Service
Agent Deployment
Hermes Agent, or the open-source runtime that fits, installed on your infrastructure and connected to your tools. An AI colleague for your team, under your rules.
- Engagement
- Fixed scope, then optional retained advisory
- Typical duration
- Pilot in 2 to 4 weeks, rollout scoped from the pilot
- Ideal for
- Teams of 5 to 200 people who want one capable agent for daily work without handing their data to another platform.
Problems it solves
Sound familiar?
- Your team already uses AI on personal accounts, pasting company data into someone else's product.
- The SaaS assistant cannot see your calendar, your tickets or your files, so it answers in generalities.
- Every "AI agent" demo needs your data in a vendor's cloud and a contract your legal team will not sign.
- Someone set up an agent on a laptop. It worked, until that person went on holiday.
Outcomes
What changes
-
An agent your team reaches from Slack, WhatsApp, Telegram, Discord, Signal or email, running on infrastructure you control.
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Connected to the tools that matter, calendar, mail, documents, ticketing, internal APIs, with each connection scoped and logged.
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Memory and skills that make it better at your work every week, stored with you and not with a vendor.
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Model choice per task through a gateway you own. Switch providers without rebuilding anything.
Deliverables
What you receive
- Agent runtime (Hermes Agent by default) deployed as code on your cloud account or server, with backups and updates scripted
- Channel and tool integrations with per-tool permissions, approval steps and audit logging
- Model gateway with keys held server-side, spend caps and per-team usage reporting
- Operating guide, team onboarding session and a 30-day tuning period
How it works
How the engagement works
I run open-source agents on my own infrastructure every day. I know what they are good at, where they break, and what it takes to keep one useful for a team instead of impressive in a demo.
The deployment starts small: one team, one channel, the three tools they use most. The agent runs on your cloud account or on a small server you own. Keys, memory and logs stay with you. Each new tool it gets is a scoped credential with a log line, not a blanket login, and anything that sends, shares or spends goes through an approval step until you decide otherwise.
By the end of the pilot your team has a colleague that drafts, searches, summarizes and executes routine work on request, and you have the numbers to decide how far to roll it out.
Related work
Where this engagement has been applied
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0 client documents in personal AI accounts after rollout
Deployed a Hermes Agent on the firm's own cloud tenant, connected to mail, calendar and documents with per-person access, replacing personal chatbot accounts and taking recurring drafting and research work off the partners' desks.
Next step
Start with Agent Deployment.
Send a few lines about your setup and what is failing. I reply with the questions I need answered before we scope, and a slot for a first call.