Initial Consultation
A collaborative conversation about your business, possible workflow candidates, and whether Snow Cap is a plausible fit.
Analysis before implementation
Find the AI workflows worth building. We examine how work moves through your business, identify practical automation opportunities, and recommend the right implementation shape before you commit to ongoing managed work.
A deliberate first step
AI automation only makes sense when a workflow is valuable enough to operate, specific enough to design, and safe enough to supervise. Workflow Discovery tests those assumptions before a managed retainer enters the conversation.
The engagement path
You do not need to arrive with perfect process documentation or a fully formed AI project.
A collaborative conversation about your business, possible workflow candidates, and whether Snow Cap is a plausible fit.
A deeper analysis of how the work runs, where AI may fit, what constraints matter, and whether the economics support ongoing work.
A practical recommendation of which managed workflows to pursue, the likely implementation shape, and whether a retainer is justified.
What we examine
Discovery reconstructs the real operating process, including the informal steps that may never have been documented.
What starts the work, what information it depends on, and what a useful result needs to contain.
Where information lives, how it moves today, and which connections a future workflow may require.
Which decisions need people, which actions require authorization, and where escalation or guardrails belong.
How often the work occurs, what manual drag it creates, and whether managed operation can plausibly justify its cost.
The recommendation
The output is intentionally practical: enough analysis to make a sound implementation decision without turning discovery into a sprawling transformation project.
The recommendation identifies the strongest initial managed AI workflow candidates.
It outlines the likely implementation shape, including the relevant systems and review model.
It names material risks, constraints, permissions, and guardrails that should influence the design.
It provides the ROI rationale and says clearly when the numbers or workflow shape do not support a retainer.
The purpose is to make a better decision, not manufacture a reason to proceed.
Common questions
Not necessarily. The first step is a lighter Initial Consultation. Workflow Discovery follows when that conversation suggests a plausible fit and a deeper analysis is warranted.
For ongoing managed AI work, yes. It is the analysis step that prevents building the wrong workflow simply because AI sounds useful.
No. Part of Discovery is understanding how the workflow really runs today, including informal steps and workarounds that are not documented.
Then the recommendation should say so. A no-build or simpler-path answer is more useful than creating a managed workflow that will not earn its keep.
Initial consultation
We will talk through your business, answer questions, and determine at a high level whether Workflow Discovery is the right next step.
Book an initial consultation