Authored by Venkata Potturu, Concierto Global Partner Solutions Architect (PSA) Head & Ahilan Thiagarajah, AWS Principal Migration & Modernization Partner Solution Architect
The Migration Decision Starts Long Before the First Workload Moves
Every cloud migration begins with the same two questions: what does the current environment look like, and does moving to AWS (or another cloud) make financial sense? Answering those questions with confidence — and answering them quickly — is what separates migrations that build momentum from those that stall in analysis.
Traditionally, producing a complete infrastructure inventory and a board-ready business case takes four to six weeks of manual effort: spreadsheets, consultant interviews, data cleansing, and cost modeling exercises that consume the bandwidth of both the partner team and the customer. By the time the analysis is ready, decision fatigue has set in.
Concierto by Trianz, an AWS Transform Strategic Partner, changes that dynamic fundamentally. Its CloudIgnite engine — Concierto Agentic built on Amazon Bedrock AgentCore and Claude — compresses discovery, infrastructure analysis, and financial modeling into 96 hours, automatically, from standard data the customer already has. And with the introduction of new cloud-native, containerization, and PaaS assessment capabilities, Concierto now extends this speed and precision across the entire modern cloud estate from VMware and on-premises infrastructure to cloud-native workloads running on Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), Amazon Elastic Container Service (ECS), Lambda, Amazon Relational Database Service (RDS) managed databases, and hybrid environments.
Within the AWS Migration Acceleration Program (MAP), the Assess phase is where organizations build confidence in their migration strategy — establishing a portfolio view, defining the business case, and aligning stakeholders on the path forward. Concierto accelerates this critical phase, delivering the Assess-phase deliverables (portfolio discovery, directional business case, and workload classification) in 96 hours rather than the typical four to ten weeks. This post walks through the customer journey from initial onboarding through to executive sign-off, highlights Concierto's new capabilities, and shows exactly what the output looks like in practice.
The Customer Journey: From Kickoff to Decision-Ready in 96 Hours
Concierto's engagement model is designed to minimize friction at every step. Customers do not install agents, reconfigure infrastructure, or spend weeks in discovery workshops. The process runs in four sequential steps:
- Kickoff (90 minutes) — Scope definition, stakeholder alignment, and success criteria are agreed. The customer leaves knowing exactly what data to prepare.
- Onboarding (email) — The customer shares RVTools exports, application inventories, and environment data via a secure handoff. No agent deployment or infrastructure access required.
- Deployment (4–6 hours) — A dedicated Concierto instance is configured. Available as SaaS or private deployment (Concierto Private Edition), with interface support across 13 languages.
- CloudIgnite (96 hours) — The platform runs automated discovery, infrastructure analysis, workload classification, total cost of ownership (TCO) modeling, and business case generation across on-premises, cloud-to-cloud, containerized, and PaaS environments. The customer receives a complete, decision-ready report.
Unified Discovery: On-Premises, Cloud-to-Cloud, and Cloud-Native Workloads
One of the most time-consuming stages of any migration is simply understanding what exists. Concierto's agentless CloudIgnite engine ingests data from multiple sources — RVTools exports, cloud provider APIs, container orchestration platforms, cloud billing information, and application inventories — then applies proprietary algorithms to produce a unified infrastructure analysis without any agent deployment or manual collection effort.
1. On-Premises & VMware Infrastructure Discovery
In the sample engagement (153 virtual machines, Singapore datacenter, VMware estate), the platform automatically produced the following:
| Discovery Output | Detail |
|---|---|
| Full VM Inventory | All 153 VMs cataloged across vCPU, RAM, storage, operating system, and firmware versions |
| Data Cleansing | 33 VMs automatically excluded (powered-off systems, VMware management components, templates, print servers), leaving 120 in-scope migration candidates |
| End-of-Life Identification | 6 VMs running end-of-life operating systems (CentOS, Windows 2012) flagged for security and compliance review |
| Resource Utilization Analysis | 40% average CPU and memory utilization identified; 22 powered-off VMs still consuming active licensing — an immediate rightsizing and cost recovery opportunity |
2. Cloud-to-Cloud Migration Assessment
Concierto extends automated discovery to existing cloud environments, enabling rapid assessment of:
- Azure to AWS migrations: Concierto ingests Azure APIs (VMs, managed databases, storage accounts, networking) to assess existing deployments and identify consolidation, cost optimization, and compliance opportunities across cloud providers.
