Custom AI Agents That Actually Do the Work
A chatbot answers a question. An agent updates the record, drafts the reply, files the document, and escalates the one case that actually needs a person. We design and build the second kind, connected directly to the tools you already use.
Answering Is Easy. Acting Is the Hard Part.
Most "AI assistants" are a chat window bolted onto a knowledge base. The work underneath still gets done by a person, later, by hand. An agent skips that step — when it's confident, it does the thing; when it isn't, it hands off cleanly instead of guessing.
It's Wired Into Your Tools
Not a standalone widget. An agent reads and writes to your CRM, helpdesk, document store or internal systems — using the access you grant it, nothing more.
It Finishes the Task
A ticket gets tagged and answered. A form gets logged and filed. A lead gets qualified and routed. The output is a completed action, not a suggestion someone still has to execute.
It Knows What It Doesn't Know
Built with clear escalation rules, not left to guess on the cases that matter. Unfamiliar, high-stakes or ambiguous input goes to a human, with the context already attached.
Agents for the Jobs That Repeat Every Day
A handful of the jobs we build agents for most often. Every one links through to what it actually does, what it needs access to, and where it should hand off to a person — see the full list on AI Agent Development.
AI Customer Support Agent
Resolve common questions from your actual documentation and escalate the rest to a human, with full context attached.
See how it works
AI Sales Agent
Engage inbound leads, ask the qualifying questions your team actually asks, and hand off ready buyers with the answers attached.
See how it works
Document Processing Agents
Read, extract and act on data from invoices, forms and other unstructured documents — filed where your team already looks for it.
See how it works
AI Workflow Automation
Complete multi-step internal tasks across your existing tools — not just answer questions about them.
See how it worksFrom Brief to Live Agent
Discovery
We map the actual task — the current steps, the tools involved, and where judgement calls need to stay with a person.
Design & Build
We design the agent's decision boundaries first, then build against your real systems — not a generic demo environment.
Integrate & Test
Connected to your actual tools, tested against real cases and edge cases before it touches a live customer or record.
Launch & Monitor
Live with logging and review in place, so you can see what it did and why — and adjust the boundaries as you learn.
Connected to Where Your Work Already Happens
An agent that can't touch your systems is just a chat window. We connect agents to your CRM, helpdesk, document storage, messaging tools and internal APIs — using the access model you're comfortable with, scoped to what the job actually needs.
If it has an API, or an interface an agent can act through safely, it's very likely connectable. Tell us what you use and we'll tell you plainly, before you commit to anything, whether it's straightforward or genuinely hard.
See Integrations
Before You Book a Call
How is this different from a chatbot?
A chatbot answers questions from a knowledge base and stops there. An agent is connected to your actual systems and takes the next step — updates a record, sends a reply, files a document — inside rules you set. See agents vs. chatbots for the full comparison.
What does it cost?
It depends on the job's complexity and how many systems it touches, not a flat per-seat fee. Ranges and what drives them are on the pricing page.
How long does a build take?
A single, well-scoped agent is typically weeks, not months — the exact figure depends on how many systems it needs to reach and how much of the decision logic is already clear. We give a real estimate after discovery, not before.
What happens when the agent isn't sure?
It escalates. Every agent we build has explicit boundaries for what it will act on alone and what it hands to a person — with the context already attached, not a blank ticket.
Do you support the agent after launch?
Yes. Systems and requirements change, and an agent that isn't maintained drifts out of date quietly. Ongoing support is part of the engagement, covered on pricing.
Tell Us What the Work Looks Like Today
Book a short call. We'll ask what the task involves now, and tell you plainly whether an agent is actually the right fix for it.