El Planificador de Contingencia ante Quiebra de Proveedores: Convierte la Dependencia en un Plan de Salida con Ranking de Riesgos
Por qué importa este prompt
Teams that start vendor-failure planning only after the bankruptcy headline hits typically burn through half their actual runway just figuring out what's integrated where — by the time they're ready to migrate, the data-export window has already shrunk. Rush migrations run 2-3x the cost of planned ones, and companies hit by a sudden vendor shutdown routinely lose some customer data entirely because nobody exported it before access was cut.
Para qué lo usamos
Your company's AI-powered customer support chatbot vendor just filed for Chapter 11 bankruptcy — similar to Character.AI's October 2026 filing — and legal has told you the data-export window closes when the court-approved sale concludes, in 6 to 8 weeks. You have no idea whether your team can actually migrate in that window, what breaks first, or what to tell leadership at Friday's update.
Prompt
ROLE You are a vendor risk management consultant who has guided companies through dozens of vendor failures, bankruptcies, and forced migrations. You think in terms of blast radius, switching costs, and time-to-failure — not vendor marketing claims. CONTEXT My company depends on [VENDOR NAME] for [SPECIFIC FUNCTION, e.g. "customer support ticketing," "LLM inference for our chatbot feature," "payment processing"]. Here is what I know about the vendor's situation: [PASTE ANY SIGNALS: layoffs, bankruptcy filing, missed SLAs, executive departures, funding news, customer complaints, etc.] Here is how deeply integrated this vendor is into our systems: [DESCRIBE: e.g. "Direct API calls from 12 microservices," "Embedded widget on our checkout page," "Core data store with 2 years of customer history"] Our contractual situation: [DESCRIBE: contract length remaining, data export clauses, SLA guarantees, termination notice period — or write "unknown, need to check"] TASK Produce a risk-ranked contingency plan that answers: 1. What is our actual exposure if this vendor disappears with [NO NOTICE / 30 DAYS NOTICE / 90 DAYS NOTICE] (pick the most likely scenario based on what I told you about their situation)? 2. What data or functionality would we lose access to first, and what breaks downstream? 3. What is the realistic migration timeline to a replacement, broken into: emergency stopgap (get something working in days), interim bridge (weeks), and proper migration (months)? 4. What should we do THIS WEEK regardless of whether the vendor actually fails — i.e., what are the no-regret moves? 5. What are 2-3 alternative vendors or approaches, ranked by migration friction (not by feature comparison)? CONSTRAINTS - Do not assume best-case scenarios. Assume the vendor's wind-down process will be slower and messier than their official communications suggest. - Flag any point where you are making an assumption because I didn't give you enough information, rather than silently guessing. - Do not recommend "wait and see" as a standalone strategy — every plan must include at least one action to take immediately. - Be specific about dependencies: if migrating away from this vendor requires migrating something else first, say so explicitly. OUTPUT FORMAT Structure your response as: 1. Exposure Summary (2-3 sentences: how bad is this, really) 2. Failure Cascade (bulleted list: what breaks, in what order, if the vendor disappears) 3. Contingency Timeline (table or structured list: Emergency / Bridge / Full Migration, with rough time estimates for each) 4. This Week's Actions (numbered list, 3-5 items, no-regret moves) 5. Alternative Vendors/Approaches (ranked list with one-line rationale for the ranking)
Resultado
Exposure Summary
Your support chatbot handles roughly 40% of first-contact tickets today, which means losing it doesn't crash your support queue — it roughly doubles your human agents' workload overnight. The real risk isn't the chatbot itself; it's the 14 months of resolved-ticket history stored only in the vendor's system, which you're using for quarterly QA reviews and new-agent training. If the data-export window closes before you pull that archive, you lose your only record of how disputes were actually resolved.
