You're here if most work still waits to be asked
Your company's knowledge feeds a shared brain your people use every day, and at least one critical workflow already runs on agents. Everywhere else, work still starts with someone opening a chat and typing a prompt. There, the brain answers questions and never starts anything.
The working session confirms where you are. If this is you, you skip step 1.
What changes when the brain drives the work
| AI-enabled | AI-native | |
|---|---|---|
| Who starts the work | A person, with a prompt | Agents, on triggers, schedules and loops |
| The brain's role | Something people consult | The engine that drives the work |
| Your people | Do the work, with AI helping | Make the calls that need a person, and set what agents may approve |
| How it's counted | Daily AI use | Critical workflows run by agents, one by one |
What we do in step 2
- Rebuild your workflows around the brain. We redesign the work for people and agents together, rather than bolting automation onto the old process.
- Agents pick up work from triggers, schedules and loops, with no prompt needed. They work as coworkers, doing much of the work and escalating to your people based on your policies.
- Approval points you set. Your people decide where it matters, and set what agents may approve everywhere else.
- Spend caps, a kill switch and every action logged, on every workflow.
Step 1 got one workflow running on its own. Step 2 does the same for the workflows your business depends on.
People stay accountable at the gates that matter
Some approvals belong with a person. Others can go to an agent that an accountable person has permissioned. Before anything runs, we agree which is which and who is accountable for each decision. We also say plainly what the AI controls and what it only observes.
Building AI-native products too?
Some companies need their products to be AI-native as well, so customers' own AI agents can use them directly. We're doing this now with a design partner, a direct-to-consumer health company, making the company AI-native and its products agent-ready at the same time.
If product is where the pressure is, a fractional CPTO or CTO can own it.
After the engagement
Capability should compound. We build it so you can own it, and we operate it for as long as that's useful. Your team learns to manage what we installed and can keep improving it. By default we run the system and your brain as a managed service; if you'd rather run it yourself, self-hosted is available. Managed by default, portable by design: you're never locked in.
Who this isn't for
- Companies that don't yet run a critical workflow on agents. They start at step 1.
- Companies that want agents acting with no person accountable.
We run our own company this way
Station runs Splice every day, including our software factory, our company brain, and agents that research and qualify our prospects. See our work
Questions before step 2
Who's accountable when the AI gets it wrong?
A person on your side. There's an accountable person behind every decision that matters, and agents can handle some approvals that person has permissioned. Before anything runs, we agree who is accountable and what each agent may approve.
Won't this just raise our AI bill?
It shouldn't. Any vendor can raise your usage. We design for value that grows faster than your AI bill.
Can we use our own agents?
Yes. No vendor lock-in: bring your own agents or use ours, and swap them whenever you want.
What does it cost?
Talk to us. We scope the work with you during the working session, which is credited in full if you go on to work with us.