Short answer: you can get AI-driven stock ideas in India, but do it through SEBI-registered/authorized providers (or your broker) and treat AI suggestions as signals — not guaranteed advice. Below is a practical, step‑by‑step plan plus what to watch for and some provider-types to consider.

1. Understand the regulatory baseline (must-do)

• SEBI requires investment advisers and platforms offering advice to follow disclosure, registration and consumer‑protection rules (including disclosing any use of AI). Verify a provider is SEBI‑registered or officially permitted before paying for “advice.” (TaxGuru.in)

2. Decide what you want from “AI-driven tips”

• Real‑time trade signals (intraday/algo execution).
• Longer‑term stock selection or portfolio construction.
• Research summaries / idea generation (not personalized advice). Each has different risk, cost and regulatory profiles.

3. Where to get AI-driven signals in India (types of providers)

• Full-service broker platforms: large brokers sometimes add AI tools and research inside their apps (e.g., broker research modules, signal engines). Prefer brokers that are SEBI‑regulated. (Check broker disclosures.)
• Specialist fintechs / “quant”/AI platforms: platforms that deliver screened lists, model portfolios, or signal feeds (some combine ML models with fundamentals/technicals). Make sure they are registered or linked to a registered adviser/platform. (outlookbusiness.com)
• Independent algorithmic trading / backtesting tools: for more technical users who want to run or subscribe to algos (note: SEBI has new track/trace and registration requirements for algo trading by retail users/providers). (Reuters.com)
• Research aggregators / AI assistants: new AI finance pages/agents (some global AI firms are expanding India data integrations). Confirm data sources and compliance. (economictimes.indiatimes.com)

4. How to evaluate an AI service (checklist)

• Regulation: Is the firm/individual SEBI‑registered as an Investment Adviser / Research Analyst / Broker, or operating on a SEBI‑recognized platform? Ask for registration details and check SEBI’s register.
• Transparency: What data does the model use (NSE/BSE ticks, fundamentals, alternate data)? How often updated?
• Explainability & process: Do they disclose model approach, risk limits, typical holding periods, and backtest methodology?
• Performance claims: Be skeptical of absolute return claims — SEBI has been tightening controls on performance advertising. Ask for methodology, sample sizes, and out‑of‑sample results. (LiveMint.com)
• Track record & audits: Is there audited backtesting or third‑party validation? Can you access historical signals to paper‑trade first?
• Cost & fees: flat subscription vs commission vs “success fee.” Confirm total cost including broker execution/slippage.
• Data security & privacy: if the provider uses your portfolio data or custodian access, check data handling and AI disclosures (SEBI requires disclosure of AI usage by advisers). (TaxGuru.in)

5. Practical steps to start (actionable)

• Step 1: Decide the role of AI in your plan (signal generator vs fully automated execution).
• Step 2: Shortlist 2–3 providers (broker + one independent AI/quant service) that are SEBI‑registered or tied to a registered intermediary.
• Step 3: Paper‑trade their signals for at least 2–3 months (or run them in a small live allocation) to measure hit‑rate, drawdown and real costs.
• Step 4: Limit position sizing, set stop loss / risk rules, and keep diversification — never allocate your whole portfolio on a single model.
• Step 5: Reassess monthly: check signal consistency, update frequency, and any regulatory/news changes.

6. If you prefer a DIY route (more control)

• Data: subscribe to reliable Indian market data (NSE/BSE tick/ohlc, corporate filings, fundamentals). Brokers like Zerodha/Upstox provide APIs; some data vendors provide feeds for a fee.
• Modeling: use ML models for ranking stocks, factor models, or signal ensembles; backtest thoroughly with walk‑forward validation.
• Execution: connect to broker API and add risk controls. Note: SEBI requires registration/traceability for certain algo trading activities — check thresholds. (Reuters.com)

7. Risks & pitfalls (don’t ignore these)

• Overfitting: many AI models perform well in backtest but fail live.
• Data and latency: Indian markets can be sensitive to intraday liquidity and slippage — real execution results differ from simulated performance.
• Regulatory changes: SEBI has recently tightened rules around finfluencers, digital platforms, algorithmic trading and disclosure of AI use — these can affect availability and marketing of AI tips. Always confirm current compliance. (business-standard.com)

8. Quick provider discovery (where to look)

• Your existing SEBI‑registered broker’s marketplace / app.
• SEBI‑registered investment advisers and research analyst firms that disclose AI use.
• Well‑known Indian fintechs that publish methodology and registration details.
• Tech news / reputable finance outlets and SEBI press releases to confirm legitimacy before subscribing. (economictimes.indiatimes.com)

9. Final recommendations (practical rules of thumb)

• Always verify SEBI registration and ask for the firm’s disclosure about AI usage.
• Start small and validate performance yourself with paper trading.
• Treat AI signals as one input among fundamentals, macro view and your risk tolerance.
• Keep up with SEBI guidance — the regulator has been active on digital platforms, finfluencer content and algo trading. (TaxGuru.in)

If you want, I can:

• look up SEBI’s public register for a specific provider name you give, or
• list a few SEBI‑registered firms or broker marketplaces (and their public disclosures) that offer AI/quant tools right now.