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AI-NATIVE SDLC ASSESSMENT

You’ve invested in AI, so why is the ROI not visible yet?

In a 30-45 minute call, we identify where value is stuck and guide you toward an AI-native operating model.

How it works
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How to close the AI ROI gap

You've deployed AI coding assistants. But your delivery metrics haven’t moved.

Move beyond isolated AI usage to a governed, agentic software development lifecycle (SDLC), so AI improves system-wide velocity, not just individual productivity.

In a focused 30-45 minute session with a senior Eficode advisor, we show where your software organization stands on AI adoption and plan your next steps.

What you get from the assessment

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AI adoption pattern identified

We map where and how AI tools are being used across your SDLC.
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Primary delivery bottleneck revealed

We identify which SDLC stage is limiting your throughput.
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Transformation opportunity mapped

We guide you to the fastest measurable improvement with AI.
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An AI ROI executive snapshot

Get a one-page summary ready for your leadership team.

Limited free sessions available - See immediate value

Most AI rollouts stall at the system level

Many enterprises have adopted GitHub Copilot, Atlassian Rovo, or similar tools. Yet:

  • Lead time to change remains flat
  • PR queues continue to grow
  • Testing and compliance are still manual
  • Senior engineers remain approval bottlenecks.

This is the AI ROI gap: Individual productivity improves, but system performance does not.

AI speeds up developers. The operating model still slows them down.

 

How the assessment works

Step 1:
Assessment call

We ask you questions to evaluate where delivery value is stuck, such as:

  • PR review latency
  • Manual test validation
  • Compliance documentation
  • Release governance
  • Gaps between eg. Jira and GitHub  or GitLab

We focus on the flow of value across your SDLC—not tool features.

Step 2:
Al ROI executive snapshot

Right after the call, you receive a one-page AI ROI executive snapshot that gives you a data-driven assessment of your AI maturity.

Fast. Focused. Actionable.

Step 3:
Take back control

Based on this assessment, you start building your plan for a governed AI-native Software Development Lifecycle across your organization.

With our recommendations, you'll know how to demonstrate measurable ROI quickly.

Limited sessions available - See immediate value

Who the assessment is best suited for

Typical roles

  • CTO
  • CIO
  • VP of engineering
  • Head of platform/DevOps
  • CISO

Organizations that

  • Have 250–1,000 software developers
  • Operate complex software delivery. environments.
  • Already use AI tools across development teams.
  • Want a structured strategy for AI in engineering.

Industries we work in

  • Finance
  • Telecoms and media
  • Healthcare
  • Entreprise software
  • Defense and aerospace
  • Energy and utilities

Results from our
customers

We help enterprises across the globe to Build your AI-native software organization safely, profitably, and at scale. And it gets results.

40% fewer apps: Daimler Truck consolidated their DevOps toolchain.

50% fewer support tickets: Supercell used AI to automated manual processes.

AI literacy increased: Liana Technologies strengthened collaboration.

EFICODE AS A PARTNER

20+ years of expertise in the software development lifecycle

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We'll guide you with our AI expertise and decades of experience in DevOps and cloud.

Redefine how your software is built, and governed

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We partner with all the leading technology providers in software development to offer you the best solution.

Make the most of the top technologies

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We'll improve your software development capabilities across the entire lifecycle through practices, platforms, and governance.

Own your software lifecycle

Read how we help our clients

AI tools alone do not transform software delivery. Engineering workflows do.

It’s about strategy, customization, training, and building a long-term plan that considers the needs of all your stakeholders.

The assessment shows you exactly where to act.

Limited sessions available - See immediate value

FAQs

No. The AI-native SDLC assessment is a structured working session focused on understanding your current AI adoption and delivery workflow.

Our goal is to classify your AI failure mode, identify where value is getting stuck in your software development lifecycle, and recommend next steps. While we may recommend a follow-up engagement if there is a strong fit, the session itself is designed to deliver immediate value.

You receive a one-page AI ROI executive snapshot, which includes:

  • Your organization’s AI failure mode classification 
  • Identification of the primary ROI bottleneck in your SDLC
  • A recommendation of next steps

The snapshot is delivered immediately after the session.

The session is most valuable when attended by leaders responsible for engineering delivery, such as:

  • CIO or CTO
  • VP of Engineering
  • Head of Platform Engineering
  • DevOps or DevEx leaders

Having one person familiar with your development workflow and tooling is usually sufficient.

We've delivered DevOps transformations for enterprises across Europe and the US for 20+ years and helped many companies with their AI adoption. This assessment is based on our data and experience.

An AI-native software development lifecycle (SDLC) integrates AI directly into development workflows rather than treating it as a standalone tool. Instead of only assisting individual developers with code generation, AI is used across the entire delivery pipeline to automate repetitive tasks, provide context-aware insights, and reduce manual bottlenecks.

Read our guide on the topic

The AI ROI gap refers to the difference between the productivity gains promised by AI tools and the actual improvements seen in software delivery performance.

Many organizations adopt AI tools for developers—such as coding assistants or AI-based documentation tools—expecting faster releases and improved engineering efficiency. However, if the broader development lifecycle still relies on manual reviews, fragmented tools, and slow governance processes, the overall impact on delivery metrics can be limited.

In practice, this means organizations invest in AI but see little change in key indicators such as lead time to change, cycle time, or deployment frequency.

Closing the AI ROI gap requires shifting from isolated AI tools to an integrated approach where AI supports end-to-end development workflows, helping teams reduce manual toil and improve the flow of work through the SDLC.

During the call, we capture key inputs about your development workflow and AI adoption.

Our dedicated AI agent generates a structured executive summary. The summary is then finalized and formatted into your one-page executive summary immediately after the call.

This ensures you leave with a clear outcome rather than waiting days for a follow-up report.

That's great. This assessment is not just for beginners. It's targeted at all companies that are struggling to achieve true ROI from AI in their software development.

Yes. The assessment and executive summary are offered at no cost for qualifying organizations.

We limit the number of sessions to ensure each one receives proper attention from our engineering and AI specialists.

Your first step to close the AI ROI gap

Get a clear executive snapshot of your AI in SDLC maturity and the fastest path to measurable improvement.

 

Limited free sessions available - See immediate value