Ravula AI

AI-Native Managed Services Firm

Get end-to-end AI operations managed as a service. Outcome-based automation where we take over your operations using AI-native managed services, delivering measurable results for IT operations, customer support, finance, and more.

  • Outcome-based pricing—pay for results, not hours or resources
  • End-to-end AI operations management for IT, customer support, finance, and more
  • AI-native approach using automation, agents, and intelligent workflows
  • Scalable, cost-effective alternative to building internal AI capabilities

Who this is for

Organizations wanting to outsource AI operations entirely rather than building internal capabilities. Ideal for companies that prefer outcome-based relationships, want to focus on core business, or need scalable AI operations without the overhead of building and managing AI teams.

Typical titles:

  • • CEO / President / Founder
  • • COO / Operations Director
  • • CTO / VP Engineering
  • • Head of Customer Support / IT Operations
  • • CFO / Finance Director

Trigger phrases you might be saying

  • ""Don't want to build AI team—prefer to outsource AI operations entirely"
  • ""Want outcome-based pricing—pay for results, not hours or resources"
  • ""IT operations burden—want managed IT ops with AI automation"
  • ""Customer support scaling—need managed support services with AI"
  • ""Finance operations—want managed financial processing with AI automation"
  • ""Focus on core business—want to outsource non-core AI operations"

Business outcomes

Cost Reduction

40-60% lower

Outcome-based pricing and AI automation reduce operational costs significantly vs. internal teams

Operational Excellence

90%+ SLA

AI-native managed services deliver consistent, high-quality operations with guaranteed SLAs

Scalability

10x+ capacity

Managed services scale operations without proportional cost increases

Focus on Core

100% focus

Outsourcing non-core operations enables focus on strategic initiatives

What we deliver

  • End-to-End Operations Management

    Complete operations management for IT, customer support, finance, and other functions. AI-native approach using automation, agents, and intelligent workflows. Outcome-based service delivery with guaranteed SLAs

  • Outcome-Based Pricing

    Pay for results, not hours or resources. Pricing based on outcomes (tickets resolved, transactions processed, incidents prevented, etc.). Aligned incentives ensure focus on business value

  • AI-Native Operations

    Operations powered by AI automation, intelligent agents, and machine learning. Continuous improvement through AI optimization. Human-in-the-loop for complex cases and quality assurance

  • Scalable Infrastructure

    Scalable operations that grow with your business without proportional cost increases. Elastic capacity for peak loads. Global operations and 24/7 support where needed

  • Transparency & Reporting

    Real-time dashboards and reporting on operations performance. SLA tracking and outcome metrics. Regular business reviews and optimization recommendations

How it works

Step 1

Assess & Design

We assess your operations, requirements, and outcomes. We design AI-native managed service solution with outcome-based pricing. We define SLAs, metrics, and success criteria.

Step 2

Transition & Launch

We transition operations to managed service model. We deploy AI-native operations with automation and agents. We establish monitoring, reporting, and governance.

Step 3

Optimize & Scale

We continuously optimize operations using AI and automation. We scale operations as your business grows. We deliver outcomes and exceed SLAs through continuous improvement.

Timeline & effort

Duration

3-6 months transition

From assessment through transition, launch, and stabilization. Ongoing managed service is continuous

Your team's time

Minimal after transition

Time spent on governance, reviews, and strategic direction. Operations are fully managed by us

Timeline factors:

  • • Complexity and scope of operations to transition
  • • Integration requirements with existing systems
  • • Regulatory and compliance considerations
  • • Need for gradual vs. rapid transition

Pricing bands

Outcome-based pricing

Pricing based on outcomes delivered (tickets resolved, transactions processed, incidents prevented, etc.) rather than hours or resources. Typical value: $100K-$1M+ annually depending on operations scope. Very high capital requirement for service provider. Pricing aligned with business value and outcomes.

Pricing factors:

  • • Scope and complexity of operations managed
  • • Volume of outcomes delivered (tickets, transactions, etc.)
  • • SLA requirements and performance guarantees
  • • Integration and customization requirements
  • • Regulatory and compliance needs

KPIs we move

Our managed services directly impact operational efficiency, cost, and quality metrics.

Operational cost ($)

SLA compliance rate (%)

Ticket resolution time (hours)

First contact resolution rate (%)

Customer satisfaction score

Incident MTTR (hours)

Transaction processing time (minutes)

Error rate (%)

Operations capacity (volume)

Cost per outcome ($)

Automation rate (%)

Operations efficiency score

Tech stack & integrations

We use AI-native technologies, automation platforms, and intelligent agents. Services integrate seamlessly with your existing systems and workflows.

AI & Automation Technologies

  • • AI agents and intelligent automation
  • • LLM platforms for natural language processing
  • • Machine learning for optimization and prediction
  • • Robotic Process Automation (RPA)
  • • Workflow orchestration and management

Common Integrations

  • • Enterprise systems (ERP, CRM, ITSM, etc.)
  • • Communication platforms (email, chat, phone)
  • • Data sources and databases
  • • Monitoring and observability tools
  • • Reporting and analytics platforms

Risks & safeguards

Service Quality & SLA Compliance

Risk: Managed services may not meet quality standards or SLA requirements, impacting business operations

Safeguard: We define clear SLAs and outcome metrics upfront. We provide real-time monitoring and reporting. We implement quality assurance and human-in-the-loop for complex cases. We also provide SLA guarantees and remediation processes. We establish governance and regular business reviews.

