Our Agents are specialists on retainer.
They run 24/7 and ask before they act.
Not a chat window. Not a wrapper on someone else's model. A digital specialist that does one job well, 24/7 — and always checks with a human before taking any action that leaves your walls.
A specialist on retainer, not a black box.
Every enterprise worry about AI agents comes back to three questions: is it safe, is it focused, and does it actually pay back? We built the answer to each one into how Agents work.
Safe by default
Nothing leaves your walls without your approval. The Agent shows you what it's about to do and waits. You can redirect, refine, or stop it at any step.
Built for one job
Each Agent is designed to do one thing well — not answer every question. That's why they're more accurate, more predictable, and easier to trust than a general chatbot.
Real, measurable ROI
Every Agent ships with a success number we agree on up front: hours reclaimed, revenue lifted, fraud caught, tickets closed. If it doesn't hit the number, we rebuild it — on our dime.
We don't sell pre-made agents. We build yours.
The Agents below are reference examples — not a catalog. The Agent we ship to you is custom-built for your workflow, your data, and your approval rules.
Our engineers are top 1% AI practitioners in North America. Most Agents go live in 72 hours to a week, depending on scope.
- 01Scope call
30 minutes with your team and one of our engineers. You leave with a one-page spec and the success number we'll measure against.
- 02Connect the data
We get just enough access to do the job — nothing more. Read-only by default. Your security team signs off first.
- 03Build
Two to three days of focused engineering. We test against your real data, not a sandbox.
- 04Your team approves
You approve the first runs before the Agent operates on its own. The approval screen ships with it.
- 05Live and measured
Agent runs in production. Monitored daily. Measured weekly against the success number we agreed on day one.
Seven examples of what we've built.
Every one of these started as a scoped client request. Yours will look different, but the shape of the outcome will feel familiar.
Sales Co-Pilot: live research during calls
A mid-market B2B client asked us to build an agent that pulls live prospect research during the call. Company news, recent funding, exec changes, product launches overlaid on the sales rep's screen as the conversation unfolds.
It also captures objections in real time and surfaces the best rebuttal from the team's own winning calls.
Reddit Monitor: first-responder brand advantage
A D2C consumer client asked us to watch 30+ industry subreddits for mentions of their brand and closest competitors. First-hour commenters capture the bulk of thread visibility.
The agent notifies their marketing team in under 30 seconds with context, sentiment, and a draft reply the team can edit before posting.
Deep Research Agent: reports in minutes, not days
A client asked us to build an autonomous research agent that delivers results: market sizing, competitor teardowns, regulatory scans, investor memos.
It plans its own research path, runs dozens of tool calls in parallel, cites every claim, and ships a structured report your analyst can pass upstream without a rewrite.
Outreach Agent: signup and churn lifecycle
A SaaS client asked us to build an agent that watches two signals, new signups and recent churners, and drafts personalized outreach for each.
New signups get a user-interview request with calendar options. Churners get a win-back sequence with a tailored promotion.
Full drip scheduling, A/B on subject lines, and a dashboard showing lift per campaign against a held-out control.
Fraud Co-Pilot for credit unions and insurers
A credit union asked us to watch every member transaction in real time. Card swipes, ACH pulls, wire initiations, new-device logins.
The agent flags anomalies against the member's own 12-month pattern, cross-references known fraud rings, and drafts the member-outreach SMS and fraud-case file before the analyst opens the ticket.
On high-confidence cases it auto-freezes the card and waits for human approval to release.
Digital Secretary: exec-level time reclamation
An executive team asked us to build a digital secretary that handles inbox triage, calendar negotiation, meeting prep packets, follow-up drafting, and expense categorization, with approval gates on anything external.
The agent knows which threads to bubble up, which to archive, which to schedule, and which to draft a reply for.
Six reclaimed hours per exec per week, measured against their pre-deployment baseline.
SEO/GEO Agent: autonomous landing pages
A B2B SaaS client asked us for an Agent that finds high-intent queries their customers search on Google and ChatGPT, then publishes optimized landing pages for every one.
The Agent drops into the site, analyzes the existing content, scouts competitors' SEO + GEO patterns, and generates pages tuned to both traditional Google ranking and AI-search citations.
It tracks performance post-publish and iteratively rewrites the pages that aren't pulling traffic — fully autonomously, with human approval on every publish.