AI Systems & Enablement
A five-tier AI service line that takes you from readiness audit to private regulated deployment—built with human approval gates, source citations, and full client ownership.
AI Readiness & Opportunity Sprint
A focused engagement that audits your data, processes, and AI readiness, then delivers a 90-day roadmap you can execute with us or on your own.
- Data and systems audit
- Process mapping for AI opportunities
- AI readiness score and gap analysis
- 90-day prioritized roadmap
- Tool and provider recommendations
AI Business Launch
We set up your chosen AI platform and ship the first workflows with permissions, policies, and staff training in place.
- ChatGPT Business, M365 Copilot, Claude, Google Workspace AI, or private/local setup
- Permissions and usage policies configured
- Prompt library built for your workflows
- 2 to 4 production workflows shipped
- Staff training and documentation
AI Agent & Knowledge-System Build
Custom agents and retrieval systems that cite sources, respect data boundaries, and route actions through human approval gates.
- Custom agents for your business processes
- RAG with source citations on every answer
- Document intelligence and extraction
- Agentic workflows with human approval gates
- Knowledge base indexing and boundaries
Private & Regulated AI Implementation
Local or private model deployment for legal, financial, and healthcare environments where data cannot leave your boundary.
- Local and private model deployment
- Controls, evidence, and audit trails
- Compliance mappings for your regulatory framework
- Security boundaries and data residency
- Legal, financial, and healthcare configurations
Managed AI Operations
Ongoing monitoring and optimization so your AI systems stay accurate, compliant, and cost-effective as models and business needs evolve.
- System and uptime monitoring
- Prompt updates and version control
- Output-quality evaluations
- Cost monitoring and optimization
- Monthly optimization tuning
- Staff training and enablement
- Quarterly business reviews
- Provider and model upgrade guidance
12 AI Engagement Elements
Every engagement across all five tiers includes these controls and commitments.
- Human approval gates — agentic actions route through a person before anything is sent or committed
- Source citations — RAG answers cite the document and passage they drew from
- Data boundaries — agents query only approved, indexed sources
- Provider disclosure — every model and provider is named and documented
- Client ownership — you own all agents, prompts, configs, and documentation
- Testing — workflows are tested before launch and on every change
- Documentation — full handoff docs for every system we build
- Training — staff enablement on every workflow and tool
- Security boundaries — least-privilege access and network controls
- Audit logging — every agent action is logged for review
- Output evaluation — quality scoring on generated content
- Cost monitoring — token usage and spend tracked and reported
Support Model
Automation runs 24/7. Human support is available evenings and weekends so regulated and operational clients always have a path to a person when it matters.