NIS2 readiness check for mid-sized companies

✨ NewCybersecurity for SMEs👁 Free previewIntermediate

Offer: Tells a company whether NIS2 applies to it, checks the ten required security measures and delivers a prioritised action plan with budget estimates

Target customer: Small and medium businesses (5–50 staff)

Where to find customers: LinkedIn, partnerships with agencies, personalised cold email

Tools needed: NIS2 Article 21 questionnaire + LLM gap report + action plan PDF

Recommended price for your customers: €690 one-off

What it is

NIS2 readiness check for mid-sized companies is an AI-agent business for small and medium businesses (5–50 staff). Concretely: tells a company whether NIS2 applies to it, checks the ten required security measures and delivers a prioritised action plan with budget estimates.

Who pays & why

Who pays: small and medium businesses (5–50 staff). Why: the agent does, quickly and around the clock, work they would otherwise do by hand or pay a person for. Recommended price: €690 one-off. You know it is working when you see: paying clients, qualified leads per month. Main risk to manage: local regulation, must not be presented as financial advice.

How it works

Customers find you through: LinkedIn, partnerships with agencies, personalised cold email. They sign up on your website.
AI does the core work with: LLM API.
Automatic quality checks run before delivery; anything unusual is sent to you for review.
The result is delivered through: Email / newsletter.
Every week you check: paying clients, qualified leads per month.

Concrete example

Example: a customer from the target group (small and medium businesses (5–50 staff)) signs up. What they get from the first week: tells a company whether NIS2 applies to it, checks the ten required security measures and delivers a prioritised action plan with budget estimates. The customer pays €690 one-off. On your side you spend about 3 h per week on: checks legal and regulatory points and signs off risky decisions; reviews a sample of AI outputs and corrects the prompts when quality drifts.

Glossary (3)

LLM: Large language model: an AI like ChatGPT, Claude or Grok that reads and writes text.
API: A connection that lets two software tools talk to each other automatically.
Lead: A potential customer who showed interest (e.g. left an email).

Existing competition Medium

How to stand out: Self-assessments exist; budgeted action plans are the value.

Researched on 2026-10-16

📊 Key metrics

Revenue potential: High (est. €2000–6000/month)Running costs (tools & APIs): €20–375/monthAutomation difficulty: 3/5 ModerateHuman time: 3 h/weekIntegration Requirements: 3Setup time: ~41 h (≈5 weeks part-time)Estimated payback (return on investment): ~3 months

How we estimate this

Start-up cost = idea price (€39) + one month of running costs while you build (€198). Monthly profit = low end of the revenue estimate (€2000) minus average running costs. We assume 2 months of ramp-up at half revenue and add your setup time. Your own working hours are not counted. It is an estimate, not a promise.

⚙️ Automation difficulty: 3/5 – Moderate

Why this automation score

Score 3: several moving parts (data collection, AI output, delivery) need testing and monitoring.
Easy to automate: LLM API, Database and Email / newsletter.
Still needs a human: checks legal and regulatory points and signs off risky decisions; reviews a sample of AI outputs and corrects the prompts when quality drifts — about 3 h per week.

Automation scale (1–5)

1 – Very easy: no-code tools, a few hours to set up.
2 – Easy: standard tools, a few days, little monitoring.
3 – Moderate: several integrations, 1–3 weeks, regular checks.
4 – Hard: complex data or sensitive output, a coding agent or developer recommended.
5 – Very hard: advanced engineering, strict quality and compliance control.

💰 Revenue potential: 4/5 – High

Market interest 4/5
Companies actively seek productivity gains from AI.

Money flow 4/5
Large B2B budgets and high contract values.

Active communities 3/5
Professional networks, smaller hobby communities.

⏱ Maintenance time: 3 h/week

What the human does:

Checks legal and regulatory points and signs off risky decisions.
Reviews a sample of AI outputs and corrects the prompts when quality drifts.

🔌 Integration Requirements (3)

Integrations	Why it is needed	Cost/month
LLM API OpenAI / Anthropic / xAI API	The agent's brain: writes, analyses, decides and talks to customers.	20–300 €
Database PostgreSQL / Supabase	Stores customers, orders, generated content and the agent's memory.	0–25 €
Email / newsletter Brevo / Resend / Beehiiv	Sends onboarding, transactional emails and newsletters automatically.	0–50 €
🧾 Maintenance cost – Total		20–375 €

Included with purchase

10 expert prompts
Ready-to-run prompts that take your AI agent from strategy to launch, filled in with this idea.
Sales page template
A ready-to-copy page (headline, problem, solution, benefits, price, FAQ, call to action) to sell the service to your own customers.
Certificate of exclusivity
A PDF with your name, the purchase date and a unique number, verifiable online, proving the idea was sold only to you.

10 expert prompts

Paste these prompts into your AI agent (ChatGPT, Claude, Grok, Cursor…) one after another. Together they give you a complete strategy, a technical build plan, pricing, an intake system, an autonomous operating loop, a marketing engine, guardrails, metrics, step-by-step MVP build instructions and an orchestrator that runs the business day to day.

Master Strategy & Positioning
Positioning, value proposition, target segment and business model.
Technical Pipeline Design
The full technical pipeline: tools, data flows and automations to deliver the offer.
Product & Pricing Definition
Minimum product, pricing tiers and what to leave out of version 1.
Customer Intake System
Automated acquisition and client intake: forms, qualification and onboarding.
Autonomous Operating Loop
The agent's daily operating loop: triggers, production, quality checks, escalation to a human.
Go-to-Market & Content Engine
Go-to-market engine: 30-day launch plan, content, channels and outreach scripts.
Quality & Compliance Guardrails
Guardrails: GDPR, AI Act, consumer law, quality and risk controls.
Metrics, Learning & Iteration
Dashboard: North Star metric, KPIs, alerts and weekly review.
MVP Build Sequence
A 14-day day-by-day MVP build sequence with tools and checkpoints.
Master Orchestrator (Run the Business)
The master orchestrator prompt that coordinates every sub-agent and runs the business.

Reserve this idea · ~~€79~~ €39

Launch price ~~€79~~ €39

Exclusive: hidden from everyone else after purchase · 10 prompts unlocked · one-time payment

Once purchased, the idea disappears for all other users.