Gen-e2 AI-powered PDLC | PALO IT Services

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Don't just generate, orchestrate.

Gen-e2™ is PALO IT’s enterprise-grade, AI-first engineering methodology. Launched in 2024 and battle-tested in the real world, it's now evolving into governed Agentic AI orchestration — delivering asynchronous, 24/7 software execution and legacy modernization at scale.

Enterprise Agentic AI orchestration

Multi-agent swarms run asynchronously 24/7, governed by the Gen-e2™ Harness so cloud agents autonomously handle entire user stories at enterprise scale, without losing control.

The human orchestrator

Eliminate the execution bottleneck. Developers elevate to strategic orchestrators, focusing solely on approving project briefs and validating final deliverables, while agents build.

3-5x accelerated delivery

Accelerate delivery without compromising security. Enterprise guardrails cut timelines 3–5× across greenfield and legacy modernization, with peak productivity gains of up to 86%.

GitHub Partner of the Year

A complete AI-first model, battle-tested since 2024, powered by GitHub Agentic Workflows and delivering an award-winning orchestration platform you can trust.

Enterprise Agentic AI orchestration

Multi-agent swarms run asynchronously 24/7, governed by the Gen-e2™ Harness so cloud agents autonomously handle entire user stories at enterprise scale, without losing control.

The human orchestrator

Eliminate the execution bottleneck. Developers elevate to strategic orchestrators, focusing solely on approving project briefs and validating final deliverables, while agents build.

3-5x accelerated delivery

Accelerate delivery without compromising security. Enterprise guardrails cut timelines 3–5× across greenfield and legacy modernization, with peak productivity gains of up to 86%.

GitHub Partner of the Year

A complete AI-first model, battle-tested since 2024, powered by GitHub Agentic Workflows and delivering an award-winning orchestration platform you can trust.

The Gen-e2™ Harness

PALO IT has developed, and makes available to its clients, a suite of ready-to-use resource packs, agents, and tools that we deploy at the project, domain, or enterprise level.

Setup Packages

A library of reusable assets, skills, agents, instructions, prompts, MCP integrations packages, that give every Gen-e2™ engagement a pre-configured, production-ready starting point. Rather than building from scratch, your teams inherit a proven foundation that accelerates setup and enforces consistency across every project.

AI-Assisted Product Workspace

A visual collaboration layer where the entire product team, not just engineers, works together through the full delivery lifecycle. Discovery artifacts flow directly into the build pipeline via a single shared repository, eliminating the handoff gap between design and engineering and keeping every stakeholder aligned on what's being built and why.

Enterprise AI Hub

An MCP-native marketplace for curating, governing and distributing AI agents across your organization. MCP connectivity allows agents to connect and operate autonomously across your existing systems, giving enterprise teams a centralized control point for managing AI at scale with the governance and auditability that regulated environments require.

Agentic Orchestration

The layer that coordinates context, roles, tools, actions and validation across your entire agent ecosystem. Rather than managing AI tools individually, agentic orchestration scales enterprise AI as a governed, auditable system — with humans setting direction and agents executing autonomously within defined boundaries.

Custom Agents

Purpose-built agents covering the full delivery lifecycle: requirements, architecture, code generation, review, testing, security and CI/CD. Each agent is configured to your specific context and operates within the Gen-e2™ governance framework, ensuring outputs are production-ready and traceable from brief to deployment.

Gen-e2™ Agentic Orchestration Whitepaper

Read our free whitepaper on powering the enterprise with discipline in the time of AI agent orchestration. Inside we explain:

Why agentic orchestration matters for large enterprises
Where the main sources of value and risk now sit
What leaders need to pay attention to as these systems move from isolated experiments to scaled operating models

About_PALO IT_Gen-e2

Read the Whitepaper

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What they say

Sharryn Napier

Sharryn NAPIER, VP, APAC, GitHub

"Strategic partnerships are key as we extend the reach of GitHub's Copilot-powered platform. We're excited to deepen our partnership with PALO IT and enable more companies to unlock innovation at scale through AI-driven software development, just as we've seen with Singapore Airlines."

