1 week
serviceAI Opportunity Audit
Find the highest-ROI AI workflows, assess data readiness, and leave with a build plan.
- Workflow inventory
- Opportunity scorecard
- ROI and risk ranking
- First-build roadmap
Services
AI deployment services for teams that need production outcomes.
I work with operators, founders, product leaders, and technical teams who need practical AI systems connected to real workflows.
Offer ladder
Start with the smallest useful step, then build toward production.
2 weeks
serviceAI Prototype Sprint
Turn one high-value workflow into a working prototype connected to real data.
- Working prototype
- RAG or agent workflow
- Evaluation set
- Production-readiness checklist
4 to 8 weeks
serviceProduction AI Workflow Build
Deploy a reliable AI workflow with integrations, monitoring, review loops, and handoff.
- Production app or internal system
- Data connectors
- Evals and guardrails
- Observability
1 to 3 days/week
serviceFractional Forward-Deployed AI Engineer
Senior AI engineering capacity embedded with your team across strategy and implementation.
- Architecture
- Implementation
- Stakeholder workshops
- Production troubleshooting
Typical workflows
Where AI can create value without becoming theater.
Customer support automationInternal knowledge assistantsAnalyst and research copilotsSales and account intelligenceCompliance and document reviewContent and AEO operationsOperations dashboardsDecision support tools
Deployment standard
The prototype is not the finish line.
A durable AI workflow needs more than a model call. The system has to survive messy data, real users, changing requirements, and operating constraints.
Workflow owner
Data access
Evaluation set
Human review
Permissions
Observability
Cost tracking
Handoff documentation
FAQ
Direct answers for buyers.
What does good AI deployment include?
Good AI deployment starts with workflow fit, data readiness, evaluation, human review, security, observability, cost controls, and user adoption.
How do engagements usually start?
Most engagements begin with a focused audit or prototype sprint before committing to a production build.
What teams are the best fit?
The best fit is a team with a real workflow owner, access to sample data or documents, and a desire to ship a working system.