How to Identify the Right Claude Code Use Case for Your Business Before You Book Any Training

Most businesses that invest in Claude Code training walk away with a skill they can't immediately use. Not because the training was poor, not because Claude Code is too complex, but because nobody asked the right question before the session started: what specific problem are we actually trying to automate?

This is the scoping gap. It sits between "we should learn AI coding tools" and "we have a working automation that saves us twelve hours a week." Skipping it is expensive. You end up in a workshop building toy examples that don't translate to your actual workflow, or you train your team on capabilities that don't match the bottlenecks you have. The training itself might be excellent. The ROI on your investment, though, is close to zero.

This guide is a pre-training scoping framework. Work through it before you book anything, and you'll arrive at your first Claude Code training session with a defined problem, a clear success metric, and a realistic sense of what the tool can and can't do for your business. That single shift, from vague curiosity to scoped problem, is what separates the businesses that extract real value from Claude Code from those that add it to a growing list of "tools we tried."

What Is Claude Code Actually Built to Do?

Claude Code is Anthropic's agentic coding tool. It reads your codebase, edits files, runs terminal commands, and works with your development environment from the terminal, IDE extensions, a desktop app, and the web. It does not just generate code snippets for you to copy and paste. It operates with meaningful autonomy on real files in your real environment, which is both its power and the reason scoping matters so much.

Understanding this distinction matters before you scope your use case. Claude Code is not a chatbot that writes Python for you. It is a tool that can navigate a file structure, understand context across multiple files, make edits, execute commands, and iterate based on results. It operates on Anthropic's servers even when running locally in your terminal, which means any file content Claude Code processes is sent to Anthropic's infrastructure. For most business workflows this is fine, but if your processes involve regulated data or confidential client files, you need to account for this before you build anything.

Access to Claude Code requires a Claude subscription or an Anthropic Console account. The recommended installation method uses a native installer. If you've seen older documentation referencing an npm install method or Node.js as a prerequisite, that guidance is deprecated. The current setup path is straightforward, and your training provider should walk you through it as part of onboarding.

What does this mean for scoping? It means your use cases need to involve tasks that are:

• File-based or code-based (Claude Code reads and edits actual files)
• Repeatable enough to justify building an automated workflow
• Not dependent on data that can't leave your environment for compliance reasons
• Complex enough that a simpler tool wouldn't solve them, but not so complex that they require deep systems architecture work before automation is viable

The sweet spot for Claude Code automation for business is the middle tier of technical complexity: tasks that are too structured and repetitive for creative human work, but too nuanced for simple scripts or form-based tools. Report generation from raw data files, codebase refactoring, internal tool building, documentation automation, and data pipeline construction all sit comfortably in this tier.

Why Most Business Use Cases Fail Before Training Even Starts

The most common failure mode isn't choosing the wrong tool. It's choosing the right tool for the wrong version of the problem. Businesses arrive at Claude Code training with use cases phrased like "automate our reporting" or "help our developers move faster." These aren't use cases. They're directions. And directions don't give you a way to measure whether the training worked.

Here's what happens when a use case is underdeveloped. The trainer builds a demonstration that's technically impressive but doesn't match the actual data format your team uses. Your team practices on synthetic examples that don't reflect the edge cases in your real workflow. You leave the workshop knowing how to do something, but not knowing how to do your thing. Two weeks later, nobody has shipped anything, and the tool gets shelved alongside a dozen other "promising" experiments.

The three dimensions of a well-scoped use case are:

1. The input: What files, data, or system state does the task start with?
2. The output: What does a successful completion look like, in specific terms?
3. The frequency: How often does this task occur, and who currently does it?

A poorly scoped use case: "Automate our client reporting."

A well-scoped use case: "Each Monday, a team member manually pulls a CSV export from our analytics platform, reformats it into our branded Excel template, adds a written summary paragraph, and emails it to twelve clients. This takes roughly three hours per week. We want to automate the reformatting and summary generation steps, leaving the email send as a manual review step."

Notice the difference. The second version gives a trainer enough information to build a real working demonstration. It gives you a way to measure success. It identifies where human review stays in the loop. And it tells you exactly how much time automation could recover.

Before you book any Claude Code training, the goal of this guide is to get you to that second level of specificity for at least one use case, and ideally two or three, so you can prioritize which to tackle first.

