An Agent is a specialist on retainer.
It runs 24/7 and asks before it acts.
Not a chat window. Not a wrapper on a public model. A purpose-built operator that watches one job, does one job, and hands the result back to a human for approval before anything external happens.
A retainer specialist, not a black box.
Every enterprise objection to AI agents resolves to one of three concerns: safety, scope, and ROI. We designed the answer into the architecture.
Safe by default
No external action is ever taken without explicit human approval. The agent shows what it's about to do, the exact payload, and waits. Redirect, refine, or reject at any step.
Purpose-built
Each agent is scoped to a single job, not a general chatbot. Narrower scope means higher accuracy and predictable failure modes.
Measurable ROI
Every agent ships with a pre-agreed success metric: hours reclaimed, revenue lifted, fraud caught, tickets deflected. If the number doesn't show, we rebuild it.
We don't sell pre-made agents. We build yours.
We keep a small roster of reference agents so you can see the shape of what's possible. The agent you deploy is the one we build for your organization, your data, your systems, and your approval policy.
Our engineers come from the top 1% of AI practitioners in North America. Average turnaround from first call to production-deployed custom agent: 72 hours to 1 week, depending on scope.
- 01Scope call
One session with your team + one of our engineers. Exit with a one-page agent spec and a success metric.
- 02Data access
Least-privilege credentials to the systems the agent needs. Nothing else. Read-only by default.
- 03Build
48–72 hours of focused engineering. We test against your real data, not a sandbox.
- 04Human-in-the-loop review
You approve the first N runs before the agent runs unattended. Approval UI ships with it.
- 05Deploy
Production-deployed. Monitored. Measured against the success metric agreed on day one.
Six 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.
Our engineers are the top 1%. Turnaround is 72 hours to a week.
The six above are starting points, not a catalog. If your team can describe the job in a one-page spec, we can ship the agent. If the first deployment doesn't hit the success metric we agreed on, we rebuild it on our time.