Custom AI agent development for the work your team repeats
We build five families of agent. Each one owns a workflow from end to end, reports what it did, and stops at the boundary where a person should decide. Pick the one closest to your problem, or start with a custom build.
All agent types
- Operations agentsYour finance and operations team spends its week moving numbers between systems that were never designed to agree. An operations agent does that work continuously, shows you what it found, and waits for a person before it changes anything.Read about operations agents
- Sales agentsMost inbound goes cold in the gap between the form submission and the first human reply. A sales agent closes that gap: it qualifies against your criteria, enriches from sources your team already trusts, books the meeting, and gives the rep a briefing rather than a lead ID.Read about sales agents
- Research agentsSummaries are easy and mostly useless. What a research team needs is evidence: the passage, the source, the date, and an honest note when the answer is not there. Our research agents monitor continuously and produce briefs you can hand to a client without checking every line.Read about research agents
- Support agentsThe problem with support automation is not that it fails to answer. It is that it answers confidently when it should not, and then hands over a transcript instead of a case. Ours resolves what it can from your own documentation and escalates everything else with the work already done.Read about support agents
- Custom agent developmentMost of the work worth automating is specific to one company: a process built around a system nobody else uses, encoding rules that live in one person’s head. We scope that honestly, prove it on seeded data, and ship it with the same approval gates as everything else we build.Read about custom agent development
What you get from a custom AI agent development company that hands over the keys
Most agencies ship you a black box and a retainer. We do it the other way.
From the first commit, the source, the prompts, the evals and the infrastructure config live in your accounts. If we part ways, the agent keeps running. Nothing to extract, nothing to rebuy.
Here is what that looks like in practice:
- Narrow agents, not one big bot. For a recruiting operations business we built a set of agents, each with one job and an approval gate on outbound actions.
- Confidence routing. For a US financial advisory firm, the system automated onboarding steps that used to run by hand and sends anything it is unsure about to a person.
- Approval before irreversible steps. For a US DSCR lending platform, nothing is sent until a human approves it.
We will also tell you when a workflow should not be automated. That is a cheaper answer than a failed build.
See more in our work, or read how approval gates fit into every build.
Not sure which one fits?
Describe the workflow and we will tell you whether it can be automated safely, including when the answer is no.