What Can Solutions Actually Tell Me About My Strategy?

Solutions runs your business challenge through 6 specialized AI models (CFO, COO, Market Realist, Game Theorist, Chief Strategist, Wildcard) who debate your plan, identify flaws, and synthesize recommendations. You get a 15 minuteute strategic analysis replacing expensive consultants.

Reading time: 16 minutes

What you’ll learn:

• How each AI model specializes: CFO validates financial math, COO checks execution capacity, Market Realist applies industry benchmarks, Game Theorist predicts competitor responses, Chief Strategist evaluates strategic fit, Wildcard surfaces non-obvious risks
• Real example: Freemium analysis showing 2-4% free→paid conversion reality vs optimistic projections, plus $180K customer acquisition cost
• Why the Wildcard AI often provides the most valuable perspective (catches risks no one else sees, like reverse trial beating freemium)
• The synthesis format that prioritizes recommendations as HIGH/MEDIUM/LOW urgency with specific rationale
• How Solutions compares 85% agreement rate with human MBA consultants but delivers results in 15 minutes vs 2-4 weeks

Core output: Prioritized action plan with HIGH/MEDIUM/LOW urgency, risk identification, and alternative strategies you didn’t consider.

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What Solutions Analyzes

1. Financial Feasibility (CFO AI Model)

What it evaluates: Does the math actually work?

CFO AI analyzes:

Revenue Projections:

• Are growth assumptions realistic?
• What conversion rates are assumed?
• Revenue model validated against industry benchmarks
• Customer acquisition cost (CAC) feasible?

Cost Structure:

• Hidden costs identified (not in original plan)
• Margin compression risks at scale
• Cash flow implications (revenue timing vs costs)
• Break-even analysis

ROI Modeling:

• Payback period realistic?
• Comparing ROI to alternatives (opportunity cost)
• Sensitivity analysis (what if assumptions are 50% optimistic?)

Example CFO AI output:

“Financial Analysis:

Revenue projection: $500K in Year 1 assumes 2,000 customers at $250 ACV.

Reality check:

• You have 120 customers today
• To hit 2,000, you need 1,880 net new (16x growth)
• Industry benchmark: SaaS companies grow 2-3x in Year 1, not 16x

Revised projection: 360 customers ($90K revenue, not $500K)

Cash flow risk: Hiring 2 AEs ($240K annual cost) before revenue materializes. Burn rate: $20K/month. Runway: 12 months. If revenue misses projection, company dies Month 9.

Recommendation: Delay AE hires to Month 6 (after validating initial growth). Reduces burn, extends runway.”

Why it matters: Optimistic revenue projections kill startups. CFO AI applies conservative benchmarks before you bet the company.

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2. Operational Feasibility (COO AI Model)

What it evaluates: Can you actually execute this?

COO AI analyzes:

Resource Capacity:

• Do you have enough people/time?
• Engineering weeks required vs available
• Design capacity vs project needs
• Operational bottlenecks

Execution Complexity:

• How many dependencies exist?
• What can go wrong during execution?
• Realistic timeline vs proposed timeline
• Sequencing issues (what must happen first?)

Opportunity Cost:

• What are you NOT doing if you do this?
• Which core projects get delayed?
• Team morale impact (overcommitment)

Example COO AI output:

“Operational Analysis:

Plan: Launch enterprise tier in Q2 (8 weeks).

Resource math:

• Enterprise tier requires: SSO (3 weeks), SCIM (2 weeks), Audit logs (2 weeks), Security review (1 week) = 8 eng-weeks
• Engineering capacity: 2 engineers × 8 weeks = 16 eng-weeks available
• BUT: Ongoing maintenance, bug fixes, customer requests = 6 eng-weeks baseline
• Net capacity for new work: 10 eng-weeks

Reality: Enterprise tier fits (8 of 10 weeks). But zero buffer for unexpected issues.

Execution risk: HIGH

• If any task takes 50% longer (common in software), you miss Q2 deadline
• Customer onboarding, Analytics dashboard (other Q2 goals) get delayed or abandoned

Recommendation: Reduce enterprise tier scope (SSO + Audit logs only, defer SCIM to Q3). Frees up 2 eng-weeks buffer for unknowns.”

