HummingAgent designs and builds AI agents that do a defined job inside your operations: they read, look up, decide within your rules, act in your systems, and hand off to a person when they should. You own what we build.
TMC 2025 AI Agent Product of the Year. Offices in Denver and Dallas, clients across the US.
A custom AI agent is software, built around one of your workflows, that uses a language model to carry out the job rather than just answer questions about it. It connects to the tools you already use, follows the business rules you set, has clear limits on what it may do on its own, and escalates to your team on the cases you choose. It is custom AI development, not a chatbot template.
Pick one workflow. Map the systems, data boundaries, escalation rules, and the business case.
Design the agent, its prompts, tools and guardrails, and test it against real cases from your business.
Connect it to your CRM, phone, calendar, documents or back office so it works where the job happens.
Run it with monitoring and a human in the loop, then widen what it handles as it earns trust.
Two agents running for clients today. Each one started with a single workflow.
A fence company in Massachusetts and Rhode Island since 1974. Calls go straight to the AI phone agent, day or night. It routes each job to the right salesperson across 86 towns and books the appointment in a CRM we built to replace a desktop CRM more than 20 years old.
Scheduling an appointment went from 10 to 15 minutes to under 3 minutes.
Read the Colonial Fence case studyA managed IT services provider. We built a private GPT workspace with memory across clients and projects, access to GPT, Claude and other models in one place, and company data kept private.
“We needed an AI platform that understood our business, remembered our clients, and kept our data private. Private GPT delivered exactly that.” K3 Technology
Read the K3 Technology case studyChoosing a partner? Read what an AI automation agency does and what to ask one, or compare custom AI with off-the-shelf tools.
Start with the workflow. Then decide which agent role, integrations, and escalation rules are worth building.
Practical capabilities tied to workflows, systems, and handoffs
Handle inquiries, schedule appointments, and respond to messages across all channels 24/7.
Track tasks, send reminders, coordinate teams, and keep projects moving forward.
Automate repetitive workflows, data entry, reporting, and routine business operations.
See exactly what we build, and put each one to work in your business.
AI software and internal tools built to order around your data and systems, and owned by you.
Learn more →Operations and back-office workflows automated end to end, with human checkpoints where they belong.
Learn more →A secure internal AI assistant over your own documents, under your access controls.
Learn more →Reads invoices, codes them, flags overpayments, and posts to QuickBooks or NetSuite.
Learn more →Revives cold quotes and leads by text and email, in your voice, until they answer.
Learn more →Strategy, opportunity audits, and custom build for larger organizations.
Learn more →Answers, qualifies, quotes, and books jobs 24/7 for home-service businesses.
Learn more →Setup and monthly pricing ranges for AI agents, automation, and Private GPT.
Learn more →Buyer’s guide: what to expect, what to ask, and the red flags.
Learn more →A custom AI agent is software that uses a large language model to carry out a defined job inside your business: reading messages, looking things up in your systems, making decisions within rules you set, taking actions such as booking, routing or updating records, and handing off to a person when it should. Unlike a chat assistant, it is built around one of your workflows and connected to the tools you already use.
ChatGPT answers questions for whoever is typing. A custom agent runs the workflow itself: it has access to your data and systems, follows your business rules, has defined limits on what it may do on its own, and escalates to your team on the cases you choose. It is also built so that it fits the way your business already operates rather than a generic template.
Custom AI agent development is done by AI agencies and consultancies that design the agent around your workflow, connect it to your systems, and hand it over to you. HummingAgent is one of them, with offices in Denver and Dallas. Colonial Fence runs a phone agent and CRM we built, and K3 Technology runs a private AI workspace we built. Both are written up as case studies.
Ask to see agents the company has built and that are still running for a real client. Ask who owns the code and prompts after launch, how the agent hands off to a person, and how it is tested before it runs on its own. Our guide to AI automation agencies lists the questions to ask and the red flags.
It depends on the workflow, the systems it has to connect to, and how much of the job it takes on. Every engagement starts with a scoped estimate for the one workflow you want to delegate. See our pricing guide for the ranges we work in, or book a discovery call for a number specific to you.
Most agents go from discovery to launch in weeks, not months. The length is driven by how many systems the agent has to integrate with and how much testing the workflow needs before it runs without supervision.
You do. HummingAgent builds the agent in your environment or hands over the code, prompts, and integrations. You are not locked into our platform or a single AI vendor, and we stay available for support and monitoring if you want it.
Yes. HummingAgent has offices in Greenwood Village, Colorado and Dallas, Texas, and works with businesses across the United States. Discovery, build and launch are all done remotely when that is easier for you.
Bring the workflow you want to delegate. We will map the systems, data boundaries, escalation rules, and business case before build.