Professionals do not need a list of ten thousand prompts. They need a small set of standing instructions for the work they do every week, a way to check what the tool produces, and rules for what never leaves the company. This page lays out that operating system by function: IT, HR, operations, sales and finance.
IT
Announcements of planned downtime in non-technical words with the two things users must do; how-to guides with one action per step and the expected screen after each; incident reports management can read (what happened, impact, cause, fix, prevention with an owner and date); ticket triage where a rule handles the obvious cases and an AI classification handles the rest. The safe-agent mission in BANAO covers where a human must stay in the loop.
HR
Job descriptions without clichés (ban them explicitly in the instruction); policy reminders with a warm tone and a stated reason; rejections that are respectful and useful; standardising messy spreadsheets with a mapping table; onboarding checklists derived from the SOP with owners and dates. HR data is the most sensitive in the building: describe structures, never paste employee rows into public tools.
Operations
Escalation emails with dates in a list, one request and a calm consequence; reconciliation of two lists by a stable key into matched, missing on each side, duplicates and conflicts; SOPs turned into printable checklists with sign-off; delivery dashboards defined as five KPIs with formulas and targets; obligation registers extracted from contracts with clause numbers. The BANAO Data Reconciliation mission and the free ReconNimble tool cover the mechanics.
Sales
Follow-ups that address the two concerns the prospect raised in their own words; reactivations with one value line and one easy question; value propositions without superlatives; honest comparisons with a column for what you do not do; objection sheets with evidence. The rule that matters most: no invented claims about your product or theirs.
Finance
GST-inclusive amounts split into taxable value and tax with rounding that reconciles to the paisa; receivables ageing buckets by customer; anomaly flags on expense claims (duplicates, outliers, weekend claims); buy-versus-lease comparisons with stated assumptions; management narratives that turn numbers into what happened, why, what next and what is needed, with every number sourced.
The three rules across all functions
- Verification before use. Numbers, dates, names and claims are checked against the source. Ask the tool for its assumptions and for what it could not verify.
- Placeholders always. Names, phone numbers, amounts, identifiers and customer data become [NAME], [PHONE], [AMOUNT], [ID] before anything is pasted.
- Standing instructions, not one-off prompts. Each recurring task gets a saved instruction with purpose, fixed context, limits, output template and the questions to ask when information is missing. KARO ends with five of them; BANAO turns them into an operating system.
What "advanced" means here
A worked example: the escalation that got a reply
An operations manager had three late deliveries from one vendor and an inbox of polite reminders that changed nothing. The instruction that worked: "Write an escalation email to [MANAGER] at [VENDOR]. Deliveries were late on [D1], [D2] and [D3], delaying two customer orders. Ask for a written recovery plan by [DATE] and state that we will review the contract otherwise. Factual, calm, bullet list of dates, under 150 words." The tool produced a message with no adjectives, three dated bullets, one request and one consequence. The vendor's manager replied within a day. The lesson is not that AI writes better emails; it is that the manager finally wrote down the facts, the ask and the consequence, and the tool arranged them.
Measuring whether any of this works
Professionals should treat AI use the way they treat any process change: measure it. Keep a simple log for a month: task, minutes before, minutes after, whether the output needed rework. Many find that writing and comparing tasks get noticeably faster while research tasks change less, because research still needs judgement. AajAI's AI Score gives a second measure: instruct better, and the eight dimension scores rise. Neither number is a promise; both are evidence.
Not longer prompts. Better questions to the tool (discovery first), deliberate counter-evidence (ask for the strongest case against your plan), premortems (imagine it failed, list why), an AI jury (three perspectives argue, you judge), and a personal automation backlog that also lists what not to automate. These are the BANAO Hidden Moves, positioned as unusual practical workflows, never as secrets.
Start with the free surfaces
Take the AI Readiness Score (two minutes, no signup), try today's challenge, and run the free sample mission. If the Coach check makes you better at instructing a tool in ten minutes, SAMJHO for ₹50 (taxes included, timer starts when you decide) is the next step. There are no countdowns and no income claims anywhere on this site; the certificate records practice and a Coach-checked score, nothing more.
Questions
Which course should a working professional start with?
Take the free AI Score; it recommends a tier. Most professionals who already use AI weekly start with KARO (21 work missions). If your requests are still one-liners, SAMJHO first: the formula has to become automatic.
Can my team learn together?
Team packs of 5, 20 or 50 seats give every learner the same missions and Coach checks, and the manager a view of activation, AI Score bands and completion, never submissions. GST invoices carry your GSTIN.
Do you cover tools like Copilot or Gemini for Workspace?
Yes, through the Tool Selector and role variants on missions. The instruction formula is tool-independent; the missions note where a company tool changes the workflow.
How is privacy handled for company data?
The missions teach placeholders and data rules; the Coach flags personal data in attempts; and the BANAO mission on responsible AI produces your written rules for staff. AajAI itself never sends prompts or results to third-party analytics.