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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsStress-test the company as a cash-and-dependency system, not as a revenue forecast. Build a base case, an AI-downturn case and a severe combined shock; model demand, pricing, churn, margins, inference and cloud costs, collections, staffing and financing together; then connect each breach to an owner, a date and a pre-agreed action. Finish with a reverse stress test that identifies the smallest shock capable of exhausting cash or breaking a critical dependency.
1. Define what failure means before changing any assumptions
A stress test is useful only when it answers a decision question. Write down the conditions that would make the business unable to continue or unable to fund its plan. Typical failure conditions include:
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- Ending cash falling below a minimum operating buffer.
- Cash running out before a financing round is contractually committed and available.
- A debt-covenant or minimum-liquidity breach.
- Loss of a top customer, channel or data license that makes the current plan uneconomic.
- Inability to serve customers after a foundation-model, cloud, payment-processing or security incident.
- A gross-margin or contribution-margin collapse that makes each additional sale destroy cash.
Set the minimum cash buffer from payroll, taxes, debt service, contractual commitments and the time required to reduce spend. Do not use a universal “six months” or “12 months” rule: the correct floor depends on obligations, collection timing and how quickly costs can actually be removed.
Record the decision perimeter
For each failure condition, record the measurement, owner, review date and permitted response. For example, “cash below the board-approved floor for two consecutive month-ends” might trigger a hiring freeze and a financing process; “service unavailable for more than four hours because of a single provider” might trigger traffic migration and an incident review. The trigger should be observable in the monthly close or an operational dashboard, not dependent on a subjective impression.
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2. Build three internally consistent scenarios
Use at least three cases. The base case is the operating plan. The AI-downturn case captures a demand and pricing contraction specific to the company’s exposure. The severe combined shock layers an economic, financing, operational and dependency event on top. A scenario is a path through time, not a single percentage applied to annual revenue.
| Scenario | Purpose | Assumptions to connect | Decision use |
|---|---|---|---|
| Base case | Shows the plan if current operating assumptions broadly hold. | Bookings, conversion, churn, prices, usage, gross margin, hiring, collections, payables and financing dates from the approved plan. | Baseline for variance reporting and resource allocation. |
| AI-downturn | Tests a sector-specific slowdown without assuming the company immediately fails. | Lower customer budgets, deferred experiments, longer sales cycles, higher churn, price compression, slower collections and changed model or cloud costs. | Shows when discretionary spending, hiring or fundraising must change. |
| Severe combined shock | Tests survival under correlated stresses. | Demand contraction plus a capability jump by a competitor, provider outage or policy change, financing delay, customer loss, security event or data-license interruption. | Identifies emergency actions, contingency funding and single points of failure. |
Keep assumptions internally consistent
A demand shock should reduce bookings and conversion, extend the sales cycle, delay implementation and increase the time to collect invoices. If customers cut budgets, they may also downgrade usage, which lowers variable revenue and can alter inference costs. A financing-market shock should delay proceeds until they are legally committed, while customers may extend payment terms at the same time. Do not reduce revenue while leaving hiring, cloud reservations and vendor commitments unchanged unless the company truly cannot change them during the modeled period.
Choose a monthly time horizon
Model monthly cash for at least the period needed to reach the next committed financing or to execute a full cost-reduction plan. A 24-month horizon is often practical for a venture-backed company, but a shorter or longer period is valid when contracts, debt maturities or migration lead times require it. The first month in which a trigger is breached matters more than the average outcome at the end of the horizon.
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Profitability and liquidity can diverge. A company can report revenue while cash is trapped in receivables, or show an accounting loss while having enough cash because customers prepaid. Build a monthly operating model and a cash bridge that reconcile to the general ledger and billing system.
Revenue and retention
- Split revenue by customer segment, product, geography and usage type.
- Model new bookings, conversion rate, implementation lag, expansion, contraction, renewal timing and logo churn.
- Apply price changes separately from volume changes. A competitor or platform capability jump may force a price cut before the company’s costs fall.
- Track pipeline coverage and stage-to-stage conversion rather than assuming the current pipeline closes on schedule.
Cost and margin
- Separate model-inference, cloud, storage, data, support and payment costs from fixed payroll and facilities.
- Show gross margin and contribution margin after all variable AI and service costs. A feature with attractive software gross margin can become loss-making when inference or human review rises.
- Identify committed spend, such as reserved capacity or annual contracts, versus discretionary spend that can stop within one or two approval cycles.
- Include severance, contract termination fees, migration work and security remediation when a mitigation itself consumes cash.
