Bring senior architecture judgment to the decision before scale magnifies it.
Focus a complex modernization, data, integration, operating-capability, technology strategy, or AI-readiness question into a clear boundary, defensible options, explicit tradeoffs, and an executable sequence.
A defined architecture outcome, not an open-ended consulting footprint.
The strongest fit is a bounded question where experience, systems thinking, and independent judgment materially improve the decision and the teams who own delivery remain engaged.
Operating-capability architecture
Connect business outcomes, operating roles, information, controls, applications, integrations, and measures around a capability that crosses organizational lines.
Modernization strategy
Define target-state principles, transition boundaries, dependencies, risk, option tradeoffs, and a sequence that can survive real operating constraints.
Application & integration boundaries
Clarify system responsibilities, authoritative data, interface ownership, failure modes, lifecycle risk, and the seams most likely to undermine delivery.
Data readiness & ownership
Establish usable domain boundaries, stewardship, quality expectations, access, lineage, and integration prerequisites for decisions and AI.
AI readiness & use-case architecture
Compare business value, data readiness, workflow fit, human accountability, security, governance, measurement, and adoption before scaling pilots.
Independent solution assurance
Pressure-test architecture, assumptions, dependencies, operating fit, acceptance measures, and implementation risk without a platform-sales incentive.
Large organization does not have to mean oversized engagement.
The first job is to define the unit of architecture: a decision, domain, portfolio question, integration boundary, capability, or roadmap. That boundary should expose the important dependencies without turning a focused need into a company-wide transformation.
- Decision, outcome, and executive context.
- Stakeholder, capability, system, and data boundary.
- Constraints, dependencies, risk, and assumptions.
- Options, tradeoffs, and target-state direction.
- Governance, sequence, evidence, and next decisions.
Clear limit: AAG does not replace an enterprise architecture function, provide a large delivery bench, or supply staff augmentation. It contributes a senior-led architecture outcome and collaborates with the teams accountable for execution.
Connect AI ambition to the operating architecture required to sustain it.
Enterprise readiness is more than model selection. It includes the use-case portfolio, authoritative data, integration, controls, human accountability, security, evidence, lifecycle ownership, adoption, and the operating measures that decide whether value is real.
Experience at the scale the decision demands.
Andrew has more than 20 years designing and operating complex systems inside a Fortune 30 enterprise. That experience includes principal architecture leadership for a multibillion-dollar national business segment and work spanning data, applications, integration, automation, reliability, and governance.
Good fit when…
- A consequential decision crosses business and technology boundaries.
- Dependencies or ownership are obscuring the real tradeoff.
- A modernization effort needs a defensible transition sequence.
- AI ambition is ahead of data, workflow, or governance readiness.
- An independent senior view can improve the decision without displacing the delivery organization.
Enterprise architecture consulting.
Can a principal-led consultancy support enterprise work?
Yes, when the unit of work is explicit. The offer is senior architecture judgment around a bounded outcome, not a claim to replace an enterprise delivery organization. The scope is designed to work with internal teams and accountable leaders.
Can you work under an existing governance model?
Yes. The engagement can use the organization’s current forums, artifacts, standards, and decision rights. Recommendations should fit the operating reality and identify only the governance changes required for the outcome.
Will you recommend a preferred platform?
Only if the decision calls for it, and the recommendation follows documented business, architecture, data, risk, and operating criteria. AAG does not resell platforms or take vendor commissions.
Put a clear boundary around the enterprise decision.
Describe the decision, domain, capability, integration, data, modernization, or AI-readiness question. The first conversation will test whether a focused senior-led engagement is the right fit.