Step 1: Audit Your Weekly Workflows for Repetitive, File-Based Tasks

Estimated time: 60-90 minutes. Tools needed: A spreadsheet or note-taking tool, access to your team's calendars or task logs.

Start with an honest inventory. For every role in your business, or at least the roles most likely to benefit from automation, list every recurring task that involves creating, modifying, or processing files. Don't filter yet. Capture everything.

Useful prompts for this audit:

• What do you do every week that feels like "filling in the same template again"?
• What tasks do you dread because they're tedious but not hard?
• What would you delegate first if you hired an assistant tomorrow?
• Where do mistakes happen not because the work is difficult but because it's repetitive?
• What does your team copy, paste, reformat, or manually transfer between systems regularly?

Common categories that surface in this audit for businesses considering claude code for small business implementation:

• Report generation from raw data exports
• Code refactoring or updating dependencies across a codebase
• Documentation writing from code, specs, or meeting notes
• Data cleaning and normalization before analysis
• Internal tool development (admin panels, dashboards, scripts)
• Transforming data from one format to another (CSV to JSON, Excel to database, etc.)
• Generating first drafts of templated content from structured data
• Setting up project scaffolding or boilerplate

For each item on your list, record four things in your spreadsheet:

1. Task name (be specific)
2. Current time cost (per occurrence and per month)
3. Who does it (their role and approximate hourly cost to the business)
4. Input/output format (what does it start with, what does it produce)

Common mistake: Including tasks that are repetitive but not file-based. Scheduling meetings, answering emails, and managing approvals are workflow problems, but they're not typically Claude Code problems. Claude Code works on files, code, and structured data. Keep your audit focused on that domain.

Pro tip: Ask your developers or technical team members separately from your operations or marketing team. Developers often have deeply painful repetitive tasks (updating test files, writing boilerplate, reformatting API responses) that they've normalized and won't surface unprompted. Asking directly often unlocks the highest-value use cases.

Step 2: Score Each Candidate Task on the Claude Code Fit Matrix

Estimated time: 30-45 minutes. Tools needed: Your audit spreadsheet from Step 1.

Not every repetitive task is a good Claude Code use case. Some tasks are better served by simpler tools. Some are too variable for automation. Some are high-value but require data access that creates compliance issues. The Claude Code Fit Matrix helps you score each candidate task across four dimensions so you can rank them before investing training time.

Dimension	Score 1 (Poor Fit)	Score 3 (Moderate Fit)	Score 5 (Strong Fit)
File/Code Centricity	Task is primarily communication or relationship-based	Task involves some file work but also significant human judgment	Task is almost entirely about reading, writing, or transforming files/code
Repetition Frequency	Happens fewer than once a month	Happens weekly or multiple times per month	Happens daily or multiple times per week
Rule Clarity	Highly variable; success depends on context that changes each time	Mostly consistent rules with occasional exceptions	Clear, consistent rules that could be written down explicitly
Data Sensitivity	Contains regulated data (PHI, PII under strict compliance) that cannot leave your environment	Contains some sensitive data but with appropriate handling it's manageable	No sensitive data; files are internal operational assets
Time Value	Less than one hour per month of staff time	Two to eight hours per month of staff time	More than eight hours per month of staff time

Score each task on all five dimensions and add the scores together. Maximum possible score is 25. Use this rough guide for prioritization:

• 20-25: High-priority use case. Build this first.
• 13-19: Viable use case. Worth including in training scope after your primary use case.
• 8-12: Borderline. Consider whether a simpler tool might serve better.
• Below 8: Not a strong Claude Code use case. Explore other automation paths.

Common mistake: Over-scoring tasks because they're painful, not because they're a genuine fit. A task can be genuinely frustrating and still be a poor Claude Code use case. Pain isn't the same as fit. Score honestly.

Alternative approach: If you have a development team, involve them in scoring. They'll often catch data sensitivity issues or technical constraints that non-technical stakeholders miss.

Step 3: Write the Use Case Brief for Your Top-Scoring Task

Estimated time: 45-60 minutes. Tools needed: A document editor, access to sample files for the task.

Once you've identified your top one or two use cases from the matrix, write a structured brief for each. This brief is what you'll share with your training provider before your session. It's what separates a generic workshop from a tailored training that produces something you can actually deploy.

