When the next AI move is unclear, advisory helps you choose the right one.
SplashCandy Advisory produces vendor reviews, written roadmaps, and responsible-use
guidance leadership can act on. Use it when leadership is comparing vendors,
questioning the rollout plan, or trying to turn AI interest into a decision the
business can actually support.
Which advisory track fits the decision in front of you?
You need a better first decision.
Clarify priorities, review options, and decide what deserves time, budget, or no further work. Best when there are too many ideas and no sequence, interest in AI is broad but not specific, or decisions need sharper framing before anyone acts.
The direction is chosen, but rollout is still vague.
Turn the decision into scope, owners, sequence, controls, and a first implementation path.
Review a privacy-safe example of how findings, risks, next steps, and engagement-fit guidance are structured.
AI Opportunity Map
Risk and exposure notes
Technology recommendations
Recommended next steps
Implementation fit guidance
Best when
The business needs clear judgment on a live decision.
Leadership is comparing vendors or priorities
The implementation path is still uncertain
Responsible-use questions need a business answer
Adoption risk is showing up before rollout
How does advisory support the rollout once direction is clear?
Implementation support
Turn direction into a plan people can follow.
Define phases, owners, systems, dependencies, and the first 90 days.
Workflow support
Decide what changes, what connects, and what waits.
Redesign how work moves, how decisions get made, and how teams interact with systems, so AI becomes part of useful day-to-day work. Sort workflow changes and integration priorities so the business builds what it will actually use.
What happens when tool usage stalls?
Leaders
Reset expectations and reinforce the right habits.
Help leadership define success, choose what matters now, and support adoption instead of assuming it will happen on its own.
Teams
Build practical confidence around daily use.
Training, reinforcement, and workflow alignment help the team use AI with more consistency and better judgment.