STRATFIT — Platform Governance
Simulation Reliance
& Legal Foundations
This page explains how STRATFIT's simulation outputs should be interpreted, what the platform relies on, and the governance principles that govern its outputs.
Platform definition
What STRATFIT is — and what it is not
STRATFIT is a survivability intelligence platform — a deterministic simulation and pressure-testing instrument designed to help business founders and operators understand how their business behaves under structural stress.
STRATFIT is not accounting software, financial forecasting software, investment advice software, legal advice software, or a substitute for professional financial or operational counsel. Its outputs are analytical in nature — designed to inform decision-making, not replace professional judgment.
Core reliance principle
Simulation reliance — what outputs depend on
Every STRATFIT simulation output is derived directly and exclusively from the information supplied to or connected with the platform. This includes: manual inputs entered by the user, financial files uploaded to the platform, live data sourced from connected accounting integrations, and calibration settings applied by the user.
Outputs reflect the information available to STRATFIT at the time of simulation. Where information is incomplete, absent, or unverified, the engine applies conservative structural defaults. These defaults are documented and visible through the platform's data confidence system.
STRATFIT does not independently verify, audit, or validate the financial information provided by users. The accuracy of simulation outputs is directly correlated with the completeness and accuracy of information supplied.
Data quality framework
Data confidence and simulation quality
STRATFIT surfaces a data confidence level alongside all simulation outputs. This level reflects the completeness of the business profile, the quality of field coverage, and the fidelity of the data source.
When: Live connected accounting data (QuickBooks/Xero) with strong calibration coverage.
Interpretation: Outputs have strong structural grounding. Suitable for operational decision support.
When: Uploaded file with adequate field coverage, or connected data with partial calibration.
Interpretation: Outputs are directionally reliable. Some structural details may be estimated from defaults.
When: Manual inputs only, or uploaded file with gaps, or minimal calibration.
Interpretation: Outputs are indicative. Treat as orientation — not precision. Calibration recommended.
When: Very sparse inputs. Engine reasoning primarily from defaults.
Interpretation: Outputs require significant qualification. Review data completeness before acting.
Engine integrity
Deterministic simulation — same inputs, same outputs
STRATFIT's simulation engine is fully deterministic. The same business profile, scenario, and parameters will always produce identical simulation results, regardless of when the simulation is run. There is no randomness, model variance, or drift in structural analysis outputs.
This means that STRATFIT outputs are auditable, reproducible, and boardroom-ready. Every breakpoint, survivability finding, and risk signal traces directly to an explicit, inspectable calculation chain.
Interpretation caveat: Determinism means that if the input data is inaccurate, the simulation will deterministically produce inaccurate outputs. The engine cannot compensate for incorrect financial inputs — this is a user responsibility, not a platform limitation.
Important notice
Simulation outputs are not financial advice
STRATFIT simulation outputs — including survivability scores, runway projections, risk rankings, pressure-test results, and fracture event timelines — are analytical outputs generated from the information provided to the platform.
These outputs do not constitute financial advice, investment advice, accounting advice, legal advice, or any form of professional counsel. No output from STRATFIT should be acted upon without appropriate professional verification and independent assessment.
STRATFIT is a decision support instrument — it is designed to surface structural insights that inform better questions, better conversations, and better preparation for professional advisory engagements.
Limitation of liability
Platform liability and user responsibility
STRATFIT and its operators accept no liability for decisions made, actions taken, or losses incurred as a result of reliance on platform outputs. Users assume sole responsibility for all business decisions, financial decisions, and strategic decisions made in connection with use of the platform.
The platform is provided "as is" for analytical and decision-support purposes. No warranty is made regarding the accuracy, completeness, or fitness for purpose of simulation outputs in any specific context.
AI interpretation
Artificial intelligence in STRATFIT
STRATFIT uses artificial intelligence to interpret and narratesimulation findings — not to calculate them. All numerical outputs (survivability scores, runway months, risk dimensions, breakpoint timelines) are produced by the deterministic engine, not AI.
AI narration is designed to make engine outputs accessible and founder-readable. Where AI language is used to explain findings, it represents interpretation of engine-produced data — it does not introduce independent calculations or override engine outputs.
Data governance
How your data is used
Financial data provided to STRATFIT — whether entered manually, uploaded as a file, or sourced from a connected accounting integration — is used exclusively for the purpose of generating simulation outputs for the business that provided it.
STRATFIT does not sell, share, or use individual business financial data for any purpose other than providing the simulation and analysis services requested. For full data handling details, see our Privacy Policy.
Future architecture — admin governance
Confidence monitoring and data integrity governance
STRATFIT's platform governance roadmap includes: automated detection of failed or malformed data imports; confidence degradation alerts when sync integrity falls below threshold; simulation audit trails for enterprise and boardroom reporting; calibration history and assumption explainability; and benchmark-relative confidence assessment.
These systems are architected within the platform and will be progressively activated as the platform reaches enterprise-grade deployment.