A complete use case brief covers seven elements:

1. Task Name and Owner

Give the task a specific name and identify who currently owns it. "Weekly Analytics Report Generation, owned by Marketing Operations" is better than "reporting automation."

2. Current Workflow Description

Write out every step of the current process as if you were writing instructions for a new hire. Be precise. "Opens the CSV export, copies columns B, D, and F into the template, calculates the percentage change in column H, writes a two-paragraph summary" is the level of detail you need.

3. Input Files and Formats

Describe exactly what the task starts with. What file types? What data structures? Are the inputs consistent each time, or do they vary? Attach a sanitized sample file to the brief if possible. This single element does more to prepare your trainer than any verbal description.

4. Desired Output

Describe the finished result in specific terms. What format? What structure? What does "done" look like? If there's an existing template or example output, include it.

5. Success Criteria

How will you know the automation is working correctly? Define what acceptable output looks like and what would constitute a failure. This is your quality benchmark.

6. Current Time Cost

How many hours per week or month does this task consume? Who does it, and what's their time worth to the business? This baseline lets you measure ROI after automation.

7. Known Constraints and Edge Cases

What are the exceptions? What happens when the input is malformed? Are there compliance considerations? What does the task sometimes require that's outside the standard process? Document these now so your trainer can build them into the solution.

Pro tip: The act of writing this brief often reveals that the task isn't as consistent as you thought. That's useful information. If you can't write a clear workflow description, the task may need process clarification before it's ready for automation. Use that discovery as a signal to either tighten the process first or adjust your scope.

Warning: Don't share actual client data or files containing personally identifiable information in your brief. Sanitize all sample files before sharing them with any training provider. Use synthetic or anonymized data that preserves the structure without the sensitive content.

Step 4: Validate the Technical Feasibility Without Getting Lost in Implementation

Estimated time: 20-30 minutes. Tools needed: None, but optionally the Claude.ai web interface for a quick feasibility test.

Before you commit to training on a specific use case, do a rough feasibility check. You don't need to build anything. You're just confirming that your use case sits within what Claude Code can realistically handle, and identifying any technical prerequisites that need to be in place before training.

Ask yourself these questions for each use case:

Does the task require access to live systems or APIs during execution?

Claude Code can work with API calls within scripts, but if your automation needs real-time database connections or third-party system access, you'll need those integrations scoped separately. This doesn't make the use case invalid, but it means your training scope needs to include the integration layer, not just the core automation logic.

What environment will this automation run in?

Claude Code operates in your local terminal or IDE. If the automation needs to run on a server, in a cloud environment, or as a scheduled job, you'll need to account for the deployment context. Training can cover building the automation, but deployment to production infrastructure is a separate engineering concern.

Is the input format machine-readable?

CSV, JSON, plain text, Markdown, and most code formats are easy for Claude Code to work with. Scanned PDFs, images, and proprietary binary formats require additional preprocessing. If your inputs are in a difficult format, note this in your brief so your training session can address it.

Does your team have the necessary access and permissions?

If the automation needs to read from or write to directories that require elevated permissions, or if it needs API credentials for third-party services, ensure those are set up before training. Keep API credentials in environment variables or a dedicated secrets management approach, not hardcoded into files that might be shared or committed to version control.

Quick feasibility test: Open the Claude.ai web interface and describe your use case in a single paragraph. Ask Claude whether it seems like a good fit for Claude Code automation and what the key technical considerations would be. This isn't a substitute for proper training, but it gives you a directional read before you invest in a workshop.

For a deeper look at how to structure your automation approach and align it with broader campaign goals, the guide on building a winning strategy development process offers a useful strategic framework that translates well to automation planning.

Step 5: Map Your Team's Current Technical Baseline

Estimated time: 30-45 minutes. Tools needed: A short survey or direct conversations with team members.

Claude Code training lands differently depending on who's in the room. A team with strong Python experience will move through setup and basic scripting quickly. A team with no coding background at all will need more time on foundational concepts before they can engage meaningfully with agentic automation. Neither situation is a problem, but they require different training formats.

