AI skills & agents that automate the work — not just the demo.
Your team loses real hours to repetitive work an AI agent could carry. We build the skills, agents, loops, and custom apps that automate those multi-step business processes end to end, inside the tools you already run — one connected system on shared context, and you own all of it, not a scatter of point-bots.
One orchestrated systemConnected to your stackYours to own
Why this matters now.
Most AI automation ends up as theatre — impressive in a meeting, or scattered across the team, but never the way work actually gets done. Three ways it goes sideways:
Manual repetition
Your people spend real hours on work an agent could carry — if it were built into the workflow.
Pilots that stall
A great demo that never reaches daily use. It has to be built for production, not the stage.
Scattered point-bots
Random tabs, scripts, and plugins that don’t talk to each other — unmanaged, and forgotten.
One orchestrated system — not scattered bots.
Each skill and agent we build shares one context layer — your processes, standards, and data — so the tenth automation compounds on the nine before it instead of starting from zero. Everything is scoped, observable, and stoppable: you see what ran and why, and you can pause any of it in one place. That’s the difference between an automation system and a drawer full of bots.
AI agents that run real business processes — not demos. We build skills, agents, and loops that automate multi-step business processes end to end, inside the tools you already own — not a chatbot bolted on the side.
Random ChatGPT tabsA one-off scriptA browser pluginA spreadsheet macroA point-tool botAnother subscription
One orchestrated systemConnected to your tools & data — and you own it
On your shared context
Proposal agentInbox triageReport builderData sync
A pile of disconnected bots, or one orchestrated system on your shared context — connected, compounding, owned.
How it works: map the real process end to end → build the skills & agents on tools you own → integrate & embed → measure it runs. Scoped per project, tested against your real inputs.
What you actually get — and keep:
Workflows automated
The work, not the demo
Your high-value, repetitive processes handed to agents your people direct — built for daily use, not the stage.
Custom skills & agents
Built around your processes
Named skills and agents for the jobs that matter — orchestrated on your shared context, not scattered one-offs.
Custom apps
When off-the-shelf can’t
When a workflow needs its own interface, we build the custom AI app for the work tools can’t do — on a platform you own.
Integrated & owned
Into your stack, yours to keep
Connected to the tools you already run, so automation spans the real end-to-end process — and the logic is yours.
You own the whole system — the skills, agents, apps, and logic — no black box, no lock-in. Built on Claude, pragmatic across your stack; the data your workflows touch stays yours. How we build it →
À la carte, this is the build layer for a scoped need. It’s also the skills & agents that run on CompanyOS — the system the whole company runs on.
We run our own firm on exactly this.
This isn’t theory — bosio runs on a stack of custom skills and agents we built on our own shared context: drafting, research, ops, publishing. We don’t demo automation; we operate on it every day, which is how we know what actually survives contact with real work.
Founder-led by Sascha & Laura — backed by a network of vetted senior specialists.
Questions we get asked.
How is this different from a demo or pilot?
We build for production and daily use, integrated into your real stack and tested against your actual inputs — not a sandbox proof-of-concept that breaks on contact with reality.
Isn’t this just a bunch of bots?
The opposite. Scattered point-bots don’t talk to each other and get abandoned. We build skills and agents that run on one shared context, connected to your tools — orchestrated and compounding, not a pile of one-offs.
Do we own what you build — including custom apps?
Yes — the workflows, agents, custom apps, and logic are yours to keep and run. No black box, no lock-in.
What does it cost?
Scoped per project, based on the processes you want to automate — or part of an org-wide CompanyOS build. A straight number after a short call.
Which platform do you use?
Claude-native — strongest where judgment matters — but pragmatic across your stack. You own everything we build. How we build it →
Can AI agents automate multi-step business processes across our existing tools?
Yes — that's specifically what we build: agents that carry a process end-to-end across your CRM, docs, comms, and internal systems, connected through native integrations, your APIs, and MCP. The difference from point-bots is one orchestrated system on shared context, so each step knows what the last one did. Where a clean connection doesn't exist, we say so up front.
What is AI agent sprawl — and how do we avoid it?
AI agent sprawl is what happens when teams adopt disconnected bots faster than anyone governs them: overlapping tools, no shared context, no audit trail, and no one who can say what's running. You avoid it with architecture — one orchestrated system, scoped permissions, and observability — rather than a ban. We build agent systems governed from day one, so scale doesn't become sprawl.
What ROI should we expect from AI agents?
Honest answer: it depends on your maturity stage, and anyone quoting a universal number is selling. Early-stage companies see ROI in reclaimed hours on multi-step admin work; mature ones see it in cycle time and capacity. We baseline the process before we automate it, so the return is measured against your numbers — not a vendor benchmark.
How do you keep AI agents safe and under control?
Every agent we build is scoped, observable, and stoppable. It acts only within rules you set, logs what it does, and keeps a human in the loop wherever the outcome carries real weight. Bounded agents doing defined jobs — not a free-roaming robot loose in your systems.
AGENTS
Sascha Bosio2026 · 20 min read→
TRUST
GOVERNANCE
WORKFLOWS
