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Microsoft Agentic Accelerator

Meet NeeliMAX for accelerated Microsoft Deployments.

Accelerate enterprise AI delivery through a spec-driven autonomous AI workforce.

Exponentially fasterEnterprise GradeLower Cost

50%

Faster time to production

95%

Higher solution quality

60%

Faster modernization

30%

Lower delivery cost

The Business Case

The Microsoft AI factory. Maximum speed. Maximum ROI

NeeliMAX accelerates Microsoft solution delivery across Power Platform, Fabric, Azure, and Copilot Studio — shipping enterprise-grade applications faster, at lower cost, and with uncompromising quality.

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Automation Factory

Agentic workflows, LLM-powered document intelligence, and intelligent process automation, eliminating manual effort across enterprise operations.

Modernisation Factory

Legacy application migration and modernization to Power Apps, Power Automate, and Rayfin Fabric apps for business agility.

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AI Agents Factory

Governed, autonomous AI agents on Copilot Studio and Azure AI Foundry- automating knowledge work and complex decisions.

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Analytics Factory

Data pipelines, semantic models, and Power BI dashboards on Microsoft Fabric — turning enterprise data into business decisions.

The Agentic SDLC

Every stage is owned and executed by a purpose-built AI agent.

NeeliMAX uses spec-driven agentic orchestration to move software delivery from requirements to deployment through purpose-built AI specialists, structured outputs, and human approval gates.Human experts govern, review, and approve—not author the deliverables.

1. AI Business Analyst

Functional Requirements Document

The AI Business Analyst analyzes business processes, existing applications, and stakeholder inputs to create a structured Functional Requirements Document. It identifies business rules, dependencies, gaps, and assumptions, transforming unstructured information into an implementation-ready specification.

The generated specification becomes the governed input for every subsequent AI specialist, ensuring the entire delivery lifecycle is driven by approved requirements rather than prompts.

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2. AI Product Owner

User Stories & Product Backlog

The AI Product Owner converts approved business requirements into prioritized epics, user stories, acceptance criteria, and delivery backlogs. Every work item remains fully traceable to the original specification while maintaining business priorities and dependencies.

The resulting backlog provides structured inputs for the AI Solution Architect, enabling predictable and governed progression through the SDLC.

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3. AI Solution Architect

Solution Architecture & Technical Design

The AI Solution Architect transforms approved requirements into an enterprise-ready technical architecture aligned with Microsoft technologies and organizational standards. It defines application components, integrations, security boundaries, data models, and implementation patterns.

The approved architecture serves as the governed blueprint used directly by the AI Developer to generate production-ready solutions.

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4. AI Developer

Enterprise Solution Build

The AI Developer generates production-ready Power App Code Apps, Copilot Studio AI Agents, Rayfin backend Fabric Apps, Power BI Dashboards, APIs, and integrations directly from approved specifications and architecture.

Every generated solution is structured, editable, version controlled, and optimized for enterprise deployment while remaining fully aligned to the approved design.

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5. AI QA Engineer

Test Validation & Quality Assurance

The AI QA Engineer generates comprehensive test scenarios, executes validation, and produces quality reports directly from approved requirements. Functional behaviour, integrations, security, accessibility, and performance are continuously verified throughout development.

Structured validation reports ensure every deliverable satisfies quality standards before progressing to deployment.

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6. AI DevOps Engineer

Deployment Pipeline & Release Management

The AI DevOps Engineer prepares deployment pipelines, release packages, environment configurations, and release documentation required for enterprise deployment. It validates deployment readiness and generates complete audit trails, release notes, and environment-specific configurations.

Approved releases progress through governed deployment stages, providing repeatable, secure, and enterprise-ready software delivery.

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Enterprise Architecture

Built for enterprise AI delivery. Designed for secure execution.

NeeliMAX orchestrates the entire Agentic SDLC while keeping your applications, source code, data, and deployment pipelines securely within your Microsoft environment. AI specialists coordinate delivery through governed workflows, enabling rapid software development without compromising enterprise security, compliance, or operational control.

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THE PROOF OF VALUE

Every AI specialist owns a
stage. Every stage delivers enterprise-ready output.

NeeliAPT uses spec-driven agentic orchestration to move work from requirements to deployment through purpose-built AI specialists, structured outputs, and human approval gates.

Microsoft Power Platform Copilot StudioAI-native SDLC Proven ROI
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Build for the Future

Build AI-native delivery capability, not a one-time project.

NeeliMAX transfers more than solutions — we build the in-house AI-native teams and delivery practices that give your organisation the capacity to design, build, and scale intelligent applications on your own.

AI-native CoE Enablement

AI-native CoE Enablement

Embed agentic delivery practices inside your organisation. We train client teams on AI-native development, agentic workflows, frameworks, and change management — building internal capability that outlasts the engagement.

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Co-development Sprints

Learn by building. Our co-development sprints embed your teams inside live delivery — so every feature shipped is also a skill earned, compounding both capability and output.

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Governance by
Design

Enterprise-grade from day one. NeeliMAX embeds ALM, Dev/Test/Prod promotion, approval gates, documentation standards, and operating practices into every delivery — so governance is never an afterthought.

Build for the Future

Build AI-native delivery capability, not a one-time project.

NeeliMAX transfers more than solutions — we build the in-house AI-native teams and delivery practices that give your organisation the capacity to design, build, and scale intelligent applications on your own.

AI-native CoE Enablement

AI-native CoE Enablement

Embed agentic delivery practices inside your organisation. We train client teams on AI-native development, agentic workflows, frameworks, and change management — building internal capability that outlasts the engagement.

