Diagnostic entries

Choose the entry point closest to the pressure.

Your architecture is holding the system back.

Enterprise Application Landscape & Architecture Audit

For organizations dealing with fragmented application landscapes, complex platform dependencies, integration pressure, or modernization that has become difficult to sequence safely.

Open diagnostic

Your data exists — but it is not yet reliable enough to support decisions.

Data Core Maturity Sprint

For organizations with data, reports, and dashboards — but without a trusted decision foundation.

Open diagnostic

Your systems exist — but they do not work together.

Enterprise Orchestration & AI Readiness Diagnostic

For organizations where systems, teams, workflows, or AI initiatives do not yet operate as one coherent system.

Open diagnostic
Infrastructure Enterprise Application Landscape & Architecture Audit Structured audit · 3–5 weeks

Your architecture is holding the system back.

An engineering-led assessment of your enterprise application landscape — mapping platforms, integrations, dependencies, ownership boundaries, architectural risks, and modernization constraints to define a clear target architecture and phased transformation path.

Start this diagnostic

When it is useful

  • Modernization feels risky because the current application landscape and its dependencies are not clearly understood.
  • Core platforms, applications, integrations, and data flows have accumulated across teams without a coherent architectural picture.
  • The organization needs to stabilize, simplify, migrate, replace, or modernize systems, but the target architecture and sequence are not yet concrete enough for confident execution.

What we analyze

  • Application landscape and architectural boundaries
  • Critical dependencies and integration pressure
  • Structural risk, duplication, and modernization constraints
  • Platform and application ownership boundaries
  • Target architecture and transformation sequencing
  • Governance requirements across architecture and delivery

What it produces

  • Current-state application landscape
  • Dependency & structural risk map
  • Target architecture direction
  • Phased transformation roadmap
  • Initial build or proposal direction
Intelligence Data Core Maturity Sprint Diagnostic sprint · 2–3 weeks

Your data exists — but it is not yet reliable enough to support decisions.

A focused sprint to assess whether the organization’s data foundation can support reliable reporting, decision layers, AI readiness, and owned intelligence systems.

Start this diagnostic

When it is useful

  • Reports exist, but teams do not fully trust the numbers.
  • Data ownership, definitions, and source-of-truth logic are unclear.
  • AI initiatives are being discussed before the underlying data foundation is ready to support them.

What we analyze

  • Data ownership and source-of-truth logic
  • Reporting consistency and KPI reliability
  • Data model maturity and operational readiness
  • Decision-layer requirements
  • AI readiness dependencies in the data core

What it produces

  • Data maturity assessment
  • Source-of-truth and ownership map
  • Reporting reliability view
  • Decision-layer readiness recommendations
  • Next-step roadmap for intelligence systems
Orchestration Enterprise Orchestration & AI Readiness Diagnostic Readiness diagnostic · 2–4 weeks

Your systems exist — but they do not work together.

A diagnostic that maps how systems, workflows, teams, APIs, governance logic, and AI opportunities coordinate — or fail to coordinate — across the organization.

Start this diagnostic

When it is useful

  • Execution depends on manual fixes, disconnected workflows, or informal coordination.
  • Automation or AI initiatives are emerging without a clear orchestration model.
  • Systems are technically present, but operating logic is fragmented across teams or platforms.

What we analyze

  • Workflow and process coordination
  • System-to-system orchestration requirements
  • API, automation, and integration logic
  • Human-in-the-loop and governance requirements
  • AI-agent or AI-assisted workflow readiness

What it produces

  • Orchestration pressure map
  • Workflow and coordination gap assessment
  • AI readiness view
  • Governance and control requirements
  • Recommended orchestration path
What every diagnostic delivers

Clarity before commitment. A working decision structure, not a report.

Each MTNA diagnostic produces a concrete set of outputs — structured so that decisions can be made, priorities set, and the right next move defined. The scope varies by entry point. The standard does not.

The output becomes the working basis for what comes next.
01

Architecture & Dependency Map

A clear view of platform boundaries, integration dependencies, ownership gaps, and structural pressure points — so that modernization, build, or transition decisions are grounded in reality.

02

Risk & Pressure Assessment

A prioritized view of where architectural, data, or orchestration risk sits — including fragmentation, lock-in, compliance exposure, and AI deployment blockers.

03

Ownership & Governance Model

A practical model for data ownership, decision rights, access control, approval logic, and auditability — governance as an operating condition, not a compliance checkbox.

04

AI & Intelligence Readiness View

An honest assessment of whether the current data foundation, orchestration model, and governance structure can support reliable AI deployment — and what is required before scale.

05

Modernization Roadmap

A phased path from current complexity to a controlled enterprise foundation — with sequencing logic, dependency constraints, and priority decisions made explicit.

06

Executive Decision Pack

A leadership-ready summary that translates technical findings into business decisions — structured for internal alignment, stakeholder review, and next-step commitment.

After the diagnostic

The diagnostic defines the next move. It does not force one.

The outcome of a diagnostic entry is clarity: where the pressure sits, what is structurally required, and which execution path makes sense next.

Build path

Move from diagnostic into system build.

If the system condition is clear and the opportunity is strong, MTNA can move into architecture, data, orchestration, or implementation work.

Proposal path

Translate clarity into scoped execution.

If further definition is needed, MTNA can translate the diagnostic into a scoped proposal, roadmap, or phased execution plan.

Partner path

Support handover or ecosystem delivery.

If delivery requires another specialist, technology partner, or internal team alignment, the diagnostic can support that handover.

Stop point

Create clarity without forcing work.

If MTNA is not the right fit, the diagnostic still creates clarity without forcing unnecessary continuation.

Locate the pressure. Then define the move.

If the right entry is already clear, start the conversation. If not, MTNA can help identify the diagnostic path before scope is defined.