Before signing a major vendor contract
Assess fit, integration, implementation burden, data ownership, governance, switching costs, and whether the team can actually operate what is being sold.
Technology & AI
Do not let a vendor define the operating model for you.
Technology decisions become business decisions the moment money, data, customers, employees, or reputation are involved. We help leadership evaluate what the decision will require after the demo is over.
Where we help
The best time to pressure-test a technology decision is before the contract or rollout.
Before launching an AI or automation initiative
Separate useful leverage from novelty, identify approval paths, protect customer trust, and define where human judgment remains required.
When systems no longer match the business
Map the operating reality, find the bottlenecks, and decide whether to fix process, data, people, platform, or all of the above.
Decision frame
Useful technology survives contact with operations.
We look past feature lists and ask whether the business can govern, integrate, adopt, explain, and maintain the system in the real world.
Business value
Does the tool solve a leadership-level problem or simply digitize confusion?
Operating burden
What will the team need to change, maintain, govern, and explain?
Vendor risk
Where are the dependencies, switching costs, data risks, and contract traps?
Adoption reality
Who must use it, who must approve it, and what behavior has to change?
Decision quality
What would make this a yes, no, pilot, or later decision?
Vendor risk
Dependencies, switching costs, data ownership, contract traps, and support realities.
AI governance
Approval paths, human review, customer trust, auditability, and responsible use.
Implementation burden
The training, process, data, and management work required to make the investment useful.