Speedflow™: we deliver enterprise-grade software in weeks, not months 

Speedflow™ is Speednet’s proprietary AI-assisted engineering framework that accelerates the entire software development lifecycle (SDLC). It enables enterprise-grade products to be delivered in weeks instead of months, with higher quality, stronger compliance, and significantly lower cost. 

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Why is AI-assisted software development not scalable and not delivering the expected ROI? 

    • Chaotic AI adoption

      AI adoption is often chaotic and ungoverned, which consequently leads to inconsistent, buggy, and non-compliant outcomes. 

    • Lack of business and architectural context

      AI output lacks business and architectural context, creating technical debt rather than accelerating delivery. 

    • Problems with scaling and return on investment

      Teams struggle to prove ROI or scale AI usage beyond local IDE productivity hacks.

    • Regulatory risks (AI Act, DORA, GDPR)

      Compliance and regulatory risks (AI Act, DORA, GDPR) arise from uncontrolled prompt inputs and external model usage. 

    • Stagnation and team overload

      Senior engineers remain overloaded, onboarding is slow, and delivery velocity plateaus despite AI “usage”.

    Speedflow™ – a context-driven, framework-based delivery engine 

    Speedflow™ replaces ad-hoc and chaotic AI usage with an enterprise-grade methodology. In this model, AI is integrated as part of the delivery process, not just as a tool. It is a proprietary platform used at Speednet to accelerate delivery velocity with full control, compliance and contextual intelligence. 

    What to see Speeflow in action? 

    Schedule a meeting

    How Speedflow works: a tool based on context and control 

    • Context layer & knowledge ingestion

      AI operates with full awareness of code, architecture, tickets, business rules, ADRs, and standards.

    • Secure sandbox environment

      No risk of uncontrolled external data exposure or rogue package imports.

    • Proprietary system prompts (IP)

      The behavioural DNA of Speednet’s best developers is codified and reusable across agents.

    • AI swarm orchestration (virtual teams)

      Ability to spawn role-specific AI agents (e.g. back-end dev, documentation specialist, UX mock-up generator).

    • Human-in-the-loop oversight

      AI does the heavy lifting under continuous expert guidance to ensure quality and architectural integrity.

    • End-to-end integration

      Works across Jira, Git, CI/CD, Confluence, Redmine, Slack, Teams and more.

    • Not vendor-dependent

      The solution is model-agnostic (including Claude, GPT, or Copilot), which eliminates vendor lock-in.

    • Tested internally in R&D

      We use it to deliver faster ourselves before applying it for clients.

    What results do we achieve with Speedflow? 

      • 3–5× faster product delivery

        What typically takes months is completed in weeks.

      • Features up to 60% faster

        Achieved through automation, task execution and review acceleration.

      • 1.5–2× higher throughput

        More business value delivered per iteration with the same team size.

      • 30–50% fewer defects

        Thanks to intelligent code reviews and AI-generated tests.

      • 50% faster onboarding

        New developers become productive in weeks instead of months due to contextual AI assistance.

      • Lower delivery cost

        We achieve development cost reduction with repetitive tasks offloaded to AI.

      • Compliance-ready audits

        Compliance-ready audit trails aligned to AI Act, DORA and GDPR expectations.

      Let’s talk about how we can make your next project 3x faster 

      If you’re looking for a way to accelerate software development – without compromising on quality and compliance – schedule a demo session. 

      We’ll show you how Speedflow can deliver the expected ROI for your project by delivering it 3x faster. 

      Michał Grela
      Michał Grela Head of Growth
      michal.grela@speednetsoftware.com +48 600 023 843

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