Working capital, debt and financing
- Forecast accounts-receivable days by segment and apply longer payment terms in the downturn case.
- Model payables, tax dates, payroll, debt service, capitalized development and refunds on the dates cash actually moves.
- Exclude a future financing round from runway until proceeds are committed, documented and available under its conditions.
- Record covenant tests and borrowing-base limits in the same monthly calendar as payroll and vendor payments.
A simple cash roll-forward is ending cash = beginning cash + customer receipts + committed financing proceeds − operating cash costs − capital expenditure − debt service. Calculate net burn and ending cash for every month and every scenario. Runway is the first month in which ending cash falls below the defined floor, not the number produced by dividing today’s cash by an average burn that hides a near-term step-up.
4. Map concentrations and dependencies
AI companies can fail even when demand remains acceptable. A single provider, license, employee or customer can become a bottleneck. Build a dependency register with an owner and a quantified fallback.
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| Dependency | What to measure | Stress event | Fallback data |
|---|---|---|---|
| Customer | Share of revenue, gross profit, receivables and renewal date. | Top account churns, downsizes or pays 90 days late. | Replacement pipeline, sales-cycle length and transition cost. |
| Cloud platform | Spend, reserved capacity, regions, service-specific lock-in and portability. | Outage, price change, quota restriction or regional disruption. | Migration lead time, engineering capacity, egress cost and tested alternate architecture. |
| Foundation-model provider | Inference volume, model-specific features, rate limits, policy terms and price exposure. | Price cut that compresses your selling price, outage, deprecation, rate limit or policy change. | Quality-tested alternate model, routing layer, cached responses and migration cost. |
| Data supplier or license | Contract term, renewal rights, geographic scope and replacement availability. | License loss, restricted use or supplier interruption. | Substitute dataset, re-training time, legal review and quality impact. |
| Payment processor | Transaction share, settlement delay and reserve requirements. | Account hold, outage or extended settlement. | Secondary processor, reconciliation effort and customer communication plan. |
| Key employee | Unique system knowledge, notice period and documentation quality. | Departure, illness or inability to work. | Named backup, runbooks, cross-training time and recruiting lead time. |
Quantify replacement lead time and migration cost for every critical row. “We can switch later” is not a mitigation unless the company has preserved data portability, tested the path and reserved engineering capacity.
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5. Add AI-specific shocks that ordinary downturn models miss
Price compression and cost asymmetry
A foundation-model price cut can make a capability cheaper for every competitor at once. Your customers may demand a lower price faster than your contracts or infrastructure costs adjust. Test a case in which selling prices fall immediately, usage rises because customers consume more, and savings arrive only after contract renewals or architecture changes.
Capability jumps and feature commoditization
Assume a platform or competitor makes a core feature easy to copy. Reduce win rates, shorten the period of differentiation and increase product or support spending needed to retain accounts. The test should identify which workflow, proprietary data or integration remains defensible rather than treating the entire product as equally exposed.
Demand deferral
Customers may delay experiments while waiting for a newer model, a clearer policy or a lower budget cycle. Model fewer pilots converting, longer procurement and a higher percentage of trials that expire without expansion. Keep renewal timing separate from new-logo demand; an installed base can remain stable while the pipeline collapses.
Provider and policy disruption
Include outage, rate-limit reduction, model deprecation, changed safety policy and loss of a required data license. For each event, specify the maximum period the service can operate in degraded mode and the number of customers affected. A multi-provider architecture reduces exposure only if traffic can be routed, outputs meet quality requirements and contracts permit the use.
Correlated errors and cyber events
Similar models or automation rules can fail in the same way, creating a security, legal, reputational or customer-support event across many accounts. Test incident-response costs, service credits, legal review, notification obligations, lost renewals and the capacity required to review or correct outputs. The International Monetary Fund’s October 2024 Global Financial Stability Report warns that correlated AI behavior can increase speed and volatility under stress and emphasizes critical third-party providers and cyber resilience; a startup should therefore test correlated failure, not only a sales decline.