- GCP to AWS or Azure migrations: GCP resource discovery (Compute Engine instances, Cloud SQL databases, BigQuery, Cloud Storage) enables automated 7R classification and architecture mapping to AWS targets (EC2, RDS, Redshift).
- Multi-cloud estate rationalization: Where customers operate across AWS, Azure, and GCP simultaneously, Concierto maps dependencies and provides unified cost modeling and a consolidation strategy onto AWS.
Cloud-to-cloud migrations eliminate the notion of migration as a one-time event. Concierto's automated assessment enables continuous re-optimization across cloud platforms as business priorities, cost dynamics, and service availability evolve.
3. PaaS & Managed Services Assessment
Concierto's discovery engine identifies and assesses platform-as-a-service (PaaS) workloads, including:
- Managed databases: Automated profiling of SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, and other databases to recommend RDS, Aurora, DocumentDB, or other AWS native database services with compatibility, performance, and cost impact analysis.
- Data warehousing and analytics: Assessment of on-premises data warehouses, data lakes, and analytics platforms for migration to Amazon Redshift, AWS Glue, or Amazon Athena.
- Middleware and integration platforms: Automatic discovery and assessment of message brokers (RabbitMQ, Kafka, Microsoft Message Queuing (MSMQ)), API gateways, and ETL tools with mapping to AWS managed equivalents (Amazon Managed Streaming for Apache Kafka (MSK), API Gateway, AWS Glue).
- Content delivery and caching: Identification of CDN, caching layers, and storage services with migration pathways to Amazon CloudFront, ElastiCache, and Amazon Simple Storage Service (S3).
4. Container & Kubernetes Discovery and Assessment
Concierto now includes native container discovery and assessment capabilities, enabling rapid evaluation of containerized and Kubernetes-orchestrated workloads:
- GKE to AWS EKS Modernization: Automated discovery of Google Kubernetes Engine (GKE) clusters, including pod inventory, resource allocation, persistent volumes, networking policies, and security configurations. Concierto maps GKE workloads to AWS EKS with cost modeling, node type optimization, and multi-Availability Zone (AZ)/multi-region configuration recommendations.
- Container image and registry assessment: Concierto scans container repositories (Docker, ECR, Google Container Registry (GCR), Azure Container Registry (ACR)) to identify images, detect security vulnerabilities, measure image proliferation and optimization opportunities, and recommend consolidation strategies.
- Helm chart and deployment analysis: Automatic profiling of Helm releases, custom operators, and Kubernetes manifests to understand application architecture, dependency chains, and configuration requirements for migration.
- Network and security policy assessment: Discovery of Kubernetes network policies, ingress/egress rules, service mesh configurations (Istio, Linkerd), and security controls for compliance and performance mapping to target platforms.
New Feature Alert: Accelerated Discovery & Enhanced Assessment Capabilities
Concierto's platform has been enhanced with the following capabilities, further reducing assessment timelines and expanding coverage to modern cloud workloads:
- Faster Discovery & Assessment (OVA-Based) — OVA-based discovery appliance enables faster, more efficient data collection with minimal infrastructure prerequisites. Deploy once, collect data continuously across multiple discovery cycles.
- Expanded AWS Transform (ATX) Integration — Deep bi-directional integration with ATX ecosystem enables seamless handoff from assessment to migration orchestration, wave planning, and execution tracking.
- Container Discovery & Assessment — Native support for GKE, EKS, Azure Kubernetes Service (AKS), Docker, and on-premises Kubernetes clusters as discovery sources, with modernization pathways to AWS EKS, enables rapid container estate discovery and modernization pathway analysis.
- GKE → AWS EKS Modernization — Automated mapping of Google Kubernetes Engine workloads to AWS EKS with cost modeling, node optimization, and security configuration recommendations.
- ATX + AWS Transform MGN Integration — Concierto discovery output integrates directly with AWS Transform MGN for automated VM replication, cutover planning, and post-migration validation.
- Mainframe Modernization Assessment — New assessment capabilities for mainframe workloads enable evaluation of CICS (Customer Information Control System), IMS (Information Management System), COBOL applications and mapping to cloud-native, containerized, or re-hosted alternatives.
- Concierto Private Edition — Full platform deployment within customer infrastructure or sovereign cloud for EMEA GDPR/Financial Conduct Authority (FCA) compliance, government data residency, and data governance requirements.
