Evidence-backed investment analysis and portfolio workspace

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 individual investors and small advisory teams managing their own portfolios use it to solve "investment decisions, portfolio tracking and reporting are spread across several rented tools, so holdings, risk figures and recommendations cannot be traced to one reviewed source"?
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 portfolio actions per analyst hour and corrections after review.
4. Measure, then decide. Track accepted portfolio actions per analyst hour and corrections after review; 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 licensed market data feed and one broker statement format; final suitability and trading decisions remain with the investor or licensed adviser. Implement one approved input format, a bounded representative case set and the first two task modules: ingest licensed market data and broker statements; track holdings, cost basis and performance. Support the remaining modules with operator review: screen stocks against stated criteria; monitor dividend yields across holdings; assess portfolio risk against stated limits; suggest goal-aligned allocation changes; simulate outcomes under stated assumptions. 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 reviewer-approved portfolio actions and reports linked to their evidence. Retain the explicit scope boundary: One licensed market data feed and one broker statement format; final suitability and trading decisions remain with the investor or licensed adviser.

What the build depends on. Data upload and preview, asynchronous analysis jobs, editable version history, reviewer access and tested export formats. High-fidelity reporting requires specialist financial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One licensed market data feed and one broker statement format; final suitability and trading decisions remain with the investor or licensed adviser.

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined portfolio package. Offer a monthly production allowance after repeat demand. Quote complex multi-account or advisory workflows separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved portfolio action and report. 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 tool sprawl and unreviewed recommendations while keeping one traceable record of holdings, risk and decisions. Demonstrate a concrete reviewer-approved portfolio action and report using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Individual investors and small advisory teams managing their own portfolios professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved portfolio action and report from a small authorized input set, with a transparent calculation of accepted portfolio actions per analyst hour and corrections after review and no promised returns.

The first 30 days

1. Week 1: interview five individual investors and small advisory teams managing their own portfolios and inspect a recent example of investment decisions, portfolio tracking and reporting spread across several rented tools, so holdings, risk figures and recommendations cannot be traced to one reviewed source.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted portfolio actions per analyst hour and corrections after review, 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 portfolio actions per analyst hour and corrections after review. 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 portfolio actions per analyst hour and corrections after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved portfolio actions and reports linked to their evidence. 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 portfolio templates, risk constraints and review examples, together with reliable delivery for a narrow investment niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for individual investors and small advisory teams managing their own portfolios. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Invxst AI, RAFA, Sagehood, hoopsAI, Lambda, Tradepost.ai, Alpha, Intellectia.AI and Finalle.ai, plus spreadsheets and broker portals. Compare this product with the buyer's present method on accepted portfolio actions per analyst hour and corrections after review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Data feed licensing, model calls, 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 reviewer-approved portfolio actions and reports linked to their evidence. Track cost per accepted output, including correction work, unsuccessful cases and support.