Faster in-house delivery

Build internal confidence to deliver features in weeks, not months.

Co-development Sprints

Co-development Sprints

Learn by building. Our co-development sprints embed your teams inside live delivery — so every feature shipped is also a skill earned, compounding both capability and output.

Compounding ROI

Reuse the same factory patterns across apps, agents and analytics use cases.

Governance by Design

Governance by Design

Enterprise-grade from day one. NeeliMAX embeds ALM, Dev/Test/Prod promotion, approval gates, documentation standards, and operating practices into every delivery — so governance is never an afterthought.

Skills retained in-house

Reduce vendor dependency through structured knowledge transfer and operating models.

Why NeeliMax

Why Microsoft customers choose NeeliMAX.

Architected exclsuively for Microsoft AI-native delivery and enterprise-scale transformation. NeeliMAX combines autonomous AI execution with human governance — helping organisations ship intelligent applications faster.

Built for the Microsoft AI Ecosystem

Factory-Scale Modernisation

Enterprise-Grade Security & Compliance

Maximum Speed. Minimum Cost. Proven ROI.

Start Your NeeliMAX Journey

Start with a Transformation Discovery.

NeeliMAX's Agentic AI Discovery analyzes your application portfolio comprehensively to create the foundation for AI-native delivery. You'll receive an implementation-ready roadmap that feeds directly into the NeeliMAX Agentic SDLC.

Request Discovery

AI Discovery

AI agents analyze your applications, integrations, and workflows to identify dependencies, opportunities, and the optimal transformation approach.

Functional Specs

Structured, dependency-aware functional specifications for every application—ready to drive the NeeliMAX Agentic SDLC.

UI Wireframes

Review-ready application mock-ups generated from approved requirements, enabling rapid stakeholder validation before development.

Delivery Roadmap

A phased implementation roadmap with prioritized delivery waves, timelines, and investment estimates for predictable execution.

Your AI transformation starts here

Sprocket Rocket lets you transform your rapid prototype into a beautiful design by adjusting every aspect of the design to fit brand standards.

Get Started

Frequently Asked Questions

1. What is NeeliMAX?

NeeliMAX is Neelitech's AI-native delivery engine for the Microsoft ecosystem. It orchestrates a spec-driven AI workforce across the full software delivery lifecycle — from requirements to deployment — producing enterprise-grade applications across Power Platform, Fabric, Azure, and Copilot Studio at factory scale. NeeliMAX combines autonomous AI execution with human governance to help organisations ship faster, at lower cost, and with uncompromising quality.

2. Which Microsoft technologies does NeeliMAX build?

NeeliMAX delivers across the full Microsoft stack. This includes Power Apps and Power Automate for business applications and workflow automation, AI Builder and AI Prompts for intelligent and agentic automation, Microsoft Fabric and Rayfin for data-intensive backends and analytics, Copilot Studio and Azure AI Foundry for enterprise AI agents, Power BI for dashboards and business intelligence, and Azure for cloud infrastructure and integrations. From automation to analytics to AI agents — the entire Microsoft ecosystem, factory-delivered.

3. How is NeeliMAX different from AI coding assistants like GitHub Copilot or Cursor?

GitHub Copilot and Cursor are individual developer productivity tools — they assist a single developer writing code. NeeliMAX is an end-to-end agentic delivery system. It replaces entire delivery teams with purpose-built AI specialists — AI Business Analyst, AI Product Owner, AI Architect, AI Developer, AI QA Engineer, and AI DevOps Engineer — each owning a stage of the SDLC with structured outputs and human approval gates. The result is not faster coding; it is a fundamentally different delivery model.

4. Does NeeliMAX have its own AI model? Which LLMs does it support?

NeeliMAX does not have a proprietary language model. It is LLM-agnostic by design, orchestrating frontier models across each stage of delivery — with Anthropic Claude as our preferred model of choice for its current superior reasoning, instruction-following, and enterprise safety standards. NeeliMAX has the flexibility to leverage Azure OpenAI and frontier enterprise LLMs depending on task, context, and client environment.

To maximise efficiency, NeeliMAX incorporates proprietary token consumption optimisation — using structured prompt compression, context pruning, and stage-specific model routing to ensure the right model runs at the right cost for every delivery stage.

5. How does NeeliMAX ensure quality, governance, risk and compliance?

Quality and governance are embedded into every stage of the NeeliMAX delivery pipeline. Each AI specialist produces structured, validated outputs that pass through human approval gates before progressing to the next stage. The system enforces ALM standards, Dev/Test/Prod promotion, documentation requirements, and audit trails throughout. This means governance is not a final checkpoint — it is a design principle built into every sprint and every delivery.

6. How does NeeliMAX keep enterprise data secure?

NeeliMAX operates within a three-zone architecture — Neelitech's secure Azure tenant for orchestration, the client's Azure tenant, and the client's local environment — ensuring that enterprise data never leaves the client's controlled infrastructure. All processing occurs within client-governed environments, with no data retained by Neelitech beyond the engagement scope. Security, access controls, and compliance policies are configured to meet each organisation's specific enterprise requirements.

7. How does NeeliMAX help optimise AI inference costs?

NeeliMAX reduces inference costs through intelligent model orchestration — selecting the most cost-effective LLM for each delivery stage rather than routing every task through a single high-cost model. Structured prompt engineering, reusable factory patterns, and spec-driven inputs minimise token consumption and rework. The result is a delivery model that gets progressively more cost-efficient with every sprint as patterns compound across engagements.