Workload Classification: Automated Strategy, Not Consultant Assumption
Rather than relying on manual workload interviews, Concierto applies the AWS 7R migration strategy framework algorithmically — covering Rehost, Replatform, Repurchase, Refactor, Retire, Retain, and Relocate — and extends it with additional modernization pathways (such as containerization) based on each workload's discovered characteristics and target service fit.
| Strategy | VM Count | Target Architecture |
|---|---|---|
| Rehost | 98 | EC2 (t3.small through c7i-flex.2xlarge, based on rightsized profiles) |
| Replatform | 22 | RDS SQL Server/Oracle, Aurora MySQL/PostgreSQL, MSK, FSx for Windows, DocumentDB, S3, EFS |
| Retire | 33 | Decommission — powered-off VMs, templates, and VMware management components |
| Re-containerize New | 12 | AWS ECS or EKS for applications suitable for containerization |
| Refactor New | 8 | AWS Lambda, API Gateway, managed microservices for cloud-native refactoring opportunities |
| Total Assessment Scope | 173 | Automated classification aligned to MAP 7R strategies, with additional modernization pathways |
Rightsizing alone delivers a 52% reduction in vCPU allocation and a 50% reduction in memory footprint. Storage optimization further reduces 84.5 TB to 45.4 TB through intelligent tiering across Amazon Elastic Block Store (EBS) gp3, S3, and Glacier — translating to an 85% monthly storage cost reduction.
The Financial Case for Migration
For a migration to proceed with executive confidence, it needs more than a compelling narrative — it needs numbers. Concierto builds a complete financial model directly from the discovered infrastructure data, with no manual cost-modeling effort required from the partner or customer.
Current Environment Cost Baseline
| On-Premises Cost Category | Annual Cost |
|---|---|
| Hardware | $197,334 |
| Facilities (Power, Cooling, Space) | $83,794 |
| Labor | $89,659 |
| Software | $52,790 |
| VMware Licensing (Broadcom exposure) | $121,800 |
| Total Annual On-Premises Cost | $545,377 |
Three-Year Financial Model
| Period | On-Premises | AWS Cloud | Net Savings |
|---|---|---|---|
| Year 1 | $545,377 | $203,576 | $341,800 |
| Year 2 | $572,645 | $203,576 | $369,069 |
| Year 3 | $601,278 | $203,576 | $397,701 |
| 3-Year Total | $1,719,300 | $610,730 | $1,108,570 |
AWS costs remain flat across the three-year period while on-premises costs escalate year-over-year, widening the savings gap progressively.
Building Executive Conviction: The Migration Drivers Narrative
Data and financial models tell the economic story. Migration drivers provide leadership with the qualitative context to act with conviction — understanding not just whether migration saves money, but why delay compounds risk.
Concierto automatically identifies and classifies migration drivers directly from discovered infrastructure data, removing consultant subjectivity from the assessment. In the sample engagement, critical and warning drivers were automatically surfaced:
| Priority | Driver | Context & Impact |
|---|---|---|
| CRITICAL | Hardware Refresh Liability | 6 VMs running on end-of-life hardware. Migration to EC2 eliminates capital expenditure and transfers infrastructure risk to AWS. |
| CRITICAL | VMware Licensing Exposure | 153 VMs exposed to Broadcom acquisition pricing uncertainty. Migration removes the perpetual licensing dependency. |
| WARNING | Legacy Operating Systems | 6 end-of-life OS instances creating active security and compliance vulnerabilities. AWS provides modernization pathways. |
| WARNING | Resource Overprovisioning | 40% average CPU utilization; 22 powered-off VMs consuming licenses. AWS rightsizing delivers 52% vCPU reduction immediately. |
Risk Mitigation Through Automated Assessment
Traditional assessment approaches carry inherent risks: manual data collection introduces inconsistencies, consultant assumptions diverge from technical reality, and time delays create decision-making lag that extends project timelines. Concierto's automated approach systematically eliminates these risks:
- Data Accuracy — Algorithms process 100% of discovered infrastructure, not a representative sample, ensuring no material workload is missed or misclassified.
- Consistency — Same classification logic is applied uniformly across all workloads, removing subjective judgment from the assessment. Decisions are repeatable and auditable.
