Agentic Software Delivery

From idea to execution. Nimble relies on three pillars: its AI Center of Excellence, Agentic Development Lifecycle (ADLC) and Agentic Factory, to transform technical foundations, accelerate software delivery and improve quality and outcomes.

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How Agentic Software Delivery Works

Three connected elements make agentic delivery possible.

Expertise and foundationAI Center of Excellence: Nimble’s AI Center of Excellence establishes the practices behind our AI transformation playbook: how people work, how processes run, and how teams deliver, with engineering standards and architectural guidance that support secure, reliable AI adoption.
The delivery methodologyADLC: Nimble’s Agentic Development Lifecycle connects requirements, architecture, specifications, execution, testing, validation and release into one coordinated process. Defined standards, guardrails and feedback loops help teams maintain quality, traceability and predictable outcomes.
The execution engineAgentic Factory: The Factory’s specialized AI agents take approved specs through implementation, testing and validation. It draws on project knowledge, code and engineering standards, runs automated quality and security checks, and prepares results for review and release.

AI in Action

Lexipol Agentic Software Delivery

80%of work items reach a merged pull request

Faster bug resolution with an agentic development workflow

Nimble engineered a workflow that combines automated implementation with engineering oversight. 80% of work items reached merged pull requests.

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Cognisity AI & Product Engineering

10xROI delivered within six months of launch

An AI-enabled SaaS platform brought to production in 20 weeks

Nimble built an explainable AI property-assessment platform from a market thesis and no code, delivering a production-grade SaaS product in 20 weeks.

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Admissions GPS AI & Product Engineering

<4 monthsprototype to production-ready product

From founder-built AI prototype to production in under four months

Nimble hardened an AI college fit-planning prototype for reliability, scalability and data protection, using agentic development to accelerate the path to launch.

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