Vendor Lock-In & Flexibility

Risk: Managed services may create vendor lock-in, making it difficult to switch providers or bring operations back in-house

Safeguard: We design services with flexibility and portability in mind. We provide clear transition plans and exit strategies. We maintain documentation and knowledge transfer. We also offer hybrid models and gradual transitions. We design contracts with reasonable terms and exit provisions.

Data Security & Compliance

Risk: Managed services may have security or compliance issues, exposing sensitive data or violating regulations

Safeguard: We implement comprehensive security controls and compliance frameworks. We provide security certifications and audit reports. We ensure data privacy and regulatory compliance. We also provide data residency and sovereignty options. We maintain security monitoring and incident response capabilities.

Caselets

Mid-Size Tech: Managed IT Operations

Challenge: Mid-size tech company with 200 employees struggled with IT operations. Small IT team overwhelmed with tickets, incidents, and maintenance. High MTTR (8+ hours) and low SLA compliance (70%). Wanted to focus on product development, not IT operations. Needed managed IT ops with AI automation.

Solution: Transitioned to AI-native managed IT services with outcome-based pricing. Deployed AI agents for ticket triage, incident resolution, and automation. Established SLAs and outcome metrics. Implemented 24/7 monitoring and support.

Impact: Reduced IT operational costs by 50% ($200K to $100K annually). Improved SLA compliance from 70% to 95%. Reduced MTTR from 8 hours to 2 hours. Enabled IT team to focus on strategic initiatives. Improved employee satisfaction with IT support. ROI: $150K annual savings plus improved productivity and focus.

E-commerce: Managed Customer Support

Challenge: E-commerce company with growing customer base needed to scale support operations. Support team couldn't keep up with ticket volume. High response times (24+ hours) and low FCR (40%). Customer satisfaction declining. Wanted outcome-based managed support services.

Solution: Transitioned to AI-native managed customer support with outcome-based pricing. Deployed AI chatbots and agents for L1 support. Human agents for complex cases. Established SLAs and outcome metrics (response time, FCR, satisfaction).

Impact: Reduced support costs by 45% ($300K to $165K annually). Improved response time from 24 hours to 2 hours. Improved FCR from 40% to 75%. Improved customer satisfaction from 3.2 to 4.5 (5-point scale). Scaled support capacity 5x without proportional cost increase. ROI: $200K annual savings plus improved customer satisfaction and retention.

Frequently asked questions

How is this different from traditional managed services or outsourcing?

AI-native managed services use AI automation, intelligent agents, and machine learning to deliver operations, not just human labor. Outcome-based pricing means you pay for results, not hours. AI-native approach delivers better quality, lower costs, and faster scaling. Traditional outsourcing is labor-based and scales linearly with cost. Our approach scales exponentially with AI automation.

How does outcome-based pricing work?

Outcome-based pricing means you pay for results delivered, not hours or resources used. For example: pay per ticket resolved, per transaction processed, per incident prevented, etc. Pricing is aligned with business value and outcomes. We share risk and reward—if we don't deliver outcomes, we don't get paid. This ensures focus on business value, not just activity.

What if we want to bring operations back in-house later?

We design services with flexibility and portability. We provide clear transition plans and exit strategies. We maintain documentation and knowledge transfer. We also offer hybrid models where you gradually take over operations. Most clients stay with managed services because of cost and quality benefits, but we ensure you have options.

How do you ensure quality and SLA compliance?

We define clear SLAs and outcome metrics upfront. We provide real-time monitoring and reporting. We implement quality assurance and human-in-the-loop for complex cases. We also provide SLA guarantees and remediation processes. We establish governance and regular business reviews. AI-native approach enables consistent quality at scale.

What about data security and compliance?

We implement comprehensive security controls and compliance frameworks. We provide security certifications and audit reports. We ensure data privacy and regulatory compliance. We also provide data residency and sovereignty options. We maintain security monitoring and incident response capabilities. We comply with industry standards (SOC 2, ISO 27001, etc.).

Can you handle complex or specialized operations?

Yes, we handle complex and specialized operations using AI-native approach. AI agents and automation handle routine tasks, while human experts handle complex cases. We customize services for your specific needs and requirements. We also provide domain expertise for specialized operations. Most operations benefit from AI automation, even complex ones.

What's the typical cost savings and ROI?

Typical cost savings are 40-60% vs. internal operations. ROI includes: direct cost savings, improved quality and SLA compliance, scalability without proportional cost increases, and focus on core business. Most clients see ROI within 6-12 months from cost savings alone. Additional value comes from improved operations quality and business focus.

Ready to outsource AI operations with outcome-based managed services?

Let's discuss your operations needs and explore how AI-native managed services can reduce costs and improve quality.

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Last updated: November 2025