Find the decisions holding the system together.
Make the hidden authority, dependencies, constraints, and workarounds visible.
Advisory for consequential AI decisions
AI changes decisions before it changes jobs.
We help leadership teams decide where AI belongs, who remains accountable, and what the organization must change to make the strategy real.
What decision are you carrying?
Map where AI may advise, where people must decide, and who owns the exceptions.
Shape a working sessionThe work begins before the tool
Strategy has to survive contact with the organization.
Give accountability a working structure.
Define roles, review thresholds, evidence requirements, and routes for exceptions.
Turn the model into routines teams can use.
Move from a policy or slide deck to operating practice, leadership cadence, and adoption.
The practice
Four points where AI strategy becomes organizational work.
Direction
Decide what AI should change
Frame the business problem, the role of AI, and the tradeoffs leadership is prepared to own.
AuthoritySet decision rights
Define where AI may recommend or act, where people must decide, and how exceptions move.
SystemRedesign the operating model
Translate the ambition into roles, workflows, controls, incentives, and evidence.
LeadershipPrepare people to carry it
Build the language, judgment, and working cadence required to lead the change in public.
Principal-led by design
Close enough to the work to see what will break.
Wadda Salah Eldin leads every engagement. Nearly two decades across enterprise transformation, venture building, digital media, and research shape a practice focused on the human side of AI: who decides, who carries the consequence, and how the work must change.
Meet the practiceCurrent research
Questions worth working through before the next decision.
Governance
The Decision-Rights Map
A practical framework for deciding where AI may act, where people retain authority, and how exceptions should move.
InfrastructureAfter the Cloud
A three-part research series about the operating consequences of moving AI across cloud, edge, and device environments.
Regulated AIAI Sovereignty Is an Accountability Question
Regulation and risk frameworks are changing what organizations must know about models, data, providers, and human oversight.
Bring one live decision. We will help you give it structure.
Start with the situation, the constraint, and what needs to become possible.
Request a working session