deliverables, and deliver strategic optimisation roadmap for 6-12 months.
Measurable Performance Optimisation Outcomes
The AI Performance Guardian delivers tangible improvements to cost efficiency, performance metrics, and AI service quality with clear ROI.
Significant cost savings through optimised infrastructure and inference settings.
Enhanced latency and throughput through optimised RAG and hardware acceleration.
Improved accuracy and quality through optimised prompts and model tuning.
Microsoft AI Performance Technology Stack
We leverage Microsoft's enterprise-grade AI optimisation and performance management tools to ensure your AI services achieve peak performance and efficiency.
Let our expert team help you achieve cost reductions, performance improvements, and strategic optimisation roadmap. Contact us today to begin your AI performance optimisation journey.
Start Your Performance Optimisation