Big-company strategy. Small-business math.

StratEngine AI is the AI strategy platform for the executives who run small businesses — the owners, CEOs, and leadership teams who personally own the strategic decisions and never had a strategy department or a consultant budget. It turns a real business question into a researched, pressure-tested, defensible strategy brief in about an hour: the analysis a $10,000–$50,000 consulting engagement buys, at software prices. StratEngine runs the strategy work as a system. Research agents pull sources in parallel. A framework layer applies discipline across 27 strategy frameworks including SWOT Analysis, Porter's Five Forces, Blue Ocean Strategy, McKinsey 7-S Framework, Play to Win, Business Model Canvas, 3C's Framework, Marketing 4Ps, PESTLE Analysis, Galbraith Star Model, Porter's Value Chain, Balanced Scorecard, VRIO, BCG Growth-Share Matrix, Kotter 8-Step Change Process, Value Driver Tree, Profit Pools Analysis, Return on Strategic Assets, and the Capital Allocation Framework. A 4-agent C-Suite debate pressure-tests the conclusion from CEO, CFO, CMO, and COO chairs — the room full of executives big companies have, and it argues back. The output is a sourced strategy brief — the brief is the deliverable, the deck is a downstream export. General AI tells you what you want to hear; StratEngine does the work.

Three things AI promised and didn't deliver.

It tells you what you want to hear.

Ask a general model if your plan is good and it agrees, encourages, and flatters. It is trained to be agreeable, so it validates the move you had already decided on and reaches for the evidence that supports it. A real strategy has survived pushback: someone in the room asked what happens if the assumption is wrong, and the conclusion either held or changed. Cheerleading isn't analysis.

They're trained on the wrong logic.

General "reasoning models" were tuned on problems with verifiable answers: coding, math, puzzles. Strategy is the opposite — judgment under ambiguity. A model trained to optimize for a single correct answer will invent confidence instead of admitting uncertainty. It will write a paragraph that sounds like analysis and skip the verification step entirely. That is not what strategy work needs.

The work you offloaded just moved.

AI was supposed to free up time for the work only the owner can do. Instead, the mechanical work moved to prompting, vetting outputs, and hunting hallucinations. The owner who used to spend 8 hours thinking through a decision now spends 6 hours in a chat window, and the answer at the end is less defensible than the one they would have reasoned out themselves. The promise inverted itself.

The thesis: One system, doing the actual work. You get the brief and your hours back.

What problem does StratEngine AI solve?

Rigorous strategic analysis has always been priced for someone else. Independent strategy consultants bill $150–$500 per hour; a scoped strategy engagement runs $10,000 to $50,000 and takes weeks. That prices most small businesses out of the market entirely, so the owner makes the call on instinct — or asks a general AI model, which agrees with whatever they were already leaning toward. Strategy work has a labor model that has not changed in 30 years: the bottleneck is human bandwidth, because the same person who has the judgment to scope the question is also doing the mechanical work of pulling sources and formatting outputs.

StratEngine runs the mechanical layers (research, framework application, brief composition, presentation export) as a system, leaving the judgment to the person who runs the business. It's an access story rather than a substitution story: most small businesses were never in the consulting market at all, and this is how they get the same class of deliverable.

The output is a strategy brief with cited evidence, framework scoring, named assumptions, and a pressure-tested conclusion. The brief is editable end-to-end; missing context can be fed back to re-run; the conclusion was built from research and then pressure-tested by a 4-agent C-Suite debate, not a single model's confident paragraph.

Who is StratEngine AI for?

The executives who run small businesses. These are the owners, CEOs, and leadership teams who personally own the strategic decisions and never had a strategy department or a consultant budget — the person who runs the place. A 20-person home-services company deciding on a second location, a family-owned manufacturer weighing a contract that would take 60% of capacity, an e-commerce brand repricing its catalog, a 200-person company whose leadership team needs real analysis but will not pay $10,000-plus for it. The common thread is a live decision and no strategy department to hand it to.

Founders are the same reader one step earlier: you built the business, now you're growing it. The analysis works the same way whether the question is "should we launch" or "should we expand."

Investors are a separate product. The investment-memo workflow (upload a deck, get a vetted memo scored against your thesis) lives at /investor.

How is StratEngine AI different from ChatGPT?

