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

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: AI 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.

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.

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

Is this a sales call?

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.

What do we actually get at the end?

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.

Who should attend the call?

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.

Why should we trust Eficode?

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.

What does an AI-native SDLC look like?

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

What is the AI ROI gap in software development?

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.

How is the executive snapshot created so quickly?

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.

What if we're already using Al across the organization?

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.

Is the assessment really complimentary?

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.