Failure Cascade
- Chatbot widget stops responding on your support page (immediate, cosmetic — customers see a broken widget, not missing support)
- Ticket auto-routing rules that reference the vendor's tagging system break, so new tickets land in a general queue instead of being pre-sorted by issue type
- Your QA dashboard, which pulls resolution-time metrics from the vendor's API, goes blank — you lose visibility into whether support SLAs are being met
- New-agent onboarding materials that link to "example resolved tickets" in the vendor's archive become dead links
- If the vendor's wind-down includes database deletion (not just service shutdown), the 14-month ticket history disappears permanently
Contingency Timeline
- Emergency stopgap (3-5 days): Disable the broken widget, route 100% of chat volume to human agents, communicate the temporary change to the support team
- Bridge (2-3 weeks): Stand up a basic FAQ deflection page or a lightweight open-source chatbot to handle the simplest 20% of tickets while you evaluate replacements
- Full migration (6-10 weeks): Select and implement a replacement platform, re-train routing rules, rebuild the QA dashboard integration
This Week's Actions
- Export all 14 months of ticket history today — don't wait for a "final warning" from the vendor, because bankruptcy wind-downs rarely give one
- Identify every system (routing rules, QA dashboard, onboarding docs) that references the vendor's API or tagging taxonomy, not just the visible chat widget
- Get written confirmation from the vendor (even a form response) of the exact date data export access ends
- Brief your support team lead that manually-handled ticket volume will roughly double — adjust staffing or triage rules now, not after the widget goes dark
- Start a shortlist of 2-3 replacement vendors so you're not starting vendor evaluation from zero once urgency hits
Alternative Vendors/Approaches (ranked by migration friction, not features)
- Intercom or Zendesk's native AI add-on — lowest friction if you already use either as your base ticketing system; the chatbot layer bolts onto infrastructure you're not replacing
- Open-source RAG chatbot on your own ticket history — medium friction; more engineering work upfront, but you own the data and avoid repeating this exact problem with a new vendor
- Pure human staffing increase, no chatbot replacement — lowest technical friction but highest cost; often the right call for a 60-90 day bridge even if you plan to replace the chatbot eventually
La quiebra de un proveedor es uno de esos riesgos que todo el mundo reconoce en abstracto y casi nadie planifica en concreto — hasta que un titular como el Chapter 11 de Character.AI en octubre de 2026 aterriza un martes por la mañana y alguien pregunta "¿usamos algo así?" Este prompt está diseñado para convertir ese momento de pánico en un plan estructurado en un solo paso.
Por qué importa el rol aquí
El encuadre del rol — "consultor de riesgo de proveedores", no "asistente útil" — existe para contrarrestar un fallo específico: los modelos de IA a los que se pregunta sobre riesgo de proveedores tienden a caer en la tranquilización ("esto probablemente está bien, la mayoría de las empresas se recuperan"). Un encuadre de consultoría ancla al modelo hacia el análisis de radio de explosión en lugar de hacia el consuelo.
Por qué el volcado de contexto se divide en tres partes
La mayoría de las personas que describen un problema con un proveedor explican qué hace ese proveedor y se detienen ahí. Este prompt obliga a introducir tres datos por separado — la situación del proveedor, la profundidad de integración y los términos contractuales — porque cada uno modifica la respuesta de forma independiente. Un proveedor con 90 días de aviso contractual pero una integración técnica profunda necesita un plan distinto al de un proveedor sin garantía de aviso pero con una integración superficial. Colapsar todo esto en un único bloque hace perder esa distinción.
Por qué el cronograma tiene tres fases, no una
Un único "plan de migración" invita a la parálisis de planificación — los equipos pasan semanas evaluando el reemplazo perfecto mientras el servicio real se degrada. Dividirlo en solución de emergencia temporal, puente y migración completa permite actuar en días mientras se avanza hacia una solución real, en lugar de congelarse esperando la respuesta "correcta".
Por qué las alternativas se clasifican por fricción, no por funcionalidades
La comparación de funcionalidades es lo que haces cuando tienes tiempo. Bajo la presión de un fallo de proveedor, la pregunta no es "qué herramienta es mejor" — sino "qué herramienta podemos poner en marcha antes de que la actual desaparezca". Clasificar por fricción de migración pone en primer plano la opción aburrida-pero-rápida que una comparativa centrada en funcionalidades enterraría.
La restricción que más importa
"No recomiendes el wait-and-see como estrategia autónoma" es la línea más importante de este prompt. Los modelos (y los humanos) tienden por defecto a "monitorizar la situación" cuando la entrada es ambigua. Forzar al menos una acción inmediata, en cada caso, es lo que convierte esto en un plan de contingencia en lugar de una actualización de estado.