AI-DLC consulting services
N-iX helps organizations transition to AI-DLC, where AI acts as an active teammate that also orchestrates the delivery process, bringing people in where their judgment is needed.
Trusted by 160+ companies, with AI adoption measured on real client codebases
From SDLC to AI-DLC with 2,400+ AI-augmented specialists
AI adoption is often limited to isolated tasks, so the time saved in coding is still absorbed by planning, reviews, and other SDLC rituals. N-iX helps organizations close that gap with AI-DLC, the AWS methodology that puts AI at the core of the delivery process, tailored by N-iX to each client’s needs. The methodology is open source and tool-agnostic, so it works with the AI tools our clients already use. Within this approach, AI agents produce requirements, designs, and architecture, work independently where a task is clear, and involve product managers, engineers, and architects in review and final decisions.
Our 2,400 AI-augmented software development specialists provide SDLC-to-AI-DLC transition services for development teams working on both new products and legacy systems, with every result measured against your baseline. As an AWS Premier Tier Services Partner, N-iX was among the early adopters of the approach across our internal workflows and client engagements. Our AI-DLC consulting services adapt the AWS methodology to each organization instead of applying an off-the-shelf approach. We combine over two decades of software engineering experience with the APEX framework for evidence-based adoption and productivity gains verified on real client codebases.
24+
years of industry experience
200+
Claude certifications held by N-iX experts
>95%
time saved on piloted workflows through the APEX framework
AI-augmented development addresses coding blockers. AI-DLC implementation solves the rest.
AI gains lost between coding and release
AI accelerates coding, but planning, handoffs, and approvals keep their pace, so features reach customers at nearly the same time.
Our solution:
Our AI-DLC adoption services bring AI not only into coding, but also into how teams plan, decide, and release. AI orchestrates the delivery process: it brings plans and artifacts to people where review matters, continues independently where a task is clear, and records each decision, so requirements stay traceable.
Gaps between business goals and delivered software
AI tools fill unclear requirements with their own assumptions, so delivered solutions may not meet business objectives and corrections may come late, when they cost the most.
Our solution:
Our AI-driven development lifecycle services emphasize alignment before execution. While AI drafts a detailed work plan and actively asks questions wherever context is missing, business and technical stakeholders review both before any work begins.
Incomplete system context for AI tools
AI tools such as Claude Code, GitHub Copilot, and Cursor reflect the context they are given. In large existing systems, that context is often undocumented or scattered, so a minor change can affect unrelated parts of the system.
Our solution:
N-iX AI-driven development lifecycle consulting covers both new solution builds as well as modernization projects. For existing systems, AI-DLC makes context-building the first stage: AI documents structure and business rules, your experts confirm them, and the record is carried through every later phase.
Our AI-driven development lifecycle services
AI-DLC consulting services
- Delivery performance baseline and KPI framework
- AI-DLC readiness and maturity assessment
- Use-case prioritization and path selection
- Target operating model
- Risk, compliance, and governance requirements
- Roadmap and business case
AI-DLC pilot
- Pilot scope and success criteria
- Baseline estimate on the current process
- AI-DLC delivery of the selected scope
- Pilot evaluation and scaling recommendation
AI-DLC implementation services
- AI-first requirements elaboration and unit-of-work planning
- AI-led design, implementation, and testing with human approval gates
- Release and deployment automation
- Production monitoring and feedback loop
- Project knowledge repository
Legacy modernization with AI-DLC
- AI-led system analysis and business rule documentation
- Business rule validation with domain experts
- Modernization scope and unit-of-work decomposition
- AI-led incremental refactoring, language and framework migration
- Release readiness validation and phased rollout
SDLC to AI-DLC transition services
- Transition roadmap and rollout waves
- Operating model and role redesign
- Change management and team training
- AI governance framework: standards, approval gates, and cost controls
- Adoption and delivery performance reporting
Three AI-DLC phases: Adaptive, AI-first methodology applied by N-iX
Each phase adds context for the one that follows. N-iX adapts the steps and the pace to each project, from hours or days to weeks, depending on project complexity, stakeholder availability, and the engagement model.
APEX—the structured path from AI adoption to AI-DLC
APEX (Assess, Pilot, Expand, eXcel) is a proprietary N-iX framework for evidence-based AI adoption. Every phase ends at a measurable evidence gate, so no initiative scales until the numbers justify it. For teams that reach the required maturity level through APEX, the path continues into AI-DLC.
91%
AI adoption at scale
+27%
lift in engineering velocity, proven on production code
85%
time saved on legacy reverse engineering
Greg Svitak
Greg Svitak
Proven AI adoption results: Our clients’ success stories
When AI-DLC is not the right fit
AI-DLC is built for production-grade systems and collaborative teams. As an experienced engineering partner that can help you transition to AI-DLC, N-iX conducts a readiness assessment before any pilot and recommends a different starting point when needed.
Your teams are at an early stage of AI adoption
Teams that already work with AI in daily engineering are best placed to adopt AI-DLC. Where AI use is still limited to individual developers, the shared practices that it relies on are not yet in place.
N-iX recommends: Begin with APEX adoption and move to APEX transformation of your SDLC to AI-DLC.
Your infrastructure and release process is not ready
AI-DLC accelerates every phase of delivery, yet testing and release capacity determines how much of that acceleration reaches customers. Without automation in both, completed work accumulates ahead of deployment, and the overall improvement remains incremental.
N-iX recommends: Bring testing and release automation up to the required level before the AI-DLC pilot starts.
Your organization expects fully autonomous delivery
AI-DLC keeps people validating each plan and each outcome, because business context and accountability for the result remain with them. An expectation that AI will deliver a production system without human involvement is therefore at odds with the method.
N-iX recommends: Use autonomous AI tools for prototypes and short-lived tools, and keep human validation in place for production systems. N-iX can advise on which delivery approach fits each type of system.
Meet our AI-DLC consulting experts
Yaroslav Mota
Director of the N-iX Corporate AI & Efficiency Department
Sergii Netesanyi
Head of Solution Group
Yaroslav Kisylychka
Director, Head of GenAI Value Lab
Pawel Bulowski
Director, Head of AI Consulting
FAQ
AI-DLC (AI-Driven Development Lifecycle) is a methodology introduced by AWS in which AI is a central collaborator in every phase of software delivery. It creates plans, asks clarifying questions, and executes across the software lifecycle, while experts validate required steps and make the critical decisions. AI-DLC runs in three phases: Inception, Construction, and Operation, and each phase builds richer context for the next.
No. It is a methodology, and AWS has released its workflow as open source. As an AI-DLC implementation partner, N-iX configures the workflows in the tools the client already uses.
AI-assisted development speeds up individual tasks inside an existing process. AI-DLC changes the pace of delivery, replacing long sprints and two-week releases with faster, more granular cycles that reach production sooner. It also involves all stakeholders and focuses heavily on the requirements phase.
AI-DLC does not require a single-step replacement of existing workflows. The methodology builds on practices that organizations already use, so adoption proceeds gradually and with limited disruption. N-iX’s AI-DLC adoption services introduce the changes in waves, starting with work cycles of hours or days and joint requirements sessions, while teams continue to deliver.
Yes. AI-DLC is a framework that applies to existing systems of any size and complexity, and it helps deliver modernization faster and at lower cost. Modernization with an AI-DLC delivery partner starts by building context: AI documents the structure and business rules of the current code, and domain experts confirm them before any change begins. The system is then modernized in narrowly scoped steps, so each one stays traceable and easy to review.
Contact us
Briefly outline your project or challenge, and our team will respond within one business day with relevant experience and initial technical insights.
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