Custom AI Agents That Answer Every Call, Chat & Lead
We build AI agents on GPT and Claude that talk to your customers, qualify leads, book appointments, and resolve support 24/7, across voice, chat, and messaging, with a human handoff whenever it matters.
AI voice agents
Answer every call, after-hours and overflow included qualify the caller and book the appointment at a fraction of the cost of a human handled call.
You can't answer everything, all the time
Calls go to voicemail. Leads wait hours for a reply. The same questions get asked a hundred times. Customers don't wait they move on. An AI agent makes sure they never have to.
of inbound calls are routine, FAQ-level questions
the cost of a single human-handled call
of people whose call goes unanswered never call back
more likely to qualify a lead if you respond within 5 minutes
is when leads and questions keep coming but no one's there
can only hold one conversation at a time an agent holds thousands
Sources: Gartner, Aircall, and 2026 conversational AI and sales response research.
AI Agents for Every Job
Each agent is built around one clear job and connected to your real tools so it doesn't just chat, it gets work done.
Customer Support Agents
Chat and voice agents that answer FAQs, check order status, triage tickets, and resolve routine issues instantly — 24/7, with a clean handoff to your team for anything complex.
AI Voice Agents
Natural-sounding agents that answer inbound calls and place outbound ones covering after-hours and overflow, qualifying callers, and booking appointments without front-desk involvement.
Sales & SDR Agents
Respond to every inbound lead in seconds, qualify against your criteria, answer product questions, and book the demo then follow up automatically until they reply.
Appointment Setters
Agents that book, reschedule, confirm, and remind across your calendar perfect for clinics, salons, and service businesses that live and die by their schedule.
Lead Qualification Agents
Score and enrich every new lead, ask the right qualifying questions, and route hot prospects to the right person so your team only spends time on deals worth closing.
Internal Knowledge Agents
An assistant trained on your own docs, policies, and processes that answers staff questions in plain language so the answer isn't buried in a 40-page PDF anymore.
How an AI agent actually works
A real agent does more than reply. It perceives, reasons, acts, remembers, and knows when to bring in a human.
Perceive
Reads the incoming message, call, email, or signal across any channel.
Reason
GPT or Claude works out what's being asked and decides the right next step.
Act
Uses your tools looks up the CRM, checks the calendar, calls an API, sends a reply.
Remember
Holds context across the conversation and past interactions, so nothing repeats.
Guard & hand off
Stays on policy, and escalates to a human with full context when it should.
Want the actions wired into deeper back-office workflows too? See our AI automation services.
The difference customers feel
Scripted bots frustrate people. Modern AI agents understand, act, and resolve so a conversation actually goes somewhere.
Old scripted chatbot
- Follows a fixed script and decision tree
- Breaks the moment a customer goes off-script
- "Sorry, I didn't understand that"
- Can't take action only points to links
- No memory of the conversation
Modern AI agent
- Understands natural language and intent
- Handles the unexpected and the messy
- Looks things up and gives a real answer
- Takes action: books, updates, checks, routes
- Remembers context and escalates smartly
One agent, every channel
Meet customers wherever they reach out with the same context carried across all of them.
The economics are hard to argue with
AI agents answer instantly, never sleep, and cost a fraction of the human alternative while capturing the revenue you're currently letting slip away.
Sources: Gartner and 2026 conversational-AI industry research. Results vary by use case and volume.
How we build your agent
From the first use case to a tuned, monitored agent in production — built to be reliable before it's clever.
Discovery & Use Case
We pick the highest-value agent to build first, define exactly what it should handle, and set the success metrics we'll measure against.
Knowledge & Data
We gather your FAQs, docs, and policies and structure them into a knowledge base the agent can answer from accurately.
Design & Guardrails
Conversation flow, tone of voice, escalation rules, and the safety boundaries that keep the agent on-policy.
Build & Integrate
We wire the agent to GPT or Claude and connect it to your CRM, calendar, telephony, and tools so it can actually act.
Test & Tune
Adversarial testing, accuracy checks, latency tuning, and human review until it handles real conversations reliably.
Launch & Monitor
We deploy with logging and monitoring, then keep tuning the agent as real conversations reveal new things to handle.
What a support-and-booking agent does
From the customer's first message to a booked appointment here's every step the agent handles on its own.
The tech behind the agents
Leading models and a proven orchestration layer chosen for reliability, privacy, and cost, not hype.
OpenAI / GPT
Reasoning & generation
Claude
Analysis & safe writing
n8n
Agent orchestration
Voice (STT/TTS)
Natural phone calls
RAG & Vector DB
Grounded in your data
Your tools
CRM, calendar & APIs
AI agents by industry
Every sector has a front line where speed and availability win or lose the customer. That's where we put the agent.
