Enterprise-grade dependencies without an appetite for endless transformation.
Align cross-functional systems, data, integrations, ownership, governance, and investment sequencing around a bounded decision or operating domain — so complexity becomes visible before it becomes the program.
The highest-cost problems usually live between systems and functions.
Mid-market organizations often have capable teams and established platforms. The missing piece is a shared architecture for decisions that cross organizational boundaries.
Operating capability
Map the work, ownership, controls, information, and enabling systems around a capability that spans functions.
Application portfolio
Clarify overlapping platforms, technical debt, lifecycle risk, and the business case to keep, consolidate, connect, or retire.
Data ownership
Define authoritative sources, stewardship, quality expectations, and how decision-critical information moves across teams.
Integration boundaries
Expose dependencies, failure modes, manual bridges, and ownership at the seams between core systems and partners.
Modernization sequencing
Turn a collection of projects into a dependency-aware sequence tied to operating value, risk, and organizational capacity.
AI readiness & governance
Connect use-case selection to data readiness, workflow control, human review, security, measurement, and portfolio governance.
Start with the decision that needs architecture.
A mid-market engagement does not need to inventory the entire company. It can focus on one operating domain, platform decision, integration boundary, data problem, or modernization sequence — while making the surrounding dependencies explicit.
- Decision context, stakeholders, and constraints.
- Current-state capability, system, and data view.
- Dependencies, risks, ownership, and control gaps.
- Options, tradeoffs, and target-state principles.
- Recommended sequence, governance, and next decisions.
Move from isolated experiments to a governed use-case portfolio.
The question is no longer whether individuals can use AI. It is which use cases deserve business sponsorship, which data domains are ready, what controls apply, how human accountability works, and which measures decide whether a pilot scales.
Architecture leadership developed in complex, high-scale environments.
Andrew has more than 20 years designing and operating complex business systems inside a Fortune 30 enterprise, including principal architecture leadership for a multibillion-dollar national business segment. That experience supports clear boundaries, dependency-aware decisions, and practical modernization sequencing.
Good fit when…
- A cross-functional decision has stalled or fragmented.
- Data and integration dependencies are driving risk.
- A platform or modernization investment needs an independent view.
- AI pilots are outpacing governance or data readiness.
- You need senior architecture judgment without starting a transformation office.
Mid-market systems and architecture consulting.
Are you replacing our internal architecture or IT team?
No. The work is designed to clarify a decision, domain, roadmap, or boundary and collaborate with the people who own delivery. It is not staff augmentation, managed IT, or an outsourced architecture function.
Can you work with an existing implementation partner?
Yes. Independent architecture can help the business define outcomes, constraints, decision rights, data ownership, and acceptance measures before or alongside implementation. AAG remains vendor-neutral and does not take platform commissions.
How large should the first scope be?
Large enough to include the critical dependencies, small enough to produce a decision and sequence. The first conversation is used to find that boundary rather than assuming a company-wide review.
Give the next major decision a clear architecture boundary.
Describe the domain, platform, data, integration, AI, or modernization decision in question. The first response will focus on whether a bounded senior-led engagement can materially improve it.