DataReady for AI — AI Data Infrastructure

AI initiatives lose momentum when data work drags on for months, burning developer capacity and delaying customer value. DataReady for AI is a focused 4–8 week engagement that transforms scattered AWS data into AI-ready infrastructure for cloud-native SaaS companies — so you can prove your data is fit for AI before you invest in feature development.

We design focused data architecture, build production-grade ingestion and transformation pipelines, deploy AI-specific storage (vector databases for RAG, feature stores for ML, enriched event streams for agents), and deliver working infrastructure validated with real AI queries and processing.

Phase 1 — Data Discovery & Architecture (3–5 days) Our AWS-certified Architects map your existing AWS data infrastructure, assess data quality and readiness, and design a focused data architecture purposefully scoped to your immediate AI goals. You receive an architecture diagram, a prioritised action plan, a data readiness assessment, and a risk and dependency log — with right-sized cost modelling and secure, compliant design.

Phase 2 — Data & AI Foundations (1.5–2 weeks) We build production-grade infrastructure: data ingestion pipelines (Glue, Lambda, Kinesis), AI-specific storage (OpenSearch/pgvector for vectors, SageMaker/DynamoDB for features), CI/CD pipelines deployed via Infrastructure as Code, and infrastructure monitoring dashboards — with cost-optimised patterns from day one.

Phase 3 — Transformation & AI Proof of Concept (1.5–3 weeks) We transform raw data into AI-ready formats — embeddings, features, enriched events — populate AI storage, implement automated quality monitoring, and validate end-to-end with real queries. You see working AI integration with measurable performance metrics before committing to feature development.

Phase 4 — Handover Documentation, extension patterns for additional AI use cases, and knowledge transfer so your team can maintain and extend the infrastructure. Clear transition path to AI Sprint for complete feature delivery, or to CloudSure for ongoing managed support.

DataReady for AI de-risks your AI investment by proving your data foundations work before you build on them.

Working infrastructure in weeks, not months Production-grade data infrastructure operational in 4–8 weeks with validation that proves your data is fit for AI queries and processing. No months of planning — working code, working pipelines, working proof.

Focus and momentum with an eye on business impact Based on your chosen AI use case, we design a focused AWS data architecture — purposefully scoped to your immediate AI goals while building on solid Well-Architected foundations with a right-sized cost model and secure, compliant design.

Your team stays focused on what makes your business unique We handle the data infrastructure complexity so your developers can build AI features. Your strategic capacity gets redirected to innovation and customer value — not firefighting data problems.

Knowledge transfer that builds lasting capability Your team learns to maintain and extend the infrastructure with documented patterns showing how to adapt for additional AI use cases. We don't just deliver and disappear — we ensure you're confident and capable, with optional CloudSure management available if you prefer ongoing support.