An AI coworker.
Not a chatbot.
Walk us through what one of your people actually does all day. We build the agent that handles it, runs alongside the team, and frees the person up for the work only they can do.
Discovery-first · Built against your real systems · Live in the quarter · Client-owned code
Patterns
Where an agent usually earns its seat
After enough discovery calls, these are the seams where an AI coworker pays for itself. Your team's answer might be one of them, all of them, or none. We figure that out on the call.
Time savings
Your best people lose their day to inbox, CRM upkeep, research, and document review. An agent takes that coordination layer so operators return to strategy, relationships, and the calls that actually compound value.
Workflow compression
A deal review that took a junior two days collapses to four minutes. Multi-step ops loops that ran weekly become real-time.
Margin unlock
We target specific EBITDA drains in the portco: customer ops, deal admin, back-office reconciliation. We build the agent that removes them.
100-day plan execution
Post-close, time matters. We scope to fit the VCP sprint: an AI coworker in production before the next board, measurable from day one.
Plugs into what the portco already runs
Agents connect to Gmail, Outlook, HubSpot, Salesforce, Pipedrive, Drive, SharePoint, Slack, Telegram. Whatever the team lives in today. No stack migration, no replatform.
Code ownership
Every agent runs in its own isolated environment, scoped to one customer. Your credentials, your data, your pipeline, never shared, never seen by us, never trained on.
Live example
What this looks like in production
Drake is one we built for ourselves — a deal operator for search funds and lower-middle-market PE. He owns the broker graph, reads every CIM against the buybox, drafts the IOI, and walks the partner into every morning with a clean call sheet. A useful answer to: what does an agent for a specific role actually look like when it’s live?
The deal-ops role, as an agent.
We started with a role we knew cold and built the agent that does it. Drake works the broker graph, reads every inbound CIM against the buybox, drafts the first-pass IOI, and every morning the partner walks in to a brief on what moved, which brokers are cooling off, and which two or three conversations actually need a human call today. Single tenant, isolated per firm, data never leaves the customer.
- CIM read time
- < 2 min
- Broker graph
- Off-hours
- Data locality
- 100%
Why us
An unusual stack for this work
Operator background, production engineering, and PE fluency in one shop. That combination is rare on purpose.
We listen first
The first call is 20 minutes of you walking us through what a role on your team actually does day to day. Half the time what we hear reshapes the proposed scope. We'd rather understand the job than pitch a product.
We ship code, not decks
Production-grade systems, live in operator hands, measured against the business. If you want a slide deck about the future of AI, hire a consultancy. If you want an agent live inside your portco next quarter, hire us.
We speak PE
Value creation plans. 100-day plans. EBITDA bridges. Dollar-weighted uplift tracked to basis points. Your IC understands what we're shipping because we scope in your language.
You own it
Source code delivered at the end of the engagement, with runbooks. No lock-in. If we part ways, the portco's agent keeps working.
How we work
Hire an AI coworker.
Same shape every engagement. Scoped to the portco's operating cadence, not ours.
Discovery
Walk us through the role. What does this person do all day? Where does their time actually go? We sit inside the inbox, CRM, documents, and meetings that run the job, and scope the agent that handles the repetitive surface so the person works higher up the stack. Sometimes the honest answer is that an agent isn't the right move yet; when it isn't, we say so.
Build
Agent developed against the portco's real systems. Regular demos. Operator feedback loop. You see the agent doing the job in staging before it ever touches production.
Go live
Agent goes live in a single-tenant environment owned by the portco. Source code handed over with runbooks and a control channel (Slack or Telegram). Credentials and data stay inside the firm. No vendor lock-in, ever.
Start a build
Describe the role.
We'll tell you if it's an agent.
20-minute discovery call. Walk us through what a role on your team actually does: the day-to-day work, the stuck points, where the time goes. We tell you where an agent earns its seat, where it doesn't, and whether it's this quarter's play or a later one. Sometimes the honest answer is: not yet.
We prefer to hear the role before we send a deck.