INDUSTRY CAPSTONE
Meeting-to-Execution AI Workflow:Decisions, Actions & Follow-Through
Build a workflow that converts meeting transcripts or notes into decisions, owners, deadlines, risks, and follow-up actions, then validates them before creating an execution tracker.
Portfolio Project
Decision Making
Enrollment Closed
Enrollment for this capstone is closed right now. Get an email the moment it reopens.
Duration2 Weeks
DeliverySelf Paced + Mentor Review
LevelBeginner–Intermediate (Applied Productivity AI)
ResourcesSample meeting transcripts, action schema, tracker template
Professional Capability Objective
Build a workflow that converts meeting transcripts or notes into decisions, owners, deadlines, risks, and follow-up actions, then validates them before creating an execution tracker. The capstone is designed around a build-and-validate workflow so the learner produces working evidence, not only conceptual recommendations.
Industry Challenge
Important decisions and commitments are often buried in meeting notes. Generic summaries are not enough; execution requires structured actions, ownership, due dates, unresolved questions, and a reliable handoff to tracking.
Your analysis must consider:
- ▶Define a structured schema for decisions and actions.
- ▶Extract only explicit owners and dates; flag unresolved fields.
- ▶Separate decisions, actions, risks, and discussion points.
- ▶Require a human confirmation step before tasks are created.
- ▶Preserve a source snippet for every extracted action.
- ▶Track completion and generate follow-up summaries from the execution register.
Why Employers Value This
Demonstrates your ability to:
- ▶Convert unstructured meetings into structured execution data.
- ▶Handle ambiguous ownership and deadlines safely.
- ▶Automate task handoff with human confirmation.
- ▶Maintain traceability from action back to source notes.
- ▶Preserve a source snippet for every extracted action.
- ▶Track completion and generate follow-up summaries from the execution register.
Skills You'll Develop
Summarization
Condense unstructured discussion into concise, evidence-linked information without losing important context.
Decision extraction
Turn meeting content into structured decisions, actions, owners, and deadlines while flagging ambiguity.
Action-item extraction
Turn meeting content into structured decisions, actions, owners, and deadlines while flagging ambiguity.
Owner/date resolution
Turn meeting content into structured decisions, actions, owners, and deadlines while flagging ambiguity.
Workflow automation
Move validated outputs into repeatable follow-up processes and track completion over time.
Professional Portfolio Deliverables
Meeting Intelligence Extractor
A workflow that turns meeting notes into structured decisions, actions, owners, dates, and open questions.
Execution Tracker
A simple tracker that groups actions by owner, status, due date, and source meeting.
Quality & Follow-Up Rules
Validation prompts, ambiguity flags, approval step, and overdue follow-up logic.
Industry-Recognized Certificate
Stand out with a verified certificate from NetZeroX AI.
What You Will Learn
- Validation prompts, ambiguity flags, approval step, and overdue follow-up logic.
- Handle ambiguous ownership and deadlines safely.
- Automate task handoff with human confirmation.
- Maintain traceability from action back to source notes.
Program Delivery & Engagement: 4 Stages
STAGE 1
Capstone Kick-off
Design the meeting/action schema.
→
STAGE 2
Build & Analysis
Build extraction and review workflow.
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STAGE 3
Practitioner Review
Connect validated actions to a tracker and follow-up logic.
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STAGE 4
Final Submission & Demo
Demo end-to-end meeting-to-execution flow and submit quality controls.
Completion standard: submit the working artifact, evaluation evidence, limitations, and a short final presentation. The certificate should reflect demonstrated capability rather than content consumption alone.
Analyse. Compare. Recommend. Lead with Confidence.
Build in-demand commercial and analytical skills. Solve real energy & AI challenges.
Enrollment Closed
Enrollment for this capstone is closed right now. Get an email the moment it reopens.
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