Keep Your AI Running and Improving
A deployed AI system is an operational asset — not a finished project. Our Managed Services engagement handles ongoing monitoring, model optimization, use case scaling, and adoption improvement so your team captures compound returns from AI without building an in-house AI operations team.
99.5%
Target System Uptime Across All Managed Deployments
6
Industry Verticals Under Active Management
Monthly
Performance Reviews with Optimization Cycles
AWS AI Competency
part of 60 global launch partners
The Challenge
Why Production AI Systems Degrade
Launching an AI system is the beginning, not the end. Without dedicated operations, production AI loses accuracy, user trust, and business value within months.
Where We Fit
Enterprise AI Framework
Managed Services is Phase 5 — the ongoing operational layer where successful pilots scale across the organization and AI becomes a continuously improving business asset.
What We Manage
Managed Services Capabilities
Every managed engagement covers the operational, technical, and strategic layers required to keep production AI systems delivering measurable business value.
Performance Monitoring & Alerting
Real-time system health dashboards, latency tracking, error rate monitoring, and automated alerting. When something degrades, our team investigates and resolves — before your users notice.
Model Optimization & Retraining
Scheduled model evaluation against accuracy benchmarks, guardrail effectiveness audits, and retraining cycles using fresh operational data. Keeps your AI system aligned with current business conditions and regulatory requirements.
Use Case Scaling
Expand successful pilots to new departments, regions, or business processes. Each scaling engagement includes data source assessment, integration mapping, compliance review, and user training for the new context.
Adoption & Change Management
Track actual usage metrics — not just logins, but task completion rates, manual override frequency, and time-to-value. Identify adoption blockers and deploy targeted training, workflow adjustments, and UX improvements.
Compliance & Governance Updates
Regulatory landscapes evolve — especially in Indonesian financial services and healthcare. We monitor OJK directives, data protection changes, and industry-specific guidance, then update guardrails and audit configurations proactively.
Infrastructure & Cost Optimization
Right-size compute resources, optimize token usage, review API call patterns, and manage cloud costs. Monthly cost-versus-value reporting ensures your AI investment stays efficient as usage scales.
Service Commitments
Built-In Operational Standards
Every managed services engagement is backed by measurable commitments. These baselines apply across all tiers, with enhanced SLAs for Tier 2 and Tier 3.
Industry Expertise
Managed Operations Across Six Verticals
Our operations team understands the compliance, data, and workflow requirements specific to each industry — not just the AI technology underneath.
Banking & Financial Services
FMCG & Distribution
Healthcare
Logistics & Manufacturing
Human Resources
System Monitoring
How It Works
Your Managed Services Engagement in Four Steps
A structured onboarding process that transitions your production AI system into an ongoing managed operations model with clear accountability at every stage.
Our Consulting Services
The Full Engagement Lifecycle
Start building with us
See the impact of Redpumpkin.AI in a demo and unlock the potential of Agentic AI for your business.
