{"slug":"tenant-request-router","name":"Trade Triage","category":"Real Estate and Construction","customer":"Property managers at build-to-rent operators and residential block managers","problem":"Tenant maintenance requests are misrouted, causing delays and wasted contractor visits.","value":"For property managers at build-to-rent operators and residential block managers, turn tenant messages and photos into classified, quoted, and booked maintenance jobs. Address the recurring problem: tenant maintenance requests are misrouted, causing delays and wasted contractor visits. The value hypothesis is faster, more accurate triage and booking; the pilot must establish whether that benefit is real.","format":"Operational coordination portal","screens":"Key screens: Inbox, Job detail, Quote review. Use a dashboard list of incoming requests with status badges, a detail view showing tenant message, photos, classification, and suggested trade, and a quote comparison panel where contractors' responses are ranked. Allow the manager to approve with one click, triggering tenant confirmation. Display audit trail of classification and approvals.","functionality":"1. Classify incoming tenant messages by trade and urgency. 2. Extract job details from photos and text. 3. Match with licensed contractors from a database. 4. Send standardized job briefs and parse quotes. 5. Present ranked shortlist for approval. 6. Send tenant confirmation and follow-up survey.","workflow":"Tenant submits request, system classifies trade and urgency, cross-references contractor database, sends briefs, parses quotes, manager approves, tenant receives slot. Start with tenant messages and photos and finish with confirmed booking and satisfaction rating.","ai":"Use multimodal models to read text and images for classification and urgency detection. Use language models to parse contractor quotes. A property manager reviews the shortlist and approves the final booking before any commitment.","inputs":"Tenant messages, photos, property files, contractor database","deliverables":"Classified job list, ranked quotes, confirmed bookings, satisfaction ratings","admin":"Property manager accounts, tenant data privacy, job versions, approval logs, contractor vetting status, audit trail of all actions.","mvp":"First buyer: one property management firm. Use case: inbound email triage only. Modules: classification engine and daily digest. Manual review of all classifications before any contractor contact.","expansion":"Automate quote parsing, booking confirmation, and follow-up surveys after the paid pilot.","usp":"Tenant requests routed to the right trade the first time, cutting misrouted call-outs.","defensibility":"Each job improves the classification model with feedback, and the contractor network and property file integration become proprietary assets.","alternatives":"Manual email and phone coordination, generic facilities management software. This differs by using AI to automate the triage and quote process, not just track tickets.","revenue":"Test pricing at $2 per door per month, with a 500-door pilot generating $1,000 monthly recurring revenue.","costs":"AI model usage, cloud hosting, integration development, contractor database licensing.","integrations":"Email inbox, WhatsApp Business API, property management software (e.g., AppFolio), calendar systems.","dependencies":"Access to a licensed contractor database, multimodal AI model, and property file data.","pilot":"Paid pilot with one firm, baseline: average time-to-fix and misrouting rate. Prove reduction in time-to-fix from 5 to 2 days and 90% first-time correct trade. Decision: continue if metrics met.","plan30":"Week 1: Integrate with one property manager's inbox and build classification model. Week 2: Test with 50 real requests, refine accuracy. Week 3: Build daily digest and dashboard. Week 4: Run manual approval workflow with one contractor.","metrics":"Reduction in average time-to-fix, percentage of jobs correctly classified on first attempt.","channels":"Property management conferences, LinkedIn groups for build-to-rent operators, industry newsletters.","leadMagnet":"Free maintenance inbox audit showing misrouting rates and potential time savings.","message":"Stop playing phone tag: route every maintenance request to the right trade, first time.","retention":"Ongoing subscription with usage-based pricing; value grows as model improves and contractor network expands.","controls":"Limit to approved contractors, require human approval for all bookings, anonymize tenant data, and must not auto-book without manager sign-off.","crossSector":"Facilities management; Insurance claims","fn":["Classify incoming tenant messages by trade and urgency","Extract job details from photos and text","Match with licensed contractors from a database","Send standardized job briefs and parse quotes","Present ranked shortlist for approval","Send tenant confirmation and follow-up survey"],"sc":{"opp":7,"pain":7,"feas":7,"now":7},"phases":[{"name":"MVP","scope":"One buyer segment, one recurring use case; first modules: classification engine and daily digest. Manual review in the loop.","time":{"days":5,"label":"5 days"},"usd":9000},{"name":"Paid pilot","scope":"Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.","time":{"days":6,"label":"6 days"},"usd":11500},{"name":"Full product","scope":"Self-serve onboarding, billing, monitoring and the wider integration set.","time":{"days":11,"label":"2 weeks"},"usd":15500}],"running":[{"stage":"MVP and paid pilot","note":"about 3 customers","hosting":[30,60],"ai":[40,90],"total":[70,150]},{"stage":"Full product","note":"about 50 customers","hosting":[110,210],"ai":[280,560],"total":[390,770]}],"total":36000,"complexity":0.6,"days":22,"shot":true,"demo":true}