Agbedemejidajudaju · Ofe

AI ni Iṣẹ

Ṣe ayẹwo awọn ọran lilo ibi iṣẹ, ṣiṣe awọn awakọ ailewu, wiwọn iye, ati ṣe ibaraẹnisọrọ awọn ayipada ni ojuse.

4Awọn modulu
9Ìtọ́nisọ́nà
~6hLati pari

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Awọn abajade

Ohun ti o le ṣe

  • Select use cases using value, feasibility, and risk.
  • Run a bounded pilot with measurable success criteria.
  • Plan adoption without hiding workforce or governance impacts.

Niyanju akọkọ: Lodidi AI User

Iwe-ẹkọ

Awọn modulu dajudaju

  1. Use-case selection

    Awọn abajade: Prioritize tasks where AI can create measurable value.

    Adaṣe: Score three candidate use cases on value, feasibility, reversibility, and risk.

    Aṣayan irinṣẹ ati lafiweApẹrẹ iṣan-iṣẹ iranlọwọ AI
  2. Pilots and experiments

    Awọn abajade: Design a comparison that can reveal whether AI actually helps.

    Adaṣe: Write a pilot plan with baseline, treatment, metrics, stop conditions, and review owner.

    Ṣàdánwò ati awaoko oniruAwọn iṣiro aṣeyọri ati ibojuwoIye owo awoṣe ati awọn iṣowo iṣẹ
  3. People and jobs

    Awọn abajade: Assess task changes without reducing workers to job titles.

    Adaṣe: Create a task-level impact map and reskilling plan.

    Workforce and job impactsAI career readinessIbaraẹnisọrọ ti awọn alabaṣepọ
  4. Operational governance

    Awọn abajade: Assign ownership for approvals, monitoring, and incidents.

    Adaṣe: Build a lightweight responsibility matrix for one deployed workflow.

    Ijọba ati iṣiroIdahun iṣẹlẹ AIAsiri ati mimu data

Ti a lo capstone

AI pilot proposal

Produce a decision-ready pilot proposal for a real organization.

  • Use-case scorecard
  • Baseline and success metrics
  • Risk controls
  • Adoption and review plan