Microsoft-aligned Frontier Firm for enterprise AI
Human-led. Agent-operated. Enterprise AI platforms built for the frontier of work.
Green Project Consulting is an AI-native engineering company in the Microsoft ecosystem. We design, ship, and maintain enterprise AI platforms using human-agent workflows, Codex-assisted delivery, GitHub Enterprise governance, and Azure deployment paths that support marketplace-ready solutions.
- Agentic AI engineering for Azure-based enterprise platforms and internal AI systems
- GitHub Enterprise and Codex workflows from backlog creation through build, review, and maintenance
- Human approval stays at architecture, client, security, commercial, and production judgment points
Why Frontier, why now
Built for a world where teams are powered by agents, not slowed by manual handoffs.
Green Project Consulting is not a traditional consultancy that happens to use AI. We are an AI-native operating company that delivers consulting, builds platforms, and accumulates reusable IP through human-agent workflows from day one.
Frontier Model
What makes GPC a Frontier Firm
Microsoft describes Frontier Firms as AI-operated, human-led organizations built around on-demand intelligence and hybrid teams of humans plus agents. That is the operating model Green Project Consulting is intentionally building.
AI-operated, human-led
Agents handle repeatable execution while leadership keeps architecture, commercial, security, and client decisions.
Human-agent teams
Small outcome-driven teams combine CEO oversight, specialist agents, and code systems instead of heavy silos.
Agent boss culture
Every workflow is designed so humans delegate, review, refine, and continuously improve agent performance.
Work charts over org charts
Teams form around outcomes like proposals, platforms, releases, and support, then reconfigure fast as needs change.
Reusable intelligence
Prompts, standards, templates, and accelerators become operating IP that compounds across every engagement.
Governed automation
GitHub reviews, branch protection, scanning, approvals, and deployment gates keep speed accountable.
How Teams Work
GPC runs through human-agent teams, not traditional consulting layers.
Our operating system combines five business lanes, five starter agents, and one clear rule: recurring work moves from manual once to template second to automated third to agent-owned thereafter.
Sales Agent keeps pipeline moving
Lead research, qualification, outreach drafts, proposals, and follow-up are agent-assisted while the CEO approves outbound commitments.
Architect and Build Agents turn scope into software
Discovery becomes architecture, backlog, code, tests, pull requests, and release notes within governed engineering workflows.
Executive Agent runs cadence and visibility
Daily briefings, priorities, approvals, blockers, and risk signals are consolidated so leadership can act instead of chase updates.
Finance and Ops Agent protects cash flow
Milestones, invoice triggers, reminders, and overdue follow-ups become visible and repeatable without manual admin drag.
Consulting work compounds into reusable platforms
Every engagement strengthens templates, accelerators, prompt libraries, and marketplace-ready assets instead of disappearing into one-off effort.
Agentic Workflow
From discovery to deployed platform with agents in the loop.
We use Codex, GitHub Enterprise, and Azure as a single delivery system so recurring engineering work is executed quickly, reviewed cleanly, and maintained with less friction.
Capture the problem and constraints.
Discovery notes, transcripts, and client context are turned into structured requirements, assumptions, and risks.
Convert needs into delivery-ready plans.
Solution Architect logic produces architecture options, scope boundaries, phased roadmaps, and build-ready backlog drafts.
Ship with Codex inside GitHub guardrails.
Build agents and Codex generate code, tests, documentation, and pull requests while standards and reviews stay enforced.
Release through governed Azure workflows.
Human approvals stay at production gates while Azure handles scalable deployment, environment control, and operational rollout.
Keep the platform improving after launch.
Agents monitor, triage, update, and refine the system while humans step in for exceptions, governance, and strategic change.
Platform Stack
The operating system behind GPC OS v1
Microsoft 365 and Copilot support notes, drafting, and daily briefing inputs. Copilot Studio and Power Automate orchestrate internal agents and approvals. Fabric becomes the operational telemetry layer. GitHub Enterprise holds code, policies, prompts, and standards. Codex accelerates engineering execution. Azure provides the deployment path for enterprise AI platforms and reusable solutions.
- Executive, Sales, Solution Architect, Build, and Finance and Ops agents with clear missions and guardrails
- CEO stays at pricing, scope, architecture, governance, client commitments, invoices, and production decisions
- Active delivery becomes reusable templates, prompt sheets, accelerators, and platform components
- Metrics track throughput, approvals, automation coverage, defects, deployment frequency, and revenue flow
Next step
If you want an AI engineering partner that already works like a Frontier Firm, we should talk.
Contact
Tell us which workflow, platform, or approval bottleneck needs to change.
We work best with teams building enterprise AI platforms, internal agent systems, Azure-based solutions, or reusable software products inside governed engineering environments.
Typical starting points
- We need an Azure-based AI platform with stronger engineering governance
- We want to turn discovery and architecture into a repeatable agentic workflow
- We need GitHub Enterprise, Codex, and Azure working as one delivery system
- We want to package a reusable solution for Azure Marketplace