Services

Keep AI Running; Without Building an AI Team

Training, managed services, governance, and optimization so your AI investments keep delivering value long after launch.

Ongoing partnershipNo AI team neededContinuous improvement


Overview

You've built or bought AI capabilities; now you need them to actually work, day after day, without hiring a full AI team. We provide the training, monitoring, governance, and continuous improvement that keep AI systems productive and compliant.


Rhythm

Operating Cadence

Regular touchpoints to keep AI systems healthy

These are examples. Cadence and activities are customized for each engagement.

Weekly
  • System health check and monitoring review
  • Issue triage and resolution
  • Usage and cost tracking
  • Team Q&A and support
Monthly
  • Performance optimization review
  • Prompt and workflow tuning
  • Training refreshers as needed
  • Governance policy review
Quarterly
  • Strategic roadmap alignment
  • ROI and value assessment
  • New use case identification
  • Executive reporting and planning
Response

Support Model

What happens when things need attention

The following are examples. SLAs and response tiers are tailored to each engagement.

L1 - Standard Support

SLA: Next business day

Trigger: General questions, minor issues

Async response via Slack/email with documentation and guidance

L2 - Priority Support

SLA: 4 hours

Trigger: System degradation, quality issues

Direct engineer engagement with diagnosis and remediation plan

L3 - Critical Support

SLA: 1 hour

Trigger: System down, security incident

Immediate escalation with dedicated response team

L4 - Executive Escalation

SLA: 30 minutes

Trigger: Business-critical impact

Leadership involvement with cross-functional coordination

Continuous Improvement

Optimization Loop

Areas we continuously monitor and improve

Prompt Quality

Metrics
Answer accuracyUser satisfactionHallucination rate
Actions
  • A/B test prompt variations
  • Update few-shot examples
  • Refine system instructions

Cost Efficiency

Metrics
Cost per queryToken usage trendsModel selection accuracy
Actions
  • Right-size model selection
  • Implement caching strategies
  • Optimize context windows

System Performance

Metrics
Response latencyError ratesThroughput capacity
Actions
  • Infrastructure tuning
  • Caching and CDN optimization
  • Load balancing adjustments

Results

What you get

Systems that stay healthy

Ongoing monitoring, optimization, and issue resolution so AI keeps performing.

Responsible AI use

Governance policies and controls that satisfy regulators and reduce risk.

Continuous improvement

Regular reviews, prompt tuning, and new use-case development as your needs evolve.


Deliverables

What we deliver

Team training & adoption programs; role-specific workshops, prompt engineering, best practices
Managed AI services; monitoring, performance tuning, issue triage, and model updates
AI governance & policy development; acceptable use, data handling, audit readiness
Prompt library & playbook creation; tested prompts and workflows for your use cases
Vendor & tool evaluation; help selecting, configuring, and integrating AI tools
Quarterly strategy reviews; roadmap alignment, ROI tracking, and new opportunity identification

Questions

FAQs

Do we need AI already deployed to use this service?

Not necessarily. We can help you evaluate tools, plan adoption, and then manage ongoing operations; or pick up support for systems you've already built.

How is this different from your implementation services?

Implementation builds the AI capability. Enablement & Support keeps it running, keeps teams trained, and keeps governance current after go-live.

What if we eventually want to bring this in-house?

Great; we'll help you define roles, hire, and transition knowledge. Our goal is lasting success, not dependency.

How quickly can we start?

Training workshops can begin within 2 weeks. Managed services typically start with a 2-week onboarding period.


Keep your AI investments working.

Training, managed services, and governance; so you can run AI confidently without building an internal team.