Engagements & Pricing
Compare clear starting points, ongoing support, data foundations, and custom builds—then choose the scope that matches the work in front of you.
Continue building AI capability with strategic guidance and hands-on optimization for the work already underway.
From $2,000/month
Month-to-month with no build fee
Manage, expand, and continuously improve AI workflows and agents already operating in your business.
$4,000/month
Up to 20 hours monthly · month-to-month
Ongoing strategic guidance from a fractional AI officer across roadmap, security, and governance.
Start with a focused foundation, connect your business intelligence, or bring a custom AI solution to life.
From $8,000
Flat-rate engagement pricing based on the number of employees trained
Build the security, governance, training, and deployment foundation for practical AI adoption.
From $15,000
$5,000 base build + tiered pricing per standard source
Connect your systems into an owned data layer, then build dashboards and operational intelligence on top.
Typically $10k–$20k
Final scope and price confirmed after discovery
Build a custom AI solution around your business, data, environment, and intended outcome.
AI Quick Start
Pricing starts at $8,000 and scales with the number of employees trained.
RBAC design, DLP policies, Purview and Entra ID configuration, AI tool assessment, and an AI policy set prepared for deployment.
Team alignment on AI priorities and strategic direction. Shared language and organization-wide adoption framework established.
Hands-on training with real-world demos and use cases. AI memory setup, prompt templates, persona-building, reusable agent packages, and skills library.
Advanced agents, automation building, and role-specific skills. Participants leave with a working AI setup and a roadmap for Accelerate, AI Labs, or a scoped custom project.
AI Accelerate
From $2,000 per month, month-to-month with no separate build fee.
Facilitated discovery sessions with leadership, project evaluation against impact, feasibility, and effort, and a maintained roadmap with clear scope and success metrics.
Targeted sessions as new tools and capabilities emerge, role-specific development for leadership, power users, and end users, plus onboarding support for new team members.
Review active project status and adoption progress, align on priorities and emerging AI opportunities, and adjust the roadmap based on business needs.
Add custom application development, data and intelligence layer build-out, agent and skills expansion, and active project execution to your engagement.
How AI Labs works
Custom work stays bounded through a defined problem, agreed deliverables, regular checkpoints, and a documented handoff.
Step 01
Define the problem, desired outcome, success criteria, and implementation context.
Step 01
Define the problem, desired outcome, success criteria, and implementation context.
Step 02
Agree on defined deliverables before work begins, with investment scoped to the project.
Step 02
Agree on defined deliverables before work begins, with investment scoped to the project.
Step 03
Build with regular stakeholder checkpoints so the solution stays aligned with the business need.
Step 03
Build with regular stakeholder checkpoints so the solution stays aligned with the business need.
Step 04
Deliver full documentation and knowledge transfer so your team can own the outcome.
Step 04
Deliver full documentation and knowledge transfer so your team can own the outcome.
Need help choosing?
We will help you compare the options, identify the right starting point, and define a clear next step.
