Responsible AI & Managed Services
24X7 managed services in database monitoring and management, and other IT queries.
Responsible AI & Managed Services
24X7 managed services in database monitoring and management, and other IT queries.
Why Cannyfore Managed Services
We provide comprehensive managed services, supporting client applications, system environments, and infrastructure products, ensuring seamless operation and end-to-end management for a reliable, efficient, and secure IT ecosystem.
- Increased operational efficiency& reduced operational costs (TCO)
- SLA-driven approachthat delivers significant & measurable benefits
- Knowledge retention— more streamlined and sustainable over time
- Improve Service Levels& Application Availability continuously
- Focus on running the business, not the technology
- Peace of mindfrom continuous 24×7 monitoring & proactive alerts
Type of Work
Explore our range of managed services, from application management to infrastructure support, tailored to meet your business needs.
Our Managed Services Portfolio
End-to-end managed services across applications, infrastructure, AI, cloud, security, and advisory.
AI & Intelligent Automation
GenAI-assisted monitoring, AIOps for anomaly detection, RPA + AI hybrid workflows, Intelligent Document Processing and LLM-powered knowledge base for faster resolution
Cloud & DevOps
Hybrid cloud operations across AWS, Azure, GCP & IBM Cloud. CI/CD pipeline management, container platform management, Infrastructure-as-Code and FinOps optimisation.
Advisory & Health Check
Managed services readiness assessments, ROI analysis, system health checks, KPI framework design, technology roadmap alignment and continuous improvement planning.
Security & Compliance
24×7 threat monitoring, vulnerability management, identity & access management, security hardening, penetration testing and continuous compliance reporting.
Application Managed Services
Full lifecycle AMS — Monitor, Maintain, Enhance & Transform. Corrective, Adaptive, Preventive & Perfective maintenance across your entire application portfolio, regardless of technology stack.
Infrastructure & Middleware
Server, DB, Network & Security administration across on-prem, cloud and hybrid environments. DR & HA solutions, proactive patch management and middleware platform support.
Support Levels
L1 — Monitoring & First Response
24×7 monitoring, alert triage, initial diagnosis, and first-line resolution. GenAI knowledge base provides instant answers from runbooks and past incidents — reducing MTTR by 40–60%. Standard operational issues handled without escalation.
L2 — Problem Identification & Resolution
In-depth problem identification, root cause analysis, and resolution of issues beyond L1 scope — including model performance degradation, data pipeline failures, and integration issues. Escalation to L3 for complex or critical cases.
L3 — Deep Expertise & Critical Support
Senior engineers and AI specialists for critical production issues, model debugging, retraining oversight, and architectural problem-solving. Direct access to Cannyfore's AI, data, and platform specialists.
AI-Augmented Operations
Combining human expertise with Generative AI, AIOps and intelligent automation — built into every engagement, not bolted on.
Agentic AI Operations
AI agents that autonomously handle ticket routing, Tier-1 responses, root cause analysis and proactive incident prevention — with human-in-the-loop controls at every critical decision.
GenAI Knowledge Base
LLM-powered knowledge retrieval for L1 auto-resolution. Instant answers from runbooks, past incidents and documentation — reducing MTTR by 40–60%.
AIOps & Observability
ML-based anomaly detection, predictive SLA breach forecasting, and next-best-action recommendations — so issues are caught before they impact production.
Intelligent Document Processing
AI-powered extraction and processing of operational documents, incident reports, runbooks, and compliance records — reducing manual handling and improving accuracy.
Responsible AI — Keeping Your Models Safe & Compliant
Deploying an AI model is not the finish line — it is the starting gun. Models drift. Data changes. Regulations evolve. Bias surfaces in ways that weren’t visible at launch. Cannyfore’s Responsible AI practice keeps your AI systems governed, explainable, and continuously improving after go-live.
AI Governance & Risk Frameworks
Design and implement enterprise AI governance policies covering model risk management, data ethics, accountability structures, and regulatory compliance (GDPR, EU AI Act, sector-specific requirements). Clear ownership at every layer — from data to decision.
Bias Detection & Fairness Testing
Systematic bias evaluations across your models and datasets — pre-deployment and on an ongoing schedule — identifying discriminatory patterns and fairness gaps before they become liabilities.
Safety & Red-Team Evaluations
Stress-test your AI systems against adversarial inputs, prompt injection attacks, and edge cases that standard QA misses. Our red-team exercises expose vulnerabilities before bad actors find them.
