Custom AI agents for your business
We design and build custom AI agents, software that reads, decides, and acts across your tools: triaging email, qualifying leads, drafting responses, processing documents, and keeping systems in sync.
Built by automation experts, wired into the stack you already use, Zapier, Make.com, n8n, and 8,000+ apps.
Use Cases
What AI agents can do for you
AI agents take over the judgment-heavy busywork that plain automation can't: reading, deciding, and acting across your tools. Here's where they earn their keep.
Email & Inbox Triage
An agent reads every incoming message, classifies it, routes it to the right person or queue, and drafts a reply for the routine ones, so your team opens an inbox that's already sorted.
Lead Qualification & Enrichment
New leads get researched, scored, and enriched the moment they arrive. Hot leads reach sales with context attached; the rest are nurtured or filed, no more first-come-first-served triage.
Document Processing
Invoices, contracts, applications, PDFs: an agent extracts the fields that matter, validates them against your systems, and pushes clean data where it belongs.
Customer Support Drafting
Agents read the ticket, pull the customer's history, and draft an accurate response for your team to approve and send, cutting handle time without putting a bot in front of customers.
Data Sync & Reporting
Keep your CRM, project tools, and spreadsheets telling the same story. Agents reconcile records across systems, flag discrepancies, and assemble the recurring reports nobody enjoys building.
Voice Agents
AI agents that answer the phone, qualifying callers, booking appointments, and handling routine calls around the clock.
Explore AI voice agents →How It Works
How an AI agent works
An agent reads from the tools you already use, decides what to do, and acts, with a human approval step wired in front of anything high stakes.
Our Difference
Automation experts first, AI second
Our difference is that we're automation experts first: GolmTech is a Zapier Platinum Solution Partner, the highest tier in Zapier's partner program, with nearly 100 integrations published on Zapier's marketplace. We build AI agents the way we build automations: reliable, monitored, and documented.
That matters because an agent is only useful if it can actually reach your data. Ours plug into your existing stack through Zapier, Make.com, and n8n, 8,000+ apps, instead of demanding you rebuild around a science project. Deterministic workflows handle the predictable steps; the agent adds judgment where it's needed.
Learn about our Zapier consulting services →Process
How we build your AI agent
We build agents in four stages, from discovery to a monitored launch, with guardrails designed in from day one.
Discovery call
A free 30-minute session to understand your tools, workflows, and where judgment-heavy busywork is eating your team's time.
Agent design
We map exactly what the agent will read, decide, and do, including the guardrails and approval points, before anything gets built.
Build & test
We build the agent, wire it into your stack, and test it against real historical data until its decisions hold up.
Launch & refine
We ship with human-in-the-loop controls, monitor every decision, and tighten the agent's judgment as real-world cases come in.
FAQ
AI agent development FAQ
What is an AI agent, and how is it different from a chatbot?
An AI agent is software that uses a language model to read information, make decisions, and take actions across your tools, updating your CRM, sending emails, moving data. A chatbot only converses; an agent does work. A chatbot can answer "what's your refund policy?", an agent can read the refund request, look up the order in your system, draft the reply, and log the ticket without a human touching it.
What's the difference between AI agents and automation?
Automation follows deterministic rules: when X happens, do Y, every time. AI agents add judgment on top of those workflows, they read unstructured input, classify it, decide what to do, and handle cases a rigid rule would miss. The best systems combine both: deterministic workflows for the predictable steps, with an agent making the decisions that used to need a human. That's exactly how we build.
How much does AI agent development cost?
Every agent project is scoped individually, because cost depends on how many systems the agent touches, the complexity of its decisions, and how much human oversight you want built in. Book a free discovery call, we'll map what you want automated and give you a clear, fixed scope and quote before any work begins.
How do you prevent an AI agent from making mistakes?
We build human-in-the-loop approvals and guardrails into every agent. High-stakes actions, emailing a customer, changing a record, updating billing, can require a one-click human approval before they execute. We also constrain exactly what each agent is allowed to do, log every decision it makes, and test against real historical data before launch, so you see how it behaves before you trust it.
What AI models do you use?
We choose the best current model for each job rather than locking you into one vendor, that includes Claude and other leading models, matched to the task. Some steps need deep reasoning; others need speed and low cost. Because models improve constantly, we build agents so the underlying model can be swapped as better options ship, your agent gets smarter without a rebuild.
How long does it take to build an AI agent?
Timeline depends on scope. A focused single-workflow agent, say, inbox triage with human approvals, typically ships in weeks; agents that span multiple systems and decision points take longer. After the discovery call we give you a concrete timeline as part of the project scope, and we build in stages so you see working results early instead of waiting on one big launch.
Ready to put an AI agent on your team?
Book a free discovery call. We'll map where an agent makes sense in your stack, and if plain automation would do the job cheaper, we'll tell you that instead.
Book a call