Executives before tool purchase
Teams that are being asked to adopt AI but still need to identify the business problem, decision owner, and measurable outcome first.
AI Consulting
AI consulting services
In-Stars turns FortuneTek management consulting experience into AI adoption planning, use-case mapping, data maturity review, risk controls, ROI validation, and a practical 90-day PoC roadmap.
Book an AI adoption consultation
Who This Is For
When an AI idea needs to become a business decision
If the topic is already important but the scope, evidence, owner, or budget decision is still unclear, In-Stars can help organize the first practical path.
Departments with too many AI ideas
Teams that have many suggestions from vendors, staff, or management and need a practical way to decide what to test first.
SMEs preparing a first AI pilot
Companies that need a focused pilot with usable data, clear user steps, and a budget decision boundary.
Consultation Flow
How we choose the first AI pilot instead of chasing every tool
In-Stars turns FortuneTek management consulting experience into AI adoption planning, use-case mapping, data maturity review, risk controls, ROI validation, and a practical 90-day PoC roadmap.
Business problem review
Start from the process, decision, customer experience, or cost issue that needs to improve, not from a tool list.
Use-case scoring
Rank ideas by data availability, owner clarity, risk, implementation effort, and measurable business value.
Data and permission check
Clarify which data can be used, who may access it, what cannot be exposed, and how outputs should be reviewed.
First pilot recommendation
Select the first 60-90 day pilot or decide that training, process cleanup, or knowledge preparation should happen first.
Decision Prep
From AI interest to a testable business decision
The first AI discussion should leave the team with a ranked decision: which problem is worth testing, what evidence is needed, and what should wait.
Current process and pain point
Bring one process or decision that is slow, costly, inconsistent, or difficult to scale.
Available data and systems
List documents, spreadsheets, CRM/ERP data, support records, images, sensor data, or tools already used by the team.
Decision owner and success metric
Identify who can approve the next step and what evidence would prove the pilot is worth continuing.
Outputs
Decision material for management, data owners, and pilot teams
The first output is a decision package: what to do next, what evidence is missing, who should own it, and whether the topic is ready for a proposal, grant, training plan, or PoC.
AI opportunity map
A ranked view of possible use cases with value, risk, data, owner, and suggested next step.
Pilot decision brief
A concise business note explaining what to test first, what to avoid, and what evidence is still missing.
Governance starter checklist
A first list of data, permission, review, and risk controls needed before daily AI use.
Timeline And Boundaries
A practical cadence for a first AI adoption review
60-90 minute AI adoption review
Review the business problem, process, data, risk, and decision goal.
Use-case map and pilot recommendation
Turn discussion into a ranked use-case map and a suggested first pilot or preparation path.
Focused pilot boundary
Run one measurable pilot instead of trying to transform the whole company at once.
Consultation Prep
What to prepare before an AI consulting call
Before the first call, prepare one business process, the available data sources, the decision owner, current pain points, and the result that would justify the next investment.
Current process and pain point
Bring one process or decision that is slow, costly, inconsistent, or difficult to scale.
Available data and systems
List documents, spreadsheets, CRM/ERP data, support records, images, sensor data, or tools already used by the team.
Decision owner and success metric
Identify who can approve the next step and what evidence would prove the pilot is worth continuing.
Turn the topic into an actionable next step
Share the current business topic and expected outcome. In-Stars will help choose the right next step across AI consulting, grant assessment, industry-academia collaboration, Japan DX (Digital Transformation), or PoC planning.