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SimplyGoose

SimplyGoose delivers an AI‑Driven Development Lifecycle (AI‑DLC) platform that links disparate AI agents across the software delivery pipeline, persisting context and decisions as versioned markdown artifacts within Git.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprise software teams use multiple AI agents (e.g., Copilot, Claude, AI‑assisted ticketing) in isolation, so intent, decisions, and context are lost between roles. This fragmented workflow leads to rework, missing audit trails, and slowed delivery despite faster individual tools.

Solution

SimplyGoose provides an AI‑Driven Development Lifecycle (AI‑DLC) integration layer that connects AI agents across the software delivery pipeline. It installs stateful MCP servers, Git hooks, and a visual orchestrator directly into a team’s Git repositories, persisting context as markdown artifacts and logging every decision in a Git‑native audit trail. The platform enforces a three‑phase process—Inception, Construction, Operations—with phase‑gate automation, steering document templates, and dashboards that give product, engineering, and TPMs shared intent and traceability without changing existing tools. Teams can adopt the AI‑DLC Workspace in a week and start shipping with AI‑augmented speed while maintaining accountability and reducing cycle time from days to hours.

Target Audience

Primary customers are product managers, engineering leads, and technical program managers in mid‑size to large enterprises that run AI‑augmented development workflows and need structured, auditable processes.

Features

  • Stateful MCP servers that maintain context across AI agents and pipeline stages
  • Git hooks that automatically capture requirements, code changes, and decisions as versioned markdown files
  • Visual orchestrator UI for managing phase gates, dashboards, and multi‑squad coordination
  • Built‑in audit trail in Git, providing full traceability of every AI‑generated artifact and decision
  • Integration with any Git provider (GitHub, GitLab, Bitbucket) and support for SSO/SAML and VPC deployments
  • Phase‑gate automation and delivery metrics to enforce the AI‑DLC methodology
  • Templates for steering documents and requirement markdown to standardize AI‑generated outputs
  • Optional expert implementation and 2‑day workshops for hands‑on adoption and certification
This profile is AI-generated and may contain inaccuracies.