Composite example for learning โ a realistic blend of common small-consultancy situations in Pakistan, not one real business. Services: recruitment support, payroll documentation and HR policy setups for small and mid-size local companies.
Their three problems: client reports ate one full day each; meeting notes depended on memory; the inbox buried urgent client emails under supplier spam.
| Move | How | Rule they kept |
|---|---|---|
| 1. AI-drafted client reports | Prompt like: "Draft a monthly recruitment report from these notes: 6 roles, 41 CVs screened, 9 interviews, 2 hires, 2 offers pending. Short sections: Summary, Progress, Risks, Next month." Then the consultant corrects facts and tone. | AI writes the first draft only โ a human checks every number and name before sending |
| 2. Meeting summaries | Right after each call, 5 minutes: rough notes in, any AI tool out comes a clean summary with decisions and action items, pasted to the client on WhatsApp. | Send within 2 hours โ speed is the value |
| 3. Email triage | Three labels: CLIENT / BILLING / LATER. Anything from a paying client is answered same day; newsletters batched to Fridays. | Inbox zero decisions, not zero emails |
| Result | Before | After ~2 months |
|---|---|---|
| Monthly report turnaround | ~1 working day each | ~2โ3 hours (draft in minutes, checking is the work) |
| Consultant hours saved | โ | roughly 6โ10 hours/week across the team |
| Copy-paste / version errors in reports | common | markedly fewer โ one template, one check step |
| Client response time | 1โ2 days | same day for CLIENT-labeled mail |