GenAI adoption program for engineering teams
ByEngX
Integrate a generative AI toolset into your product development processes to boost team performance.
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A representative from the Engineering Excellence team will consult you on the best approach and provide a quote. No commitment.
  • 12 weeks
    program duration
  • 15–50%
    productivity gain
  • 40+

    programs implemented

  • 10+

    AI platforms in toolkit

Key areas where GenAI can boost your teamThe three main directions are software development, quality engineering, and business analysis.
checkmarkGenerating and maintaining code

Generating, explaining, refactoring, or modifying code fragments. Creating project and source code documentation. Performing task research.

checkmarkImplementing third-party integrations

API integration of services: payment gateways, messaging and cloud services, and more. Integration of systems, tools, and components, such as database management systems.

checkmarkCreating test cases

Generating tests automatically based on requirements or source code. Generating user acceptance tests, step and feature files.

checkmarkAutomating and updating tests

Generating test scripts for automated unit, integration, and system-level testing. Migrating existing test scripts between languages, frameworks, or platforms. Updating test scripts.

checkmarkEliciting and analyzing requirements

Preparing summaries, stakeholder surveys, refinement sessions, and brainstorming activities. Creating functional and non-functional requirements, acceptance criteria.

checkmarkRealizing application or business logic

Implementing complex calculations for financial modeling or data analysis. Implementing transformation logic for data conversion.

Meet the GenAI consulting teamThe GenAI program has over 50 experts involved in the training and coaching process. Here are just some of them:
How EngX experts aid your AI productivity
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Analyze metrics
Determine baseline AI use metrics: engagement, proficiency, productivity. Introduce interactive dashboards to track AI adoption progress.
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Set up generative AI toolset
Gather team feedback, create a library of current AI uses. Select and set up AI toolkit for the project considering its needs and restrictions.
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Coach & train employees
Engage teams to build AI-driven culture. Create a curated set of learning materials. Conduct generative AI workshops and hands-on training.
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Adjust delivery pipeline model
Visualize the delivery pipeline to see which areas could benefit from the adoption of AI tools. Adjust the pipeline to facilitate the use of those tools.
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Conduct ROI assessment
Make sure that the adoption of AI-assisted engineering translates into tangible business benefits and cost savings.
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Create long-term playbook
Compile a roadmap for the organization to continue harnessing the potential of AI-assisted engineering in the long run.
Rollout timeline — 12 weeksSome stages of the rollout plan overlap. Upon request, the pilot solution can be scaled to other teams within the same organization.
01Kick-offSelecting a toolkit, obtaining licenses, identifying teams to participate, conducting kick-off meetings.
02Week 1–2 • Setting up a baselineConfiguring selected tools, establishing baseline metrics and GenAI adoption level, identifying existing GenAI use cases.
03Week 2–4 • TrainingDistributing self-study materials. Online workshops with teams: software engineers, business analysts, quality engineers, etc.
04Week 3–12 • Generative AI coachingHands-on coaching on Generative AI for SDLC. Weekly AI use case reviews, weekly or real-time metrics tracking and analysis.
05Week 11–12 • Summary and reportRegression analysis of results and final performance report. Preparation for scaling the solution if requested by the customer.
Success stories
Get a quote for your team
A representative from the Engineering Excellence team will consult you on the best approach and provide a quote. No commitment.
Frequently asked questions
What is EngX?
What AI platforms are available under this program?
What are the roles involved in program rollout and coaching?
What metrics are used to measure GenAI adoption impact?
How are security issues handled?
Does GenAI improve cycle time, and how does it differ from non-AI-assisted projects?
Is the software EngX uses compliant with the GDPR, HIPAA, and other international standards?