Services
Six engagements. One standard.
Start with an assessment or go straight to a deployment. Every engagement is scoped in writing and handed over with the documentation to run it without me.
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AI Readiness Assessment
Where AI pays off in your company, where it will hurt, and what to build first. Two to three weeks, one written plan you can execute with me or without me.
Ideal for: Companies of 20 to 2,000 people that want to use AI seriously and need to know where to start without betting the year on a guess.
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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.
Ideal for: Teams of 5 to 200 people who want one capable agent for daily work without handing their data to another platform.
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Agent Workflows
Ticket triage, document intake, reporting, ops routines. Repetitive work handed to agents, with a person approving where it counts. Measured, not promised.
Ideal for: Operations, support, finance and engineering teams with high-volume repetitive work and a clear owner for it.
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Private AI Platform
Models, gateway and retrieval on your cloud. Your documents answer questions with the access rules they already have. Every call logged, every cost traced to a team.
Ideal for: Companies with data that cannot leave, several teams building on AI, or a first AI product heading for production.
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AI Security and Governance
Agents get identities, permissions, logs and limits like any other user. LGPD, GDPR, ISO 42001 and NIST AI RMF turned into controls that run, not binders that sit.
Ideal for: Companies putting agents near customer data, regulated sectors, and anyone whose next audit will include a question about AI.
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Cloud and Security Foundations
The platform underneath the AI. Landing zones, identity, CI/CD with security gates, compliance as code, and rescue for estates that grew by accident.
Ideal for: Teams shipping their first serious workload, teams inheriting an estate they did not build, and companies whose AI plans need a foundation that will pass an audit.
Engagement models
Three ways to pay for the work.
Every model comes with a written scope and a price you see before anything starts.
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Fixed scope
Defined deliverables, defined price, defined timeline. You know what you get and what it costs before we start.
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Time and materials
For work that needs to evolve as we learn. Weekly reporting on hours, progress and what changed.
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Retained advisory
A monthly slot with a senior architect. Reviews, decisions, incident support and someone to call before it breaks.
Next step
Not sure which one fits?
Tell me where it hurts. Thirty minutes is usually enough to name the engagement and the first deliverable.