Skip to content
Elyadata
All engagements
04Journey engagement

Solution Blueprint

Design the system before you build it. De-risk on paper, not in production.

We translate business ambition into a buildable architecture covering workflows, data, models, integration, security, evaluation and governance. The objective is to de-risk delivery before implementation starts. By the time engineering begins sprint one, the unknowns have been resolved on paper, not on the production cluster.

Format
Architecture design · Backlog creation · Data flow modeling · Vendor selection
Team
1 Engagement Partner · 1 Solution Architect · 1 Data Architect · 1 ML/AI Engineer
Best for

Organizations preparing to launch an AI assistant, RAG platform, agentic workflow, decision-support system or data-driven product.

Questions teams bring usbefore they pick this engagement
  1. ENTRY 001

    Which architecture fits our operational and regulatory constraints?

  2. ENTRY 002

    Should models be managed, self-hosted or hybrid?

  3. ENTRY 003

    How do we evaluate reliability and govern outputs?

  4. ENTRY 004

    How do we integrate with existing systems without breaking them?

What we do
  • 01

    Functional and technical architecture for the target solution

  • 02

    RAG and agentic workflow design

  • 03

    Data architecture and integration design

  • 04

    Model strategy: managed, self-hosted, open-source or hybrid

  • 05

    Security, privacy and access-control principles

  • 06

    Evaluation and observability strategy

  • 07

    Cost, latency and scalability assessment

  • 08

    Sprint-ready technical backlog and delivery planning

What you walk away withtangible deliverables from this engagement

  • High-level and low-level solution blueprint with target architecture

  • Data flows and system interaction diagrams

  • Model and infrastructure recommendations

  • Security and governance principles

  • Evaluation, monitoring and quality-control approach

  • Sprint-ready technical backlog and implementation roadmap

Outcome

Engineering can start on day one, no surprises, no assumptions. A robust architecture connecting business goals, IT constraints, data reality and AI capabilities.

Connected case study

BNP Paribas Real Estate, a modern cloud platform was designed first as a target architecture before refactoring began.

What pairs with thisengagements often combined with this one
  1. 03

    Roadmap & Use Case Design

    Find the use cases worth investing in. Cut the rest.

  2. 05

    Production Build & Operate

    Demos don't move businesses. Systems do.

  3. B

    Data Foundation & Human-in-the-Loop AI

    Build the data foundation required for reliable AI systems.

next step

30 minutes is enough to know whether we're the right fit.

We'll come prepared, ask hard questions, and tell you honestly if you should be talking to someone else instead.

Book a 30-min discovery