Indian Revenue Service MCTP 2 · Six-slide presentation
Slide 01 / 06 Problem & significance

What is the issue—and why does it matter now?

AI is accelerating service. Excellence is still a management choice.

The managerial problem is deciding where AI should act, where it should assist, and where it should stay out.

Slide 02 / 06 Current-state diagnosis

What is happening at present—and what is not working?

We digitised the touchpoint. The burden survived the journey.

Most friction sits between touchpoints—in rules, hand-offs, queues and information the taxpayer must repeatedly reconstruct.

Slide 03 / 06 Root causes & drivers

Why does this problem persist?

The bottleneck is rarely the model.

Prediction is becoming abundant; coherent work design, usable data and authorised judgement remain scarce.

Slide 04 / 06 Options & recommendation

What can be done—and what should be chosen?

Choose augmentation over blind automation.

Task risk—not technological possibility—should determine the operating model.

Slide 05 / 06 Implementation roadmap

How will the recommendation be carried out?

Start narrow. Govern deeply. Scale what earns trust.

A pilot earns permission to expand only through observed performance and functioning safeguards.

Slide 06 / 06 Outcomes, metrics & final ask

What results are expected—and what decision is needed?

Measure what the citizen can feel—and leadership can defend.

The closing choice is a bounded Phase 1 with named ownership, an explicit scorecard and a pre-agreed stop rule.

01 · Problem & significance

Slide 01 · Full explainer
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