★★★★★
"The sales agent booked more qualified meetings in week three than our two SDRs had booked in the previous quarter. We moved both SDRs into account management."
Your best people are spending their week on work that does not need a human. Ticket routing. Lead qualification. Data reconciliation. The same five emails, every day, copy-pasted between tools. We build autonomous AI agents that take that work off their plate, end to end, so your team can do the work only they can do.
No sales pitch. Most calls end with a clear yes-or-no on whether AI agents fit your operation.
You hired smart people. You are paying them well. And then you watch them spend four hours a day moving data between tabs, answering the same questions, qualifying the same leads, and chasing the same status updates.
It is not a discipline problem. It is a workflow problem. The work has outgrown the team, and hiring more people just multiplies the manual handoffs.
Traditional automation breaks the moment a request looks different from last time. AI agents do not. They read, decide, and act. Then they get sharper every week they are in production.
Most teams we talk to have tried two things already: a chatbot that could not do anything, and a workflow tool that broke the moment a request looked different from last time. Our agents are different because they live inside your real systems, make real decisions, and improve every week they are in production.
You walk us through the workflow your team hates. We find every decision, every handoff, every system involved. No diagram goes home with us until you see exactly what the agent will and will not do.
In 30 to 60 days we ship a working agent, wired into your real tools, with human-in-the-loop checkpoints on every irreversible action. You see the audit trail from day one.
An agent left alone drifts. We review every decision weekly, retrain prompts, add tools as your stack changes, and ship upgrades. You see a performance summary in your inbox every Monday.
Operators at venture-backed SaaS, mid-market finance, and growth-stage e-commerce have shipped our agents into production
Most vendors describe what their product does. Here is what happens to your operation after the agent has been in production for 90 days.
Across our last 12 deployments, the average team recovered 27 hours per week inside the first 90 days. That is the equivalent of hiring a part-time employee, except the agent does not take vacation and does not make typos.
When the agent owns the routing, the qualification, and the reconciliation, your senior people get their week back for the work that actually moves the number. One client moved two SDRs into account management and grew net-new logos 31% the next quarter.
Agent does not sleep, does not get blocked waiting for an approval, and does not lose context between systems. Tasks that used to wait on a human queue now finish in the time it takes the agent to read the relevant data.
Every decision the agent makes is logged: the data it read, the action it took, the confidence score, and the human override (if any). When the auditor asks, you have an answer. This alone justified the engagement for one of our finance clients.
Every edge case the agent encounters is reviewed, retrained, and shipped back into production. After six months in service, our average agent handles 38% more requests without escalation than it did in week one.
Most clients start with one. The ones who get the most leverage layer two or three on top, then run the whole operation as a multi-agent department.
One agent, one job, shipped into your real systems: inbox, CRM, ticketing, docs, ERPs. The fastest win. Most single agents go live in 30 days.
A team of agents that hand work off to each other. The sales agent qualifies, the research agent enriches, the writer agent drafts, the closer agent books the meeting. No human in the loop, except at the checkpoints you choose.
Agents that live inside the stack you already pay for: Slack, Salesforce, HubSpot, Notion, Google Sheets, your custom APIs. They do the glue work between systems, with audit logs and kill switches you control.
An agent left alone drifts. We monitor every decision, surface failure modes, retrain prompts, and ship upgrades weekly. You get a Monday-morning performance summary and a quarterly model upgrade.
Numbers come from the 12 deployments we have shipped into production since 2024. Sample sizes are small, so we tell you the methodology on the call.
Same agent architecture, retuned for the workflows of your industry.
Four examples from the last twelve months. Names changed where requested. Full case studies available on the call.
Book a 30-minute call. We will tell you, on the call, whether an agent is a fit for the workflow you bring us. If it is not, we will tell you who to talk to instead. Most calls end with a clear yes or no.
Book A 30-Minute CallNo sales pitch. No deck. No follow-up sequence if it is not a fit.
"The sales agent booked more qualified meetings in week three than our two SDRs had booked in the previous quarter. We moved both SDRs into account management."
"It is not a tool we use. It is a teammate we onboarded. The handoffs between agents actually work, which I did not believe was possible until I saw it."
"We replaced a 12-tab reconciliation workflow with one supervisor agent. The audit trail alone justified the engagement."
"Two months in and the agent handles things we never briefed it on. The team treats our edge cases like their own."
"I expected a smarter chatbot. I got an operations partner that shows up to every sync with its own notes and proposals."
These are the objections we hear on every call. Here is the honest answer, before you book one.
No. A chatbot answers questions. An agent reads your systems, makes a decision, and takes an action (sends the email, updates the CRM, books the meeting, files the ticket). The difference is the verb at the end. Most of our clients came to us after a chatbot vendor promised them this and never shipped it. We will show you a live agent on the first call so you can see the difference.
Every irreversible action has a human-in-the-loop checkpoint, by default. You decide which decisions the agent can make on its own (sending a first-touch email) and which need your sign-off (issuing a refund over a threshold you set). Every decision is logged with the data it read, the action it took, and the confidence score. If something goes wrong, the rollback is one click.
Engagements start at $18,000 for a single-agent deployment over a 90-day build, and scale with the number of agents and the complexity of your stack. We will give you a real number on the call once we understand the workflow. If the math does not work, we will tell you on the call and recommend someone else.
A single agent is live in 30 to 60 days, and the team starts seeing hours back inside the first week of production. A multi-agent department takes 90 to 120 days. We will give you a week-by-week plan on the call so you know exactly what you are buying and when.
That is the work. Our last 12 deployments touched 41 different tools between them, including three custom-built internal systems with no public API. If your tools have an API, a webhook, or a human logging into them, the agent can be trained to use them.
You own your data, the agent, and every decision it makes. We do not train on your data to serve other clients. We do not share it with model providers in any way you would not approve of. The full data handling agreement is in the engagement letter, and we will walk through it with your security team before any work begins.
You own the agent code, the prompts, and the data it has produced. If you want to walk away at any point, you take it with you. We are not in the business of holding your operation hostage. Most of our long-term clients stay because the agent keeps getting sharper, not because they cannot leave.
Bring us the workflow your team hates. We will tell you, on the call, what an AI employee can take off their plate and what it will cost. Most calls end with a clear decision either way.
Book A 30-Minute Call30 minutes. Real answers. No sales pitch.
The handoff problem is real. Here is how we structure supervisor agents to make it tractable, and where most teams get the architecture wrong on the first try.
Read The Note →Read/write scope, kill switches, audit trails. The unglamorous parts that decide whether your agent ships next quarter or gets shelved.
Read The Note →The rollout sequence, the failure modes we hit on the way, and what we would do differently if we ran the same engagement next quarter.
Read The Note →Book the call. Bring the workflow your team hates. We will tell you, on the call, whether an AI employee is the right fit, what it would take to build, and what it would cost. If it is not a fit, we will tell you that too.
Book A 30-Minute Call30 minutes. Real answers. No sales pitch.
We will respond within one business day with three time options for a 30-minute call. The more specific you can be about the workflow, the more useful the call will be.
Every workflow below is something we have built into production for a client. Pick one, or run a department of them together. Same architecture, same governance, same audit trail.
Don't see your workflow? Most custom agents ship in 30 to 60 days. Bring yours to the call.