ServicesAdvisory
Not every organization needs Celadon to build something. Advisory is standing access to senior, vendor-neutral judgment for leaders making AI decisions with their own teams, their own engineers, and their own suppliers.
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Platform vendors recommend their platform. Systems integrators recommend a large integration. Internal teams advocate for the approach they already know. Each of those views may be right, but none of them is disinterested, and a leader without a technical background has no straightforward way to referee.
Advisory is a standing relationship with someone who is not bidding on the implementation. The recommendation is made in your interest — including when the recommendation is that your internal team is already on the right track and does not need outside help.
A senior read on a proposed design before it is committed: where it will hold, where it will strain, and what it will cost to change later.
Evaluating proposals, contracts, and claims on data handling, hosting, controls, capability, and total cost — without a stake in the outcome.
Helping an internal team define what correct means for their system and build a test set that will actually catch regressions.
A structured second opinion on which initiatives deserve funding, which should be deferred, and which are solving a process problem with software.
Practical guidance on access, retention, review paths, and disclosure — proportionate to the risk rather than to the anxiety.
Briefings that give non-technical leadership an accurate mental model, so they can ask better questions of their own teams and suppliers.
Advisory does not include implementation, and it is not unlimited access. It is a defined amount of senior time each month — sessions, reviews, and written recommendations — at a fixed retainer typically in the $5,000–$12,000 range, rather than an open line for any question at any hour.
If the work needs building, that is Build. If the question is which workflow to fund in the first place, a Decision Sprint answers it faster and more thoroughly than a retainer will.
A focused conversation about the decisions in front of you and where independent judgment would be worth having.
A focused conversation about the business problem, the systems involved, the constraints, and what would need to be true for AI to create measurable value.