Why it matters: Plans fail due to execution overload, not strategy. COO AI flags if you’re overcommitting.

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3. Market Reality Check (Market Realist AI Model)

What it evaluates: Are your market assumptions valid?

Market Realist AI analyzes:

Demand Validation:

• Does this market actually exist?
• Customer willingness-to-pay realistic?
• Market size claims validated
• TAM/SAM/SOM math checked

Industry Benchmarks:

• Conversion rates (you assume 10%, industry average is 2%)
• Sales cycles (you assume 30 days, industry is 90 days)
• Churn rates (you assume 5%, SaaS average is 8%)
• Customer acquisition cost benchmarks

Competitive Reality:

• Are competitors entrenched?
• Switching costs high or low?
• Network effects working against you?

Example Market Realist AI output:

“Market Analysis:

Claim: ‘We’ll capture 5% of $2B market = $100M TAM.’

Reality check:

• $2B is total market (TAM), but:
• You target SMBs only (excludes 80% of market that’s enterprise)
• You serve US only (excludes 60% of market that’s international)
• Actual addressable market (SAM): $2B × 20% × 40% = $160M

5% of $160M = $8M (not $100M)

Demand validation:

• You surveyed 50 potential customers, 40 said ‘interested’
• Industry benchmark: ‘Interested’ converts at 5%, not 80%
• Expected customers: 40 × 5% = 2 (not 32)

Recommendation: Test willingness-to-pay with 10 pilot customers before scaling. If 2 of 10 convert, model is correct. If 0 of 10, rethink market fit.”

Why it matters: Market size fantasies don’t generate revenue. Market Realist AI applies industry data to ground assumptions.

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4. Competitive Strategy (Game Theorist AI Model)

What it evaluates: How will competitors respond?

Game Theorist AI analyzes:

Competitor Incentives:

• What are competitor motivations?
• Will they price match? Innovate faster? Bundle?
• Who benefits from status quo?

Strategic Positioning:

• Are you differentiating or commoditizing?
• Sustainable competitive advantage?
• Network effects or moats?

Response Prediction:

• If you succeed, what do competitors do?
• Can they copy your strategy in 3-6 months?
• Pricing war implications

Example Game Theorist AI output:

“Competitive Analysis:

Strategy: Undercut competitors by 40% to gain market share.

Competitor response prediction:

Scenario 1 (70% probability): Competitors price match within 60 days

• They have deeper pockets (Series B funded, you’re bootstrapped)
• Price war ensues. You can’t outlast them on cash
• Result: Industry margins compress, everyone loses

Scenario 2 (20% probability): Competitors ignore you

• Only happens if you’re targeting different customer segment
• Your SMB customers don’t overlap with their enterprise focus
• Result: You succeed in SMB, they keep enterprise

Scenario 3 (10% probability): Competitors bundle features

• Offer your feature free as add-on to existing product
• Result: Your standalone product can’t compete with free

Recommendation: Don’t compete on price (invites price war). Differentiate on feature set or service model (async-first, not generic PM). Harder to copy than price cut.”

Why it matters: Competitors aren’t static. Game Theorist AI models how they’ll respond to your moves.

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5. Strategic Fit (Chief Strategist AI Model)

What it evaluates: Does this align with your long-term goals?

Chief Strategist AI analyzes:

Goal Alignment:

• Does this move you toward company vision?
• Or is it a distraction from core strategy?
• Short-term win vs long-term harm?

Opportunity Cost:

• What better alternatives exist?
• Should you do something else entirely?
• Hybrid approaches (combining strategies)

Strategic Implications:

• Does this lock you into path?
• Flexibility preserved or reduced?
• Future optionality

Example Chief Strategist AI output:

“Strategic Analysis:

Question: Should we pivot to enterprise customers (vs current SMB focus)?

Strategic fit assessment:

Pro (enterprise):

• Higher ACV ($50K vs $5K SMB)
• Lower churn (enterprise 3% vs SMB 8%)
• More predictable revenue

Con (enterprise):

• Longer sales cycles (6 months vs 30 days SMB)
• Requires enterprise features (SSO, SCIM, security) = 6 months eng time
• Abandons SMB market you understand

Opportunity cost:

• 6 months building enterprise features = not improving SMB product
• SMB customers churn while you focus on enterprise
• Competitor captures SMB market while you pivot

Alternative strategy: Dual-tier approach

• Keep SMB tier as-is (cash cow, don’t abandon)
• Add enterprise tier (new revenue stream)
• Sequence: SMB funding pays for enterprise development

Recommendation: Don’t pivot (all-or-nothing risk). Expand into enterprise while maintaining SMB base. Less risk, more optionality.”

