How we help software companies

    Product and AI ambition, turned into production-ready SaaS

    Four service areas and one European specialist practice, all built on SaaS and cloud. Below them: four ways to work together, from a single session to ongoing advisory.

    1. The foundation

    SaaS Product & Architecture

    For software companies building, scaling or modernising a SaaS product.

    • Product and technical strategy
    • SaaS architecture and multi-tenancy
    • Platform and application modernisation
    • Cost, pricing and unit economics
    • Productisation and enterprise readiness
    • Onboarding and adoption
    • Architecture reviews
    • AWS and cloud platform decisions

    2. AI Product & Platform

    AI in Software Products

    We help software companies work out what AI should become inside their product, and how to make it production-ready. We focus on the questions between prototype and product.

    • Choosing use cases worth building
    • Build, buy or managed model decisions
    • Model and platform architecture
    • RAG, agents and tool use
    • Data and context architecture
    • Evaluation and human oversight
    • Observability, cost, security and governance
    • Product packaging and monetisation

    3. Engineering teams

    AI-Enabled Software Engineering

    For engineering organisations adopting AI-assisted development responsibly and effectively. We lead these engagements and work with specialist collaborators where deeper implementation expertise is required.

    • AI coding tools: Claude Code, Kiro, Cursor, Cline and similar
    • Developer workflow design
    • Tool and model selection
    • Enterprise controls and AI gateways
    • SDLC integration
    • Code and data processing scope
    • Governance and cost controls
    • Adoption and enablement

    4. Taking it to market

    Technical Partnerships & GTM

    Part of taking a software product to market: what happens after the architecture is built. Includes fractional CTO support where that is the right shape.

    • AWS technical partnership strategy
    • Joint solution design
    • Marketplace and co-sell readiness
    • Solution validation
    • Technical sales narratives
    • Workshops and demos
    • Product launch and enablement

    Specialist practice: European AI Architecture

    AI in Europe: residency, sovereignty and local model choices

    European teams increasingly need to answer not only which model performs best, but where requests are processed, who operates the infrastructure and what evidence they can provide afterwards. We help teams design for those requirements without unnecessarily limiting the product.

    Residency is where data is stored and processed. Sovereignty is who operates the service and whose law applies. They need different architectures, and we keep them apart.

    • EU AI data residency and inference geography
    • Sovereign cloud, including AWS European Sovereign Cloud
    • Local and open-weight models
    • US-provider vs EU-provider architecture choices
    • Model routing and enforcement
    • Evidence and auditability
    • Developer AI that meets a residency requirement
    • Local and private AI architectures

    Ways to work together

    How engagements actually run

    Each one ends with something concrete you can use.

    Architecture / product working session

    For a defined decision that needs experienced outside input.

    • | Should we introduce AI into this product?
    • | Which model or platform should we choose?
    • | How should we structure the next SaaS architecture?
    • | Can this workload stay in the EU?
    • | Claude Code, Kiro or Cursor?
    • | Should this become a Marketplace product?

    You get: A decision, options, risks and recommended next steps.

    Assessment

    A short, focused engagement, usually one to three weeks.

    • | AI Product Assessment
    • | SaaS Architecture Review
    • | AI Development Readiness Review
    • | EU AI Residency Assessment
    • | Cloud Cost and Unit Economics Review
    • | AWS Partnership Readiness Review

    You get: Current-state findings, options, priorities and an actionable roadmap.

    Design & implementation

    For teams that know the direction and need help getting it into production, alongside your team and selected specialist collaborators.

    • | Architecture
    • | Prototypes
    • | Production implementation
    • | IAM and governance controls
    • | Evaluation frameworks
    • | Cloud infrastructure, engineering workflows and runbooks

    You get: Working systems your team can run, with the documentation to operate them.

    Fractional / embedded advisory

    For founders, CTOs, product and engineering leaders who need ongoing senior input. Includes fractional CTO where appropriate.

    • | Product and technical decisions
    • | Architecture governance
    • | AI roadmap
    • | Engineering priorities
    • | Technical partnerships
    • | Enterprise customer discussions and technical GTM

    You get: Recurring senior involvement in the decisions that shape the product.

    Tell us which decision is in front of you. We also build and run our own products, like SnapUtsav.