Ross Fenton 1

Ross FENTON, Senior Director, SMB, Microsoft + GitHub

“Strategic partners like PALO IT are instrumental to how GitHub brings the power of our Copilot-powered platform to life. Today’s businesses need to eliminate backlogs, ship faster, and innovate with purpose. With deep expertise in AI-driven software engineering, PALO IT is helping customers do just that, and it’s incredible to see the impact firsthand with HCF."

Nicolas Payet Pernod Ricard

Nicolas PAYET, CEO, Mexico & North LATAM, Pernod Ricard

"Thanks to the PALO IT team and its AI Academy program, we were able to fully leverage our GPT tool, transforming the operational efficiency of all our areas. Every collaborator, regardless of their role, discovered practical and scalable ways to integrate artificial intelligence into their daily tasks, enhancing our productivity and competitiveness."

Tom Robinson HCF

Tom ROBINSON, Head of Innovation, HCF

“By embracing an AI first engineering approach, we’re not just improving our development speed – we’re fundamentally rethinking how we build and scale digital experiences."

Shlomi Shaki_GitHub Copilot GTM Lead, APJ

Shlomi SHAKI, Strategic AI GTM Lead, ATJ, GitHub

“Providing organization, process, and team context to GitHub Copilot in the form of custom instructions (such as PALO IT’s Gen-e2 framework) makes a huge difference in outcomes.”

Pascal VIEILVOYE Concept4

Pascal VIELVOYE, Group CEO/CFO, Concept4

"By implementing the PALO IT Impact Tracker, Concept4 can pave the way for meaningful action and create a sustainable future that benefits us all."

Our AI Tech Stack

VSCode_Logo

VSCode_Logo

Gen-e2™ (Generative AI Enhanced Engineering) is PALO IT's enterprise-grade AI-native operating model. It combines methodology, tooling, and training into one trademarked framework — covering how software is discovered, built, modernized, and scaled across an organization. It is not a point tool or a prompt library. It is a structured, context-driven approach that gives AI agents the enterprise-grade guardrails they need to deliver consistent, production-ready outcomes.

AI coding assistants accelerate individual developers. Gen-e2™ transforms how entire organizations build and deliver. It operates across the full product lifecycle — from discovery through to deployment — using a shared repository, structured rules, and coordinated agents rather than ad-hoc prompting by individual engineers. The result is productivity gains at organizational scale, not just at the IDE level.

Gen-e2™ coordinates multiple AI agents — both technical and business agents — across your existing systems and workflows. Technical agents handle code generation, testing, security, and CI/CD. Business agents support functions like HR, finance, legal, and knowledge management. A human orchestrator sets direction, validates outputs, and governs the system throughout. This is how Gen-e2™ delivers measurable impact across the entire enterprise, not just the engineering team.

Across 100+ enterprise AI projects delivered since 2025, Gen-e2™ has driven 3 to 5x faster delivery, a 47% average productivity gain peaking at 86%, and up to 50% project budget savings. Enterprises also see over 15% OpEx reduction at scale, and clients who pilot Gen-e2™ consistently move on to scale it across their teams, including Singapore Airlines scaling to 1,400 developers in seven months.

Yes. Gen-e2™ is a methodology with customizable technical assets, not a single toolchain, so it adapts to your existing stack and environment rather than forcing a migration. Many engagements run on GitHub Copilot, but we've also delivered across other AI coding platforms and agent tools, with our agents connecting to your systems through standardized, MCP-based integrations. We assess your current setup and configure Gen-e2™ to work within it.

Every agent in the Gen-e2™ framework operates within defined enterprise rules, security policies, and a governed repository — the Gen-e2™ Enterprise AI Hub — which serves as the single source of truth for all agent configurations. Human orchestrators review direction and validate deliverables at every stage. This keeps AI-generated code, documentation, and infrastructure-as-code aligned with enterprise quality and compliance standards.