01 / TRUST
Self-assessment is not proof
A model claiming success should not be the only evidence that a task was completed correctly.
AI Workflow Infrastructure · Building MVP
AI can act.
Work should
be verifiable.
AI-MAM Core is an owner-controlled orchestration and verification layer designed to make AI-assisted work accountable, inspectable, and traceable.
Private Python prototype. V1 development in progress. Not yet commercially launched.
ASSURANCE BY DESIGN
AI-MAM / 01
Trust is not a claim.
It is a process.
It is a process.
01
Authorized Actions
Clear operating boundaries
✓
02
Traceable Evidence
Visibility into what happened
✓
03
Independent Review
Confidence beyond self-assessment
✓
04
Verifiable Outcomes
Evidence instead of assumptions
✓
The Problem
AI capability is growing.
Accountability must catch up.
AI agents can generate code and carry out increasingly complex tasks. Teams still need reliable ways to establish what happened, what was authorized, and whether the outcome was independently checked.
02 / AUTHORITY
Actions need boundaries
AI-assisted operations need clear limits, transparent decisions, and explicit accountability.
03 / CONTINUITY
Evidence must be traceable
Teams need to understand what was attempted, what was verified, and what remains unresolved.
Our Approach
Verification is part
of the workflow.
AI-MAM Core is designed to govern how AI-assisted work proceeds, rather than simply logging agent activity after execution.
Confidence requires more than an AI response.
AI-MAM Core is designed to introduce clearer boundaries, independent checking, and traceability into AI-assisted operations.
Work within defined permissions
Capture evidence as work progresses
Review outcomes independently
Apply repeatable validation criteria
Maintain visibility into open issues
Current Stage
A private prototype.
An engineering-first roadmap.
AI-MAM Core currently exists as a private, locally operated Python prototype.
V1 reliability and technical closure work is ongoing. Internal engineering verification is distinct from external commercial validation.
We are preparing for future technical evaluation and design-partner discussions.
Private prototype
IN DEVELOPMENT
V1 reliability work
ONGOING
External customer pilots
NOT STARTED
Commercial launch
PRE-LAUNCH
Initial Focus
Built for teams that need to trust the result.
Our initial focus is AI-assisted software workflows within authorized repositories and test environments.
The general-purpose architecture is intended to support broader authorized operational workflows as the core matures.
Connect With Us
Building the trust layer
for AI-assisted work.
We welcome conversations with experienced technical collaborators, research partners, and prospective design partners.
Kenan Ergin · Founder & Product Architect
Based in Türkiye