Organization & Operating Model
How the agency is structured, where decisions and ownership sit, how work moves across roles or functions, and where operating dependencies affect AI-enabled work.
How It Works
How It Works: Audit → Replatforming → Optimization
AEA starts with a paid Audit before prescribing the Replatforming Program.
The reason is practical: the right AI operating model depends on how the agency actually works today. What is documented? Where does client context live? Which workflows are stable? What systems are already sound? Where are the risks, dependencies and ownership gaps? Which opportunities are worth pursuing now, and which should wait?
The Audit validates those conditions, turns them into a prioritized operating-model roadmap, and confirms the recommended Replatforming scope and final Program price.
Why the Audit comes first
AEA does not start with a generic technology recommendation or a predetermined bundle of automation work.
A surface-level discovery conversation can reveal what leadership believes is happening. It cannot reliably show how knowledge moves, where work depends on individuals, how quality is controlled, whether a workflow is ready for automation, or which parts of the operating model are already strong enough to retain.
The Audit is the evidence-gathering and decision stage. It creates a shared picture of the current operating model before money and attention are committed to implementation.
It is also a paid standalone product. A client receives the Audit deliverables and executive readout whether or not the client proceeds into Replatforming.
What the Audit evaluates
The Audit uses one core assessment architecture across nine operating domains. The depth of review can scale with the agency's complexity; there is no single universal sample count or evidence volume that fits every agency.
Knowledge, Documentation & SOPs
Where authoritative company, service and client knowledge lives; how it is maintained; where process knowledge is undocumented; and what sources people and AI are expected to rely on.
AI / LLM Environment
How AI tools are currently used, how context is supplied, where usage is individual versus organizational, and what operating controls or common practices exist around that environment.
Workflows & Client Delivery
How priority work is actually performed, including inputs, outputs, handoffs, review points, exceptions, individual dependencies and opportunities for redesign.
Systems, Integrations & Automation
How the existing stack supports the workflow, where information moves manually, what is already connected, and where integration or controlled automation may or may not be justified.
Governance, Security & Permissions
How access, sensitive information, client data, approvals, permissions and consequential decisions are currently handled, and where clearer operating rules may be required.
QA & Human Control
How the agency decides whether work is correct, appropriate and ready to move forward; where review happens; and how human accountability is preserved.
Adoption & Training
How people learn and use current tools and processes, where adoption depends on individual initiative, and what role-level guidance may be needed.
Measurement & Improvement
What baselines, indicators and review loops exist today, what can be measured responsibly, and how leadership could evaluate adoption and maintenance.
Evidence, not just opinions
The Audit distinguishes between what can be validated and what is only reported.
Validated — High Confidence
Evidence has been directly reviewed, observed, tested, or otherwise substantiated strongly enough to rely on for the relevant decision.
Supported — Medium Confidence
There is meaningful supporting evidence, but not enough to treat the point as fully validated.
Self-Reported — Low Confidence
The point is based primarily on stakeholder reporting and should not be treated as equivalent to independently reviewed evidence.
This matters because a Replatforming recommendation should not be based on confidence that is stronger than the evidence underneath it.
AEA can use asynchronous intake and evidence collection where practical so qualification and assessment do not default to a long sequence of sales meetings. The exact evidence requested depends on the agency and the operating questions being evaluated.
What the Audit produces
The Audit is designed to turn assessment into decisions, not just observations.
Executive Decision Brief
A concise view of the most important operating findings, priorities, constraints and recommended decisions.
AI Operating Model Assessment
A structured assessment of the agency's current ability to use AI as an organizational operating capability rather than only as individual tools.
Current-State Operating Model Map
A practical picture of how relevant knowledge, workflows, systems, controls and responsibilities operate today.
Gap & Risk Register
The material gaps, dependencies and risks that should shape the implementation sequence.
Replatforming Opportunity Map
The areas where operating changes, better context, redesigned workflows, integration, automation, governance, QA, training or measurement may create a stronger operating model.
Target AI Operating Model Blueprint
The recommended future-state design at the level needed to guide implementation.
Replatforming Roadmap
A sequenced plan for what should happen first, what depends on something else, and what should be phased or deferred.
Validated Replatforming Scope + Final Program Price
The implementation scope supported by the Audit evidence, together with the confirmed final Program price.
Measurement Baseline & Success Framework
The starting measures and review approach for the parts of the Program where change should be observed and evaluated.
One executive readout and Q&A
Every paid Audit includes one executive readout and Q&A decision session.
The purpose is not another sales pitch. It is to walk leadership through the evidence, recommendations, dependencies, scope implications and decisions in the Audit so the agency understands what the findings mean and what should happen next.
From Audit to Replatforming
If the client proceeds, the Audit becomes the implementation handoff.
AEA configures the Replatforming Program from the evidence rather than selling all eight operating dimensions by default. Existing strengths can be retained. Material gaps can be addressed before downstream work depends on them. Some opportunities may be phased. Some may be deferred.
The implementation itself follows the logic of assess, document and normalize knowledge where needed, architect the target state, implement, train, QA, measure and improve. That underlying methodology supports the public journey without turning the website into a rigid project schedule.
See What We BuildReplatforming
Replatforming is the implementation stage. AEA builds or changes the parts of the operating model the Audit shows should move now.
That may include knowledge foundations, AI context, priority workflows, systems and automation, governance and permissions, QA and human control, training and adoption, measurement and operating control, or a configured combination of those areas.
AEA does not publish a universal technology stack, automation count, staffing model or implementation timeline because those depend on validated scope and technical conditions.
Optimization
Optimization is the optional stage after implementation.
It can support ongoing measurement review, maintenance, governance updates, adoption, workflow refinement and continuous improvement where the agency needs that support.
Optimization pricing is not part of the current standard public Program model and will be defined separately when appropriate.
What AEA needs from the client
The Audit and Replatforming work depend on access to the people, information and operating evidence required to understand the agency responsibly.
That can include leadership context, relevant process owners, requested documentation, examples of how work is actually performed, access to appropriate systems or outputs, and timely decisions where the work requires client approval. The exact requirements depend on scope and are established as part of the engagement.
The work is collaborative because the agency's operating model cannot be accurately redesigned from the outside without participation from the people who run it.
Standard versus phased or custom engagements
The standard launch model is designed primarily for digital marketing and ecommerce agencies with roughly 10-20 employees. Agencies with 6-9 employees can qualify where operating complexity supports the work.
Agencies with 21+ employees, or agencies with material complexity outside the standard model, are generally routed to a phased or custom engagement rather than forcing the standard calculator and Program structure onto a larger problem.
The Audit remains the mechanism for validating the real conditions and recommended path.
Estimate first. Final scope after the Audit.
For standard qualification, the website calculator produces an Estimated Total Program Price based on submitted information. The Audit fee is exactly 10% of that estimated total Program price, and the estimated Replatforming balance is the remaining 90%.
That pre-Audit figure is an estimate, not the final confirmed scope or price. The Audit validates actual operating conditions and then confirms the final Replatforming scope and Program price.
If the client proceeds with the Program, the Audit fee is credited toward the total Program price.
Audit before prescription.
If you want to know what your agency should change, start by validating how it actually operates now. The Audit turns that evidence into a roadmap, implementation scope and confirmed Program price.
Get Your Audit & Program Estimate