The Index · Manufacturing

India AI-Native Index · Edition one · Public evidence only

Tata Steel

Scored on public evidence published between February 2025 and August 2026, reviewed through 30 August 2026, under the Edition 1 locked rule set (ANS-100/P v2.1, 1-floor on every question). Provisional result and evidence annexure sent to the company fourteen days before publication.

47.1Score out of 100
AI IntegratedBand · 41–60
BConfidence · 5 of 8 evidence categories
SecurityCeilings triggered

Bands are calibrated thresholds on the published scale, not ranks.

What this assessment is, and is not

The Index measures what a company has placed on the public record about its use of AI, within the evidence window, against a published rubric. It does not measure business performance, product quality, safety, customer outcomes, or the adequacy of internal controls. A low score on any question means that, in the public sources listed below, reviewed through the cut-off date, disclosure sufficient to satisfy the published criterion was not located. The company may maintain relevant practices or controls that are not publicly disclosed.

By dimension

Knowledge & context
50%
Agents & automation
56%
Model & infrastructure
25%
Data & AI security
33%
Organisation
50%
Economics & outcomes
50%
Business-model exposure
56%

Each dimension is the share of available points earned on the questions that could be scored from public evidence. 24 of 35 questions were scoreable; the remainder are outside the public-evidence instrument.

Evidence located

Questions on which the reviewed public sources contained disclosure meeting at least the level-2 anchor of the published rubric:

Level 3 — instances, or a disclosed number linked to a named system

  • production AI autonomy
  • AI deployed across functions
  • AI leadership and organisation
  • improvement trail and versioning
  • leadership commitment and strategic response

Level 2 — disclosed; not quantified or independently verified

  • named AI platform or knowledge substrate
  • internal AI tooling in use
  • orchestration or integration platform
  • canonical data platform
  • AI talent or training figures
  • AI-specific investment
  • AI-attributed operational rate
  • AI-native monetisation
  • position on agentic or AI-mediated exposure
  • product that could not exist before AI, with volumes

Level descriptions are those of the published rubric. The evidence annexure sent to the company lists the specific documents and passages relied on for each question.

Where disclosure meeting the criterion was not located

In the public sources listed below, reviewed through 30 August 2026, we did not locate disclosure sufficient to satisfy the Index's published criterion for the following. The company may maintain relevant practices or controls that are not publicly disclosed.

  • guardrail and evaluation documentation
  • model strategy or vendor architecture
  • hosting or infrastructure posture
  • open or external build surface
  • evaluation and benchmarking practice
  • API or integration surface
  • AI governance posture
  • role redesign around AI
  • AI attribution to reported economics

Ceiling

Security ceiling

Security ceiling triggered under the published rubric: the reviewed public evidence met the level-3 autonomy threshold, while public governance evidence remained below level 2. The resulting cap did not change the company's score. This does not establish the absence or adequacy of internal controls.

Sources reviewed

FY26 Integrated Annual Report coverage (India CSR analysis of the AR's digital section), Q1/Q2 FY26 results and BSE filings, WEF Global Lighthouse designations, steel-industry trade analyses, McKinsey Kalinganagar case study (2017-origin, admitted only as background to the continuing Lighthouse status)

Archive references

SourceOriginalArchiveCaptured
FY2024-25 Integrated Report — Intellectual Capital (WEF Lighthouse, Gartner, AI models)originalarchived copy2026-09-08
FY2024-25 Integrated Report — Intellectual Capital (WEF Lighthouse, Gartner, AI models)originalarchived copy2026-09-08
860 AI models — Chairman at 119th AGMoriginalarchived copy2026-09-08
WEF Global Lighthouse Network — Jan 2026 cohort release; Tata Steel CIO quotedoriginalarchived copy2026-09-08
119th AGM speech — 2 July 2026originalarchived copy2026-09-09

Exchange filings and reports relied on:

  • fy26 integrated annual report; annual report — exchange archive
  • Q1–Q4 FY26 results / presentations — exchange archive
  • AI / platform / product page(s) — identify from company file scoring notes
  • WEF Global Lighthouse designation

All sources archived at scoring date; the complete source archive register is available on request via corrections@thecompounding.company. Short quotations, where used, are attributed and used for the purpose of review. Right-of-reply notice sent 10 September 2026 to the Company Secretary, Investor Relations, registered office, corporate communications and legal function. Company response: none received as at publication. No response is characterised as agreement or endorsement.

This assessment is based exclusively on public information available during the stated evidence window. It does not assess undisclosed internal systems or practices. Scores and bands are opinions produced by applying the published rubric to the cited factual record. Not investment advice. The Index is not affiliated with, endorsed by, or sponsored by any assessed company.

Corrections: material factual errors are corrected promptly and logged. See the corrections log and the methodology, including its removal policy.