How It Works

Everything starts by building a structured understanding of the business or idea.

This baseline combines:

• Industry-specific data
• Local market conditions
• Competitive dynamics
• Economic and operational constraints

It becomes the reference point for every decision that follows.

Without this baseline, advice is generic. With it, decisions become grounded.

Should-I's intelligence suite is made up of five focused reports.

Each addresses a different source of uncertainty:

Together, they map the full decision surface of a business — from demand and competition through to execution and risk.

1. Market & Viability
   Is there real demand, under realistic conditions, for this business or idea?
2. Competitive Intelligence
   Who you're actually competing against — and where growth is structurally limited.
3. Digital Presence
   How discoverable and defensible the business is online, relative to competitors.
4. Operational Effectiveness
   Whether the business model and execution can support sustainable outcomes.
5. Business Viability & Risk
   How sensitive the decision is to cost, pricing, utilisation, and external pressure.

Individually, each report answers a specific question. Together, they form a coherent intelligence model of the business.

Once the reports are complete, Should-I doesn't stop.

All findings, assumptions, and constraints are consolidated into a single intelligence layer.

This allows future questions to be answered in context, not in isolation.

Instead of re-explaining the business each time, you're building on an established understanding.

With the intelligence baseline in place, you can access an AI decision layer for up to 12 months.

This only works because the reports establish shared assumptions, constraints, and context.

This AI:

• Knows your business, market, and constraints
• References your reports and underlying data
• Can be used to test ideas, scenarios, and trade-offs
• Helps you think through decisions as they arise

It's not a generic chatbot. It's an analyst-style thinking partner grounded in your actual situation.

Example: "Should I raise prices by 15%?" becomes answerable because the AI already knows your customer base, competitive positioning, and margin constraints.

This is where the value compounds.

Most customers begin with Market & Viability.

From there, the question is rarely "what else can I buy?" — it's "where does uncertainty still exist?"

• Many choose the full report suite to eliminate blind spots
• Ongoing AI support becomes valuable as new decisions arise
• Intelligence accumulates rather than resetting each time

This approach avoids one-off analysis and creates continuity across decisions.

Should-I is not:

• A dashboard that requires constant monitoring
• A SaaS tool full of features you don't need
• An agency selling opinions or templates
• A generic AI giving advice without context

It exists to support judgement, not replace it.

This works best for:

• Owners and founders making high-stakes decisions
• People who want clarity, not motivation
• Businesses that understand decisions compound over time