Screenshot of the Assumption-driven market strategy decision workspace interactive demo
Screenshot of the interactive demo, on sample data

Assumption-driven market strategy decision workspace

Reduce strategy revision cycles while keeping every assumption linked to its evidence.

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For
Strategy leads, founders and consultants producing market plans and investment decisions
Solves
Market research, strategy drafting and decision records sit in separate rented tools, so assumptions, evidence and approvals drift apart.
Delivers
Reviewed decision record with assumption register
Built in
about 4 weeks of creation time, MVP in 4 days
Investment
$14,000 for the MVP, $47,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce strategy revision cycles while keeping every assumption linked to its evidence.

  1. Capture market, competitor and internal source material.
  2. Draft and refine business strategies and plans.
  3. Retrieve comparable business model examples for reference.
  4. Combine selected strategies into editable plan variants.
  5. Run scheduled market and competitor research passes.
  6. Generate a first-draft business plan from approved inputs.
  7. Suggest feedback based on documented strategy patterns.
  8. Integrate data from multiple formats and sources.
  9. Automate processing through customizable workflows.
  10. Support real-time team collaboration on one plan.
  11. Produce summaries and visualizations of gathered data.
  12. Store project material in access-controlled cloud storage.
  13. Support context-based conversational drafting and research.
  14. Maintain a customizable knowledge base per organization.
  15. Pull current internet sources with citations.
  16. Edit documents and notes inside the workspace.
  17. Capture meeting action items and owners.
  18. Provide mobile access to plans and approvals.
  19. Connect calendar, mail and automation tools.
  20. Compare the reviewed result with the recorded baseline and value assumptions.
  21. Capture corrections and named-owner approval before consequential use.
  22. Export a versioned reviewed decision record with assumption register, source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Licensed market data
  • Competitor material
  • Internal notes
  • Planning constraints

AI drafts, people review. Assumption-driven planning and decision workspace.

What the customer gets
  • Reviewed decision record with assumption register
02

How it works

The workflow

  1. In
    Start with

    Licensed market data, competitor material, internal notes and planning constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect licensed market data

  4. 3

    Competitor material

  5. 4

    Internal notes and planning constraints

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewed decision record with assumption register

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Market figures, competitor claims and strategy recommendations remain analyst-verified; final investment and operating decisions remain with the named owner. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Research intake and sources, Editable strategy canvas, Decision record and approval. Use a thumbnail gallery for projects, a large central canvas for the business model and plan, and a right-hand panel for sources, assumptions and comments. Let users compare strategy versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant assumption or plan section. Make the task-specific outcome reviewed decision record with assumption register visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, source versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Client-owned market data, authorized research sources and internal notes. Cloud document storage, calendar, mail and automation tools. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    4 days

    One buyer segment, one recurring use case; first modules: capture market, competitor and internal source material; draft and refine business strategies and plans. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    5 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    9 days

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will strategy leads, founders and consultants producing market plans and investment decisions use it to solve "market research, strategy drafting and decision records sit in separate rented tools, so assumptions, evidence and approvals drift apart"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted decision records per strategy hour and corrections after approval.
  4. Measure, then decide. Track accepted decision records per strategy hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One market segment and one planning cycle; final strategy and investment decisions remain with the named owner. Implement one approved input format, a bounded representative case set and the first two task modules: capture market, competitor and internal source material; draft and refine business strategies and plans. Support the remaining modules with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around the reviewed decision record with assumption register. Retain the explicit scope boundary: One market segment and one planning cycle; final strategy and investment decisions remain with the named owner.

What the build depends on. Source upload and preview, asynchronous research jobs, editable version history, reviewer access and tested export formats. High-fidelity planning requires analyst review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One market segment and one planning cycle; final strategy and investment decisions remain with the named owner.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: capture market, competitor and internal source material; draft and refine business strategies and plans. Manual review in the loop.

    $14,000 · about 4 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $14,000 · about 5 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $19,500 · about 9 days of creation time

Indicative total, MVP to full product$47,500about 4 weeks of creation time · start with the MVP from $14,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$50–$100$80–$160
Full productabout 50 customers$110–$210$350–$700$460–$910
05

Run it or resell it

Internally

For your own team

Strategy leads, founders and consultants producing market plans and investment decisions run it inside the business: licensed market data, competitor material, internal notes and planning constraints in, reviewed decision record with assumption register out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#918c27
  • accent#5474c9
  • surface#f1f0e4
  • ink#22201e
Headings
Space Grotesk
Text
Inter
Voice
Brief, sharp, evidence-first
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined planning package. Offer a monthly production allowance after repeat demand. Quote complex multi-market or specialist research separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed decision record with assumption register. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce strategy revision cycles while keeping every assumption linked to its evidence. Demonstrate a concrete reviewed decision record with assumption register using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Strategy leads, founders and consultants producing market plans and investment decisions professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample decision record with assumption register from a small authorized input set, with a transparent calculation of accepted decision records per strategy hour and corrections after approval and no promised savings.

The first 30 days

  1. Week 1: interview five strategy leads, founders and consultants producing market plans and investment decisions and inspect a recent example of market research, strategy drafting and decision records sitting in separate rented tools, so assumptions, evidence and approvals drift apart.
  2. Week 2: prepare a consented or synthetic demonstration of the task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted decision records per strategy hour and corrections after approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted decision records per strategy hour and corrections after approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted decision records per strategy hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewed decision record with assumption register. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved strategy patterns, market constraints and review examples, together with reliable delivery for a narrow planning niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for strategy leads, founders and consultants producing market plans and investment decisions. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Vizologi, Composite Catalyst and Get Odin AI, plus spreadsheets, slide decks and general research subscriptions. Compare this product with the buyer's present method on accepted decision records per strategy hour and corrections after approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, research passes, storage, reviewer hours, client revision rounds and licensed source data. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of the reviewed decision record with assumption register. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve source attribution, quotation accuracy and usage permissions. Named owners approve substantive strategy changes and external sharing. One market segment and one planning cycle; final strategy and investment decisions remain with the named owner. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 4 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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