Prova का artifact

Marketing teams के लिए AI Workflow Audit Template

एक marketing workflow को map करें और तय करें कि AI को क्या automate, augment, protect या decline करना चाहिए, team के pilot commit करने से पहले.

Template के fields

Workflow stage
What AI handles today
What AI should handle in six months
What stays human and why
Ethical or operational risk: low, medium, high
Action: automate, augment, protect, decline
ICE score for pilot candidates

भरा हुआ example

नीचे भरे हुए examples English में हैं, क्योंकि Prova submitted artifacts को English में review करता है.

Client reporting workflow for a paid media account.

Data extraction from ad platforms

Metric reconciliation

Anomaly detection

Insight drafting

Strategist review

Client-ready narrative

Follow-up action list

कमज़ोर version vs मजबूत version

कमज़ोर version

Workflow stage	Reporting
AI handles today	AI writes reports
Stays human	Strategy
Risk	Medium
Action	Automate

यह क्यों कमजोर है

"Reporting" is too broad to audit.
"Strategy" does not name the judgment point.
It does not identify source systems, reconciliation risk, or who approves the client-facing narrative.
Automating the whole workflow is unsafe because the work includes interpretation and client trust.

मजबूत version

Workflow stage	Weekly paid media variance explanation for Meta, Google, and LinkedIn
AI handles today	Drafts first-pass variance notes from exported spend, revenue, CPA, and campaign-change logs
AI should handle in six months	Flags likely causes, drafts three audience-specific summaries, and proposes follow-up checks
Stays human	Strategist approves causal claims and client recommendation because platform data can be delayed or misleading
Risk	High for client narrative, medium for internal diagnosis
Action	Augment, with protected human approval before client send

यह क्यों काम करता है

The stage is specific.
Source systems are named.
The human judgment point is explicit.
Risk differs by use case.
The action is narrow enough to pilot.

Prova क्या review करता है जो generic AI अक्सर छोड़ देता है

Whether the workflow scope is specific enough to audit
Whether "stays human" reasons are concrete or just polite language
Whether high-risk stages are incorrectly classified as automate
Whether ICE scores are supported by operational reality
Whether the selected pilot is narrow enough to test
Whether the next sprint should be measurement, rollout, or foundation repair

अगला step

अपनी version पर feedback चाहिए? Prova एक छोटे assessment से शुरू होता है ताकि review standard आपकी role, goal, और पहली audience से मेल खाए. उसके बाद आप अपने current work के लिए सही sprint में जाते हैं.

Prova अभी केवल English में उपलब्ध है.

Submit करने से पहले client names, confidential numbers, और ऐसी कोई भी चीज़ हटाएं जिसे आपकी team training या coaching system में store नहीं करना चाहेगी.

English में Prova पर जाएं