Ship AI that ships business outcomes.
Vita Supply's AI practice delivers production systems — not slide decks. From two-week PoCs to enterprise-wide LLM platforms, our engineers own the outcome end to end.
AI Consulting
Discovery, roadmap, and business-case modelling — grounded in what actually ships.
Generative AI
RAG systems, agents, and production LLM pipelines with evaluation harnesses.
Automation
Process automation combining LLMs, structured extraction, and system-of-record integrations.
AI Chatbots
Customer, agent, and internal assistants with guardrails, memory, and analytics.
Knowledge Bases
Enterprise search across documents, tickets, wikis, and CRMs — with citation-first responses.
Business Intelligence
Embedded analytics augmented by natural language, forecasting, and anomaly detection.
Predictive Analytics
Forecasting, churn, and demand models with monitored drift and retraining pipelines.
Prompt Engineering
Prompt libraries, evaluation, and continuous improvement processes for LLM-backed products.
AI Integration
OpenAI, Anthropic, Google, Azure OpenAI, and open-source model routing behind a single interface.
Delivery model
Discover
Two-week engagement mapping use cases, data, and constraints.
Prototype
Working prototype against real data with measurable success criteria.
Productionise
Hardening, evals, observability, guardrails, and rollout.
Operate
Ongoing model, prompt, and data lifecycle management.
Case studies
Retail merchandising AI
Automated catalogue enrichment across 480,000 products, freeing 22 FTE and lifting search conversion by 9%.
Insurance claims triage
LLM-based claims intake reducing average handling time from 14 to 4 minutes across two European markets.
MSP knowledge assistant
Retrieval-augmented assistant answering L1 tickets, deflecting 38% and reducing escalations by 24%.
ROI framework
Every engagement begins with a quantified business case. We model cost, throughput, quality, and risk — and re-baseline against production data at 30, 60, and 90 days.
- Cost per interactiontypically −40 to −70%
- Cycle timetypically −50 to −80%
- Quality (measured)typically +8 to +22%
- Payback period3–9 months