Make AI agents part of the team.
An AI that only answers questions in a chat window doesn't change how work gets done. We design agents that connect safely to your real tools — GitHub, Notion, Google Drive, accounting systems — and stay with you through production.
- Connected via custom MCP servers
- Per-agent authorization
- Production on Cloud Run
Stuck at "we tried AI"?
Many teams have experimented with chat AI, yet daily work hasn't changed. The walls are usually the same.
Still copy-pasting
People relay AI output into tools by hand, because the AI isn't connected to the actual systems where work happens.
Security worries block rollout
Concerns about sending internal data to external services keep AI stuck at the trial stage.
No way to scope permissions
An AI that can do anything is scary. There's no mechanism to control what an agent may see and do.
PoCs never reach production
The demo worked, but without the know-how to run it reliably every day, it quietly fades away.
From request to done — how an agent operates.
This is the flow once your agent is live. Human checkpoints can sit in front of any action that matters.
Receive the request
Ask in plain language from Slack or your usual tools. Scheduled and event-triggered runs are supported too.
Access tools safely
The agent reaches GitHub, Notion, Google Drive, accounting tools and more through a custom MCP server — with only the minimum permissions it needs.
Do the work
Research, ticket creation, aggregation, drafting — the agent executes and summarizes what it did, transparently.
Human review
Actions with external impact or important changes wait for a person's approval. How much you delegate is tunable per task.
Report & improve
Results are reported back, and failure cases feed continuous improvement of the agent's behavior.
You don't have to start with "let AI do everything." Delegate small, then expand as trust builds.
"Safely connected" — guaranteed by implementation.
Agent adoption succeeds or fails at the connection layer. This is the architecture we actually build.
Custom MCP servers
Connections to GitHub, Notion, Google Drive, accounting tools and more, implemented as MCP servers shaped to your workflow.
Credentials stay server-side
API keys and tokens never live in the agent or the browser — they're managed centrally on the server.
Per-agent authorization
Each agent gets exactly the data it may read and the operations it may perform. Overreach is prevented by design.
Production on Cloud Run
Not a demo environment — a production setup running reliably on Google Cloud's Cloud Run.
What an engagement delivers.
Not a handover-and-goodbye — we deliver a state your team can operate.
Agents designed for your workflow
AI agents designed and implemented around the target business process.
Custom MCP servers
The connection layer to your tools — a shared foundation for every agent you add later.
Permission design & rules
What to delegate and how far, plus the review/approval flow to match.
A production environment
A Cloud Run setup that keeps running every day, monitoring and restarts included.
Operations documentation
How to change settings and handle trouble — ready to hand over internally.
Ongoing support
Post-launch tuning, and adding new tasks and agents as you grow.
Let's decide what to delegate first.
Tell us your workflow and the tools you use, and we'll propose where an agent pays off fastest. Start with a free consultation.