Why it matters: Pivots are risky. Chief Strategist AI questions if you need to pivot at all or if there’s a better path.

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6. Non-Obvious Risks (Wildcard AI Model)

What it evaluates: What unconventional risks are you missing?

Wildcard AI analyzes:

Hidden Assumptions:

• What are you taking for granted?
• Edge cases you didn’t consider
• Black swan events

Second-Order Effects:

• Unintended consequences of your strategy
• How does this change customer behavior?
• Regulatory or social implications

Unconventional Alternatives:

• Creative solutions you haven’t thought of
• Contrarian strategies (what if you did opposite?)

Example Wildcard AI output:

“Wildcard Analysis:

Plan: Offer freemium tier to drive adoption.

Non-obvious risk #1: Freemium attracts wrong customers

• Free users never convert (industry average: 2-4% free → paid)
• Support burden: Free users submit 3x more tickets than paid
• Result: Engineering time consumed supporting non-paying customers

Non-obvious risk #2: Cannibalization

• Current customers downgrade from $50/month to free tier
• Revenue loss: $50/month × 20% of base = $10K MRR lost
• New free users don’t compensate (only 3% convert)

Unconventional alternative: Reverse trial

• Start users on paid tier with 30-day money-back guarantee
• Psychology: Users more engaged when they’ve paid
• Conversion: 60% (vs 3% freemium)
• Less support burden (paid users self-serve more)

Recommendation: Test reverse trial (10 customers) before launching freemium. Measure conversion, support load, revenue. If reverse trial beats freemium, avoid freemium trap.”

Why it matters: Wildcard AI surfaces risks no one else sees (not CFO, not COO, not Market Realist). Often the most valuable perspective.

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Solutions Output Format

What you receive (delivered in 15 minutes):

1. Executive Summary (1 page)

• Top 3 risks identified
• Top 3 recommendations (HIGH priority)
• Go/No-Go assessment

2. Six-Perspective Debate (3-4 pages)

• CFO AI analysis (financial feasibility)
• COO AI analysis (operational execution)
• Market Realist AI analysis (demand validation)
• Game Theorist AI analysis (competitive response)
• Chief Strategist AI analysis (strategic fit)
• Wildcard AI analysis (non-obvious risks)

3. Synthesized Recommendations (2 pages)

HIGH PRIORITY (do these immediately):

• Action 1: [specific recommendation with rationale]
• Action 2: [specific recommendation with rationale]
• Action 3: [specific recommendation with rationale]

MEDIUM PRIORITY (do within 30-60 days):

• Action 4-6: [recommendations]

LOW PRIORITY (monitor, not urgent):

• Action 7-9: [recommendations]

4. Alternative Strategies (1 page)

• Option A: [your original plan with adjustments]
• Option B: [hybrid approach]
• Option C: [contrarian alternative]

Total: 8-10 page PDF + structured JSON (Intelligence Token for automation)

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Solutions Pricing

Solutions Essentials: $50

• Single strategic question
• 6-AI adversarial debate
• Prioritized recommendations
• PDF + JSON Intelligence Token

Solutions Pro: $75

• Complex multi-part decisions
• Comparison of 2-3 options
• Scenario modeling

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Practical Use Cases

Use Solutions when you need to:

1. Validate strategy: Should I build Feature A or Feature B?
2. Resolve disagreements: Marketing vs Product vs Sales conflicts
3. Stress-test plans: Will this Q2 roadmap actually work?
4. Evaluate partnerships: Is this rev-share deal fair?
5. Pricing decisions: Should I raise prices 20%?
6. Hiring priorities: Should I hire 2 AEs or 2 engineers?
7. Market entry: Should I expand to new city/vertical?

