Enterprise AI Operations
AI Ops ensures AI systems stay accurate, compliant, cost-efficient, and resilient as usage grows. ShipAI Technologies provides end-to-end lifecycle operations: monitoring, retraining, versioning, evaluation, cost control, and incident response.
Applications & APIs
Assistants, document workflows, routing, and decisioning systems
Data Flows
Retrieval pipelines, feature stores, and ETL/ELT orchestration
Models
Foundation-model integrations, RAG stacks, fine-tuned models
Governance
Privacy, access, audit, bias checks, and explainability policies
Core Services & Modules
Comprehensive AI operations across five key areas of expertise
Production Hosting & Reliability
Auto-scaling infra, health checks, disaster recovery.
Observability & Metrics
Latency, throughput, success rate, cost per request, model drift signals.
Cost Optimization
Batch processing, response caching, model selection & fallback logic.
Governance & Security
Access policy, data retention, logging, compliance templates (GDPR/HIPAA notes).
Continuous Improvement
A/B tests, prompt engineering, data labeling & retraining pipelines.
Scaling Playbook
Structured approach to scaling AI systems from MVP to enterprise-grade
Harden MVP
Monitoring, alerts, and support SLOs
Optimize Performance
Caching, distillation, and batching
Feedback Loops
Dataset feedback loops, retraining cadence, and human-in-the-loop review
Enterprise Scale
Multi-region, high-availability deployment and disaster recovery posture
What We Deliver (Ongoing)
Comprehensive ongoing services to keep your AI systems running optimally
Managed Hosting & Deployment
Containerized services, backups, and deployments.
Monitoring & Alerting
Latency, error rates, model response quality, usage & cost dashboards.
Model Maintenance
Prompt tuning, model updates, drift detection, retraining plans.
Security & Compliance
Data handling policies, access control, PII handling guidance.
Monthly Improvement Sprints
Feature enhancements or performance lifts.
Quarterly Business Review
ROI tracking & roadmap refresh.
KPIs We Track & Improve
Comprehensive monitoring across reliability, quality, cost, and compliance
Reliability
- • Uptime / Availability (%)
- • Latency (ms)
- • Error budgets
- • Incident MTTR
Quality
- • Task accuracy
- • Hallucination rate
- • Escalation rate
- • User satisfaction
Cost
- • Cost per 1,000 requests
- • Monthly spend
- • Optimization savings
Compliance
- • Access policy violations
- • PII incidents
- • Audit coverage
Business Impact Metrics
Conversion lift • Automation rate • Time savings • Model accuracy score
Engagement Models
Managed AI Ops
Full operations with SLAs, dashboards, and monthly optimization cycles.
Co-managed
We run the platform while enabling internal teams with playbooks and training.
Advisory
Periodic reviews, audits, and architecture guidance for internal platforms.
Security & Compliance Posture
Access & Control
- • Role-based access control for services
- • Logging & audit trails
- • Data retention & deletion policies
Advanced Security (Optional)
- • PII detection & redaction pipelines
- • Secure enclaves for sensitive data
- • Enhanced monitoring & alerting
Onboarding Checklist
What we'll need to get your AI operations up and running
Hosting Access
Access to hosting account (AWS/GCP/Azure/Render) or we host on your behalf
API Keys & Accounts
API keys, service accounts, and sample workloads
SLAs & Contacts
SLAs and escalation contact list
Compliance Requirements
Any compliance requirements (GDPR, HIPAA, etc.)
Why a Managed Approach Matters
Critical challenges that require expert AI operations management
Model Degradation
Models degrade over time (concept & data drift). Without proper monitoring, outputs can become unreliable.
Cost Control
Costs can explode without controls. We implement cost-aware strategies to optimize spending.
Enterprise Compliance
Governance and compliance are increasingly mandatory for enterprise customers.
Frequently Asked Questions
Do you support hybrid/multi-cloud?
Yes, with portable patterns and policy-based access.
Can you integrate with our SIEM and ITSM?
Yes—integrations for incident management and security analytics.
How do you handle model drift?
Scheduled evals, drift detection, retraining plans, and safe rollbacks.
Complete AI Journey
From assessment to pilot to operations - your complete AI transformation path
Step 1: AI Readiness Audit
Start with a comprehensive assessment to identify your highest-ROI opportunities and create a strategic roadmap.
Learn about AI Readiness AuditStep 2: Rapid AI Pilot
Transform your highest-priority use case into a working MVP in just 2-4 weeks with measurable KPIs.
Learn about Rapid AI PilotStep 3: Custom AI Solutions
Design and deploy bespoke AI solutions tailored to your unique business processes and requirements.
Explore Custom Solutions