We help service providers improve delivery and operational excellence by embedding AI into planning, engineering, testing, deployment, and support.

• Predictive delivery insights: Identify risks early—project delays, defect hotspots, performance bottlenecks, and resource constraints using analytics and AI.

• Intelligent resource optimization: Improve utilization and cost-to-serve by forecasting demand and aligning teams to the right work at the right time.

• Automation-first execution: Replace repetitive manual tasks with AI + automation across DevOps pipelines and support operations.

Outcome: Faster delivery cycles, fewer production issues, higher productivity, and stronger SLA performance.

GenAI is redefining software delivery. We implement GenAI capabilities that enhance developer experience and reduce engineering effort across the lifecycle.

• Developer copilots: Accelerate coding, documentation, refactoring, and code comprehension.

• Automated documentation & knowledge capture: Convert tribal knowledge into searchable, usable content.

• Test case generation & automation: Generate unit tests, integration tests, and test scripts to reduce QA bottlenecks.

• Code review assistance: Improve security and quality using rule-based checks and AI suggestions.

• Legacy modernization support: Assist in understanding legacy codebases and recommending modernization paths.

Outcome: Higher engineering velocity, reduced rework, improved code quality, and accelerated modernization.

IT/ITES organizations must deliver scalable, secure, and cost-effective cloud solutions—often across multiple clients and environments. We support cloud transformation through:

• Cloud migration strategy and execution (hybrid/multi-cloud)

• Cloud-native architecture adoption (microservices, containers, Kubernetes)

• Platform engineering (internal developer platforms) for standardized, repeatable deployments

• Cloud cost optimization (FinOps) through workload right-sizing, automation, and governance

• Security hardening & policy-driven controls across cloud environments

Outcome: Faster deployments, reduced cloud spend, improved reliability, and stronger governance.

Service providers need stable systems with high availability. We design and implement modern operational frameworks using DevOps and SRE principles:

• CI/CD pipeline maturity: Build reliable pipelines with quality gates and automated checks

• SRE practices: Error budgets, incident response playbooks, and reliability engineering

• Observability stack: Centralized logging, metrics, tracing, and real-time dashboards

• AIOps enablement: Use AI for anomaly detection, root-cause identification, and incident correlation

• Automated remediation: Trigger corrective actions automatically for known issues

Outcome: Reduced incidents, faster recovery, improved uptime, and lower operational workload.

Support teams deal with high ticket volumes, repeated issues, slow knowledge discovery, and inconsistent resolutions. Maayan Technologies modernizes ITSM and support operations with:

• AI-based ticket classification, routing, and prioritization

• GenAI-powered agent assist: Suggested resolutions, step-by-step guidance, and auto-summaries

• Self-service portals & chat assistants for faster customer resolution

• Knowledge base modernization: Unified knowledge with enterprise search and relevance ranking

• SLA analytics dashboards: Visibility into backlog, resolution trends, and performance gaps

• Root-cause analytics: Identify recurring issues and eliminate them permanently

Outcome: Lower ticket volume, faster resolution, better customer satisfaction, and improved support efficiency.

Data is often fragmented across tools—Jira, ServiceNow, CI/CD pipelines, cloud platforms, monitoring systems, CRM, and time-tracking tools. We unify this ecosystem to enable decision intelligence:

• Service delivery dashboards: Productivity, velocity, defect leakage, sprint predictability

• Operations dashboards: SLA compliance, incident trends, MTTR/MTBF, availability

• Customer experience dashboards: CSAT, NPS trends, sentiment indicators (where available)

• Quality dashboards: Test coverage, defect density, release stability

• Executive insights: Portfolio-level health, cost-to-serve, forecasted demand

Outcome: Real-time visibility, better decisions, proactive management, and measurable improvements.

Many ITES processes are still manual and repetitive. We implement automation for:

• Onboarding/offboarding workflows

• Credential management and routine IT operations

• Report generation, data validation, and reconciliations

• Ticket updates, follow-ups, and SLA escalations

• Standard operational tasks and approvals

Automation isn’t just about speed—it’s about reducing errors and enabling staff to focus on high-value work.

Outcome: Lower operational cost, improved accuracy, and higher employee productivity.

For IT/ITES providers, security is a brand promise. We implement governance frameworks and security architecture that reduce risk and build client trust.

• Secure SDLC practices and automated security testing

• Data privacy and access control models

• Audit readiness and compliance alignment

• Threat detection and response integration support

• Policy-driven governance for cloud and infrastructure

Outcome: Reduced security risk, stronger compliance posture, and improved client confidence.