Local Service Businesses
A voice agent answers and books appointments while you're out on the job.
E-commerce & DTC
A support agent handles 'where's my order', returns, and product questions 24/7.
Real Estate
An agent qualifies portal leads in seconds and books viewings before they go cold.
Agencies & Pro Services
An intake agent answers prospect questions and schedules discovery calls automatically.
Clinics & Healthcare
An appointment setter and intake agent on private, self-hosted infrastructure.
SaaS & Startups
An in-app support and onboarding agent that scales with your user base.
Agents that work in the real world
Reliable first, clever second and always connected to the tools and people behind them.
Built on GPT & Claude
Real language understanding, not a rigid script agents that handle the unexpected.
Human-in-the-loop by design
The agent knows its limits and hands off to your team with full context. No dead ends.
Connected to your real tools
CRM, calendar, telephony, helpdesk the agent acts inside your systems, not beside them.
Private and yours to keep
Self-hostable orchestration, encrypted credentials, and full ownership of the agent and its data.
Built to grow revenue
We're a marketing agency first our agents capture leads and book sales, not just cut costs.
What Happens When the Agent Picks Up
Our voice agent answers every call now, even when we're on a job. It books the appointment and texts the customer. We haven't missed a lead in months.
The support agent resolves most of our 'where's my order' and returns questions instantly, 24/7. Our inbox dropped by more than half.
Inbound leads get a reply in seconds instead of hours. The agent qualifies them and books the demo before we'd even have seen the email.
It hands off to us with the whole conversation attached, so we pick up exactly where the agent left off. Customers can't tell where the seam is.
AI Agents, Answered
Everything you need to know before booking your consultation.
What is an AI agent, and how is it different from a chatbot?
An old chatbot follows a script it answers questions you predicted and breaks the moment a customer goes off-track. An AI agent understands natural language, decides what to do, and takes real action: it looks up an order, books an appointment, updates your CRM, or escalates to a human with full context. Built on models like GPT and Claude, it handles the messy, unscripted reality of real conversations instead of a fixed decision tree.
What kinds of AI agents do you build?
The most requested are customer support agents (chat and voice), AI voice agents that answer and make phone calls, sales and SDR agents that respond to leads instantly, appointment setters for booking and reminders, lead-qualification agents, and internal knowledge agents trained on your own documents. We start from the problem you want solved, not a one-size-fits-all template.
Can the agent handle phone calls, not just chat?
Yes. Voice agents answer inbound calls and place outbound ones using natural-sounding speech, with sub-second response times. They can field after-hours and overflow calls, qualify leads, book appointments, and route complex cases to a human — at roughly $0.40 per call versus $7–$12 for a human-handled one.
How much does an AI agent cost?
Building a custom agent from scratch at an enterprise dev shop can run $40,000–$400,000. Because we build on proven platforms (n8n plus GPT and Claude) rather than training models from zero, most SMB agents are a modest one-time build or a monthly retainer in the $500–$5,000 range, plus per-interaction usage of roughly $0.15–$0.50. Every project starts with a free consultation so you see the numbers first.
How long until it's live?
Weeks, not months. A focused agent say, a support-and-booking agent for your website is typically live within two to four weeks once we have your FAQs, policies, and tool access. Bigger multi-channel deployments ship in stages.
Will it make things up? How do you keep it accurate?
We ground the agent in your own knowledge your docs, policies, and CRM data so it answers from facts, not guesses (a technique called retrieval augmented generation). We add guardrails that keep it on-policy, and for anything outside its scope it says so and hands off to a human rather than inventing an answer. Before launch we run adversarial testing to catch edge cases.
What happens when the agent can't handle something?
It escalates to a human and hands over the full conversation context, so your team member never has to ask the customer to repeat themselves. You decide the escalation rules: certain topics, sentiment changes, or explicit requests for a person can all trigger a handoff.
Is my customer data safe?
Yes. We follow least-privilege access, encrypt credentials, and for sensitive work can run the agent's orchestration on self-hosted n8n so your data stays on your own infrastructure. For voice, we handle AI disclosure, consent capture, and recording compliance. You own the agent and its knowledge base.
Which channels and tools can it work with?
Web chat, voice/phone, email, SMS, WhatsApp, and in-app or Slack. It connects to your CRM (HubSpot, Pipedrive, GoHighLevel, Salesforce), calendar, helpdesk, and store, plus anything with an API — so the agent doesn't just talk, it acts inside your real systems.