Autonomous agents for revenue teams: outbound, marketing ops, personalization, and internal tools that run inside your stack around the clock. We build, test, and govern every agent with humans in the loop, then measure it against pipeline. Most agencies advise on AI. We put it into production.
Most "AI agents" are rule-based scripts dressed up in better marketing. A real agent reasons toward a goal, picks its own next step, and knows when to stop and ask a human. We build one only when the work is genuinely unpredictable, and we keep a person on the trigger for anything that touches a customer or a budget.
Pipeline at machine volume, personalized enough to actually get replies.
Agents research target accounts, read live buying signals, and write outbound personalized to each contact, booking meetings your reps close. A human approves every message before it sends, so you scale volume while your sender reputation stays intact.
Campaigns watched around the clock, experiences tuned to every visitor.
Agents catch spend drift or a broken pixel the moment it happens, rebalance budgets toward what is working, and have reporting ready before standup. On site, offers adapt to each visitor in real time, tested in multivariate experiments and attributed to revenue.
Internal tools on your data, your stack stitched so copy-paste work ends.
Claude- and GPT-powered proposal writers, research copilots, and knowledge assistants run on your data with scoped access, so answers stay grounded in your numbers. Your CRM, ad platforms, email, billing, and warehouse connect into workflows that keep records in sync.
Guardrails, monitoring, and approval gates on every agent we ship.
Every agent ships with an evaluation suite that scores output against real examples before it touches production. High-stakes actions pass through human approval gates, live monitoring flags drift the moment it appears, and every action is logged and auditable.
We map every manual workflow across your revenue team, put a number on the hours lost and the revenue leaking through the cracks, and rank each one by return. You get an automation plan that names exactly which work agents should own, and in what order, before we build anything.
Each agent gets hired like a person: a named job, scoped access to only the data it needs, a clear escalation path, and one success metric tied to pipeline. We deliberately choose the simplest thing that works, a plain workflow, a direct model call, or a full reasoning agent, so nothing is over-built. No do-everything bots, just experts scoped to a single outcome.
Agents ship into the tools you already run, your CRM, ad platforms, warehouse, and Slack, rather than some new dashboard to babysit. Each one is wired in and tested against its evaluation suite before it touches a real customer or a real budget. The highest-return workflow goes live first, so value shows up in weeks.
Human approval gates sit on every high-stakes action, evaluation suites score output continuously, and reporting reconciles what the agents did back to pipeline and revenue. When an agent starts to drift, the monitoring tells us before it tells you. Guardrails are built in from the very first day.
Every workflow is documented and every operator on your team is trained, and we keep both the documentation and the training current as the agents evolve. Keep us on to run and grow the roster, or operate it yourself. Either way you own the agents, the data, and the playbook.
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