- Compliance Visibility — Security and compliance posture is assessed directly from configuration data. End-of-life operating systems, unpatched applications, and non-compliant configurations are surfaced immediately.
- Dependency Mapping — Network and application dependencies discovered automatically, identifying hidden coupling that manual assessment typically misses until late in the migration.
- Speed Eliminates Risk — 96-hour turnaround means decision fatigue and "analysis paralysis" are eliminated. Executive sign-off occurs while momentum is highest and stakeholder engagement is strongest.
Governance and Compliance Readiness
Cloud migration involves not just infrastructure transformation but also governance, security, and compliance transformation. Concierto's assessment identifies organizational readiness across multiple dimensions:
- Data Residency & Sovereignty — For EMEA customers subject to GDPR, FCA data residency, and government procurement requirements, Concierto Private Edition ensures all sensitive infrastructure data remains within customer-controlled environments. Assessment output integrates with Concierto Intelligence (Aviro) for continuous governance and compliance monitoring.
- Security Posture Assessment — Automatic identification of workloads running unpatched operating systems, unsupported software versions, and configurations vulnerable to common attack vectors. Mapping to AWS security best practices (Virtual Private Cloud (VPC) isolation, security groups, encryption, Identity and Access Management (IAM) policies).
- Operational Readiness — Assessment surfaces the operational complexity of each application, helping organizations plan training, staffing, and process changes required for cloud operations.
- Audit Trail — System-generated assessment artifacts provide a complete audit trail for regulatory compliance and audit documentation, reducing post-migration compliance risk.
Scale and Proven Performance
The sample engagement is representative of a pattern Concierto has delivered across a growing portfolio of enterprise migrations:
Cost Avoidance and Team Efficiency Gains
Beyond migration cost savings, Concierto delivers immediate operational benefits:
- Consultant Avoidance — Traditional discovery costs 4–6 weeks of partner consulting and 2–3 weeks of customer time (often 3–5 FTEs). Concierto assessment requires minimal customer engagement (one 90-minute kickoff + email data exchange), reducing partner delivery costs by 60%+ and customer disruption significantly.
- Licensing Recovery — Automatic identification of unused VMs, over-provisioned instances, and redundant systems creates immediate cost recovery opportunities, often offsetting assessment costs within 30–60 days.
- Infrastructure Decommissioning — 22 powered-off VMs in the sample engagement were still consuming a share of the estate's $121,800 annual VMware licensing cost (across all 153 VMs). Concierto's automatic identification enables immediate decommissioning with no migration risk.
- Wave Planning Efficiency — Automated dependency mapping and workload classification enables optimal wave sequencing with minimal re-planning during execution, reducing delivery delays and re-work.
Where Human Expertise Remains Essential
Concierto automates the data-intensive layer of migration assessment — infrastructure discovery, workload classification, cost modeling, and driver analysis. It does not replace the strategic advisory work that partners bring to every engagement.
| Human-Led Activity | Why It Matters |
|---|---|
| Customer stakeholder interviews | Understanding business drivers, organizational priorities, and the political context that shapes migration sequencing and timing |
| Complex custom workload discovery | Application-level analysis for bespoke systems where automated inference has limits (Concierto's roadmap is expanding in this area) |
| Cloud Readiness Assessment | Evaluating people, process, and governance readiness — the organizational dimension of migration that no tool can fully assess |
| Executive sign-off conversations | Final stakeholder alignment requires human judgment, relationship management, and trust built through engagement |
Concierto handles the infrastructure intelligence layer. The partner brings the strategic advisory layer. Together, they deliver a customer experience that is faster, more credible, and more decisive than either could achieve independently.
The Customer Success Pattern: Assessment to Transformation
Post-assessment, Concierto's structured output drives execution success through MAP's Mobilize and Migrate & Modernize phases:
- Wave 1 (Weeks 1–4) — Quick wins and infrastructure refactoring. Immediate rightsizing of over-provisioned instances, decommissioning of redundant workloads, and migration of stateless services. Establishes team confidence and delivers early cost benefits.
- Wave 2 (Weeks 5–8) — Database and replatforming workloads. RDS/Aurora migrations, managed service adoption, and decommissioning of unsupported database platforms. Highest architectural value and risk reduction from this wave.
- Wave 3 (Weeks 9–12) — Complex stateful applications. Containerized workloads, legacy systems requiring custom integration, and business-critical applications with exacting SLA requirements. Conducted with highest levels of automation and testing.
