How work moves
The buyer should be able to follow one job from intake to quote, dispatch, route, service proof, verification, billing, and retention without switching mental models.
Calls, web, SMS, portal requests, and recurring demand become structured jobs.
On-demand and contract work is priced with service, margin, SLA, and capacity context.
Demand becomes assigned, optimized routes with driver, truck, and time-window checks.
Drivers navigate, adapt, and stay compliant while the route is live.
Stops are completed with photos, weights, contamination notes, signatures, and exceptions.
Exceptions, SLA risk, missed service, post-service fill, and quality issues are triaged.
Completed and verified work turns into invoices, autopay, credits, disputes, and collections.
Health score, churn risk, expansion opportunities, referrals, and lifetime value are managed.
Booked job, price band, serviceable-zone check, consent, and urgency.
Optimized route, stop sequence, truck assignment, SLA windows, and proof requirements.
Completion state, photos, weight, exception notes, geofence, and post-service fill.
Verified service, credits, SLA evidence, duplicate-invoice check, and billable lines.
Payment history, client health, margin, churn risk, and expansion opportunities.
How it fits together
The master blueprint defines Haultro as three connected layers. The physical waste operation produces signal, the platform turns that signal into workflow, and the AI engine applies stage-specific intelligence with guardrails and audit trails.
Hardware layer
Smart bin sensors, connected fleet GPS domes, roll-off trackers, driver tablets, scale tickets, photos, and telematics feed the platform in real time.
Platform layer
Intake, quoting, dispatch, route execution, proof, verification, billing, and retention share one data model, so the operation stops re-keying work between tools.
AI engine
The Trunnion Intelligence Engine predicts, recommends, drafts, and acts inside guardrails, with every autonomous action logged and overridable.
Hardware roadmap
The platform software, API endpoint, anomaly detection engine, AI fill prediction models, and Vision AI are ready. Haultro-branded hardware is planned across smart bins, connected fleet, and roll-off trackers, with beta in Q3 2026 and general availability in Q1 2027.
Wireless ultrasonic fill sensor with LTE-M connectivity, IP67 weather sealing, 5-7 year design battery life, fill, temperature, tilt, battery, GPS, and signal readings.
Vehicle GPS every 15 seconds, driver tablets with AI-optimized stop sequences, and OBD-II engine telematics flowing into predictive maintenance.
Weight cells and GPS tags track roll-off containers through delivery, active service, pickup-ready, and in-transit states with plus/minus 2% weight accuracy target.
What it is made to solve
Haultro needs to sell outcomes before modules. Each feature should map to a real operational failure, the control that prevents it, and the record that proves it happened.
Before: Dispatchers hand-sequence routes, guess at capacity, and call drivers when one job changes.
Haultro: AI builds and resequences routes against fill, time windows, traffic, capacity, landfill cutoffs, and driver availability.
Draft to Scheduled to Pushed to In Progress to Completed route lifecycle.Before: Calls, voicemails, SMS, web requests, and after-hours bookings live outside the platform.
Haultro: The AI voice and intake layer qualifies, quotes, books, logs, recovers missed calls, and escalates when needed.
Twilio call control, Scribe realtime transcription, ElevenLabs branded voice, and Haultro tool calls.Before: Blocked access, contamination, wrong bins, and service notes show up late or not at all.
Haultro: Driver app and in-cab voice capture photos, weights, exception notes, proof of service, and completion events in the moment.
Hands-free logging, Vision proof, contamination checks, and guided exceptions.Before: Credits, missed pickups, and customer emails happen after the damage is done.
Haultro: SLA rules check every 15 minutes, anomalies are correlated, and escalation or credit workflows open automatically.
Four-category anomaly detection, post-service fill, and breach attribution.Before: Tickets, weights, credits, and completed work get re-keyed days later, which leaks revenue.
Haultro: Verified service becomes invoice-ready, with Stripe Connect, autopay, payment links, credits, dunning, and reconciliation.
Service-confirmed, duplicate-invoice, and credit-applied checks before invoice send.Before: Sites operate differently, performance is compared manually, and best practices stay local.
Haultro: Portfolio Intelligence benchmarks orgs, flags outliers, rolls up risk, and turns analytics into action.
Multi-tenant admin, audit logs, per-org LLM settings, and cross-org reporting.The AI command center
A multi-tier AI engine with department-level agents that analyze, advise, and report across dispatch, fleet, and billing, then roll insights up to the executive level. Ask it anything about your operation and get an answer with the records behind it.
Speech intelligence
The v1.4 blueprint names ElevenLabs Scribe as Haultro's speech intelligence layer: realtime transcription for live calls and in-cab voice, batch transcription for voicemail, inspections, PII redaction, and dispute evidence.
Answers inbound calls, captures consent, qualifies the job, runs dynamic pricing, books the work, sends SMS follow-up, and escalates to a human when the call leaves the script.
Lets drivers log service, exceptions, blocked access, contamination, and notes hands-free while parked or moving under the safety threshold.
Turns spoken inspection notes into structured maintenance work orders with component, urgency, parts, and truck history context.
Batch transcription creates diarized, redacted transcripts and evidence packs for billing disputes, SLA credits, and regulated customers.
Operating roster
Waste companies do not run on five generic permission tiers. The blueprint maps the real jobs that move work from demand to cash, including the workspaces that need to become visible in the product story.
Security architecture
The blueprint defines a five-layer security pipeline across API requests, WebSockets, client portal access, and IoT ingestion. Enterprise tier includes SAML SSO, RBAC, audit logs, and SOC 2-aligned controls with Type II certification in progress.
Capability areas
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