The Studio Máté blog
Category: AI Agents
AI Client Onboarding: How to Automate the First 72 Hours
An onboarding agent can run the first 72 hours after a client signs. Here is the architecture, the economics, the metrics and the failure modes to avoid.
The Anatomy of a B2B Lead Generation Agent
Inside a B2B lead generation agent: the 5 layers, the real economics, the 3 failure modes, and the build sequence that makes lead generation compound.
Why Your CRM Needs an AI Agent Layer, Not More Fields
A CRM agent layer beats adding more fields: see the 3-tier architecture, the signals to watch, and the economics that free 2–4 hours per rep each week.
What a Revenue-Generating AI Agent Actually Does
What a revenue AI agent actually does: the four functions that drive pipeline, the architecture behind it, and five tests to run before you deploy.
AI Appointment Booking: Why the Old Way Is Losing
An AI booking agent qualifies, schedules and re-engages leads in under 60 seconds. See the architecture, real costs and where a booking agent pays back.
The Real Cost of Not Having a Lead Qualification Agent
Lead qualification without AI quietly costs growth-stage teams six figures a year. See the real numbers, the agent architecture that works, and build-vs-buy.
How AI Agents Replace Your First 10 Marketing Hires
Marketing agents can cover the first 10 marketing hires' work. See the 10 functions they absorb, cost comparisons, build order and where they break down.
Designing an AI agent your customers actually trust
A practical guide to customer agent design: disclosure, confidence thresholds, escalation triggers and the trust metrics that matter more than deflection.
What separates an AI agent that sells from one that deflects
A deflecting sales agent answers questions; a selling one closes deals. Learn the 4 design layers — qualification, objections, escalation and handoff.