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.
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.
These prompts are designed to help new Oracle conversion consultants use approved AI tools to support requirements, mapping, data quality, testing, documentation, communication, risk management, and professional development.
Every prompt you save from the library lands here with its own reflection fields. Your notes save automatically on this device.
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.
The first AI response is not the final deliverable. Use this rubric to evaluate whether an AI-assisted email, document, presentation, analysis, recommendation, or briefing is accurate, appropriate, and ready for professional use.
Are the facts, dates, names, numbers, calculations, sources, and claims correct and verified?
Does the deliverable directly address the assignment, audience need, and required decision or action?
Is the main point easy to understand, logically organized, and concise?
Are all required facts, actions, owners, deadlines, questions, and limitations included or clearly marked “To Be Confirmed”?
Is the level of detail, format, tone, and emphasis appropriate for the intended audience?
Is the tool approved, is the use case permitted, and is the information appropriate to enter and share?
Are claims supported by credible, current, and independently verified sources?
Are confirmed facts, assumptions, unknowns, and missing information clearly separated?
Is the language calm, direct, respectful, and appropriate for the situation?
Has the participant challenged, revised, verified, and professionally taken ownership of the final work?
A one-deliverable record of your scores, stop signs, revision plan, decision, and reflection. It is also included in your Day One Readiness Portfolio.
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.
Yesterday, you used AI, reviewed project information, and created deliverables for the SunCoast Energy Oracle Data Conversion Project.
Today, the question changes. The question is no longer only: Can I create the work? The question is: Can my team and the client trust the work I created?
As an Oracle Conversion Consultant, your work may influence testing, validation, project status, business decisions, client confidence, and the work of other people.
Today, you will practice how to communicate accurately, document responsibly, raise concerns professionally, receive feedback, and contribute with confidence.
Describe an observable action, not a general goal such as “be professional” or “do my best.”
AI-assisted work is still your work.
Before an email, status update, analysis, meeting summary, presentation, recommendation, decision log, or action tracker moves forward, someone must confirm that it is accurate, appropriate, supported, and defensible.
As a new consultant, you may not always have authority to send work directly to the client. However, you are still responsible for submitting work that is ready for the appropriate review process.
When working in pairs, one person serves as Source Verifier. The second person combines the Client Advocate and Risk and Accountability Reviewer roles.
Before you judge the work, rebuild what the work was supposed to do.
| Statement or Claim | Classification | Source Evidence | Action |
|---|---|---|---|
Every claim needs a source. If you cannot point to the SunCoast case material, classify it as Requires Verification.
Facts, dates, names, figures, project status, and claims are correct and verified.
The content directly addresses the assignment and audience need.
The main point is easy to understand and logically organized.
Necessary facts, actions, limitations, owners, and deadlines are included where confirmed.
The tone, terminology, detail, and format fit the intended audience.
The reader understands what must happen next.
The content does not create unsupported commitments or misleading conclusions.
Major claims are supported by the SunCoast case information or validated project records.
The language is calm, direct, respectful, and free from blame or defensiveness.
The participant can explain, support, and defend the final work.
What prevents the deliverable from moving forward?
What reduces clarity, accuracy, or usefulness?
What would improve presentation without changing the meaning?
| Original Content | Revised Content | Why the Change Matters |
|---|---|---|
A consulting team does not build trust based only on intelligence or technical skill.
Trust is built through preparation, accuracy, follow-through, communication, professional judgment, and a willingness to learn.
What makes a lead trust you with greater responsibility?
What causes a lead to lose confidence in your work?
Consultants are trusted when they name things accurately. These eight words are not interchangeable.
| Statement | Classification | Evidence | What Should Happen Next |
|---|---|---|---|
| Validation Cycle 1 was completed Friday. | |||
| Inconsistent date formats appear in multiple source files. | |||
| Jordan believes the inconsistent date formats are causing failed records. | |||
| Alicia believes existing transformation rules may resolve some records. | |||
| The August 7 validation milestone will be delayed. | |||
| No one confirmed ownership of the duplicate-account analysis. | |||
| Account classifications were validated. | |||
| Tanya’s question about account classification was not documented. | |||
| Missing communication preferences may affect customer notices. | |||
| The business team may need to be involved. | |||
| Robert requested an update before tomorrow afternoon. | |||
| The next review meeting will be Wednesday. | |||
| The next review may be Wednesday, but the time is not confirmed. |
| Scenario | Act / Ask / Escalate | Who Should Be Involved? | Next Responsible Action |
|---|---|---|---|
| A source file is missing a required column. | |||
| A client stakeholder has not answered a mapping question. | |||
| Source and target record totals do not reconcile. | |||
| You do not know which assignment is the priority. | |||
| A client asks you to guarantee August 7. | |||
| Duplicate-account analysis has no confirmed owner. | |||
| Confidential data appears in an unapproved AI tool. | |||
| Meeting notes list a proposed decision as approved. | |||
| A teammate misses an internal deadline. | |||
| Missing customer communication preferences may affect required notices. |
The facts do not change. The detail, framing, and request change with the audience.
Prepare a 30-second update for a peer who may help investigate the issue.
Prepare a 60-second internal update. The lead must determine whether the matter should be discussed with the client.
Prepare a concise client-facing update and one focused question.
Prepare a 30-second executive update.
Nothing above may be upgraded into a decision, an owner, or a deadline without confirmation.
| Update | Source | Confirmed or To Be Confirmed |
|---|---|---|
| Action | Owner | Due Date |
|---|---|---|
| Open Question | Who Can Answer |
|---|---|
| Decision | Decision Maker | Date | Basis | Impact |
|---|---|---|---|---|
| Action | Owner | Due Date | Status | Dependency |
|---|---|---|---|---|
| ID | Type | Description | Potential Impact | Owner | Response |
|---|---|---|---|---|---|
Where ownership is not confirmed, write Owner To Be Confirmed rather than assigning a name.
| Question | Why It Matters | Who Can Answer | Needed By |
|---|---|---|---|
Use Due Date To Be Confirmed, Business Validation Required, or Decision Pending where nothing is confirmed.
You will be asked a direct question in front of the team. The goal is not a perfect answer. The goal is a credible one.
Rate yourself as you felt at the beginning of today, then as you feel now. 1 = not yet, 5 = consistently.
| Skill | Beginning of Day | End of Day |
|---|---|---|
| Reviewing work for client readiness | ||
| Separating facts from assumptions | ||
| Asking clarification questions | ||
| Communicating project status | ||
| Writing professional emails | ||
| Documenting decisions and actions | ||
| Raising risks appropriately | ||
| Responding under pressure | ||
| Receiving and applying feedback | ||
| Knowing when to seek lead review |
This is your Day 2 consulting-readiness portfolio. Each line reflects what you have completed in this workbook.
Your responses save automatically in this browser. Download a copy before you close the workbook.
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 SunCoast 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 SunCoast 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.