The Joi Method • Prepared for Diversified Technology Inc.
Your working companion for all three days. Type directly into every field. Your answers save on this device as you go.
Welcome. I have been looking forward to this.
You are about to spend three days building the skills that quietly decide who clients trust on an engagement. Not the loudest person in the room. The clearest one. The one who can use a powerful tool with judgment, say the hard thing with grace, and leave a paper trail that protects the whole team.
Here is the truth that runs through everything this week: AI amplifies who you already are. It does not replace your thinking, your voice, or your name on the work. It makes a prepared professional faster and a careful one sharper. My job these three days is to make sure you are that professional before you ever walk onto a client site.
This workbook is yours. Write in it honestly, even when the honest answer is "I am not sure yet." That is where the growth lives. Nobody is grading your first draft. We are building toward Day One together.
Let's get to work.Joi Worthy Johnson | The Joi Method
AI literacy is not simply the ability to enter a prompt. It is the ability to determine when AI should be used, how to provide effective direction, how to evaluate the output and how to protect clients, organizations and people from unnecessary risk.
Fictional training scenario. Every exercise in this workbook builds on one case: the SunCoast Energy Data Conversion Project. Open the case file any time; your answers stay exactly where you left them.
Before we explore AI, communication, documentation and Agile delivery, we must first establish how we will work together. This is a practice environment with real professional standards. Every participant is expected to contribute, ask questions, provide constructive feedback, protect confidentiality and support the growth of the cohort.
You will interview one member of the cohort and introduce that person to the group. Listen for more than their job title or professional history. Identify what they bring to a team, how they want to grow and what will help them perform at their best.
For all six participants to learn, practice and perform at their best, everyone must help protect the learning environment.
These six statements are editable. Adjust the language as a cohort until every person can stand behind it.
Before we begin, name what you want. Growth follows attention, and this is where you point yours.
How prepared do you currently feel to contribute in a client-facing consulting environment? This score is saved and compared with your Day 3 post-assessment.
You understand a thing when you can explain it plainly. After the demo, write each term the way you would say it to a colleague, not the textbook way.
As Accenture consultants, you may encounter different AI platforms depending on your role, project, client, geography, license and security requirements.
Embedded across Word, Excel, PowerPoint, Outlook and Teams.
Conversational assistant inside the Microsoft environment.
Enterprise-governed general assistant.
Development and code assistance.
Model services built into secured cloud solutions.
Delivery acceleration platform.
Enterprise AI solution development.
Whatever the client has approved on their own environment.
The tool may change. The responsibility does not.
This training builds the transferable skills underneath the tools.
Participants may later receive more hands-on training for the specific AI platform used on their engagement. The next three days are focused on AI literacy, professional judgment, responsible use and practical consulting application, not product certification.
Before we talk about what AI can do, let's be precise about what you actually have access to and what you have already tried.
Seven places AI shows up in consulting work. We will practice all seven in the DTI AI Toolkit after we build the prompting method.
On a utility data conversion engagement, where does the time actually go? Map a typical day, then mark where AI could save you fifteen minutes or more.
A lazy prompt gets lazy output. Three letters, and you will never stare at a blank prompt box again.
Fill each field, then build your complete prompt at the bottom and copy it straight into your approved AI tool.
Use the DTI Prompt Method on each task. Capture the prompt you used and the one refinement that improved it. The reps matter more than the results.
Open each card as we work it. Every exercise is fictional. Do not use real client names, confidential data or proprietary information anywhere in this workbook.
This activity uses the fictional SunCoast Energy Consulting Case File.
Follow-up emails, escalation emails, executive updates, requests for action and clarifying questions.
Accuracy of every fact and date, the tone toward the recipient, the commitment being made on behalf of the team, and confidentiality of anything pasted in.
This activity uses the fictional SunCoast Energy Consulting Case File.
Meeting notes, decision logs, action trackers, status reports, process documentation and requirements summaries.
Whether a decision was actually made, who truly owns each action, dates that are real, and never letting a summary invent an agreement.
| Item | Decision or action | Owner | Deadline | Status | Open question | Source or evidence |
|---|---|---|---|---|---|---|
This activity uses the fictional SunCoast Energy Consulting Case File.
Storyline development, executive summaries, decision-based slide titles, recommendations and speaker preparation.
Every number on every slide, the defensibility of each recommendation, and the fact that structure may come from AI but substance is owned by you.
This activity uses the fictional SunCoast Energy Consulting Case File.
Concept illustrations, generic process visuals, brainstorming visual directions and presentation support.
Copyright, brand use, bias, real-person likeness, fabricated evidence, client representation and confidentiality. An image that misrepresents reality is a professional risk, not a design choice.
