Enterprise architecture intelligence

Know what a business change will actually affect.

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

From business intent to an architecture decision.

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.

01 · ASK

Describe the change

Start with the business outcome—not a predefined list of systems.

02 · MAP

Trace the impact

Identify affected capabilities, applications, interfaces, data and teams.

03 · EXPLAIN

Show the evidence

Make dependency paths, confidence and blind spots reviewable.

04 · DESIGN

Plan the change

Generate connected diagrams and implementation specifications for review.

Trust architecture

AI participates. Experts remain responsible.

Markian is designed for human-accountable architecture work. If an output is not understandable, evidenced or reviewable, the process stops and asks for clarification.

FOUNDATION INTELLIGENCE

Connect the evidence

Controlled adapters link knowledge from code, APIs, databases, documents and operational systems into a traceable architecture graph.

EXPERT SPACE

Protect the non-negotiables

Experts define principles, invariants, safety boundaries, regulatory requirements and deliberate decisions before AI interpretation begins.

AI IN THE LOOP

Clarify before automating

AI supports analysis inside a reviewable process. Missing understanding is treated as a stop signal—not permission to invent.

One adaptable, end-to-end change specification

Business contextCurrent & target stateImpact analysisRequirementsInterfaces & data flowsRisks & decisionsArchitecture diagramsHLD & LLD
Review loopDraftReviewRefinementApproval

Why Markian

Decision intelligence above the coding layer.

The gap

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?

The product thesis

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