AI agent development services: built, deployed, done.
A catalog of the agents that do real work — support, chat, voice, booking, lead-qual, and more. We build, integrate, and deploy the finished agent in your stack for one flat fee. Not software you configure. The agent, doing the job.
Pick the agent. We ship it.
Eight production agents, each named for the job it does. Every one is built to your workflow, wired into your systems, and deployed live — for a flat fee, from $8,000.
Resolves inbound support tickets end-to-end across chat, email, and help center — answers, takes action in your systems, and escalates cleanly when it can't.
A branded chat agent on your site that answers product questions, routes visitors, and qualifies leads in the flow — 24/7, instead of a static FAQ.
Answers and places calls in natural voice — inbound reception, triage, and outbound confirmations and reminders — with zero hold time.
Books, reschedules, confirms, and reminds — over chat or voice — checking live availability and writing straight to the calendar.
Engages new inbound leads instantly, asks your qualifying questions, scores against ICP, and routes the hot ones to the right rep.
Runs personalized multi-channel outbound — email, LinkedIn, SMS — handles replies, and books meetings on rep calendars. Built with deliverability guardrails.
Lives in Slack or Teams and answers employee IT, HR, and ops questions from your internal docs — with cited sources.
Requests reviews at the right moment, monitors and drafts responses across platforms, and flags detractors for recovery.
One fee. Scoping to live.
No metered pricing, no per-seat license, no 'platform' you have to staff. A fixed price, and a finished agent doing the work at the end of it.
Scoping workshop
We pin the workflow, the success metric, and the exact systems the agent touches.
Design & build
Agent design, prompt/flow engineering, and the actions it takes — built to your case, not a template.
Integration
Wired into your stack — CRM, help desk, calendar, telephony, docs — so it works where your team already works.
Test & deploy
QA against real cases, guardrails and escalation paths, then a live deployment — plus 30 days of tuning.
Standard or Advanced. That's the whole menu.
Voice and HIPAA are the two things that move the price — so they move the band, not a line-item invoice.
Standard
Chat-based, up to two integrations, grounded in your existing knowledge base. The fastest path to a live agent.
Advanced
Voice, three or more integrations, custom back-end actions, or HIPAA-covered healthcare workflows. Still one flat fee — named before you commit.
The finished agent — not a platform to staff.
Agent platforms sell you software and usage-based bills you have to configure and babysit. We're the engineering firm that builds the whole thing and hands it over working. In production since 2016, 4.6★ across 18 Google reviews.
We publish a starting price when every agent shop hides it behind “book a demo.” One flat fee, the finished agent, deployed in your stack — and Managed AI Operations to keep it sharp if you want it. No meter running, no surprise invoice. Shipping it to customers who will ask for a security review? The AI Security Assessment red-teams it for prompt injection and data leakage first.
Four agents in production, with the numbers.
A support agent, five operations automations, a patient assistant and a booking agent. Each links to the full case study.
A confidence-gated AI support agent now resolves 64% of tickets autonomously, cutting support costs 62% — $217,200 saved in year one.
Five n8n + GPT-4o-mini automations cut a 4-channel ops team's manual workload from 32 to 4.5 hours/week — ~$87K in year-one impact.
A RAG patient assistant with clinical guardrails cut repetitive front-desk inquiries 62% and time-to-answer 68% in 8 weeks.
HIPAA-aware self-serve booking with two-way reminders lifted kept appointments 27% and cut no-shows 29% across 6 dental locations.
These are past engagements at the prices those clients paid, not today’s price list. For build price, monthly cost and payback side by side, see what ten client projects cost. Weighing a support agent against Intercom Fin or Zendesk AI? See where per-resolution pricing and a build cross.
Gigabit Agents, answered
Written to be quoted by the assistants your buyers ask.
What are Gigabit Agents?
A catalog of production-ready AI agents — customer support, website chat, voice, appointment booking, lead qualification, outbound, internal knowledge, and reviews. Unlike agent platforms you configure yourself, we build, integrate, and deploy the finished agent in your stack for one flat fee.
How much does an AI agent cost?
One flat, up-front fee per agent — from $8,000 for a Standard build (chat, up to two integrations, your existing knowledge base). Advanced builds (voice, three or more integrations, custom back-end actions, HIPAA) are scoped higher. We name the exact number on your scoping call; there's no metered surprise later.
What's included in the flat fee?
Everything from scoping to live: the scoping workshop, agent design and build, integration with your systems, testing and QA, deployment, team handoff, and 30 days of tuning. The fee covers the finished, working agent — not a license to configure one yourself.
Can you build more than one agent?
Yes. Most mid-market teams need two or three — for example Voiceline + Scheduler + Intake for a clinic, or Resolver + Concierge for SaaS. We bundle multi-agent builds at a combined flat fee, and Managed AI Operations keeps them all sharp after launch.
Are you a chatbot development company?
We build chatbots, but most of what we ship goes further: agents that look things up and take actions in your systems, such as checking an order, booking an appointment or updating the CRM, and hand over to a person when they should. A website chat agent (Concierge) or support agent (Resolver) starts at $8,000 as a flat fee, built, integrated and deployed.
What happens after the agent is live?
The flat fee covers build, deploy, and 30 days of tuning. After that, Managed AI Operations (from $3,000/mo) keeps it healthy — monitoring, eval regressions, model updates, and new intents — so the agent improves instead of drifting.
From the field notes
How much does an AI agent cost in 2026? A real budget breakdown
AI agent vs. chatbot: what's the difference (and which do you need)?
The production AI agent stack: what we actually deploy
What to measure in an AI agent eval suite
Calibrate an LLM-as-judge for AI agents
Rules-based automation vs. AI agents: when you need the upgrade
Not sure which agent first?
The free AI Readiness Assessment scores where you stand and points to the agent that pays back fastest — in about three minutes.