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USE CASE · PMS / AIF

A repeatable holdings-monitoring evidence loop

A PMS or AIF research team often needs the same questions answered across dozens of holdings: what changed in financials, who owns the stock now, did promoter pledge move, what corporate action or filing arrived, and is the data fresh enough to act on in a research process?

DalalOS gives an MCP-capable AI assistant a structured way to gather those inputs from supported Indian-market sources. It is not investment advice and does not decide what the portfolio should own.

KEY TAKEAWAYS

  • Standardise the same evidence checklist across holdings instead of relying on analyst-by-analyst browsing habits.
  • Track financial trends, shareholding, promoter pledge, corporate actions and filings with source/freshness context where available.
  • Keep portfolio judgement outside the data layer: no buy/sell verdicts, target prices or allocation recommendations.
  • Use original filings and human review for material decisions; AI accelerates collection and comparison.

A practical monitoring checklist

  • Financial trend: revenue, profitability, returns, leverage and other supported reported/mechanical measures.
  • Shareholding: promoter, FII/DII and public ownership changes where the filed data supports them.
  • Promoter pledge: current level and change over time rather than a one-point snapshot.
  • Corporate actions: dividends, splits, bonus issues and other supported disclosed events.
  • Filings: recent disclosures that may explain a numerical or ownership change.
  • Freshness: show when the underlying market/reporting data was last refreshed before interpreting it.

How the workflow runs

01

Resolve the holding

Use a canonical company identifier so the same name is tracked consistently.

02

Run the evidence checklist

Fetch financial, ownership, pledge, event and filing inputs in a repeatable sequence.

03

Escalate changes

Have the AI summarise what changed and attach the underlying source/freshness context for analyst review.

04

Review the primary evidence

Open the original disclosure for any material conclusion; the AI is an evidence assistant, not the investment committee.

Example prompts

EXAMPLE PROMPTS

  • For these holdings, flag changes in promoter holding or promoter pledge since the previous reported period. Show the underlying figures and sources.
  • Review the last five reported periods for this holding and summarise changes in revenue, operating margin, ROE/ROCE and leverage without giving an investment verdict.
  • List recent corporate actions and exchange filings for this holding, then explain which raw facts changed and which claims require reading the original filing.
  • Build the same monitoring table for these ten holdings and include a freshness field for every data block.

Research boundary

This workflow is for evidence collection and monitoring. DalalOS has no brokerage order actions and provides no portfolio recommendations, target prices or buy/sell calls. PMS/AIF fiduciary, compliance and investment decisions remain with the licensed/authorised team.

For a broader analyst workflow beyond an existing book of holdings, see the research-desk assistant use case.

FAQ

Common questions

Can DalalOS monitor a PMS or AIF portfolio?

DalalOS can supply research inputs for a holdings-monitoring workflow: company financials, ownership/shareholding, promoter pledge, corporate actions, filings and related market context where supported. It does not manage a portfolio or execute trades.

Does this workflow generate investment recommendations?

No. This is monitoring and research infrastructure, not investment advice. DalalOS provides sourced facts and mechanically-computed measures and makes no buy/sell calls, target prices or portfolio recommendations.

Can the same checks run across many holdings?

An MCP-capable agent can repeat the same research sequence across a list of names, subject to the connected client's orchestration and DalalOS usage limits. The useful pattern is a consistent checklist rather than an opaque composite score.

What should a human reviewer verify?

Material changes, original filings, freshness timestamps and any company-specific context that affects interpretation. The data layer should accelerate evidence gathering, not replace portfolio-manager or analyst judgement.

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