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6. Set triggers before you run the model
Triggers turn a spreadsheet into governance. Set a threshold, an owner, a decision date and an action before results are known. The examples below are a framework, not universal limits.
| Trigger | Illustrative threshold | Pre-agreed action | Owner and timing |
|---|---|---|---|
| Runway | Projected cash falls below the board-approved floor within the operating horizon. | Freeze unapproved hiring, reforecast weekly cash and start financing or cost-reduction work. | CEO and finance lead; decision within five business days. |
| Gross margin | Contribution margin after inference, cloud, data and support drops below the plan’s minimum. | Reprice usage, route to a lower-cost model, restrict loss-making workloads or renegotiate vendor terms. | Product and finance; review at the next pricing or release meeting. |
| Customer concentration | One account or segment exceeds the internally approved share of revenue or receivables. | Escalate renewal, cap exposure in the forecast and fund diversification pipeline. | Sales leader; account plan dated to renewal. |
| Pipeline coverage | Qualified pipeline falls below the conversion-adjusted bookings needed for the next quarter. | Cut low-yield acquisition spend, focus on expansion and revise hiring assumptions. | Revenue leader; weekly review until restored. |
| Provider dependency | A single cloud or model provider cannot be replaced within the documented service objective. | Prioritize portability, backup capacity and a tested routing or migration path. | CTO; milestone and budget assigned immediately. |
| Security or reliability | Incident severity or degraded service exceeds the approved customer-impact limit. | Activate incident command, customer communication, legal review and recovery testing. | Security or operations lead; incident clock starts at detection. |
Attach residual risk to every action. A trigger is not complete if it says “reduce costs” without naming which costs, how much cash the action saves, what customer harm it creates and when the saving appears.
7. Run a reverse stress test from failure
Forward scenarios show what happens under chosen assumptions. A reverse stress test starts with the failure condition and works backward to find the smallest combination of shocks that causes it.
- Choose one failure, such as cash below the minimum floor before the next financing.
- Hold contractual obligations and committed spend fixed, then vary demand, price, churn, collections, inference cost and financing timing.
- Find the first month of breach and record the combination that produces it.
- Test whether one dependency event, such as a provider outage or top-customer loss, moves the breach earlier than the financial shock alone.
- Rank mitigations by cash saved, time to effect, reversibility, customer harm, execution complexity, dependency reduction and residual risk.
- Assign contingency financing and an escalation path for the smallest plausible breach combination.
This method prevents false comfort from a “moderate” scenario that is individually plausible but misses a dangerous combination, such as slower sales, 60-day collections and a model migration in the same quarter.
8. Put the right metrics on one dashboard
Review a compact dashboard monthly, and weekly when a trigger is active. Every metric should show actual, base case, AI-downturn case, severe case, variance and owner.
- Ending cash and net cash burn by month.
- Runway under each scenario, excluding uncommitted financing proceeds.
- Bookings, pipeline coverage, conversion, sales-cycle length and implementation lag.
- Logo churn, revenue retention, expansion, contraction and renewal dates.
- Gross margin and contribution margin after model-inference, cloud, data and support costs.
- Accounts-receivable days, overdue balances and committed versus discretionary spend.
- Debt-service obligations, covenant headroom and financing milestones.
- Revenue, gross-profit and receivables concentration by customer, channel and geography.
- Spend and operational exposure to each cloud, foundation-model vendor, data provider and payment processor.
- Key-person coverage, unresolved incidents, trigger breaches, mitigation owner, decision date and residual risk.
9. Use published scenarios as calibration references, not forecasts
Official stress scenarios can help you choose a shape and timing for an economic shock, but they are not startup predictions. The Federal Reserve describes its scenarios as “not forecasts” but hypothetical severe economic downturns and market stresses designed to assess bank resilience and capital planning. Its interagency guidance says stress-test results should be clear, actionable, well supported and used in decision-making. Those principles transfer to startups, but the variables must match the company’s exposure.
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National Credit Union Administration example
The National Credit Union Administration’s 2024 severely adverse scenario describes a hypothetical global recession with unemployment peaking at 10% in 2025 Q3. Use that path only as a calibration reference for a company whose customers are sensitive to employment; do not present it as a prediction of an AI downturn or of startup demand.
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The Federal Reserve’s 2026 severely adverse scenario raises unemployment from 4.5% in 2025 Q4 to 10% in 2027 Q3 while combining falling risky-asset prices, lower risk-free rates and high volatility. A startup can borrow the sequencing—labor-market deterioration followed by financing and market stress—then replace the banking exposures with its own customer, pricing, cloud and collection assumptions.
