Ganivra field notes
Practical analysis for teams measuring AI usage, token consumption, agent cost, MCP tool usage, customer cost-to-serve, and AI gross margin.
Build a fundraising financial model with pricing-plan economics, hiring costs, cash runway, and funding scenarios. Includes a two-plan worked example and investor preparation checklist.
Explore 12 sourced AI cost management statistics on spending, visibility, waste, and unit economics, with 2026 research dates and practical measurement guidance.
Explore 12 sourced AI agent statistics on adoption, token costs, productivity, and business value, with research dates, limitations, and forecasts.
Explore 15 sourced AI customer service statistics on adoption, productivity, costs, and ROI, with study dates, limitations, and metrics to track.
Test AI subscription pricing against real customer costs. Calculate usage allowances, stress-test heavy users, and evaluate discounts, overages, and margins.
Learn why higher AI adoption can shrink SaaS profit: fixed pricing, heavier workflows, retries, and hidden delivery costs. Spot the problem by customer.
Calculate AI SaaS gross margin with a clear formula, delivery-cost checklist, and worked example. Include inference, tools, hosting, and customer support.
Compare OpenMeter and Ganivra for AI usage metering, billing, customer cost attribution, and agent workflows. Find the right fit for your AI product.
Compare token-based billing, AI credits, and outcome-based pricing. Learn how to choose a billing unit, handle retries, and protect customer margins.
Learn how AI metering works: measure LLM tokens, attribute usage and costs to customers, and build reliable data for usage-based billing.
Compare inbound and outbound Voice AI economics across demand, dial attempts, valid intents, human answers, completed outcomes, retries, compliance, cost-to-serve, and customer margin.
Learn how response latency, overtalk, false interruptions, dead air, retries, and reconnects increase Voice AI minutes, model work, human escalation, abandonment, and cost per completed outcome.
Learn Voice AI human-handoff economics across escalation triggers, transfer attempts, connected agents, context delivery, live handling, durable resolutions, repeat calls, and customer margin.
Learn why cost per answered call misstates Voice AI economics and how to replace it with loaded cost per valid intent, verified outcome, completed outcome, and customer margin.
Compare AI receptionists and human answering services across pricing, call handling, bookings, completed outcomes, after-hours coverage, integrations, escalations, errors, and customer margin.
Learn healthcare appointment Voice AI economics across patient-access calls, provider and slot matching, EHR scheduling, confirmations, rescheduling, kept appointments, completed visits, locations, and provider-customer margin.
Learn plumbing and electrical dispatch Voice AI economics across inbound calls, safety screening, trade and job-type classification, booking, technician acceptance, arrival, completed jobs, locations, and contractor margin.
Learn restaurant phone-ordering AI economics across answered calls, valid orders, POS write-back, kitchen acceptance, fulfillment, refunds, remakes, locations, and vendor customer margin.
Learn Insurance FNOL Voice AI economics across inbound loss calls, complete intake, claims-system creation, bounded routing, human handoffs, catastrophe surges, and insurer-customer margin.
Learn property-management Voice AI economics across after-hours maintenance calls, safety-first triage, on-call routing, PMS work orders, vendor dispatch, resolutions, properties, and customer margin.
Learn how to calculate freight detention automation economics across dwell detection, contract terms, evidence, approvals, disputes, invoices, collections, customers, and recovered accessorial dollars.
Learn how to calculate dealership Voice AI economics across service calls, DMS bookings, kept appointments, advisor handoffs, repair orders, rooftops, and fixed-operations gross profit.
Compare Voice AI pricing per minute, per call, and per outcome using break-even formulas, hidden-cost checklists, worked scenarios, buyer ROI, and vendor margin.
Learn how to calculate dental AI receptionist economics across voice calls, valid bookings, confirmations, recalls, human handoffs, kept appointments, practice locations, and production.
Learn how to calculate HVAC AI receptionist economics across answered calls, qualification, booking, dispatch, human handoffs, completed jobs, locations, and gross profit.
Learn how to calculate freight back-office automation economics across documents, TMS updates, freight audit, invoicing, payments, exceptions, cash collection, and margin.
Learn how to calculate insurance claims automation economics across FNOL, document intake, triage, adjuster review, settlement, payment, exceptions, and claims leakage.
Learn how to calculate healthcare revenue-cycle agent economics across eligibility, coding, claims, status, denials, appeals, payment posting, human review, and collections.
Learn how to calculate agentic workflow automation ROI across models, tools, retries, human review, successful outcomes, customers, and hours returned.
Learn how to calculate the true economics of AI customer support across tickets, durable resolutions, escalations, customers, support margin, and retention.
Learn how to calculate the true cost of a voice AI agent across telephony, speech, models, tools, retries, handoffs, customers, and successful resolutions.
Learn how to measure MCP tool cost, downstream model spend, retries, customer cost-to-serve, and gross margin across an AI agent execution.