AI agents that monitor, predict, and act — so your platform self-heals before your customers ever notice a thing.
Traditional managed services are reactive by nature — a human notices a problem, raises a ticket, and fixes it hours later. Your customers already felt it.
Jarvis Agentic Managed Services operates differently. AI agents continuously monitor, classify, and autonomously resolve the majority of operational incidents — with human experts handling the complex, strategic, and novel.
The result is a platform that self-heals, self-optimises, and continuously evolves — reducing your Total Cost of Ownership while raising the quality of every customer interaction.
Human reviews logs after something breaks — customer experience already impacted
Ticket-based operations — each issue manually triaged and assigned
No predictive capability — failures are discovered, not anticipated
Platform slowly ages with no embedded improvement loop
High human cost to cover round-the-clock operations
AI agents resolve P2/P3 incidents autonomously — zero human latency
Agentic workflows orchestrate remediation, testing, and deployment automatically
ML models predict failures 48 hours ahead — issues prevented, not fixed
Platform continuously improves via agent-driven optimisation loops
Human experts focus on strategy and innovation — not toil
When AI agents handle operational toil, your platform performs better, your teams focus on value, and your customers stay loyal.
Our global delivery centres across the USA, Australia and India provide L1, L2 and L3 support backed by AI agents — with dedicated human specialists for every platform we manage.
AI agents run continuously across your entire platform stack — monitoring, classifying, and acting on anomalies in real time. No tickets, no delays, no human latency in the loop.
Agentic incident triage — AI classifies every alert by severity, impact, and resolution path within seconds
Synthetic transaction monitoring — simulated customer journeys run 24/7 to catch failures before real users do
Predictive anomaly detection — ML models flag emerging issues 48h ahead of impact
P1 response <15 minutes — guaranteed escalation path to senior human engineers for critical incidents
94% of common operational incidents are resolved autonomously by AI agents — cache clears, restart sequences, configuration rollbacks, integration reconnects — without waking anyone up.
Automated remediation playbooks — AI agents execute proven fix sequences for classified incident types
Self-healing integrations — agents reconnect, retry, and re-authenticate API failures without human intervention
Automated deployments — patch, config, and minor feature releases executed by agents on defined schedules
Post-resolution validation — agents verify successful remediation before closing the loop
AI handles the operational toil. Your dedicated human team — SAP-certified, Salesforce-certified, platform-specialist experts — focus on the complex, the novel, and the strategic.
Consistent specialist teams — the same experts manage your platform month after month; no knowledge resets
Institutional knowledge base — your business logic, customisations and integrations fully documented and retained
Escalation path — direct access to senior architects and platform leads for complex incidents requiring human judgement
Vendor liaison — we manage SAP, Salesforce and AWS relationships on your behalf
Every AMS package includes 40 to 100 guaranteed development hours per month — delivered by your human team guided by AI insights — to keep your platform evolving, not just surviving.
Agent-identified optimisations — AI surfaces improvement opportunities; your team executes them every sprint
Minor feature rollouts — new capabilities deployed regularly without a separate project budget
Technical debt elimination — systematic reduction of legacy code and architectural risk every month
Performance tuning — targeted improvements to conversion, speed, and efficiency with every cycle
Every Jarvis Agentic AMS engagement runs on a structured cadence — from continuous real-time agent activity to strategic human-led planning cycles every month and quarter.
Every action — agent-initiated or human-led — is logged, documented and surfaced in your monthly intelligence report.
Transitioning to Jarvis Agentic AMS is seamless and structured. We train our agents on your platform, configure your playbooks, and run in parallel before taking full autonomous control.
We map your codebase, architecture, and integration landscape — and configure AI agents with your platform-specific patterns, thresholds, and remediation playbooks from day one.
Codebase review and environment analysis
Agent playbook configuration for your platform
Monitoring baseline and threshold calibration
Integration and dependency mapping
Our AI agents learn your platform's normal behaviour, failure patterns, and business logic. Human knowledge transfer sessions ensure your customisations and history are fully captured.
AI model training on your platform's normal behaviour
Recorded knowledge transfer sessions with your team
Business logic and customisation documentation
Historical incident pattern analysis and playbook refinement
Agents run in observation mode alongside your existing support, validating playbooks and accuracy. Once BAU-ready, agents take autonomous control and the first innovation sprint begins.
Agent shadow mode — observe, classify, recommend (not act)
Playbook accuracy validation and refinement
BAU readiness sign-off from all parties
Full autonomous handover and first intelligence sprint
All plans include 24/7 AI agent monitoring, autonomous P2/P3 resolution, and guaranteed human development hours. Select the tier that matches your platform complexity.
All packages include: 24/7 AI agent monitoring, autonomous P2/P3 incident resolution, predictive anomaly detection, monthly intelligence report, knowledge base and the 2–6 week agentic onboarding programme at no additional cost.
Let AI agents handle the operational toil while your team focuses on growth. Jarvis Agentic Managed Services — predictive, autonomous, and built for the modern enterprise.