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Resolve™

Agentic AIOps & Managed Operations

Run IT and enterprise operations as outcomes and business value — incidents prevented, tickets resolved, uptime underwritten. Resolve™ replaces the people-heavy run-and-maintain layer of IT with a governed fleet of AI agents that detect, triage, decide and act across the service desk, applications, infrastructure, network and security — humans supervising exceptions, under ITIL process-centric delivery. It integrates with your incumbent ITSM, IAM and observability tools — they stay the system of record, with no rip-and-replace.

60–80%
L1/L2 auto-resolution
2–3×
faster MTTR
30–50%
lower cost per ticket
24/7
always-on coverage

What you get & what it delivers

Bold deliverables. Measurable benefits.

Key deliverables

  • A governed agent fleet across service desk, apps, infra, network and security
  • Autonomous detect → triage → decide → act loop with human escalation
  • RAG over runbooks, CMDB and knowledge base for grounded resolution
  • Self-healing infrastructure, patching, config and FinOps automation
  • Audit-ready records and bounded-autonomy policy on every action

Business benefits

  • 60–80% of L1/L2 tickets resolved autonomously
  • 2–3× faster mean-time-to-resolution
  • 30–50% lower cost per ticket, at near-zero marginal cost
  • Higher CSAT and fewer major incidents
  • Gross margin that rises as the learning loop compounds

Outcomes, visualized

The numbers we target.

Indicative ranges — 2025–26 estimates and planning targets. Actual outcomes are scoped and contracted per engagement.

Auto-resolution by tier

Share of volume resolved without a human (target)

L1 tickets80%
L2 tickets65%
L3 (assisted)30%

Operational improvement

Indicative gains vs a traditional managed-services baseline

MTTR speed-up2–3×
Cost/ticket reduction30–50%
Cloud cost takeout10–25%
SOC false positives–80%

Offering portfolio

Six managed offerings — each sold as an outcome.

Every offering runs on the Coventa control plane with bounded autonomy and human escalation, priced on outcomes rather than staff.

Autonomous Service Desk

AI agents resolve L1/L2 (and assist L3) across email, chat and ITSM — access, how-to, incident triage and fulfilment.

  • Conversational intake across channels
  • Intent + priority classification
  • RAG over runbooks, CMDB & KB
  • Automated fulfilment via ITSM/IAM APIs
  • Human escalation with full context
Outcome KPIs: 60–80% auto-resolution; 2–3× faster MTTR; +CSAT; –30% cost/ticket
Pricing: Per resolved ticket / incident prevented + platform fee
Key integrations: ServiceNow, Jira SM, Zendesk, Okta/Entra ID, M365

Agentic Application Management (AMS)

Monitor, maintain and enhance enterprise applications (COTS and custom) with auto-triage, auto-remediation and minor enhancements.

  • Application health & anomaly detection
  • Auto-triage and root-cause
  • Self-healing & auto-remediation
  • Minor enhancements via Forge™
  • Release & change support
Outcome KPIs: Ticket deflection 50–70%; Lower change lead time; Higher app availability
Pricing: Per-application managed-outcome + change gain-share
Key integrations: SAP, Salesforce, Oracle, custom apps, Dynatrace/AppD

Infrastructure & Cloud Operations (AIOps)

Self-healing infrastructure and cloud operations — patching, config, capacity, FinOps and remediation.

  • Event correlation & noise reduction
  • Auto-remediation playbooks
  • Patch & config automation
  • Cloud cost & capacity optimization
  • Drift & compliance enforcement
Outcome KPIs: Auto-remediation 60%+; 10–25% cloud cost takeout; 99.9%+ availability
Pricing: Per-node / per-outcome + FinOps gain-share
Key integrations: AWS, Azure, GCP, Terraform, Datadog, Splunk

Autonomous SOC (Security Operations)

Agentic threat detection, triage and response under bounded autonomy — enrichment, hunting and containment.

  • Alert enrichment & correlation
  • Automated triage & prioritization
  • Guided / auto containment
  • Threat hunting agents
  • Audit-ready response records
Outcome KPIs: Faster MTTD/MTTR; –80% false positives; 24/7 coverage
Pricing: Per-endpoint + per-incident outcome
Key integrations: CrowdStrike, Microsoft Sentinel, Splunk, SOAR

Autonomous NOC (Network Operations)

Network monitoring, fault correlation and auto-remediation for enterprise and telco networks.

  • Fault & performance correlation
  • Closed-loop remediation
  • Service-impact analysis
  • Capacity & assurance
  • Field-dispatch orchestration
Outcome KPIs: Incident auto-resolution; Higher network uptime; Lower truck rolls
Pricing: Per-managed-element + uptime SLA
Key integrations: OSS/BSS, SolarWinds, ServiceNow, Netcool

SRE & Reliability Engineering

Agentic site-reliability — error-budget management, incident command, problem management and observability.

  • SLO / error-budget management
  • Agentic incident command
  • Automated RCA & problem mgmt
  • Observability engineering
  • Reliability gain-share
Outcome KPIs: SLO attainment; Lower change-failure rate; MTTR reduction
Pricing: Outcome-based reliability retainer
Key integrations: Datadog, Grafana, PagerDuty, OpenTelemetry

Prove it in weeks

Flagship POC — Autonomous Service Desk

A 6–8 week proof that lands fast and proves the unit economics: stand up the control plane against one ticket queue and demonstrate verified auto-resolution at 60%+.

Ticket / Alert

Requests and alerts arrive from email, chat, ITSM and observability into a single agent intake.

Intake & Classify

A triage agent extracts intent, urgency and entities, deduplicates and routes to the right skill.

Retrieve

RAG over runbooks, the CMDB and knowledge base assembles grounded context for resolution.

Reason & Plan

The orchestrator selects a resolution path and the tools/permissions required, within policy.

Act

Action agents execute via ITSM, identity and cloud APIs — resets, provisioning, restarts, config changes.

Verify & Resolve

An outcome check confirms the fix and closes the ticket; only judgment cases escalate to a human tier.

Learn

Every resolution enriches runbooks, evals and outcome data — the flywheel that raises auto-resolution over time.

Commercial models

Priced on outcomes — never per FTE.

Outcome pricing

Pay per resolved, prevented or processed unit — or per SLA met. Never per FTE.

Consumption

Usage-based for data-, model- and compute-intensive offerings.

Gain-share

Shared upside on a measurable business KPI — cost takeout, throughput, quality.

Platform fee

Covers the control plane, governance and continuous evals.

Explore the portfolio

Other Coventa service lines

You pay for outcomes, not headcount.

Let's scope a flagship Resolve™ POC against one of your queues, workflows or lines — and prove the unit economics on your own estate.