Choose the entry point closest to the pressure.
Your architecture is holding the system back.
Composable Architecture Audit
For organizations dealing with fragmented platforms, SAP-connected complexity, unclear dependencies, or modernization pressure.
Open diagnosticYour data exists — but cannot yet be trusted as a decision system.
Data Core Maturity Sprint
For organizations with data, reports, and dashboards — but without a trusted decision foundation.
Open diagnosticYour systems exist — but they do not work together.
Orchestration & AI Readiness Diagnostic
For organizations where systems, teams, workflows, or AI initiatives do not yet operate as one coherent system.
Open diagnosticInfrastructure Composable Architecture Audit
Your architecture is holding the system back.
A structured architecture audit that maps system fragmentation, dependencies, platform risk, and the path toward a composable enterprise foundation.
Start this diagnosticWhen it is useful
- Modernization feels risky because the current system landscape is not clearly understood.
- SAP, commerce, CMS, CRM, data, or operational systems are connected through fragile or unclear dependencies.
- Teams are discussing transformation, but the target architecture is not yet concrete enough to support confident execution.
What we analyze
- Platform architecture and system boundaries
- Critical dependencies and integration pressure
- Modernization risks and sequencing constraints
- Composable readiness and transition logic
- Governance requirements across architecture and delivery
What it produces
- System and dependency map
- Architecture risk view
- Modernization pressure assessment
- Recommended transition path
- Initial build or proposal roadmap
Intelligence Data Core Maturity Sprint
Your data exists — but cannot yet be trusted as a decision system.
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 diagnosticWhen 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 structurally ready.
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 Orchestration & AI Readiness Diagnostic
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 diagnosticWhen 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 conditions
- 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
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.
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.
Risk & Pressure Assessment
A prioritized view of where architectural, data, or orchestration risk sits — including fragmentation, lock-in, compliance exposure, and AI deployment blockers.
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.
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.
Modernization Roadmap
A phased path from current complexity to a controlled enterprise foundation — with sequencing logic, dependency constraints, and priority decisions made explicit.
Executive Decision Pack
A leadership-ready summary that translates technical findings into business decisions — structured for internal alignment, stakeholder review, and next-step commitment.
The diagnostic defines the next move. It does not force one.
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.
Translate clarity into scoped execution.
If further definition is needed, MTNA can translate the diagnostic into a scoped proposal, roadmap, or phased execution plan.
Support handover or ecosystem delivery.
If delivery requires another specialist, technology partner, or internal team alignment, the diagnostic can support that handover.
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.