The sharpest difference is that ChatGPT is a cheerleader, not an advisor. Ask it whether your plan is good and it agrees, encourages, and flatters — it is trained to be agreeable, so you get validation instead of analysis. ChatGPT and Claude are also general models trained on problems with verifiable answers. They produce paragraphs that sound like strategy because that is what the training data rewarded. They will invent metrics, skip verification, and present the result with confidence. A sophisticated user can prompt through them, but the user becomes the integrator — checking sources, applying the framework, vetting the conclusion. The mechanical work moved; it did not disappear.

StratEngine runs the evaluation as a system. Research agents pull sources in parallel and cite each claim. The framework layer applies the methodology (SWOT, Porter's Five Forces, Blue Ocean Strategy, McKinsey 7-S, Play to Win, etc.) with discipline. The 4-agent C-Suite debate pressure-tests the conclusion from CEO, CFO, CMO, and COO chairs — big companies have a room full of executives who argue with the plan before it ships, and this is that room. Assumption Exposer (Professional tier) names the load-bearing assumptions. The output is a sourced brief, not a paragraph, and it argues back before you see it.

What strategy frameworks does StratEngine AI support?

StratEngine ships 27 strategy frameworks, organized into three verb-first marketing categories: Grow the market, Build the org, and Position to win. Some frameworks (SWOT, 3C's, Three Horizons, Blue Ocean, Play to Win, Digital Marketing GTM, Porter's Value Chain, Balanced Scorecard, BCG Growth-Share Matrix, Value Driver Tree, Profit Pools, Return on Strategic Assets, Capital Allocation) span multiple categories.

The 27 frameworks

SWOT Analysis, Porter's Five Forces, 4Ps (Marketing Mix), Business Model Canvas, 3C's Framework, PESTLE Analysis, Blue Ocean Strategy, McKinsey 7-S Framework, Play to Win, Porter's Value Chain, Galbraith Star Model, Value Disciplines Model, Product Lifecycle, Three Horizons of Growth, Digital Marketing GTM, Rogers' Five Factors, Product-Market Growth Matrix, Seven Degrees of Freedom, SIPOC, Balanced Scorecard, VRIO, BCG Growth-Share Matrix, Kotter 8-Step Change Process, Value Driver Tree, Profit Pools Analysis, Return on Strategic Assets, and the Capital Allocation Framework.

What each framework does

SWOT Analysis evaluates strengths, weaknesses, opportunities, and threats. Porter's Five Forces assesses competitive intensity and industry attractiveness. Blue Ocean Strategy frames market creation through value innovation. McKinsey 7-S analyzes organizational effectiveness across structure, strategy, systems, skills, staff, style, and shared values. Play to Win cascades strategic choice through winning aspiration, where-to-play, and how-to-win. PESTLE scans the macro environment. Galbraith Star evaluates organizational design across strategy, structure, processes, rewards, and people. 3C's reads customer, competitor, and company dynamics. Balanced Scorecard tracks strategy execution across financial, customer, internal process, and learning-and-growth perspectives. VRIO tests whether a resource is a durable competitive advantage by passing value, rarity, imitability, and organizational-fit filters in sequence. BCG Growth-Share Matrix classifies business units as Stars, Cash Cows, Question Marks, or Dogs to guide portfolio and investment decisions. Kotter's 8-Step Change Process structures large-scale change leadership from urgency through anchoring. Value Driver Tree decomposes enterprise value into the operational, financial, and market drivers that move it. Profit Pools Analysis maps where profit actually concentrates along the value chain (not where revenue concentrates). Return on Strategic Assets scores yield per strategic asset side-by-side so capital and attention go where they compound. The Capital Allocation Framework structures the reinvest / return / redeploy decision across the portfolio. The framework selection happens in-product; users pose the problem and StratEngine applies the right framework (or multiple frameworks via the framework sequencer on Professional).

What are the core features of StratEngine AI?

Research agents in parallel

StratEngine runs research agents that pull sources in parallel. Pay-as-you-go gets one research pass; Essential gets a 2-agent research layer; Professional gets a 4-agent research layer that runs multiple lines of inquiry simultaneously and reconciles the findings.

Framework layer

The framework layer applies the methodology with discipline. The selected framework (or the multi-framework sequence on Professional) scores the situation against the framework's categories. SWOT lays out as four quadrants. Porter's Five Forces scores across five categories. Blue Ocean produces the Strategy Canvas. The scoring is labeled and produces a structured result, not a paragraph that gestures at the framework.

4-agent C-Suite debate

The Professional tier runs a 4-agent C-Suite debate: CEO, CFO, CMO, and COO chairs pressure-test the strategic conclusion from their functional perspectives. The CFO surfaces the financial implications you under-weighted. The CMO names the customer-acquisition risk. The COO finds the execution constraint. The CEO arbitrates. The output is a brief that has already been attacked from four angles before it lands in your inbox.

