Accelerated Drafting and Structured Communication

• By the conclusion of this program, participants will be able to draft emails, reports, and presentations two to three times faster. They will utilize prompt frameworks that include defining the Role, Goal, Constraints, and Output Schema, progressing through stages such as Brief, Outline, Draft, and Tighten. Task decomposition will be guided by acceptance criteria and OutputSchema definitions, ensuring outputs are structured for direct integration into slides and Standard Operating Procedures (SOPs) using Markdown tables or JSON formats.
• Mastery will be demonstrated through a 20-minute write-up that scores highly in clarity, evidence, and actionability.

Transforming Notes into Actionable Insights

• Participants will learn to convert unstructured notes and tables into organized insights supported by verifiable sources. This includes producing summaries, bullet points, SWOT analyses, risk assessments with mitigations, and assigning owners and dates. Skills in entity extraction, such as identifying names, dates, and amounts with inline citations and a References block, will be developed. Each claim will be traceable to its source using a traceability map.
• Mastery proof involves conducting a red-team review of a peer’s summary, highlighting missing evidence and weak claims.

AI-Assisted Spreadsheet Analysis

• Learners will analyze spreadsheet data with AI support, focusing on both the “what” and the “why.” This covers cleaning plans—such as type normalization, deduplication, and outlier flagging—while producing auditable change logs. Participants will explain formulas and pivots in plain language, select the most effective visualizations, and conduct sensitivity analyses with transparent assumptions and caveats.
• Mastery is demonstrated by delivering a five-slide story and a one-page technical appendix.

Building AI-Accelerated Workflows

• Participants will establish end-to-end AI-accelerated workflows, moving from intake to draft, review, and publish. Intake briefs will capture objectives, audiences, constraints, sources, deadlines, and success metrics. Review gates will include fact-checking, policy checks, stakeholder sign-off, and comprehensive change logs. The publish phase will generate final deliverables, approvals, distribution notes, and archive records for knowledge management.
• Mastery is shown through a workflow diagram and a reusable prompt kit with accompanying README documentation.

No-Code Automation of Repetitive Tasks

• Learners will automate at least one repetitive task using no-code integrations. Examples include generating daily digests, converting meeting notes into actionable tasks, summarizing tickets, transforming spreadsheets into briefs, and managing email triage. Essential guardrails like input validation, Personally Identifiable Information (PII) redaction, and mandatory manual approvals for external communications will be implemented. Observability features such as timestamped logs of inputs, outputs, and exceptions will ensure robust audits.
• Mastery proof consists of a live demo, an operations checklist, and rollback instructions.

Prompt Pattern Design and Reuse

• Participants will design and reuse prompt patterns, including Chain-of-Thought Lite, Role+Rules, Critic/Refiner, and Few-Shot Scaffolds. They will generate schema-first results, such as JSON outputs, to seamlessly integrate with downstream tools. A patterns library will be created, complete with use-case tags, risk levels, owners, and documentation of failure modes.
• Mastery is achieved by contributing two patterns with practical examples.

Building a Lightweight Copilot for Document Retrieval

• Attendees will construct a lightweight copilot capable of answering questions using private documents, retrieval techniques, and citations. The copilot will operate within approved folders, enforce exclusion rules for confidential or regulated content, and refine retrieval with chunking, metadata filters, and mandatory citation policies. It will also feature “I don’t know” responses and support human escalation when necessary.
• Mastery proof is provided through a Q&A demonstration with clickable citations and handling of unknown queries.

End-to-End AI-Assisted Meeting Management

• Participants will run AI-assisted meeting loops, starting with a pre-read digest, followed by an agenda with timeboxes and target decisions. Real-time capture of decisions, owners, and due dates will be synchronized with team tools. The process will culminate in the distribution of minutes, action trackers, and risk logs within 30 minutes of meeting completion.
• Mastery is validated by completing two meeting cycles with at least 20% faster follow-up completion rates.

Output Validation and Quality Assurance

• All outputs will be validated through a six-step Quality Assurance checklist: grounding, numerics, references, bias scan, privacy/PII checks, and red-team prompts. Each deliverable will include a “confidence & caveats” block to ensure transparency.
• Mastery is demonstrated by passing a blind QA review with zero critical defects.

Responsible AI Use and Policy Compliance

• Learners will apply responsible-use rules and undergo policy spot-checks covering safety, privacy, intellectual property, export controls, and handling of regulated content. Model Risk Management processes—including purpose definition, testing, monitoring, and rollback—will be implemented.
• Mastery is proved by achieving a score of 90% or higher in a 10-minute scenario check.

ROI Estimation and Prioritization

• Participants will estimate Return on Investment (ROI) and prioritize initiatives using an impact-versus-effort matrix. They will quantify time savings, error reduction, risk exposure changes, and compliance improvements, tagging opportunities as Now, Next, or Later, and assigning owners and dates.
• Mastery is achieved by preparing a one-page business case that secures sponsor approval.

Audit-Ready Documentation of AI Deliverables

• Attendees will maintain an audit-ready trail for AI-assisted deliverables, archiving inputs, prompts, versions, comments, and approvals with timestamps. Each deliverable will include policy attestations, data-handling declarations, and reviewer sign-offs.
• Mastery is demonstrated by passing a mock audit with complete and traceable evidence.

Stretch Achievements (Plus Track)

•    Deploy a role-specific copilot featuring retrieval, citations, and unknown handling.
•       Publish a team prompt patterns pack (at least six patterns) with documented failure modes and red-team tests.
•    Ship at least one no-code automation to production, complete with logs, alerts, and rollback procedures.

Assessment and Evidence

• Participants will assemble a portfolio containing one data story, one automation, one mini-copilot, and one audit trail. The assessment rubric will cover clarity, grounding, risk handling, impact, and reproducibility. To pass, all core items must be complete, with no critical QA or policy findings.

Suggested Labs

•        Speed Draft: Progress from brief to outline to final memo, under timed conditions.
•         Messy→Meaning: Transform notes and CSV files into summaries, SWOT analyses, actions, and citations.
•         No-Code Bot: Build a digest or ticket summarizer with approval and logging features.
•        Copilot Mini-POC: Load three policy documents and enable Q&A with citations and unknowns.

Artifacts to Take Back

•        Prompt kits for drafting, analysis, and meetings, plus a role workflow and six-step QA checklist.
•        No-code automation recipe and rollback playbook.
•        Mini-copilot with retrieval and mandatory citations (using sandbox data).
•        Audit trail template covering inputs, prompts, versions, and approvals.