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AI in practice: real use cases across industries.

One practical use case every day: the problem, how AI helps, what to start with and the guardrails to keep. Written for owners and finance, operations and compliance teams. Looking for tax, audit and compliance updates? See CA Insights on the main website.

CA Insights (main site)Ask CA Nimesh80 use cases · refreshed 8 Nov 2026, 10:20 PM IST
Showing: Non-profitShow all
Non-profitQuick start

Donor thank-you notes and impact reports

The problem
Small teams struggle to thank donors and report outcomes on time.
How AI helps
AI drafts personalised thank-you notes and turns field data into impact reports for each donor.
Start with
Language model, donor database.
Guardrails
Staff review facts and numbers and donor data is protected.
Full details

Example in practice

After a school-kit drive, each donor receives a personal thank-you with the number of kits their gift funded and a photo update from the field data.

How it works

  1. Prepare a donor list with gift details and consent.
  2. Draft personalised messages from a template.
  3. Turn field data into a short impact summary per donor.
  4. Staff check numbers and send.

Data you need

Donor records, programme data and photos with permission.

Measure success

  • Time to thank donors
  • Repeat donations
  • Report turnaround
  • Corrections needed

Indicative rollout

Days 1-3: pick one process and collect 20-30 real samples. Week 1: test with an approved AI assistant and compare with the manual result. Week 2: write the checklist and review step, then use it on live work. Timing is indicative and depends on your data and systems.

Data handling

Use approved tools only, keep personal and confidential data protected as required by law (for example the Digital Personal Data Protection Act, 2023 in India), and keep a person responsible for every decision that affects people.

Discuss this for your business →
Non-profitQuick start

Grant search and proposal drafting

The problem
Finding suitable grants and writing proposals takes weeks.
How AI helps
A model matches your programmes to funder criteria and drafts proposal sections from past submissions.
Start with
Language model, library of past proposals.
Guardrails
Check eligibility and figures yourself before submission.
Full details

Example in practice

The organisation uploads its programme descriptions. The model lists three matching funders with criteria and drafts the need statement and outcomes section from past proposals.

How it works

  1. Compile programme descriptions and past proposals.
  2. Match against funder criteria and deadlines.
  3. Draft sections in the funder format.
  4. Staff verify eligibility, budget and claims before submission.

Data you need

Programme data, past proposals, budgets and funder guidelines.

Measure success

  • Time per proposal
  • Proposals submitted
  • Success rate
  • Funder queries on figures

Indicative rollout

Days 1-3: pick one process and collect 20-30 real samples. Week 1: test with an approved AI assistant and compare with the manual result. Week 2: write the checklist and review step, then use it on live work. Timing is indicative and depends on your data and systems.

Data handling

Use approved tools only, keep personal and confidential data protected as required by law (for example the Digital Personal Data Protection Act, 2023 in India), and keep a person responsible for every decision that affects people.

Discuss this for your business →

Case studies from the field

Real examples from public sources, selected automatically and updated through the day. Each opens the original publisher.

General08 Nov 2026

Microsoft employees raise concerns over AI strategy amid 60,000-person buyout offer

The letter, cited in a report byThe New York Times, accuses Microsoft of pursuing AI with a “speed-at-all-costs” approach and urges the company to stop linking employees' use of AI tools to performance rewards or reprimands.

Read at Economic Times AI ↗
General07 Nov 2026

Equinix seeking land for India data centres: CEO

The world’s largest data centre operator by footprint, valued at nearly $100 billion, has invested $365 million in India and sees significant opportunities in AI inference, the process of using trained models to generate response…

Read at Economic Times AI ↗
General06 Nov 2026

Key Republicans seek briefing from Nvidia CEO over Chinese spy allegations

The New York Times reported last month that US authorities were investigating Alice Huang, a former executive of Singpore-based company Megaspeed, which buys AI chips from Nvidia. US authorities have scrutinized Megaspeed over su…

Read at Economic Times AI ↗
General05 Nov 2026

Apple seeks about $7 billion from bond sale: Bloomberg News

The iPhone maker is the latest major tech company to tap debt markets as the sector raises large sums to fund AI expansion. Apple did not immediately respond to a Reuters request for comment. Reuters could not independently verif…

Read at Economic Times AI ↗
General05 Nov 2026

Foxconn posts highest-ever monthly revenue in October, up 45.73 pc YoY on AI demand

According to the company's unaudited monthly revenue report released on Thursday, October revenue increased 12.66 per cent from NT$1.159 trillion (USD 35.18 billion) in September 2026, marking the highest single-month revenue in …

Read at Economic Times AI ↗
General05 Nov 2026

China blocks SoftBank's $5.4 billion takeover of ABB's robotics division: FT

Softbank had agreed to buy ABB's robotics business in October last year, as CEO Masayoshi Son sought to establish SoftBank as a core player in the development of artificial intelligence.

Read at Economic Times AI ↗

Links lead to third-party sites. Some sources are technology vendors, so results quoted there are the publisher's claims; treat them as examples, not benchmarks.

Updates are reproduced as short excerpts with a link to the original official source. They are for general information, not professional advice, and the original document prevails. Need to know how an update affects your business? Talk to us.

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