A Fractional Chief AI Officer is in charge of seeing where AI can be implemented in your business, and owning it end to end.
Not a project. Not advice from the sidelines. An operating function.
They diagnose, recommend, and leave. Execution is your problem. Six months later the deck is a PDF nobody opens.
They ship something and hand over the keys. When it breaks, drifts, or your process changes, you're back in the sales queue.
C-suite ownership of AI, a few days a month. We build the system, run it, measure it, and keep improving it, tied to outcomes.
Software that does a job, not just answers a question. Every agent we build has the same anatomy:
An email arrives. A form is filled. A date hits. The agent wakes up on its own.
Your rules, your tone, your approval limits. It behaves the way you decided.
Your inbox, CRM, spreadsheets, calendar. It works inside the stack you already have.
Sends, updates, files, follows up, and escalates to a human when it's not sure.
Defined parameters, predictable steps. An agent runs them reliably, around the clock, at low cost. This is where automation shines.
Agents can reason through these too. They just demand more computational power, so they cost a little more to run.
Teams spend deal time on repetitive manual work.
Deals stall because follow-ups depend on memory.
Pipeline data scattered across disconnected platforms.
Pilots and projects with nobody accountable for results.
The more steps between "customer shows up" and "job done", the more there is to recover.
A telltale sign: industries that rely on email to manage each step of their customers. Quotes, confirmations, follow-ups, status updates. That inbox is the operation, and it can run itself.
Data entry, status chasing, standard replies, reminders, report assembly. The work nobody was hired to do, but everybody ends up doing.
Closing deals, handling exceptions, earning trust. Agents escalate anything uncertain to a person, with the context already gathered.
The honest math: your best people get 15 hours a week back. What they do with it is the actual ROI.
Find the leaks. Map where the hours actually go.
Prioritize by return: what to automate first.
Agents built and wired into your existing stack.
We operate, measure, and keep improving it.
Something happens in your business. From that moment, the workflow moves on its own.
A COI request lands in the inbox. The agent reads it, generates the certificate, and replies in minutes, not days.
Tracks every policy's renewal window and runs the outreach sequence so no renewal sneaks up on you or the client.
Intakes change requests, collects what's missing, preps the endorsement, and keeps the client posted until it's done.
Calculates every rep's commissions from raw sales data. No end-of-month spreadsheet marathon.
Assembles and sends each partner's performance report automatically, on schedule.
Walks every new rep through the same sequence: docs, training, first-week checkpoints.
Watches every loan file, chases missing documents, and keeps borrower and lender in sync.
Same borrower, same five documents. The only difference is who's watching the file.
Stock dips below the line and the reorder workflow starts: supplier email drafted, team alerted.
Field machinery usage and maintenance windows, tracked and scheduled without a spreadsheet.
Which machine is on which construction site, updated as they move. No more radio roulette.
A machine fails, the report writes itself, and the right technician gets dispatched.
Agents plug into your existing stack. Nothing to migrate, nothing to relearn, no "new system" your team will quietly ignore.
Probably. Tell us what it is and what tools it touches. We'll tell you honestly if an agent fits, what it would look like, and what it would save.
"Every Monday I copy orders into a sheet and email three suppliers…"
Automatable or not, sweet spot or edge case, and what we'd build first.