AI agents you can actually trust with your inbox
An agent is an employee you configure. The model is the easy part — the real work is the guardrails and the handoffs: what it's allowed to do alone, what it drafts for approval, and when it hands off to a human.
AI agents are software workers that handle a defined job — answering a shared inbox, compiling a report, looking up answers in your documents — inside explicit guardrails: approval gates for sensitive actions, audit logs of everything done, and escalation to a human when they're out of depth. Typical build time with us is 2–8 weeks depending on how much the agent is trusted to do alone.
What we actually build
Most agent work falls into three shapes, plus the guardrail layer that makes all of them safe to run:
- Email agents. Named agent personas that answer role inboxes — hello@, billing@, support@ — with routing, escalation detection, and a full audit log. Routine questions get answered in minutes instead of days; anything sensitive — refunds, complaints, legal-sounding language — gets drafted and held for a human to approve before it sends. We run these on our own inboxes, which is the fastest way to learn what breaks.
- Internal tools and dashboards. The small custom apps your team keeps wishing existed — a quote builder, a client status page, a one-screen view of numbers currently spread across four tabs. Built in weeks, shaped exactly to your workflow, no per-seat license.
- Document and knowledge Q&A. A system that answers questions from your own material — contracts, SOPs, past proposals, product docs — and cites where each answer came from. When it doesn't know, it says so. It never fills gaps with plausible-sounding fiction.
- Guardrails, on everything. Approval gates before sensitive actions. Audit logs of every message read and reply sent. Escalation rules that hand the conversation to a human the moment it exceeds the agent's brief. This is where most of the engineering time goes, and it's why the systems stay in production.
How it works
We treat an agent rollout like a new hire. First we write the job description: exactly what it handles, what it escalates, what it must never do. Then it starts in draft-only mode — every reply reviewed by a human before sending. Only after it earns a track record on the low-stakes work does anything go out unsupervised, and the sensitive categories keep their approval gate permanently.
Everything runs in your accounts on your data. You can read the full log of what the agent did and why, any day, without asking us.
Common questions
What stops the agent from making things up to a customer?
Three layers. It only answers from approved source material and cites what it used. Questions outside that material get escalated to a human, not improvised. And sensitive replies are held for approval before sending — so the highest-stakes messages always pass through a person.
Do customers know they're talking to an AI?
That's your call, and we'll give you a straight recommendation: disclose. Agents that identify themselves and escalate gracefully build more trust than ones caught pretending. Either way, the handoff to a human is designed in from day one, not bolted on.
How long until an agent is handling real email?
Drafting within 2–3 weeks; sending routine replies unsupervised usually takes 4–8, because the supervised period is where trust gets earned. Anyone promising a fully autonomous inbox in a week is skipping the part that keeps you out of trouble.
Want this working in your business?
A 30-minute call is enough to tell you whether this is a fit. No deck, no pressure.
Book a discovery call →