Before booking any claude code workshop, assess your team's baseline across four dimensions:

Skill Area	Beginner	Intermediate	Advanced
Terminal/Command Line	Has never used terminal; unfamiliar with file paths	Can navigate directories, run basic commands	Comfortable with shell scripting, environment variables
Scripting/Coding	No coding experience	Can read code and make minor edits; some Python or JS familiarity	Writes scripts regularly; comfortable debugging
AI Tool Familiarity	Minimal; occasional ChatGPT use	Regular use of AI writing or coding assistants	Has used Claude, Copilot, or similar tools in production workflows
Workflow Documentation	Processes are undocumented and live in people's heads	Some SOPs exist but are inconsistent	Clear documented workflows that could be handed off

Why does this matter for scoping? Because it determines what kind of training you need, not just what topic to cover. A team of non-technical marketers who want to automate reporting workflows needs a different training format than a development team that wants to use Claude Code to accelerate code review and refactoring. Both are valid. Both should get tailored training. Neither should get the same generic session.

Share your team's baseline assessment with your training provider alongside your use case brief. A good provider, whether you're booking a workshop or team training, will adjust the pace, assumed knowledge level, and hands-on exercises to match where your team actually is, not where a hypothetical average team is.

Common mistake: Underestimating the gap between "familiar with AI tools" and "comfortable using Claude Code." Many teams have staff who use ChatGPT daily but have never used a terminal. Claude Code requires terminal comfort at minimum. If your team is in this gap, build terminal orientation into your training scope explicitly rather than discovering it as a blocker during the session.

Step 6: Define Your Success Metric Before You Walk In the Door

Estimated time: 20-30 minutes. Tools needed: Your use case brief and your current workflow time logs.

A training session without a pre-defined success metric is just an activity. Success metrics transform training into an investment with a measurable return. Define yours before you book, and revisit them thirty days after your training to see whether the investment delivered.

For Claude Code automation use cases, the most useful success metrics fall into three categories:

Time Recovery Metrics

How many hours per month will the automation recover once it's working? Calculate this from your Step 1 audit. If the automated task currently takes four hours per week across your team, and the automation handles eighty percent of that volume, you're recovering roughly thirteen hours per month. Put a dollar value on that time using the hourly cost of the people doing it. That's your baseline ROI figure.

Quality or Error Reduction Metrics

Some tasks aren't just slow, they're error-prone. If your current process involves manual data transfer between systems, manual reformatting, or manual calculation, automation often reduces error rates significantly. Define what "error-free" looks like for your use case and track it before and after implementation.

Throughput Expansion Metrics

Some automations don't just do existing work faster; they make previously impossible work feasible. If you currently send twelve custom client reports per month because that's all your team can produce manually, and automation removes the production bottleneck, your success metric might be the number of clients you can now serve. Track the ceiling, not just the speed.

Write your primary success metric as a specific statement: "Within thirty days of training, we will have a working automation that handles the weekly report reformatting step, reducing the time this takes from three hours to under thirty minutes, with a manual review step retained before distribution."

That specificity does two things. It gives your trainer a clear definition of what "done" looks like for the session. And it gives you a concrete test to run thirty days later to determine whether the investment paid off.

Step 7: Choose the Right Training Format for Your Situation

Estimated time: 15-20 minutes. Tools needed: Your use case brief, team baseline assessment, and budget parameters.

With a scoped use case, a team baseline assessment, and a defined success metric, you're now ready to choose the right training format. Not all formats serve all situations equally. Here's how to match format to need.

Live Group Events (Beginner Orientation)

Best for teams or individuals who are new to Claude Code and want a structured introduction before diving into use-case-specific work. These sessions establish the conceptual foundation, cover setup, and demonstrate what agentic automation looks like in practice. They're the right starting point if your team baseline assessment revealed significant gaps in terminal comfort or AI tool familiarity. The Claude Code beginner training event is designed for exactly this entry point.

Use-Case Workshops

Best for teams that have a defined use case (which you now do, after completing Steps 1-6) and want to build something real during the session. A workshop format dedicates most of the session to hands-on construction of your specific automation, with expert guidance on architecture, edge cases, and testing. This is the highest-ROI format when your use case brief is well-prepared. Browse the available workshop formats to find the closest match to your use case category.

Team Training Programs

Best for organizations that want to build Claude Code capability across multiple roles or departments, rather than just one automation. Team training programs typically combine conceptual instruction with use-case-specific sessions, and they're structured to leave your team with skills they can apply independently after the program ends, not just a single working automation. If you've identified three or more high-scoring use cases from your matrix and you want your team to be able to build future automations without external help, team AI training is the right format to explore.

