Phoenix, Arizona

Building
real AI
solutions.

Chatbots, voice agents, and automation systems — designed, built, and deployed. Not theoretical. Not templated. Actually working.

15+ Years industry

2 Founders

↗ Always iterating

💬

Conversational Chatbot

Custom-trained bots that handle real conversations, not just FAQs.

🎙️

Voice AI Agent

Natural-sounding agents that handle calls and qualify leads.

⚙️

Workflow Automation

Connecting tools, eliminating manual steps across your operation.

📐

AI Strategy

Figuring out where AI fits — and where it doesn't.

01 / What We Build

Practical AI, deployed.

💬

Conversational Chatbots

Custom-trained chatbots that answer questions, capture leads, and handle repetitive inquiries — built on real business logic, not off-the-shelf templates.

Botpress · Custom NLP · API Integration

🎙️

Voice AI Agents

Natural-sounding voice agents that handle inbound calls, qualify prospects, and route conversations — no hold music, no scripted menus.

Vapi · ElevenLabs · Telephony

⚙️

Workflow Automation

Connecting tools, automating handoffs, and eliminating manual steps across CRMs, email, and operational systems.

Zapier · Make · n8n · Webhooks

🔗

System Integration

Bridging AI tools with existing platforms — so the technology actually fits the operation rather than adding complexity.

APIs · Webhooks · CRM · Data Pipelines

🚀

Deployment & Hosting

Getting things live, properly — custom domains, performance-optimized, maintained and monitored over time.

Netlify · Vercel · Cloudflare · DNS

📐

AI Implementation Strategy

Figuring out where AI actually makes sense in a given workflow — and where it doesn't. Industry experience matters here.

Consulting · Roadmapping · Use-case Analysis

02 / Work

One example.

↗ Live project

Recruit2College

recruittocollege.com ↗

A college recruiting platform built for high school athletes — helping students navigate the recruiting process with AI-powered tools rather than expensive consultants.

The platform brings together a conversational chatbot, a voice intake agent, and automated follow-up workflows into a single, working system. Built from scratch, deployed to production.

What it is College recruiting platform for high school athletes

Automation Zapier lead capture → email pipeline

Hosting Netlify, custom domain

Status Live and running

Takeaway

"The best way to learn AI implementation is to build something real. Recruit2College was a proof of concept that became a working product — voice agents, chatbots, automation, all connected."

03 / About

Who's building this.

Chris

Co-Founder · Strategy & Implementation

15+ years as a claims analyst in the insurance industry. Deep background in complex, process-heavy operations — now applying that lens to AI tooling and practical implementation.

Vanessa

Co-Founder · Marketing, Operations & Brand

15+ years in program management with a focus on transformative and strategic enablement. Vanessa brings the operational rigor and strategic clarity that turns AI concepts into structured, scalable programs.

Tokkiann AI is a two-person operation built on complementary strengths. Chris brings the technical depth — years of working inside complex, process-heavy industries gave him a clear view of where automation and AI actually matter versus where it just adds noise.

Vanessa brings the program management and strategy layer — 15+ years of experience in transformative and strategic enablement means she knows how to take a capability and build the structure, process, and roadmap around it that makes it actually stick.

Together, the goal is simple: build real AI implementations, share what we learn, and keep the focus on things that actually work in production — not demos, not hype.

We're based in the Phoenix area. The industry background is an asset — we know how operations run, which makes it easier to build tools that fit the reality.

Now

Building AI implementations at Tokkiann AI

2024

First voice agent + chatbot deployed to production

2023

Deep dive into AI tooling — Vapi, Botpress, automation stacks

2009–

15+ years in insurance industry operations

04 / Insights

Things learned building this.

Voice agents are harder than chatbots — in ways that matter.

Text is forgiving. Voice isn't. Latency, interruption handling, awkward silences — these all surface immediately in production. Tuning a voice agent is iterative and ongoing, not a one-time setup.

The automation layer is often where projects live or die.

Getting a chatbot to answer questions is table stakes. Getting that data to flow correctly into your CRM, trigger the right notification, and not break when a field is empty — that's the real work.

Industry knowledge is a legitimate technical advantage.

Knowing how an operation actually runs means building tools that fit the reality rather than a simplified version of it. That context doesn't disappear when you switch domains.

Deploy early, fix in production.

Local testing reveals maybe 40% of real issues. The rest surface when actual users hit actual edge cases. Build something minimal, get it live, and iterate based on what you observe.

05 / Contact

Let's chat.

Have a project idea, a question about AI tooling, or just want to compare notes on what's working? We're open to conversations — no agenda required.

Location Phoenix / Cave Creek, Arizona

Focus Chatbots, Voice Agents, AI Automation