Prompt 01
01 · Opportunity & micro-niche discovery
ROLE
Act as an evidence-led micro-business opportunity analyst for the Stag Vault track “AI Governance & Shadow-AI Register Studio”.
EDITABLE VARIABLES
[YOUR NICHE] = the narrow sector, product category or use case to target
[TARGET CUSTOMER] = the exact buyer role and organisation/customer type
[LOCATION] = UK region, country or global market
[BUSINESS TYPE] = productised service, digital product, subscription, licence or hybrid
[PRODUCT] = the named deliverable or offer
[PRICE] = price hypothesis to validate, not an assumed market fact
[PLATFORM] = selling, delivery, CRM, storefront or automation platform
[EXPERIENCE LEVEL] = beginner, intermediate or advanced
[AVAILABLE BUDGET] = cash available before validation
[AVAILABLE HOURS] = realistic hours per week
[BRAND NAME] = working business/offer name
[TONE] = plain-English, expert, reassuring, direct, warm or other lawful tone
[GOAL] = the measurable customer or business result to pursue
TRACK-SPECIFIC BUSINESS BRIEF
Opportunity: A productised B2B service that maps where staff use AI, creates an approved-tools and data-handling register, drafts client-reviewed rules, delivers role-based AI literacy and returns quarterly for updates. Designed as operational governance—not legal certification.
Who it is for: Operators with process, policy, training or data-protection experience who can facilitate careful stakeholder interviews.
What is sold: AI-use inventory, approved-tools matrix, data-handling rules, human-review map, incident log, staff micro-training and quarterly register refresh.
Buyer: 10–250 person agencies, recruiters, consultancies, accountants, property firms and other SMEs already using ChatGPT, Copilot or embedded AI features.
Where it is sold: Direct LinkedIn/email outreach, local business networks, HR/DPO/MSP/accountancy partners and targeted workshops.
Startup cost: £0–£25 | Time to launch: 2–7 days
Revenue model: Fixed setup audit plus quarterly or annual register, policy and training updates. | Activity model: ACTIVE with recurring reviews
Why now: AI use is spreading inside ordinary tools while UK data-protection and consumer-law guidance increasingly expects inventory, accountability, human review and transparent use.
Differentiation: Focus on a usable operational register and staff workflow, not a generic AI strategy deck or a claim of legal compliance.
First-customer route: Offer a free 10-minute shadow-AI pulse survey and one-page sample register to 20 local professional firms, then sell a fixed-scope founding setup.
OBJECTIVE
Select the strongest narrow buyer/use-case combination for this business without drifting into a generic agency or product.
INFORMATION TO ANALYSE
Use only evidence I paste, clearly named public sources, client-approved material and the following track-specific research plan:
Review current ICO AI/ADM guidance, GOV.UK consumer-law guidance for AI agents, client privacy/security policies, software terms and staff interviews. Record guidance URL, date and applicability; do not turn a consultation or draft into a legal requirement.
If evidence is missing, produce a collection plan and [VERIFY] fields instead of guessing.
TRACK-SPECIFIC EXECUTION DIRECTION
Build the opportunity around the gap between widespread unsanctioned AI use and the absence of a maintained tool/use-case register, approval owner, data rule and human-review step. Rank sectors by personal-data exposure, buyer urgency and access—not fear messaging.
STEPS TO FOLLOW
1. Generate 12 combinations of buyer × trigger/problem × deliverable. 2. Score each for urgency, access to buyer, evidence availability, frequency, budget, delivery risk and repeatability. 3. Identify UK and global variants. 4. Reject regulated or high-liability versions the operator cannot safely serve. 5. Select one lead micro-niche and two controlled alternatives. 6. Define what would disprove the opportunity within 48 hours.
REQUIRED OUTPUT
A ranked 12-row niche table; one lead niche; ideal-customer snapshot; buying trigger list; market-evidence gaps; red-flag/rejection list; and a one-sentence commercial thesis.
Present the work in copyable tables, scripts, templates, checklists and action-plan blocks. Fill known variables and leave unknown variables visibly labelled.
TRACK-SPECIFIC COMPLIANCE / QUALITY BOUNDARY
Do not provide legal advice, covert employee monitoring or assurance that an organisation complies with UK GDPR, sector rules or future AI law. Minimise personal data, use client-approved retention, and refer high-risk automated decisions to qualified privacy/legal specialists.
KPI SET
Track: qualified conversations, paid-pilot rate, departments mapped, use cases with named owner, documents approved, training completion, quarterly renewal, delivery hours and remediation items closed
STAG VAULT CROSS-SELLS
Reference these existing resources where useful rather than recreating them: Track 58 Compliance Calendar & Evidence Packs, Track 118 AI Consulting, Track 133 SOP-to-Micro-Training and Track 59 Accessibility Content Upgrades.
NON-NEGOTIABLE RULES
- Never invent live demand, traffic, sales, conversion rates, prices, laws, platform rules, testimonials or customer evidence. Mark unknowns [VERIFY] and give the exact source or experiment needed.
- Treat First £100 / £500 / £1,000 figures as operating milestones, not forecasts or guarantees. Separate revenue, costs, tax, refunds and owner time.
- Use public, permissioned or client-supplied information only. Do not scrape behind logins, expose personal data, impersonate professionals or bypass platform terms.
- Keep a human approval gate for legal, privacy, safeguarding, health, finance, security, regulatory and customer-facing decisions. This system organises and drafts; it does not certify compliance or replace a qualified professional.
- Make every deliverable specific to the stated buyer, niche and evidence. Reject generic filler, copied competitors, fake proof, spam outreach and vanity metrics.
- Prioritise a cheap validation test before a full build. Stop or revise when the pre-agreed evidence threshold is not reached.
Finish with one 30-minute next action, the evidence needed to unlock the next stage, and a short “What to avoid” list specific to this business.