Training Format	Best When	Expected Outcome	Prerequisite
Live Group Beginner Event	Team is new to Claude Code; needs orientation	Conceptual foundation, tool setup, first demonstration	✅ No prior coding required
Use-Case Workshop	Specific scoped use case is ready; brief is prepared	Working automation prototype for your specific task	⚠️ Use case brief required; some terminal comfort helpful
Team Training Program	Multiple use cases; want team-wide capability	Independent automation capability across the team	⚠️ Requires organizational commitment and time allocation

Pro tip: If you're genuinely unsure which format is right, start with a beginner event. It's the lowest-commitment entry point and gives you enough exposure to Claude Code to refine your use case brief before committing to a workshop or team program. The scoping work you've done in this guide will make that first session far more productive than if you'd walked in without it.

Understanding how advanced optimization principles apply across digital tools is also useful context when thinking about how Claude Code automation fits into your broader business workflow investment.

Step 8: Anticipate the Post-Training Gap and Plan for It Now

Estimated time: 20-30 minutes. Tools needed: Your team's calendar, your use case brief.

The most overlooked element of training ROI is what happens in the two weeks after the session. This is where most automation initiatives stall. The training ends, everyone returns to their normal workload, and the momentum dissipates before anyone has shipped the actual automation. Then the tool gets labeled as "too complex" when the real issue was the absence of a post-training implementation plan.

Build your post-training plan before you book, not after. It should cover three things:

Implementation Owner

Name the specific person who will own taking the prototype from training to production deployment. This cannot be a committee. One person owns it. Everyone else supports. Without a named owner, nobody builds it.

Dedicated Implementation Time

Block time on that person's calendar in the week immediately following training. At minimum, four to six hours of focused time to take the workshop prototype, apply it to real data, handle the edge cases that didn't come up during training, and get it to a point where it's usable for the actual workflow. This time needs to be protected, not squeezed into gaps between other work.

A Review Checkpoint

Schedule a thirty-minute team check-in two weeks after training. The agenda is simple: is the automation running? If yes, what's the measured time saving? If no, what's blocking it? This checkpoint creates accountability and surfaces issues before they turn into reasons to quietly shelve the project.

The businesses that get genuine ROI from learn claude code investments are not necessarily the ones with the most technically sophisticated teams. They're the ones that treat training as the start of an implementation project, not the end of a learning activity. The scoping work you've done through this framework is the first step of that project. The training session is the second. The implementation and review cycle is the third. All three steps are required.

Frequently Asked Questions

Do I need to know how to code to benefit from Claude Code training?

Not necessarily, but some terminal familiarity helps significantly. Claude Code operates in the terminal, IDE, and other developer surfaces. Non-technical users can participate meaningfully in training, but they'll need to invest some time in terminal basics first to get full value. Many beginner-oriented training sessions include this foundation as part of the program.

How do I know if my use case is realistic for Claude Code versus a simpler automation tool?

Claude Code is well suited for tasks that require reading and modifying files, understanding code context across a project, or building custom tools that simpler drag-and-drop automation platforms can't handle. If your task is primarily moving data between SaaS tools through pre-built connectors, a tool like Zapier or Make is probably a better fit. If it requires working with code, custom file formats, or nuanced logic that doesn't fit a pre-built template, Claude Code is worth exploring.

What does Claude Code cost to run, and how should I budget for it?

Claude Code requires a Claude subscription or an Anthropic Console account. Anthropic's published pricing provides current subscription and API cost details. Based on Anthropic's cost documentation, active daily use can run roughly $13 per developer per active day, which translates to meaningful monthly spend for heavy users. Budget accordingly and test usage patterns during training before committing to production workloads.

Is it safe to use Claude Code with client data or confidential business files?

Claude Code runs in your local terminal, but the model itself runs on Anthropic's servers. Any file content Claude Code processes is sent to Anthropic's infrastructure as part of the model request. For most internal operational files, this is acceptable. For regulated data (health information, certain financial records, legally privileged documents), review Anthropic's data usage and privacy documentation and your applicable compliance obligations before using Claude Code with that data. When in doubt, sanitize inputs or use synthetic data for training and testing.

How long does it typically take to go from training to a working automation in production?

