Describe the change
Start with the business outcome—not a predefined list of systems.
Enterprise architecture intelligence
Markian connects business intent to the real enterprise landscape. It turns fragmented architecture evidence into traceable impact analysis, exposed blind spots and a reviewable implementation plan.
The workflow
Architecture knowledge is scattered across documentation, repositories, runtime telemetry, CMDBs, tickets and people's heads. Markian builds the evidence layer needed to reason across those boundaries.
Start with the business outcome—not a predefined list of systems.
Identify affected capabilities, applications, interfaces, data and teams.
Make dependency paths, confidence and blind spots reviewable.
Generate connected diagrams and implementation specifications for review.
Trust architecture
Markian is designed for human-accountable architecture work. If an output is not understandable, evidenced or reviewable, the process stops and asks for clarification.
Controlled adapters link knowledge from code, APIs, databases, documents and operational systems into a traceable architecture graph.
Experts define principles, invariants, safety boundaries, regulatory requirements and deliberate decisions before AI interpretation begins.
AI supports analysis inside a reviewable process. Missing understanding is treated as a stop signal—not permission to invent.
Why Markian
Coding agents increasingly understand a repository. Enterprises still lack a trustworthy answer to the cross-landscape question: if we make this business change, what must change, where, why and in what sequence?
Markian becomes the living model that connects business capabilities, systems, APIs, data, ownership, runtime behaviour and change history—while explicitly showing what it does not know.
Founder-led, bootstrapped and in enterprise discovery