Explainability & Audit Trails
Instrument your models for explainability — so every decision can be traced, justified, and audited. Essential for regulated industries where 'the model said so' is not a sufficient answer.
24×7 Model Monitoring & Drift Detection
Monitor production models around the clock — tracking prediction quality, data distribution shifts, feature drift, and system performance. Catch degradation early before it affects business outcomes.
Continuous Retraining & Optimisation
Managed retraining pipelines, version control, A/B testing of new model versions, and safe rollout procedures — ensuring your AI keeps improving rather than silently degrading.
Our Delivery Framework — Monitor · Enhance · Transform
Every managed services engagement is structured around three progressive phases that move you from stability to continuous innovation.
- Pro-active health checks, monitoring & alerts
- System administration, configuration & maintenance
- Mitigation of staffing risks & priority management
- Adequate coverage window for production
- SLA-driven support to manage application portfolio
- Testing services, upgrades, migration & patch management
- Performance optimisation & capacity planning
- Knowledge retention through structured KM & runbook processes
- Continuous improvement recommendations backed by data
- AI & automation integration into managed workflows
- GenAI knowledge base deployment for faster resolution
- AIOps anomaly detection & predictive SLA breach forecasting
- Technology roadmap alignment and advisory
Type of Work
Explore our range of managed services, from application management to infrastructure support, tailored to meet your business needs.
Configuration Management
Efficient configuration management streamlining system setups, tracking changes, and ensuring consistency across infrastructure and application environments.
Corrective and Preventative Maintenance
Ongoing corrective and preventative maintenance to minimize downtime, resolve issues, and enhance system longevity and stability.
Minor Defect Fixes and Enhancements
Quick minor defect fixes and enhancements to address operational issues, improve functionality, and optimize user experience.
Infrastructure and Application Monitoring
Proactive infrastructure and application monitoring to detect issues early, enhance performance, and ensure reliable service delivery.
System Administration
Comprehensive system administration ensuring efficient operations, routine maintenance, and optimal performance across your IT environment.
SLA Framework & Incident Management
Transparent, penalty-backed SLA commitments across all severity levels — aligning Cannyfore’s incentives with your outcomes.
P1 — Critical
Response: 15 min · Resolution: 4 hrs · Availability impact: Production down
P2 — High
Response: 30 min · Resolution: 8 hrs · Availability impact: Major function impaired
P3 — Medium
Response: 2 hrs · Resolution: 24 hrs · Availability impact: Minor function affected
P4 — Low
Response: 4 hrs · Resolution: 72 hrs · Availability impact: Cosmetic / advisory
Coverage options
24×7, 8×5, or 8×7 matched to your operational requirements
Monthly reporting
KPI dashboards, SLA achievement analysis, outage frequency & resolution efficiency
Technology Stack & Centre of Excellence
Four dedicated CoEs enabling full-spectrum managed services and AI transformation across any enterprise technology landscape.
Watsonx.ai · Watson Assistant · Watson Discovery + NLP · AI-Ready Layering & RIM · Predictive SLA breach forecasting · Next-best-action recommendation
AWS · Azure · GCP · IBM Cloud · Kubernetes · Docker · Jenkins · Puppet · RPA: UiPath · Blue Prism · Automation Anywhere · Power Automate
Cloud Pak for Integration · API Connect · IIB/ACE · WebSphere MQ · DataPower · BAW (BPM & Case Mgr) · DataCap · ODM · Watsonx.ai · Watson Assistant · Watson Discovery · OpenShift · DB2
Azure Stack · Dynamics 365 · Power Platform · Power BI · React · Angular · Node.js · Spring Boot · Python · MuleSoft · PostgreSQL · MongoDB
Key Objectives
Zero-surprise model behaviour - proactive drift detection before business impact occurs
Full audit trail for every model decision, retraining event, and governance action
Regulatory-ready documentation updated as AI compliance requirements evolve
Provide adequate coverage window for production (24×7 or 8×5 or 8×7)
Provide committed Service Level Response & Resolution Time
Provide measurable service level parameters
Key Objectives
Provide adequate coverage window for production (24*7 or 8*5 or 8*7)
Provide committed Service Level Response & Resolution Time
Provide measurable service level parameters.
Zero-surprise model behaviour — proactive drift detection before business impact occurs
Full audit trail for every model decision, retraining event, and governance action
Regulatory-ready documentation updated as AI compliance requirements evolve
Contact Us
Email us
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Solution Offerings
We deliver innovative and sustainable IT solutions that enable intelligent decisions and add value to our clients.
