AI Assisted Development

Increase development speed and code quality with AI that fits your development process

We systematically integrate AI into enterprise software development to increase speed, quality and developer efficiency.

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AI Assisted Development turns tools into a structured system

By AI Assisted Development, we mean the structured use of AI-supported tools across the entire software development lifecycle.

This includes code assistants in the IDE, automated test generation, support for documentation and architecture, as well as AI-based analysis of code quality, security and technical debt.

The objective is clear. Not replacement, but measurable productivity gains, higher code quality and more stable delivery.

Business Benefits

  • Reduce development time by up to 35%
  • Higher and more consistent code quality via AI- and human-based reviews
  • Less dependency on individual experts through better documentation
  • Stronger security and compliance alignment
  • More productive, satisfied teams
Market Drivers

Why organisations are investing in AI Assisted Development

Growing time-to-market pressure

Release cycles are getting shorter and expectations are rising. AI helps teams deliver faster without increasing headcount.

Skilled labour shortage and skill gap

Development capacity is limited in many organisations. AI acts as a multiplier for existing teams.

Rising complexity and cost pressure

Cloud-native architectures, microservices and security requirements increase effort. AI helps absorb parts of this complexity.

Technical debt and legacy code

AI-assisted development helps teams reduce technical debt and modernise legacy code faster.

Quality, security and compliance requirements

Regulation such as GDPR and the EU AI Act increases pressure on development processes. AI can support traceability and validation.

Employer branding & developer satisfaction

Modern AI tooling is a factor in attracting and retaining talent. Teams work faster and with more satisfaction.

The challenge is not whether you use AI, but how you use it

AI introduces real efficiency gains. Without structure, it also introduces new risks.

The Challenge

Challenges using AI Assisted Development

AI Assisted Development is a very promising evolution, but you need the right partner to mitigate risks and unleash the full potential.

Tool selection & architecture

Cloud, on premises or hybrid setups, model selection and integration into IDEs and CI/CD pipelines all require clear decisions.

Limited context understanding

Many tools only understand limited parts of the codebase. Multi-file edits and architectural changes are still challenging.

Quality and reliability of output

AI generated code can look correct but behave incorrectly. Reviews and validation are still required.

Security implications

AI tools can introduce vulnerabilities or expose sensitive data. New attack surfaces emerge through integrations.

Data protection / GDPR / EU AI Act

Handling of personal data and tool logs must meet regulatory requirements. AI use cases need to be classified and governed.

License & copyright risks

Generated code can violate open-source licences if not controlled. Clear policies and scanners are required.

Knowledge erosion & overreliance

Developers risk relying too heavily on generated outputs. Deep understanding must remain.

New skill requirements

Prompting, tool management and AI security become core competencies. Teams need to build these capabilities.

Initial drop in productivity

Teams typically need around 11 weeks to adapt to new workflows. Without guidance, efficiency initially decreases.

The good news: These challenges can be managed with the right structure and approach

A structured approach turns AI from risk into measurable impact.

Our Solution

AI Assisted Development Assessment

In the AI Assisted Development Assessment, we work directly with the customer’s development teams and analyse how they operate today.

The goal is to reliably identify:

  • Where the use of AI in the development process creates the greatest added value first
  • How mature teams and the organisation already are regarding AI-supported development
  • Which business, technical and organisational requirements must be met for successful adoption

Objectives of the Assessment:

  • Identification of quick wins and prioritised use cases for AI Assisted Development
  • Assessment of the AI readiness of development teams (skills, tools, processes, governance)
  • Understanding of the existing toolchain, architecture and framework conditions (security, compliance, data)
  • Joint development and evaluation of AI use cases (e.g. code completion, test generation, bug fixing, documentation, legacy modernisation) based on benefit, effort and risk
  • Derivation of a high-level concept as the basis for the jointly defined target state

Duration

The duration of the assessment depends on the size and complexity of the development organisation and typically ranges between 2 days (smaller teams / focused scope) and 10 days (larger or multiple development teams, complex environments). Afterwards, the concept document is created. We currently estimate 4–20 days for this (approximately twice the analysis effort).

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Results (Deliverables)

As the outcome of the package, we create a high-level concept that includes, among other things:

  • What is working well, what is not working well, where the challenges are
  • What requirements the customer has (e.g. regarding performance or compliance)
  • Summary of the key findings regarding processes, toolchain, and AI readiness
  • Prioritised list of suitable entry use cases including assessment of benefits and risks
  • Initial recommendations on architecture and tooling options (e.g. cloud vs. on-prem, model classes, integration points)
  • Identified areas for action in organisation, skills, governance, and security

This high-level concept then serves as the basis for jointly defining the target state of the customer’s AI Assisted Development strategy.

Price List

Price ListPrice
Up to 19 developers
Price
€3,990
20 to 39 developers
Price
€6,990
40 to 59 developers
Price
€9,990
60+ developers
Price
Price on request
Tech Deep Dive

AI improves core development capabilities

AI Assisted Development improves core development capabilities across speed, quality and security.

Productivity increase

• Automation of repetitive tasks
• Write code faster
• Increased efficiency up to 42%!

Improved code quality

• AI can detect bugs early and suggest best practices.
• Automated code reviews and security checks reduce error rates.

Faster time to market

• AI-supported automation enables faster deployments
• Time-consuming tasks are reduced

Test and documentation automation

• Automated creation of documentation and unit tests
• Software and documentation quality is improved

Reduced maintenance effort

• Improve code structure
• Lower long-term costs

Increased security

• Detect security vulnerabilities and provide developers with remediation suggestions
• Improved protection against common attacks

Your partner of choice

We make AI work in real environments

Many years of experience

We have been working intensively with AI in general and AI in software development for years.

Successfully completed projects

Numerous companies are already benefiting from our AI expertise. We also make success measurable.

End-to-end approach to AI integration

We do not just develop solutions, but a comprehensive strategy for sustainable AI usage.

Independent consulting

We help select the best AI tools – without being tied to specific vendors.

Strong expertise in compliance

Experience in highly regulated companies with the highest requirements for confidentiality and protection of intellectual property.

Turn AI into real productivity

Pave the way for a secure future for your application by having us at evoila modernise your application.

Free consultation

Want to explore where AI creates value for your teams first? Let’s connect!

FAQs

Commonly asked questions about AI Assisted Development