For a well-scoped, moderately complex use case, a workshop session can produce a working prototype on the day. Moving that prototype to production, with real data, edge case handling, and integration into your actual workflow, typically takes an additional four to ten hours of focused implementation work. The more complete your use case brief going into training, the shorter the gap between prototype and production.

What's the difference between a Claude Code workshop and team AI training?

A workshop is focused on building one specific thing: your use case, in a session. Team training is a program that builds broader capability across your team, covering multiple use cases and leaving participants able to scope and build future automations independently. Workshops produce faster immediate output; team training produces longer-term compounding capability.

Can non-technical team members participate in Claude Code training alongside developers?

Yes, and in many cases mixed-skill teams produce better outcomes in training because the non-technical members understand the business logic deeply while the technical members understand the implementation path. The key is ensuring the training format is designed for mixed audiences, with content that serves both without leaving either group behind.

How many use cases should I bring to a training session?

Bring your full scored list from the fit matrix, but prioritize one primary use case for the session itself. Having the full list allows your trainer to make suggestions, spot connections between use cases, and occasionally suggest a different starting point if your primary use case has an unforeseen complication. But the session should be focused on building one thing well, not touching five things lightly.

What if my use case turns out to be too complex to complete in a single training session?

This is more common than most teams expect, and it's not a failure. It's useful information. A good training session on a complex use case should produce a clear technical architecture, a working prototype of the core logic, and a defined implementation roadmap. That's a strong outcome. The goal of training isn't to ship to production in a day; it's to remove the uncertainty about how to build the thing and give you a path forward.

Should I complete the scoping framework before contacting a training provider, or can they help me scope?

Do at least Steps 1 and 2 before reaching out. Having a rough list of candidate use cases and their scores means your initial conversation with a training provider is immediately productive rather than exploratory. A good provider can help you refine your brief (Step 3) and assess feasibility (Step 4), but they can't do the workflow audit for you because they don't know your business well enough to spot the right use cases.

What happens if the automation built in training doesn't work on my real data?

This is why Step 3 (the use case brief with real sample files) matters so much. If training is done on synthetic examples that don't match your real data structure, there will always be a gap. Bring sanitized real samples to your training session. The closer your training environment is to your production environment, the fewer surprises you'll encounter during implementation.

How do I make the case for Claude Code training investment to my leadership team?

Use the output of this scoping framework. Present your top-scoring use case from the fit matrix, your current time cost baseline, your projected time recovery, and your defined success metric. Frame the training cost against the monthly time saving at your team's hourly rate. If your automation recovers eight hours per month of a $75/hour role, that's $600 per month of recovered capacity. Most training investments pay back in the first two to three months on a single use case.

Key Takeaways

• The scoping gap is the most expensive mistake in Claude Code adoption. Booking training before defining a specific use case produces low ROI, not because the tool fails but because generic training doesn't translate to real workflows.
• A well-scoped use case has three components: a specific input format, a specific output definition, and a measurable current time cost. Without all three, your use case isn't ready for training.
• The Claude Code Fit Matrix gives you a systematic way to rank candidate use cases across five dimensions: file centricity, repetition frequency, rule clarity, data sensitivity, and time value. Score before you commit.
• Your team's technical baseline determines the training format, not just the topic. Map terminal comfort, scripting familiarity, and AI tool experience before choosing between a beginner event, a use-case workshop, or a team training program.
• Claude Code runs in your terminal but processes content on Anthropic's servers. Account for data sensitivity before including any file in a Claude Code workflow. Sanitize training samples.
• Post-training implementation requires a named owner, protected calendar time, and a review checkpoint. The businesses that extract real value from Claude Code training treat the session as the beginning of an implementation project, not the end of a learning event.
• Define your success metric before the training session, not after. A specific, time-bound metric transforms training from an activity into a measurable investment with a thirty-day review cycle.
• The right training format matches your situation: beginner events for foundational orientation, use-case workshops for building a specific automation, and team training programs for building independent capability across your organization.

The scoping work in this guide takes roughly four hours to complete thoroughly. That four hours is the highest-leverage investment you can make before any Claude Code training session. It's the difference between a workshop that produces a shelf decoration and one that produces a working automation running in your business the following week.

When you're ready to take the next step, start with the Claude Code beginner training event if your team needs foundational orientation, explore the workshop options if your use case brief is ready, or reach out about team AI training if you're building capability across your organization. Bring your use case brief. That single document will make every conversation more productive from the first minute.