Madiro Implementer AI

From requirement to deployed system, guided by AI.

It turns the Jira and GitHub tickets you already track into grounded, review-ready changes — reusing the implementation knowledge your team already has, and capturing what every project teaches. All inside your own AI client, on your own LLM and key.

How it works

The platform, end to end.

Madiro Implementer AI architecture: users reach the platform through a web UI or an MCP for desktop and IDE; work flows from Tasks, into Knowledge, into Actions, with a continuous learning and optimization loop.

From access through the continuous learning loop.

Already in use at

What it does

Reuse what you know, capture what you learn, and get it done.

More than a knowledge base or an assistant: it puts your knowledge to work, grows it every project, and turns tracked tasks into review-ready changes.

Reuse what you know

It brings your existing organizational, medical, and system knowledge, working from the tasks you already track in Jira and GitHub Issues. No implementation starts from a blank page.

Capture what you learn

Every project adds to a living memory. New decisions, configurations, and lessons are recorded and ready to reuse, so your team and new joiners build on each other instead of starting over.

From task to review-ready change

It grounds a tracked task in your knowledge, opens a real pull request on your repository, and evaluates the outcome. A person always signs off before anything merges.

See it work

Works where your team already works.

Resolve a ticket from the command line or from Claude Desktop — the same governed MCP, grounded in the knowledge your team is entitled to. It authors a review-ready change and opens a real pull request; a person reviews and merges it — nothing ships on its own.

In your IDE & command line

Claude Code — resolving a ticket
Claude Code resolving a Jira ticket via Madiro Implementer AI: it loads the tools and returns an implementation-ready briefing — the field label change and the exact dropdown answer set.
Resolve a ticket without leaving the terminal.

In Claude Desktop

Claude Desktop — resolving a ticket
Claude Desktop resolving the same ticket via Madiro Implementer AI: it loads the tools and grounds the ticket for an implementation-ready briefing.
Or from the desktop app — same tools, same knowledge.

Quality & evaluation

Every run is evaluated.

The platform scores each task for quality and consistency, and compares the time spent against the Jira estimate — so the value is measured, and it holds up as teams re-run tasks and the knowledge base grows.

~5×
less effort per implementation (manual vs. AI)

MSF’s quality dashboard

Quality — per-task effort & consistency
MSF's quality dashboard: total and scored runs, effort measured from the Jira estimate to assisted authoring time, and per-task consistency with a quality trend.
MSF’s own view: runs scored for quality and consistency, effort measured per task, and a trend they can follow as they re-run work.

Why it matters

Keep your knowledge. Keep your independence.

When partners leave, their expertise leaves with them. The platform turns that experience into living memory — personal, organizational, and governmental — so it’s never lost again.

Your stack stays yours. Requirements and code live in your own systems, and a person signs off before anything ships.

Bring your own LLM and key. Your model and data stay yours — you never pay us for inference.

You own what you create. Keep your knowledge private, or share it back to the community. Built on open source and open standards.

Your knowledge, governed

Private by default. Shared on your terms.

  • Every task draws on all three layers at once — private, network, and community.
  • Private stays private — isolated to your organization by default.
  • You decide what to promote outward — and how far it travels.
Community Open to everyone · free, forever
Implementer network Shared in trust across partners
Private

Your forms, mappings & configs — kept private to your organization, shared only when you decide.

Open & extensible

Agnostic by design. It grows with your stack.

Not tied to any one system. It connects to what you already run — and extends to new systems, medical programs, and shared knowledge libraries. Built on open standards and digital public goods, so what you build can flow back to the community.

OpenMRS

Open medical record system

Open Concept Lab

Shared clinical concepts

OpenFn

Data integration workflows

Superset

Analytics and dashboards

In the marketplace

Marketplace — systems & medical programs
Marketplace knowledge libraries: system knowledge (OpenMRS, Open Concept Lab, OpenFn Lightning, Odoo) and medical knowledge (HIV, Tuberculosis), each grantable per organization.
Browse and request systems, medical programs, and knowledge libraries — each granted per organization, so teams see only what they should.

Continuous learning

It gets sharper with every deployment.

Each outcome is evaluated and fed back into task memory — so results get sharper and the cost per run keeps falling.

Trust and control

Governance and observability, built in.

Everything the platform does is visible, auditable, and under your control.

User and knowledge governance
Full observability
Audit trails
Built-in evaluations

Plans

Built for who you are.

From open-source contributors to national programs, there’s a fit — and early adopters help shape it. Every plan runs on your own LLM and key.

Contributor Free

Individuals and open-source communities.

  • Web UI and MCP access
  • Open community knowledge
  • Public contributor page
  • No LLM as a judge review
Get early access →

Contractor

Service providers delivering for clients.

  • Private knowledge and multi-client workspaces
  • Reusable configurations across clients
  • Observability and evaluations
Get early access →

Organization

Organizations running systems.

  • Organizational memory and governance
  • LLM as a judge review
  • Deploy, with audit trails
  • Onboard new systems and programs
  • Priority support
Get early access →

Public Institution

Ministries and national programs.

  • Governmental memory
  • Sovereign deployment on your infrastructure
  • Full governance, audit, and SLAs
Get early access →
Early access program

Become an early adopter.

Our early access program is open to a limited first cohort of open-source communities, service providers, organizations, and institutions. Early adopters get priority onboarding, direct access to the team, and a real say in what the platform becomes.

If the form does not load, reach us through labs.madiro.org.