This activity uses the fictional SunCoast Energy Consulting Case File.
Framing the question, generating search directions, summarizing material you already have and challenging your own conclusion.
Independently confirming every source, every citation, every statistic and every date before it reaches a client.
This activity uses the fictional SunCoast Energy Consulting Case File.
Test-case development, acceptance criteria, edge cases, requirement ambiguity and defect documentation.
Confirming the requirement is real, surfacing ambiguity to the right person rather than assuming, and never letting a generated test case stand in for a validated one.
This activity uses the fictional SunCoast Energy Consulting Case File.
Trend identification, outlier review, formula support, questions for further investigation and naming the limitations of the data.
Validating the data, the methodology and the conclusion before anyone acts on it.
Five seconds of thought before you press enter is the whole difference between a helpful tool and an incident report. PAUSE is the primary AI safety framework for this program.
PAUSE Before You Prompt
Run this every single time. It becomes muscle memory faster than you think.
Use this before any prompt that touches client work. Clear it and reuse it as often as you need.
A short reflection after PAUSE, before the work leaves your hands.
This activity uses the fictional SunCoast Energy Consulting Case File.
In a regulated utility environment, what goes into a tool matters as much as what comes out. For each scenario, choose your path and defend it.
A consultant receives a meeting transcript containing client names, employee names, system details, customer information and unresolved implementation issues. The consultant wants to paste the complete transcript into an AI platform to create meeting notes before the next client meeting.

A consultant wants AI to generate test cases using a document that contains proprietary system requirements, client data fields and internal project details.

A consultant wants AI to produce an executive presentation containing current project metrics, unresolved risks, financial consequences and client-specific information.

Typical strong answer: Modify or sanitize, and use only an approved enterprise tool. Escalate if the transcript covers a regulated or contested issue.
Risk: Named individuals, customer information, system identifiers and unresolved issues create confidentiality, privacy and discoverability exposure. Unresolved issues summarized by AI can also freeze a premature narrative.
Remove: Client and employee names, customer records, org identifiers, system names and version details, account numbers, anything tying the text to a specific client.
Approval: Client contract AI clause, engagement lead sign-off, and confirmation the tool retains no training data.
Safer alternative: Summarize a de-identified extract inside the approved enterprise tool, or draft the summary manually and use AI only to tighten the language.
Coaching point: Listen for participants who justify convenience over permission. The transcript is the client's record, not the consultant's.
Typical strong answer: Use only an approved enterprise tool with sanitized inputs.
Risk: Proprietary requirements, client data fields and internal project details are intellectual property. Pasting them into a consumer tool may breach the agreement and expose the client's data model.
Remove: Real field names, table and schema names, sample records, client-specific business rules and any vendor configuration details.
Approval: Client data-handling terms, QA lead and security review of the tool.
Safer alternative: Generalize the requirement into a neutral pattern ("a customer record with an effective date"), generate test cases, then map them back to real fields offline.
Coaching point: Test cases are a great AI use case — the risk lives entirely in the input, not the output.
Typical strong answer: Escalate before proceeding, then use an approved enterprise tool with sanitized inputs.
Risk: Current metrics, unresolved risks and financial consequences are the most sensitive category on any engagement. Fabricated or overstated figures in a client deck create contractual and reputational exposure.
Remove: Actual financial figures, client name and branding, live risk register entries, anything not yet validated by the project lead.
Approval: Engagement partner or project lead, and client communications protocol for financial impact statements.
Safer alternative: Use AI for structure and slide titles only. Insert the numbers yourself after they are validated. Never let a model generate a figure that will be read as fact.
Coaching point: The strongest answers separate structure (safe for AI) from substance (owned by the human). Remind the room that the participant view intentionally has no single correct answer, because policy differs by company and client.
This activity uses the fictional SunCoast Energy Consulting Case File.
AI builds the scaffolding. You carry the moment. This is the whole thesis of Day 1 in one exercise.
Score any AI-assisted output before it leaves your hands. Anything under a 4 gets fixed before it gets sent.
This is not a worksheet. It is a professional artifact that travels with you onto your first engagement. Write it like you mean it, because you will live by it.
Keep this. On your first engagement, it is your field reference and your standard.
Bring forward the situation from last night. Naming the moment you held back is how you learn to speak up next time.
Rate yourself honestly. This is your starting line, not your grade. You will take it again at the end of the week and watch how far you moved.
This activity uses the fictional SunCoast Energy Consulting Case File.
Same project update: one win, one risk, one ask. Now say it three ways. If a listener cannot instantly tell who each version is for, the map needs work.
This activity uses the fictional SunCoast Energy Consulting Case File.
There is a METHOD to executive presence. Rate yourself honestly now. This is your baseline, and you will rate yourself again after the Executive Walkthrough on Day 3.