Assumption Exposer

The Assumption Exposer (Professional tier) names the load-bearing assumptions in the strategy — the assumptions that, if wrong, collapse the conclusion. Surfacing them explicitly gives the strategist a focused set of questions to bring to the client meeting, the board, or the next iteration.

Presentation export

Every tier (Pay-as-you-go, Essential, Professional) exports to Google Slides and PowerPoint. The brief is the primary deliverable; the deck is one of the export targets. There is no tier where presentation export is gated.

Security and tenant isolation

StratEngine the application is CASA Tier 2 certified. The compute layer (Google Cloud) is ISO 27001:2022 certified. The database layer (Supabase) is SOC 2 Type II certified. AES-256 at rest, TLS 1.2+ in transit. Per-tenant isolation is enforced at the database layer via Postgres row-level security, so a compromised application instance cannot read across tenants. The AI providers behind the analysis run with zero data retention by default. See stratengineai.com/security for the full posture.

Strategy isn't expensive. Strategists are.

A scoped strategy engagement runs $10,000 to $50,000. Here is the same work, itemized. The cost of a strategy project is the cost of strategist labor: a blended rate of $350/hour for senior consulting time — independent strategy consultants bill $150–$500/hour — applied across the actual workflow (research, framework selection, analysis execution, strategy synthesis, slide build, review and refine) totals roughly 42 hours and $14,525 per project. The labor model is the cost driver, not the methodology. That is why the analysis was never available to a business this size: not because the methodology is expensive, but because the people who run it are.

StratEngine compresses the same workflow. Research is automated. Framework selection is automated. Analysis execution is automated. Strategy synthesis is automated. Slide build is automated. You do ~0.5 hours of scoping in the chat and ~0.5 hours of final review — about 1 hour total per project. At $97/month for the Professional tier, that is a 42× speed-up and a 99.3% reduction in per-strategy cost. Same artifact. Same defensibility. Different math.

Run by the people who run the place.

Owners and operators deciding the things they used to guess at. StratEngine users report measurable time and cost savings on strategic decisions.

When should you use StratEngine AI?

The decisions that keep you up at night

Whether to raise prices. Whether to open a second location or add a service line. Whether to take the contract that would fill the plant but leave one buyer holding most of your capacity. Whether the competitor moving into your market is a real threat or noise. These are the decisions a small business executive makes without a strategy department, and they are what StratEngine is built for: pose the question in plain English, add what you know about the business, and get back an analysis that ran the research and argued with itself before reaching a conclusion.

Annual and growth planning

Owners and leadership teams use StratEngine for annual planning, growth-initiative scoping, and the meetings where the year gets decided. The analysis is done before the meeting starts, so the time goes to deciding rather than to slide assembly. The 4-agent C-Suite debate matters most here: the plan has already been attacked from CFO, CMO, COO, and CEO chairs before anyone else sees it.

Market entry and competitive assessment

Business owners and leadership teams use StratEngine to evaluate market opportunities using Porter's Five Forces, PESTLE, and Blue Ocean Strategy in combination. The framework sequencer (Professional tier) runs multiple frameworks together so the analysis covers macro environment, competitive intensity, and value innovation in a single brief.

Strategy for investors

The investor workflow (investment memos rather than strategy briefs) lives at /investor. Upload a deck, get a vetted memo back with every claim cross-checked and the deal scored against your thesis.

Frequently asked questions about StratEngine AI

How does StratEngine generate a strategy?

Research agents pull sources in parallel. A framework layer applies discipline across the selected framework or sequence. The C-Suite of AI agents pressure-tests the conclusion from CEO, CFO, CMO, and COO chairs. Essential and Professional add a momentum calculator scoring market forces; Professional adds Assumption Exposer.

Can I edit the results?

Yes. The brief is editable end-to-end. Missing context can be fed back to re-run the analysis. The conclusion was built from research and pressure-tested by the C-Suite debate, so edits start from a defensible baseline rather than a paragraph you have to rewrite.

Is my data private?

StratEngine the application is CASA Tier 2 certified. SOC 2 Type II is inherited from Supabase (database layer), and ISO 27001:2022 is inherited from Google Cloud (compute layer). AES-256 at rest, TLS 1.2+ in transit, per-tenant isolation at the database layer. The AI providers behind the analysis run with zero data retention by default.

Can I try StratEngine AI for free?