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The Bottom Line

Solutions tells you what’s wrong with your plan before you execute it. You learn:

• Financial viability (CFO perspective)
• Execution feasibility (COO perspective)
• Market reality (demand validation)
• Competitive implications (Game Theorist)
• Strategic fit (Chief Strategist)
• Non-obvious risks (Wildcard)

15 minutes, $50-75, 6 AI perspectives. You get stress-tested strategy replacing $5K-15K consultants.

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Frequently Asked Questions

How is Solutions different from asking ChatGPT?

ChatGPT (free):

• Single perspective (designed to be helpful, agreeable)
• Validates your thinking (confirmation bias)
• Generic advice (not debate)

Solutions ($50):

• 6 specialized perspectives (CFO, COO, Market Realist, Game Theorist, Chief Strategist, Wildcard)
• Adversarial debate (each model challenges others)
• Synthesized consensus (finds common ground across perspectives)

ChatGPT helps you feel good. Solutions finds flaws.

Can Solutions make the decision for me?

No. Solutions provides analysis and recommendations. You make final call.

Solutions tells you:

• What could go wrong
• What benchmarks suggest
• What alternatives exist
• What priorities make sense

You decide based on context Solutions doesn’t have (team capabilities, cash position, risk tolerance).

What if I disagree with Solutions recommendations?

That’s fine. Solutions provides perspective, not mandate.

Use case: Solutions says “Don’t launch freemium.” You have unique insight (enterprise customers specifically requested free tier). You launch freemium anyway.

Value: You made informed decision with eyes open to risks, not blind optimism.

How detailed should my submission be?

Include:

• What you’re trying to decide (specific question)
• Context (company stage, revenue, team size, constraints)
• Your current thinking (what you’re leaning toward)
• Concerns or questions (what worries you)

Example:

“Should I hire 2 AEs or 2 engineers?

Context: $800K ARR, 15-person team, 3 engineers, 2 sales reps Current thinking: Leaning toward 2 AEs to scale revenue faster Concerns: Will product quality suffer if we don’t hire engineers? Budget: Can hire 2 people total, not both”

More context = better analysis. Don’t hold back information.

Can Solutions compare multiple options?

Yes. Solutions Pro ($75) handles 2-3 option comparison:

Example:

“Which should I prioritize?

• Option A: Build analytics dashboard (8 eng-weeks)
• Option B: Build API integrations (6 eng-weeks)
• Option C: Improve onboarding flow (4 eng-weeks)”

Solutions evaluates:

• Revenue impact of each option
• Execution risk and complexity
• Customer demand signals
• Competitive urgency
• Strategic fit

Output: Ranked recommendations with rationale.

How long does Solutions take?

15 minutes from submission to delivery:

• You submit: Strategic question + context (5-10 minutes)
• Solutions processes: 6-AI debate + synthesis (15 minutes automated)
• You receive: PDF report + JSON Intelligence Token

Total time investment: 30-40 minutes (10 min submission + 15 min generation + 15 min reading report)

Does Solutions work for non-business decisions?

Limited. Solutions optimized for:

• Business strategy (go-to-market, product, pricing)
• Resource allocation (budget, headcount, time)
• Partnership evaluation
• Investment decisions

Not ideal for:

• Personal life decisions (career, relationships)
• Ethical dilemmas (values-based choices)
• Creative brainstorming (generating ideas vs evaluating ideas)

Best for: Objective, data-driven business decisions.

Can I use Solutions for quarterly planning?

Yes. Common use case:

Submission:

“Q2 OKRs (proposed):

• Marketing: Launch new website, 10K monthly visitors
• Product: Ship enterprise tier, analytics dashboard
• Sales: Close $300K new ARR
• Engineering: Reduce technical debt 20%

Team: 18 people (3 engineers, 1 designer, 2 marketing, 2 sales)

Question: Are these OKRs achievable? Where are conflicts?”

Solutions output:

• Resource conflicts identified (Marketing website needs engineer that Product already allocated)
• Unrealistic targets flagged (10K visitors in 3 months is 10x industry benchmark)
• Consolidated OKRs (12 → 4 realistic goals)
• Sequencing recommendations (what to do Q2 vs defer to Q3)

See quarterly planning use case

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Ready to stress-test your business strategy? Run a Solutions report ($50-75) and get 6 AI models debating your plan, identifying flaws, and synthesizing recommendations in 15 minutes.