Capture the feedback you receive in the room. This is gold. You will not remember it tomorrow unless you write it down now.
This activity uses the fictional SunCoast Energy Consulting Case File.
This activity uses the fictional SunCoast Energy Consulting Case File.
On a utility sprint that is running Yellow, write the update. Honest, not spun. The formula: state it plainly, show you understand the impact, present the recovery plan, make the ask.
This activity uses the fictional SunCoast Energy Consulting Case File.
Document the mock sprint review as it happens. Notes are not a transcript. They are a record of decisions, owners, and deadlines. Everything else is optional.
This activity uses the fictional SunCoast Energy Consulting Case File.
Build your tracker from the meeting you just documented. In a regulated environment, this is what defends you and the client.
| Action | Owner | Due | Status |
|---|---|---|---|
Every row needs an owner with a name and a real due date. "The team" is not an owner.
Agile is a meeting rhythm and a set of expectations, not a certification. Learn the loop, learn what is expected of you in each ceremony, and you can contribute from week one.
This activity uses the fictional SunCoast Energy Consulting Case File.
You are a consultant on the CPS Energy data conversion engagement. The PM is stressed and moving fast. Draft your standup update from your role card, then deliver it.
This activity uses the fictional SunCoast Energy Consulting Case File.
Knowing what to solve yourself, what to raise to your lead, and what goes to the PM immediately is a core consulting judgment. Map yours.
This activity uses the fictional SunCoast Energy Consulting Case File.
You are a DTI consultant on Day One of a large-scale CPS Energy implementation. Five escalating challenges. Stay in character, use everything you built this week, and capture a quick note to yourself after each. Your facilitator is scoring, so give it everything.
This activity uses the fictional SunCoast Energy Consulting Case File.
A five-minute status to a senior executive. This is the moment everything converges. After you deliver, rate yourself on METHOD again and see how far you moved since Tuesday.
During your one-on-one, write down what your facilitator names. You will want this on your first day.
The same eight statements from Day 2. Rate yourself now, at the end of the week, and look at how far you moved. This is your growth, in your own hand.
This is yours to keep. When you walk onto your first DTI engagement and the room feels fast, come back here. Everything you practiced is on this page.
Two ways to take this with you. Save the full workbook, or download the condensed portfolio.
This condensed portfolio includes the professional commitments, feedback, assessments, and field-reference tools you will want after training.
SunCoast Energy, its employees, project details, systems, records, metrics and business issues were created exclusively for this training. They do not represent a real DTI or Accenture client.
Do not enter real client-confidential, proprietary, regulated, personally identifiable or restricted information while completing these exercises.
Customer Data Conversion Readiness
For the next three days, you are part of the DTI consulting team supporting SunCoast Energy.
Every exercise will build on the same engagement. You will analyze information, use AI responsibly, communicate recommendations, document decisions, participate in Agile delivery activities and respond to increasing levels of pressure.
Your job is not to know everything immediately. Your job is to clearly identify:
SunCoast Energy is replacing its legacy Customer Information System with a new cloud-based platform.
The project requires the migration of approximately 1.2 million fictional customer account records from the legacy system into the new platform.
The converted data includes:
The fictional DTI consulting team is supporting data conversion, validation, testing, documentation and issue resolution.
The project is currently in the validation phase. Initial testing has identified several data-quality concerns that may affect the upcoming conversion milestone. The client has requested a clear update before the next project review.
During testing, the team discovered inconsistencies in a sample of customer account records. The issues include:
The full business and schedule impact has not been confirmed. The project manager is concerned that unresolved issues could delay the next validation cycle. The client has not yet been formally notified of a potential delay.
Maria Chen
Vice President, Customer Operations — SunCoast Energy
What she cares about
Communication preference
Robert Fields
Client Project Director — SunCoast Energy
What he cares about
Communication preference
Tanya Brooks
Billing Operations Manager — SunCoast Energy
What she cares about
Communication preference
Marcus Reed
DTI Project Manager
What he cares about
Current situation
Alicia Grant
Data Conversion Lead
Current situation
Jordan Blake
Testing Lead
Current situation
The six cohort participants are new DTI consultants supporting data analysis, documentation, testing support, action tracking, meeting preparation and client communication.
