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Software Architecture & AI Readiness

Make the big technical decisions once, and make them well.

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Overview

Good architecture lets a product grow without constant rewrites. We review existing systems, design new ones and plan modernisation step by step. Our AI readiness assessment looks at your data, systems, security and team, and gives you a ranked list of AI use cases with a realistic plan to deliver them.

Challenges we solve

  • Systems that cannot scale without a costly rewrite
  • Legacy platforms that block new features and AI adoption
  • Data spread across silos with no clear owner
  • Unclear where AI would actually pay off

What we deliver

Architecture & AI Readiness capabilities

Architecture review

A written assessment of scalability, reliability, security and cost, with prioritised recommendations.

Cloud-native and event-driven design

Modular services, event streams and APIs designed for the scale you actually expect.

Legacy modernisation

Step-by-step migration that keeps the business running, using patterns such as the strangler fig.

AI readiness assessment

Data, systems, governance and skills review with ranked AI use cases and a delivery roadmap.

Security and compliance by design

Threat modelling, least-privilege access and data protection built into the design.

Process

How we work

  1. 01

    Understand

    Business goals, constraints and the current landscape.

  2. 02

    Assess

    Interviews, code and infrastructure review.

  3. 03

    Design

    Target architecture, decision records and a roadmap.

  4. 04

    Guide

    Support your team through delivery.

FAQ

Architecture & AI Readiness: common questions

What do we get from an AI readiness assessment?

A short report covering data quality, systems, security and skills, a ranked list of AI use cases with expected value and effort, and a 90-day plan.

How long does an architecture review take?

Typically two to four weeks, depending on the size of the system.

Related

Services that work well together

DevOps, Cloud & MLOps

CI/CD, infrastructure as code, Kubernetes, observability, FinOps and MLOps/LLMOps for teams running AI in production.

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SaaS & Product Engineering

Product strategy, UX, full-stack web and mobile engineering and long-term maintenance for SaaS and digital products.

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Generative AI & LLM Development

RAG systems, AI copilots and LLM-powered product features, built on your data and shipped with evaluation and monitoring.

Learn more

Ready to talk about architecture & ai readiness?

Tell us about it. In a free 30-minute call we will tell you honestly what AI can do, what it costs and how fast you can see results.

Book a consultation hello@invigosol.com