ExecuteCX builds production voice agents on Amazon Connect that complete the work — book the rental, generate the quote, file the intake, update the system of record — and we stay after go-live to run them.
Revenue-handling voice agents live in market today. Not a demo.
The conversation is the interface. The workflow is the product. One accountable partner across all four.
Mine what you already know. Conversation Intelligence classifies and summarizes your call recordings and wires them into your workflows — not a dashboard. An Agent-Ready Knowledge Base turns training videos, docs, and procedures into fuel for agent-assist and AI agents. Read-only, low-risk, and it ends in a data-backed automation roadmap.
Production AI voice agents — plus chat, SMS, and email — engineered for the details that make them usable: sub-second latency, natural turn-taking, reliable name and email capture, multiple languages, and graceful escalation to a person the moment one is needed. In production, agents like these deflect 30%+ of repeat contacts.
The agent finishes the job, not just the conversation: bookings completed, quotes and proposals generated, intake processed, systems of record updated, follow-ups scheduled. It’s why we’re named ExecuteCX — and the same agents work behind the scenes on scheduling, quote/CPQ automation, and intake that never touches a phone line.
Most AI vendors leave at go-live. That’s where we start: monthly bot performance reviews, prompt regression testing, conversation QA, model and cost optimization, and an AI-spend dashboard you can read at a glance. AI agents drift; ours are maintained.
We also do the plumbing: CCaaS implementation and migration on Amazon Connect — including hybrid builds layered over existing Cisco and PBX estates. Modern telephony first. AI that executes, on top.
If the workflow has rules, an agent can run it — on the phone or behind the scenes.
Recent work across regulated, high-volume industries.
A production voice agent rents units end-to-end by phone — after hours and on overflow. It checks availability, reserves the unit, sends the payment link, and updates the CRM, with no human on the line — 30% of eligible calls completed, booking rentals after hours when the office is dark.
Contact center recordings classified and summarized at scale — 5,000 calls per month feeding downstream workflows, not a reporting graveyard — inside a governed environment where PHI never left the client’s control.
Amazon Connect layered over an existing Cisco estate — modern routing, outage handling, and self-service without touching the core telephony investment.
A phased approach that proves value before you commit to scale.
Fixed fee, two to three weeks. Voice AI or Process Automation: call-driver and process analysis, automation candidates, integration readiness, an ROI model, and a roadmap worth keeping even if you never hire us.
About 60 days: one high-value call type or workflow live in production — not a sandbox — priced against outcomes. Assess, prove, scale, optimize.
Monthly: continuous tuning, conversation QA, prompt regression testing, cost optimization, and reporting. The pilot proves it; operations keep it true.
First journey live in 60 days — for voice agents and back-office automation alike.
For healthcare, insurance, utilities, and the public sector: agents and processing pipelines run in secured, governed environments — your data never leaves your control. PHI stays put. Audit trails come standard. And because we cost-engineer the model pipeline — selecting and routing across models — the economics still work at volume.
Start with a free 30-minute call — an AI Readiness Check with a one-page summary. If there’s real money on the table, the fixed-fee Assessment maps it: ROI model and roadmap in two to three weeks.
Book a Free 30-Minute Call →