Engagements & Pricing
Choose the AI Engagement That Fits Your Next Step
Compare clear starting points, ongoing support, data foundations, and custom builds—then choose the scope that matches the work in front of you.
AI Quick Start
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
Offering 01
Including features
- Security framework
- Workshops and training
- Governance setup
- Initial deployment
AI Accelerate
From $2,000/mo
1-year agreement, billed monthly
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.
Including features
- Workflow management
- Capability expansion
- Continuous improvement
- Ongoing support
AI Advisory
$4,000/month | Up to 20 hours monthly · month-to-month | Ongoing strategic guidance from a fractional AI officer across roadmap, security, and governance
Offering 03
Including features
- Fractional AI leadership
- Strategy and roadmap
- Security and governance guidance
Intelligence Layer
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
Offering 04
Including features
- Built in your cloud tenant
- Standard sources priced by volume
- Legacy sources scoped separately
AI Labs
Typically $10k–$20k | Final scope and price confirmed after discovery | Build a custom AI solution around your business, data, environment, and intended outcome
Offering 05
Including features
- Custom AI solutions
- Built in your environment
- Scoped to a defined outcome
AI Quick Start
Build a Practical AI Foundation in Four Sessions
Pricing starts at $8,000 and scales with the number of employees trained.
Session Zero: Security and Policy Foundation
RBAC design, DLP policies, Purview and Entra ID configuration, AI tool assessment, and an AI policy set prepared for deployment.
Session One: AI Foundation
Team alignment on AI priorities and strategic direction. Shared language and organization-wide adoption framework established.
Session Two: Tools and Capabilities
Hands-on training with real-world demos and use cases. AI memory setup, prompt templates, persona-building, reusable agent packages, and skills library.
Session Three: Agent Skills and Path Forward
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
Keep AI Work Moving After Launch
From $2,000 per month, month-to-month with no separate build fee.
Project Identification and Prioritization
Facilitated discovery sessions with leadership, project evaluation against impact, feasibility, and effort, and a maintained roadmap with clear scope and success metrics.
Ongoing Training and Enablement
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.
Monthly Strategic Roundtable
Review active project status and adoption progress, align on priorities and emerging AI opportunities, and adjust the roadmap based on business needs.
Optional Labs Add-On
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
A Clear Path From Scope to Handoff
Custom work stays bounded through a defined problem, agreed deliverables, regular checkpoints, and a documented handoff.
Step 01
Scoping Session
Define the problem, desired outcome, success criteria, and implementation context.
Step 01
Scoping Session
Define the problem, desired outcome, success criteria, and implementation context.
Step 02
Fixed-Price Proposal
Agree on defined deliverables before work begins, with investment scoped to the project.
Step 02
Fixed-Price Proposal
Agree on defined deliverables before work begins, with investment scoped to the project.
Step 03
Iterative Build
Build with regular stakeholder checkpoints so the solution stays aligned with the business need.
Step 03
Iterative Build
Build with regular stakeholder checkpoints so the solution stays aligned with the business need.
Step 04
Documentation and Transfer
Deliver full documentation and knowledge transfer so your team can own the outcome.
Step 04
Documentation and Transfer
Deliver full documentation and knowledge transfer so your team can own the outcome.
Need help choosing?
Talk Through the Right Engagement
We will help you compare the options, identify the right starting point, and define a clear next step.