AI & Automation
Custom AI agents, support chatbots, retrieval systems, and realtime voice agents that resolve work instead of creating another inbox.
Production work with measurable outcomes.
80% ticket auto-resolution across shipped client support systems.
See the Daytronx case study →Built for the teams who feel this problem first.
Want to ship AI features customers love.
Want to automate workflows without firing anyone.
Need AI inside their compliance perimeter.
Related field notes and proof.
Customer Support Automation: What to Automate First (and What to Never Automate)
A practical sequence for customer support automation, what to automate first (tier-1 deflection, triage, agent assist) and what to never automate.
Why AI Agent Pilots Stall, and the Checklist That Gets Them to Production
Most AI agent pilots never ship. The four reasons agents stall in proof-of-concept, and the production checklist we use to get them live in weeks.
AI Chatbot for Customer Support: What It Takes to Auto-Resolve 80% of Tickets
What separates support chatbots that resolve 80% of tickets from the ones customers avoid: data grounding, escalation design, and evaluation before launch.
How Much Does an AI Chatbot Cost in 2026?
Honest 2026 pricing ranges for no-code platforms, custom AI chatbots, multi-channel automation, and the hidden run costs most quotes skip.
AI Chatbot Development Cost: What You’ll Actually Pay in 2026
Custom AI chatbot development from $5k to $75k+, broken down by build tier, timeline, and the five cost drivers you control — from the team that builds them.
Build vs Buy a Chatbot: The Honest 2026 Decision Framework
A six-factor decision matrix, 3-year TCO comparison, and the crossover math that tells you exactly when a custom chatbot beats renting a platform.
How we ship an AI chatbot that resolves 80% of tickets.
The playbook we use to take a support team from drowning in repetitive queries to focusing on strategic work, eval suites, persona tuning, and shadow rollouts.
Chatbots & AI Automation for Consumer Brands
High-volume chatbots, lifecycle automation, retention flows, and reliable AI infrastructure for consumer teams with real traffic.
