Services
Engagements range from a focused readiness assessment to production implementation and ongoing architecture leadership.
Start with the business outcome. Choose the simplest architecture that satisfies the real security, data, and operating requirements.
Agent engineering
Design and build agents that reason over trusted knowledge, call approved tools, respect user permissions, and fit into existing applications and workflows.
Knowledge systems
Create grounded AI experiences that retrieve the right content, cite it clearly, and preserve the access controls your business already depends on.
Cloud foundation
Define the cloud, data, network, identity, and delivery foundation required to move AI from experimentation to an enterprise service.
Advisory & leadership
Give technical and business leaders a clear decision framework, a practical roadmap, and senior architecture support as the AI portfolio grows.
Ways to engage
The ranges below are typical starting points. Final scope and pricing depend on complexity, data readiness, security requirements, and timeline.
Clarify the path
$2,500–$7,500
Use-case review, current-state analysis, risks, target architecture, roadmap, and executive recommendations.
Discuss an assessment →Prove the value
$10,000–$30,000
A working solution that validates the experience, architecture, data, quality, security, and production path.
Discuss a proof of concept →Deliver the capability
Custom scope
Production engineering, cloud foundation, integrations, IaC, CI/CD, testing, governance, and knowledge transfer.
Discuss implementation →Add senior leadership
$3,000+/month
Ongoing architecture guidance, standards, reviews, team enablement, and executive technical support.
Discuss ongoing support →Not sure which engagement fits?
Describe what you are trying to accomplish, where you are stuck, and what a useful result would look like.
