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AI Use Case Identification

Turn "We Want AI" into Defined Use Cases

Vague goals produce failed projects. We define each AI use case with a clear scope, trigger, data need and success metric, so you know exactly what to build and how you will know it worked.

50+ ERP and software projects. Zero failed projects since 2021.

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Use case
📜
Invoice data extraction
Trigger
A supplier invoice arrives by email.
What AI does
Reads it, extracts the lines, and matches the purchase order.
Value
Hours of keying removed, fewer matching errors.
90%less manual handling (illustrative)
1 to 2 wk
Typical engagement
Clear
Scope per use case
1
Success metric each
Ranked
By value and effort
Why It Matters

A vague AI goal is a project waiting to fail

"Use AI in sales" is not something you can build. A defined use case with a success metric is.

Scope Before Build

Define the goal before a line of code

We turn a broad idea into a specific brief: what starts it, what the AI does, the data it needs, and what a good result looks like. That focus is what keeps a project from drifting.

  • A clear trigger and scope.
  • The data and systems it touches.
  • A success metric everyone agrees on.
Defining an AI use case scope
Feasible, Not Just Exciting

Pick use cases you can actually build

We check each idea against the data you have and the systems you run, then rank them by value and feasibility, so you start with the ones that pay back and are realistic today.

  • Checked against your real data.
  • Ranked by value and feasibility.
  • A shortlist worth building now.
Checking AI use cases against real data
Example Use Cases

The kind of briefs we define

Each one has a trigger, a clear job for the AI, and the value it delivers.

📜
Invoice data extraction
Trigger
An invoice arrives by email.
What AI does
Reads and extracts the lines, matches the order.
Value
Hours of keying removed, cleaner data.
📈
Sales lead scoring
Trigger
A new lead enters the CRM.
What AI does
Scores it and suggests the next action.
Value
Reps focus on the leads worth chasing.
📦
Demand forecasting
Trigger
A weekly planning cycle runs.
What AI does
Predicts demand and flags reorder risks.
Value
Fewer stockouts and less dead stock.
🎟
Support ticket triage
Trigger
A customer ticket comes in.
What AI does
Classifies it and routes it to the right team.
Value
Faster first response, less manual sorting.
🔍
Document search
Trigger
Someone asks a question in plain language.
What AI does
Finds the answer across your documents.
Value
Answers in seconds, not a folder hunt.
📷
Quality photo inspection
Trigger
A part is photographed on the line.
What AI does
Checks it for defects against the standard.
Value
Consistent checks, fewer defects shipped.
How It Works

How we define your use cases

1
Workshop
We sit with each team and surface where AI could help.
2
Draft briefs
We write each candidate as a clear use-case brief.
3
Check feasibility
We test each against the data and systems you have.
4
Set metrics
We define what success looks like for each one.
5
Rank and hand over
We rank them by value and feasibility and hand them over.
What You Get

What the engagement delivers

📝

Use-case briefs

A clear brief for each use case: trigger, action, data, systems and value.

🎯

Success metrics

A defined measure of success for each, so you can prove it worked.

📊

Value and effort ranking

Each use case scored, so you start where the return is clearest.

💾

Data and system needs

What data and systems each use case touches, and any gaps to close.

✅

Feasibility check

An honest read on which use cases are realistic with what you have today.

🧩

Vendor-neutral output

Briefs you can build with any partner or your own team, no lock-in.

Why Define First

What clear use cases change

Clear
Scope per project
Measurable
Success, defined up front
Fewer
Projects that drift
Right
Use cases to start with
Feasible
With the data you have
Faster
Path to a working build
Why Us

Why teams choose TCB Infotech to scope AI

1
We know the systems
We build ERP and software, so we scope against your real data and stack.
2
Concrete over hype
Every use case has a scope and a metric, not a buzzword.
3
Feasibility honesty
If a use case is not realistic yet, we say so and explain why.
4
Value focus
We rank by return, so you build the ones that pay back first.
5
No lock-in
The briefs are yours to build with anyone.
6
Proven delivery
50+ projects across industries, with zero failed projects since 2021.
FAQ

AI use case identification questions

What is AI use case identification?
It is the work of turning a broad AI goal into specific use cases. For each one we define the scope, the trigger, what the AI does, the data it needs and the success metric, so the project has a clear goal before anyone builds.
Why not just start building?
Building without a defined use case is how projects drift and fail. A clear brief with a success metric keeps the work focused and makes it possible to know whether it worked.
What is in a use-case brief?
The trigger that starts it, what the AI does, the data and systems it touches, who uses the result, and the metric that defines success.
How many use cases do you define?
As many as are worth defining, then we rank them by value and feasibility so you start with the ones that pay back and are realistic with the data you have.
How long does it take?
A focused engagement usually takes one to two weeks, depending on how many candidate use cases and departments are involved.
Do we have to build with TCB afterwards?
No. The briefs are yours to build with any partner or your own team. There is no lock-in.

Define the Right AI Use Cases

Book a free consultation. We will look at your business and show you the AI use cases worth defining and building first.

Book a Free Consultation →

No commitment. A practical first look at your best AI use cases.

AI Use Case Identification Features

What Is Inside a Use-Case Brief

The output is a set of clear briefs, not a list of ideas. Here is what we define, how we test it, and what you walk away with.

Core Features

From a broad goal to a buildable brief

Scope and Trigger

We pin down exactly what each use case does

For every candidate we define what starts it, what the AI does, and where it fits in the process, so there is no ambiguity about what is being built.

  • A clear trigger for each use case.
  • The exact job the AI performs.
  • Where it sits in the workflow.
Defining the scope of an AI use case
Data and Feasibility

We check it against the data you actually have

A use case is only real if the data supports it. We map the data and systems each one needs, flag the gaps, and give an honest read on what is feasible today.

  • The data and systems each use case touches.
  • Gaps to close before building.
  • An honest feasibility rating.
Checking data and feasibility for AI
Metrics and Ranking

We define success and rank by value

Each brief carries a success metric, so you can prove it worked, and we rank the whole set by value and effort so you know which to build first.

  • A success metric for each use case.
  • A value and effort ranking.
  • A clear shortlist to start with.
Ranking AI use cases by value
What You Get

Everything the engagement delivers

📝

Use-case briefs

A clear brief for each: trigger, action, data, systems and value.

🎯

Success metrics

A defined measure of success for each, so you can prove it worked.

📊

Value and effort ranking

Each use case scored, so you start where the return is clearest.

💾

Data and system needs

What each use case touches, and any gaps to close first.

✅

Feasibility check

An honest read on what is realistic with what you have today.

🧩

Vendor-neutral output

Briefs you can build with any partner or your own team.