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One Platform for Your Enterprise Agent Ecosystem

As AI agents multiply across teams, platforms, and business workflows, managing them at scale becomes increasingly complex. QBurst Managed Agents Platform provides a unified platform to orchestrate, govern, monitor, and optimize enterprise AI agents, while keeping humans in control.

Enterprise-Grade Control for AI Agents

Bring the capabilities needed to manage increasingly complex agent ecosystems into a unified platform.

Operate & Optimize

Improve Operational Visibility

Lifecycle Management

Manage agents from design and testing through deployment and retirement, with automated health checks and retraining triggers.
Seamless integration

Version Management

Maintain control over models, prompts, and configurations with version histories, single-click rollback, and A/B testing.
Faster Business Execution (1)

Real-Time Observability

Gain end-to-end visibility into agent execution, decision paths, latency, and accuracy, with proactive alerts.
Lower Operating Costs

Cost Optimization

Enforce token budgets and dynamically route tasks to the optimal foundation or domain model using an intelligent LLM Router.

Govern and Control

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Agent Registry

Maintain a centralized inventory of production agents with defined ownership, deployment status, access scope, and performance baselines.
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Human-in-the-Loop (HITL) Workflows

Apply review, approval, and override workflows, escalating high-stakes or threshold-breaching decisions to human teams.
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Enterprise Governance

Apply role-based access control, immutable audit trails, and consistent safety policies across agents and workflows.
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Data & AI Sovereignty

Deploy agents across your preferred cloud or on-prem environment while retaining control over your data, models, and agent ecosystem without hyperscaler lock-in

Put Managed Agents to Work Across Your Enterprise

Deploy and orchestrate purpose-built agents around the workflows and decisions that matter to your industry.

Retail

Commerce • Customer Experience • Merchandising • Supply Chain

Transform commerce, customer engagement, merchandising, and supply-chain operations through coordinated agentic workflows.

Agentic Commerce

Conversational purchase journeys from product discovery to checkout.

Agentic Contact Centre

AI-assisted customer service reducing handling time and boosting CSAT.

Demand Forecasting

Forecasting enriched with real-time social, weather, and competitive signals.

Dynamic Pricing

Intraday repricing decisions informed by demand, inventory, and competitive signals with human-in-the-loop guardrails.

Visual Merch & Catalog

Automated attribute tagging, product enrichment, image classification, and cross-channel catalogue consistency at scale.

Returns & Supplier

Automated returns triage, restocking, and supplier OTIF monitoring.

Coordinate AI agents across the insurance lifecycle, from customer onboarding and underwriting to claims and compliance.

Claims Automation

Automated FNOL intake, coverage verification, reserve setting, and claims routing.

Fraud Detection

Claims analysis to identify suspicious activity and support investigations.

Underwriting Assist

Risk and submission intelligence to support risk scoring, premium indications, and quoting.

Customer Onboarding

Automated onboarding, Know Your Customer (KYC) verification, and straight-through processing (STP) of documents.

Policy Servicing

Support for endorsements, renewals, lapse notices, and routine coverage queries.

Regulatory Compliance

Regulatory monitoring and audit trails to support compliance and reporting.

Connect AI agents across planning, production, maintenance, quality, and supply-chain operations.

Supplier Risk Monitoring

Continuous monitoring of supplier health, lead times, quality, and potential disruptions.

Predictive Maintenance

Sensor-driven insights to anticipate equipment failures and support planned maintenance.

Production Sequencing & Scheduling

Dynamic scheduling in response to breakdowns, shortages, and changing priorities.

Quality Defect Root Cause

Analysis across production, material, equipment, operator, and environmental data to identify potential causes of defects.

Energy Consumption Optimization

Energy monitoring to identify waste and opportunities to reduce peak demand.

PFEP & Safety Stock Planning

Automated safety-stock generation and inventory categorization based on production requirements.