| Milestone | Planned Date | Current Status |
|---|---|---|
| Data extraction completed | July 15 | ✓ Complete |
| Initial transformation completed | July 22 | ✓ Complete |
| Validation Cycle 1 | July 28 | ! Complete with issues |
| Defect review | August 3 | ● In progress |
| Validation Cycle 2 | August 7 | ⚠ At risk |
| Client readiness review | August 10 | ● Scheduled |
| Final conversion rehearsal | August 17 | ○ Not started |
| Data Issue | Records Reviewed | Records Affected | Observed Error Rate | Current Owner | Status |
|---|---|---|---|---|---|
| Inconsistent date formats | 25,000 | 3,750 | 15.0% | Unassigned | ⚠ Open |
| Missing service-start dates | 25,000 | 875 | 3.5% | Data Team | ● Investigating |
| Duplicate customer accounts | 25,000 | 425 | 1.7% | Conversion Team | ⚠ Open |
| Incorrect account classification | 25,000 | 625 | 2.5% | Business Team | ! Reviewing |
| Missing communication preferences | 25,000 | 1,250 | 5.0% | Client Operations | ⚠ Open |
Reminder: Separate observations from assumptions, conclusions and recommendations.
These notes were captured quickly during a fictional internal project discussion. They are incomplete, unstructured, and contain missing ownership and deadline information.
Validation Cycle 1 completed Friday. The date-format issue appears in multiple source files. Jordan believes the inconsistent date formats are causing failed records, but Alicia says the existing transformation rules may resolve some of them.
Marcus wants to know whether the August 7 validation date is still realistic.
No one confirmed who owns the duplicate-account issue.
Tanya asked last week whether account classifications were validated, but the response was not documented.
The client has not been informed about a possible schedule impact.
Robert wants an update before tomorrow afternoon.
More analysis is needed.
Someone should determine whether missing communication preferences could affect required customer notices.
The business team may need to be involved.
The next review meeting may be Wednesday, but the time has not been confirmed.
In your workbook you will build the meeting summary, decision log, action tracker, open questions and risk escalation notes.
What risks should a utility consider when customer data is converted into a new Customer Information System?
Participants should use AI to help develop a research plan, not as the final authority.
The new system must correctly convert all customer service-start dates.
The requirement is intentionally incomplete. Use AI and professional judgment to identify missing business rules, clarification questions, test scenarios, expected results, edge cases, acceptance criteria and escalation questions.
Create a five-slide executive storyline covering:
Coaching guidance: Use conclusion-based slide titles. Avoid vague slide titles such as “Data Issues,” “Current Status” or “Next Steps.” Stronger titles communicate the meaning of the slide, not only its topic.
A consultant wants to create an AI-generated image showing an upset utility customer standing beside a disconnected electric meter for an executive presentation about the project’s data-quality risks.
Record and defend your decision in the workbook.
For each scenario, determine the safest and most professionally responsible next action.
Available choices:
A consultant receives a meeting transcript containing client names, employee names, customer account information, system details and unresolved implementation risks. The consultant wants to paste the complete transcript into a personal AI account to create meeting notes before the next client meeting.
A consultant wants to upload proprietary system requirements, client field mappings and internal project details into an AI tool to generate test cases.
A consultant wants AI to create an executive presentation using current project metrics, unresolved risks, estimated financial consequences and client-specific information.
During the fictional SunCoast Energy data-conversion project, initial testing of 25,000 customer records identified inconsistent date formats in 15% of the sample. Additional data-quality issues were also identified.
The sample may not represent the full fictional population of approximately 1.2 million records. Validation Cycle 2 is scheduled for August 7, but the impact on that milestone has not been confirmed.
Marcus Reed, the DTI project manager, needs a concise update before speaking with the client.
Prepare:
On Day 2, you will continue working as the DTI consulting team supporting SunCoast Energy. You will use the same case information to practice adapting communication for different audiences and producing defensible project documentation.
Prepare the same project update for:
Marcus says: “I do not need another list of problems. Tell me what is happening, what it affects, and what you recommend.”
Draft a professional response that communicates the project risk without declaring an unsupported delay.
Prepare a Yellow project-status update that includes progress, risk, impact, mitigation, owner and decision needed.
Use the raw meeting notes in Evidence File A to create a meeting summary, decision log, action tracker, open questions and escalations.
On Day 3, the SunCoast Energy engagement will become the setting for your Agile participation activities and Day One Simulation.
Prepare a 60-second update covering what I completed, what I am doing next, my blocker or risk, the impact and what I need from the team.
Use the fictional project evidence to clearly state the facts, the level of impact, the action already taken and the guidance or decision needed.
A testing artifact remains incomplete two hours before the sprint review. Determine what must be completed, what can be deferred, what must be documented, who must be notified and what decision is required.
A teammate has failed to update the action tracker for three days and has not completed the duplicate-account analysis. Prepare a direct professional conversation addressing the missed commitment, the impact, the expected action, support needed, a revised deadline and possible escalation.
Prepare a five-minute project-status walkthrough for Maria Chen focused on current status, what has been confirmed, what remains unknown, business impact, response plan and decision required.