No published startup statistic establishes a universal runway, churn or margin threshold. Set those levels from obligations, contracts, vendor terms, customer behavior and the financing plan.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.10. Compare mitigation plans on more than cash savings
When a trigger fires, compare alternatives on the same axes. A plan that saves the most cash can still destroy renewals or leave the company dependent on one provider.
| Mitigation | Runway effect | Time to effect | Trade-offs to record |
|---|---|---|---|
| Hiring pause and backfill freeze | Usually medium; depends on open roles and start dates. | Immediate for unaccepted offers; slower for existing staff. | Slower product delivery, burnout and weaker recovery capacity. |
| Reprice or meter high-cost usage | Potentially high when inference drives contribution loss. | Fast for new contracts; delayed by existing terms. | Customer churn, support burden and competitive response. |
| Route workloads across models or providers | Variable; savings may require engineering spend first. | Days to months, depending on portability and testing. | Quality variance, compliance review, outage complexity and residual dependency. |
| Reduce discretionary acquisition spend | Medium and visible in cash forecasts. | Usually one billing cycle. | Smaller future pipeline and slower diversification. |
| Renegotiate vendor terms | Can protect near-term cash without changing service. | Depends on supplier leverage and renewal date. | Longer commitments, penalties or reduced flexibility. |
| Raise contingency capital | High if completed; zero until committed. | Uncertain in a stressed market. | Dilution, covenants, execution distraction and financing failure risk. |
| Pause or retire a product line | Potentially high after transition costs. | Weeks to quarters. | Customer harm, contractual liability, write-offs and loss of strategic option. |
Document who approves each action and what evidence would reverse it. Reversible measures—such as pausing unstarted hiring—normally precede irreversible ones, such as layoffs, customer migrations or shutting down a product, unless the cash breach leaves no time.
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If you use scenario-planning or cash-flow software, assess whether it can support the governance described here rather than merely draw charts. Check:
- Data portability and reliable imports from accounting, billing, payroll and cloud-cost systems.
- Flexible scenario assumptions with version history and an audit trail.
- Visibility into model-inference, cloud, data and support costs at the workload or customer level.
- Security controls, access logs and separation of duties.
- Ability to model customer concentration, provider outages, delayed collections and financing conditions.
- Outputs that map directly to trigger thresholds, owners, decision dates and residual risk.
- Export formats that remain usable if the company changes tools or providers.
A tool does not replace judgment. The model is only as credible as its contract dates, cost classifications, dependency map and documented assumptions.
12. Establish a review cadence and evidence trail
Monthly operating review
Close the prior month, reconcile cash to the bank, refresh actual churn and collections, compare inference and cloud costs with usage, and update each scenario’s breach date. Record changes to assumptions rather than overwriting the prior version.
Event-driven review
Rerun the test when model prices, customer budgets, fundraising conditions, vendor terms, regulation, security posture or a critical contract changes. A provider deprecation notice or a top-customer renewal loss should not wait for the next quarterly board meeting.
Board and leadership communication
Present the scenario paths, trigger status, actions already approved, cash impact, customer impact and residual risks. State which financing proceeds are committed and which are merely expected. The Federal Reserve’s principle that results be clear, actionable and well supported is a useful standard for startup decision materials.
13. Common stress-testing mistakes and corrections
- Using one percentage haircut. Correct it by linking bookings, conversion, churn, price, usage, collections and staffing in a time path.
- Counting a planned fundraise as cash. Exclude proceeds until they are committed and available under documented conditions.
- Ignoring variable AI costs. Recalculate contribution margin after inference, cloud, data, support and human-review costs.
- Assuming a backup provider is ready. Measure portability, quality testing, migration lead time, egress cost and legal permission.
- Modeling only revenue risk. Add outages, policy changes, data-license loss, cyber events, key-person loss and correlated automation errors.
- Setting triggers after seeing the answer. Pre-commit thresholds and actions to avoid delaying an unpopular decision.
- Choosing universal runway rules. Derive the cash floor from obligations, payment timing, debt and the time needed to execute mitigations.
- Updating only annually. Review monthly and rerun whenever market, vendor, customer or regulatory conditions change.
14. A practical implementation sequence
- Write the failure conditions and minimum cash floor.
- Export 24 months of revenue, cost, billing, payroll, debt and cash data, then reconcile it to the ledger.
- Separate revenue segments, variable AI costs, committed spend and discretionary spend.
- Build base, AI-downturn and severe combined monthly scenarios with consistent assumptions.
- Inventory customer, cloud, model, data, payment and key-person dependencies; quantify replacement lead time and cost.
- Set trigger thresholds, owners, decision dates and pre-approved actions.
- Run the reverse stress test to identify the smallest breach combination.
- Rank mitigations by runway impact, speed, cash cost, reversibility, customer harm, complexity, dependency reduction and residual risk.
- Publish the dashboard and review it monthly, with event-driven reruns when assumptions change.
The result is not a prediction of whether an AI downturn will occur. It is a dated operating plan that shows how quickly cash, margins, customers and critical providers can deteriorate—and what the company will do before a manageable problem becomes a failure.
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