Articles, industry benchmarks, technology deep dives and customer stories on AI-powered business automation.
A week-by-week countdown to Black Friday 2026, what a 4× ticket spike really costs against seat-based and outcome-based pricing, and how late you can still deploy on your existing helpdesk.
Decagon, Sierra and Aissist.io compared for mid-market teams on entry cost, deployment time, pricing model, voice and channels — every figure labelled Published, Reported or Vendor-claimed.
Per-seat, per-conversation, per-resolution, per-action and platform-plus-usage compared across ten AI agent vendors, with worked monthly costs at 2K, 10K and 50K conversations.
Resolution is a subset of deflection, handover sits outside it, and no AI vendor bills on proof the problem was solved — eight platforms compared on what actually triggers a charge.
Six order tracking and WISMO reduction tools compared on published pricing, review counts and real evidence — AfterShip, Track by Loop, Malomo, Narvar, Shippo and Aissist.io.
Decagon publishes no rate card. Vendr's $432,750 median contract, the 66% per-conversation vs per-resolution break-even, cost at four volumes, and the contract terms to negotiate now.
A copilot drafts and a person sends; an autopilot finishes the job and escalates the exceptions. Compared across throughput, trust model, failure mode and fit — plus why a copilot's ceiling is set by the person checking it, and what that led us to do with our own product.
A personal take on the Anthropic valuation question: why a $2 trillion IPO cannot be judged with today's seat-based software framework, and how to evaluate agentic AI on the one that is arriving — with the bear case taken seriously.
The defining voice AI trend of 2026 is a single tradeoff: controllability versus latency. A sourced working study of componentized, end-to-end and fine-tuned voice AI architectures — latency budgets, control surfaces, costs, and where voice AI goes in 2027.