Yes. The Pay-as-you-go tier is $0/month with 1 free strategy analysis at signup, end to end. After that, briefs are metered at $3 each. No subscription required. Essential ($69/month monthly, $55/month annual) and Professional ($129/month monthly, $97/month annual) both include a 7-day free trial.

What frameworks are included?

27 frameworks across foundational, growth/market-analysis, and advanced professional categories. The full list includes SWOT, Porter's Five Forces, 4Ps, Business Model Canvas, 3C's, PESTLE, Blue Ocean Strategy, McKinsey 7-S, Play to Win, Porter's Value Chain, Galbraith Star, Value Disciplines, Product Lifecycle, Three Horizons, Digital Marketing GTM, Rogers' Five Factors, Product-Market Growth Matrix, Seven Degrees of Freedom, SIPOC, Balanced Scorecard, VRIO, BCG Growth-Share Matrix, Kotter 8-Step Change Process, Value Driver Tree, Profit Pools Analysis, Return on Strategic Assets, and the Capital Allocation Framework. Pay-as-you-go and Essential expose subsets matched to the tier; Professional opens the full library plus the framework sequencer for multi-framework workflows.

How is StratEngine different from ChatGPT?

StratEngine runs the work as a system (research agents, framework layer, C-Suite pressure-test, sourced brief). ChatGPT writes a paragraph that sounds like analysis and leaves the integration work to you. The output is structurally different — StratEngine produces a sourced brief with cited evidence and named assumptions; ChatGPT produces prose that has to be fact-checked.

Do I need design skills or PowerPoint templates?

No. StratEngine exports to Google Slides and PowerPoint automatically. All three tiers include presentation export.

I'm not a strategist. Can I actually use this?

That's who it's built for. You bring the question in plain English — open a second location, raise prices, take that contract — plus what you know about your business. The engine picks the framework, runs the research, does the analysis, and pressure-tests the conclusion. You review a finished brief. No MBA required, no prompt engineering.

Why not just hire a consultant?

If the decision warrants it and the budget's there, a good consultant is worth it. But a scoped strategy engagement typically runs $10,000 to $50,000 and takes weeks, and independent strategy consultants bill $150–$500/hour — which prices most small businesses out entirely. StratEngine produces the same kind of deliverable (researched, framework-driven, defensible) in about an hour, at a price that lets you run the analysis every time it matters, not once a year.

Can I use StratEngine for internal presentations?

Yes. Owners and leadership teams use it for annual planning, growth decisions, and exec-team prep. The brief is the primary artifact; the deck is the export.

How much does StratEngine AI cost?

Three tiers. Pay-as-you-go is $0/month with 1 free analysis at signup; briefs metered at $3 each thereafter. Essential is $69/month monthly or $55/month annual (billed $660/year), with 11 frameworks, 2-agent research, trend-aware market analysis, 10K-file / 30 GB import, and presentation export. Professional is $129/month monthly or $97/month annual (billed $1,164/year), with every framework, 4-agent research, 4-agent C-Suite debate, Assumption Exposer, Proposal generator, 50K-file / 150 GB import, and presentation export. Both paid tiers include a 7-day free trial.

How much does StratEngine AI cost?

Three tiers. No quotes. No sales call. Pay per brief or by the month. One brief costs less than a consultant's first hour.

Pay-as-you-go — $0/month

For one big decision at a time. 1 free analysis at signup, end to end. Briefs metered at $3 each thereafter. Every framework, every depth. Import 5K files / 15 GB of proprietary context. Presentation export. No subscription required. Start at app.stratengineai.com.

Essential — $69/month monthly, $55/month annual (billed $660/year)

For growing the business. 11 frameworks for growth. 2-agent research. Trend-aware market analysis. Import 10K files / 30 GB of proprietary context. Presentation export. 7-day free trial.

Professional — $129/month monthly, $97/month annual (billed $1,164/year)

For the decisions you can't get wrong. Every framework, every stage. 4-agent C-Suite debate. 4-agent research. Assumption Exposer. Proposal generator. Import 50K files / 150 GB of proprietary context. Presentation export. 7-day free trial. Most popular tier.

How do I get started with StratEngine AI?

Start at app.stratengineai.com. Pay-as-you-go is free with 1 full analysis at signup; no card required. See a real brief at stratengineai.com/strategy-sample (a full Play-to-Win strategy brief for Nike, with 18 cited sources). For the investor workflow (deck → vetted investment memo), visit stratengineai.com/investor. Stop prompting. Start deciding.