AI Governance Dashboard for IN

IN-specific obligations covered

The output is anchored on the regulations that apply to AI deployments in IN. The top frameworks cited:

• Digital Personal Data Protection Act 2023 (DPDPA)national_law · In force

  Data fiduciaries must obtain valid consent before processing personal data, implement reasonable security safeguards, respond to data principal rights requests including erasure and grievance redressal, and notify the Data Protection Board and affected individuals of data breaches.

• Information Technology Act 2000 and IT (Amendment) Act 2008national_law · In force

  Intermediaries hosting AI services must implement reasonable security practices as per CERT-In directions, comply with government orders to remove unlawful content within 36 hours, and publish user agreements disclosing data practices.

• CERT-In Directions on Information Security Practices 2022regulatory_direction · In force

  Covered organisations operating AI systems must synchronise ICT clocks with NTP servers, maintain logs of all significant activities for 180 days within India, and report cybersecurity incidents — including AI system breaches — to CERT-In within 6 hours.

• RBI Framework for Responsible AI and Machine Learning in Financial Servicesregulatory_guidance · In force

  RBI-regulated entities using AI for credit decisions, fraud detection, or customer interactions must implement model risk management frameworks including independent validation, maintain explainability for adverse decisions, and designate board-level accountability for AI governance.

How the AI Governance Dashboard approaches this

You describe your organisation — jurisdiction, industry, staff size, risk appetite, AI tools currently in use — and answer an 8-question self-assessment covering Structure (governance body + RACI), Foundations (AI tool register + AI usage policy), Operational (KPI tracking + training programme), and Assurance (board reporting + policy/audit schedule). The tool produces a complete, structured governance programme tailored to that context, sized to your maturity stage, and ready for board / leadership review.

The Executive Summary Word document is a one-page sign-off artefact for board / exec review with three visual charts. The PowerPoint board pack is a 7-slide deck designed to drop straight into your next leadership meeting deck without modification. The Excel workbook is the working operational instrument that lives with the AI Governance Champion: assign owners on the RACI sheet, track 90-day roadmap actions, set Current Baseline values on the 12 KPIs, populate the quarterly Board Report template, and watch the live Dashboard radar + doughnut refresh as you make progress. All three artefacts are AI-assisted drafting aids intended to accelerate review by qualified governance, compliance, and sector-regulatory practitioners — not replace them.

What you get

• ✓ Three artefacts, three jobs: Executive Summary (.docx) for sign-off, Board Pack (.pptx) for the next leadership meeting, Operational Workbook (.xlsx) for the AI Governance Champion — same governance programme, same source of truth, no fragmentation across tools.
• ✓ Live-formula Dashboard with native Excel radar (governance maturity by domain) + doughnut (overall completion %) — toggling a Status cell anywhere in the Roadmap or KPI Dashboard recomputes both charts without regeneration. The user-edited Intake Answers sheet drives the radar, so the dashboard reflects the customer's self-assessment as it evolves over the programme.
• ✓ Right-sized to your maturity stage: the recommended structure for a 11–50 staff organisation is a single AI Governance Champion, not a full board committee. For 1,000+ staff, the workbook recommends a multi-tier governance structure with board sub-committee, cross-functional working group, and embedded champions — sized to what your organisation can realistically sustain.
• ✓ Anchored to recognised governance standards across all 10 sheets: NIST AI RMF GOVERN-1.x and MEASURE-1.x function tiers, ISO/IEC 42001:2023 Clauses 5–9 (leadership / planning / support / operation / performance evaluation), with sector-specific regulator overlays (FCA Consumer Duty, ICO accountability principle, EU AI Act Art. 4 AI literacy, FDA Good Machine Learning Practice, NYDFS Cybersecurity Regulation 23 NYCRR 500.16, and others as applicable to your jurisdiction × industry).

Ready to generate?

$59 · one-time — answer a 6-question intake (including jurisdiction = IN), and download your tailored document immediately.

Also available framed for your sector → see industry-specific pages