Custom AI Agents
Autonomous bots that handle tier-1 support, internal queries and data extraction with context-aware responses and natural language processing.
Deploy an agentWe find the repetitive tasks slowing your team down and build reliable workflows to handle them. Your people stay in control of the important decisions.
If your team spends hours copying data or chasing updates, we can connect the tools and reduce that manual work.
Autonomous bots that handle tier-1 support, internal queries and data extraction with context-aware responses and natural language processing.
Deploy an agentNever let a prospect go cold. Multi-channel drip campaigns that react to intent instead of running on a fixed calendar.
Warm the pipelineForecast pipeline health and churn risk before it happens, so the intervention lands while the account is still winnable.
See the forecastReal-time dashboards and weekly digests delivered to your team — no manual exports, no copy-paste between tools, no Monday morning fire drills.
Kill the spreadsheetWe start with the tools your team already uses and connect them where it makes sense. You don't need to rebuild everything to save time.
Four steps from a manual bottleneck to a workflow that runs itself — and keeps running while your team sleeps.
Deep dive into your operations to map repetitive bottlenecks — where the hours go and what they cost you.
Design custom AI pipelines targeting the highest-leverage workflows first, not the easiest ones.
Fine-tune models on your own proprietary data, so the output sounds like your business and not a generic assistant.
Launch, monitor and scale your new automated workforce — with a human in the loop wherever the stakes justify one.
The five things every operations lead asks us in the first call, answered honestly.
It is a piece of software that reads context, decides, and acts — rather than waiting for a person to click. In practice that means handling tier-1 support tickets, answering internal queries, pulling structured data out of messy documents, and routing what it cannot resolve to the right human with the context already attached.
The audit and architecture stages take the first few weeks — that is where we map your bottlenecks and design the pipeline. A first production workflow typically follows shortly after sign-off, and we deliberately start with one high-leverage process rather than automating everything at once. You will have exact dates in the audit document before any build begins.
The goal is to stop you hiring for repetitive work, not to remove the people already doing valuable work. Automation absorbs the data entry, the reporting and the follow-ups — roughly 40 hours a week per employee in a typical engagement — so the same headcount covers more accounts. Margin scales, headcount does not.
We build on the stack you already run. Typical engagements involve Shopify, HubSpot, OpenAI, Anthropic, Make.com and Zapier, connected to whatever else lives in your business. Nothing gets ripped out and replaced — the automation layer sits on top of the tools your team already knows.
Automated processes run near 99.8% accuracy because they do not get tired or distracted, but no system is infallible. Every workflow ships with monitoring, a clear escalation path and a human in the loop wherever the stakes justify one. You see what the agents did, and you can stop them.
Show us a task your team repeats each week. We'll tell you whether it can be automated and what the work would involve.