- Post-Migration Optimization — Concierto Manage & Maximize capabilities provide continuous operations, cost optimization, right-sizing based on actual utilization, and architecture modernization recommendations based on cloud-native patterns discovered during migration.
Beyond Assessment: Integration with AWS Transform Migrate Workflows
The value of a Concierto assessment extends beyond the initial discovery phase. The structured output — workload inventory, 7R classifications, rightsized instance profiles, container configurations, and migration wave sequencing — integrates directly with ATX Migrate workflows, giving delivery teams a data-rich foundation from which to execute.
ATX is the unified delivery platform through which AWS and its strategic partners orchestrate end-to-end cloud transformation within the MAP framework. MAP defines the program structure (Assess, Mobilize, and Migrate & Modernize phases) and associated funding; AWS Transform provides the tooling and orchestration layer for execution. Concierto's bi-directional integration with ATX means that the infrastructure intelligence generated during the Assess phase does not sit in a PDF — it flows directly into the Mobilize and Migrate & Modernize phases, informing wave planning, dependency sequencing, and automated migration execution.
Additionally, Concierto's integration with AWS Transform MGN enables the automated replication, cutover planning, and post-migration validation of assessed workloads. This seamless handoff eliminates the manual re-import of discovery data that historically separates assessment and migration phases, reducing re-work and ensuring that the decisions made during discovery are faithfully carried through into execution.
The outcome is a migration program that moves faster, with greater confidence, and with a consistent data thread from the first RVTools export (or cloud API call, or Kubernetes manifest) to the final cutover.
Concierto Private Edition: Data Governance and Sovereignty
For customers and regulated industries requiring on-premises or sovereign-cloud deployment, Concierto Private Edition provides the full platform capabilities — all the agentic AI discovery, assessment, and financial modeling — deployed within the customer's own infrastructure or within government-approved cloud services.
This is particularly valuable for EMEA organizations subject to GDPR, financial services firms subject to FCA/Prudential Regulation Authority (PRA) data residency requirements, and government agencies requiring compliance with local data governance frameworks. Concierto Private Edition eliminates the need to transmit sensitive infrastructure data outside the customer's control, while maintaining the same 96-hour assessment velocity and comprehensive analytics.
Integration with Concierto Intelligence (Aviro) ensures continuous governance, compliance, and cost optimization post-deployment, providing the complete picture of cloud estate health and risk across all dimensions.
Addressing Enterprise Complexity: Hybrid, Multi-Cloud, and Heterogeneous Environments
Modern enterprises rarely operate in single-cloud, single-workload-type environments. Complexity compounds when considering:
- Hybrid deployments — On-premises infrastructure co-existing with existing AWS, Azure, and GCP deployments. Concierto unifies discovery across all platforms, enabling consolidated cost modeling and strategy.
- Data gravity and latency constraints — Some workloads cannot migrate to distant regions due to data residency or latency requirements. Concierto's dependency mapping identifies these constraints and recommends architectures that honor them.
- Legacy middleware complexity — Custom applications built on bespoke middleware (SAP, Oracle, proprietary frameworks) require specialized migration strategies. Concierto's extensive library of workload patterns enables rapid identification of applicable reference architectures.
- Regulatory and compliance fragmentation — Financial services, healthcare, and government sectors operate under jurisdiction-specific compliance regimes. Concierto Private Edition and governance integration enable compliant assessment and execution regardless of regulatory environment.
The AI Advantage: How Agentic Algorithms Outperform Traditional Tools
Concierto Agentic capabilities, built on Amazon Bedrock AgentCore and Claude, deliver fundamentally different capabilities than traditional discovery tools:
- Contextual Understanding — Rather than mechanical data collection, agentic algorithms understand relationships between infrastructure components. A database server connected to three application servers is recognized as a coherent system, enabling intelligent classification and migration planning.
- Anomaly Detection — AI algorithms identify irregular patterns (unusual resource consumption, misconfigurations, security risks) that human analysts might miss or misinterpret. Automatic flagging of suspicious activity prevents overlooked risk from reaching production.
- Rapid Iteration — As new data emerges or priorities shift, Concierto's models re-run assessment queries in minutes, not weeks. Scenario modeling ("what if we retire this application?") becomes interactive rather than time-consuming.
- Natural Language Insights — Assessment output includes narrative summaries, risk assessments, and strategic recommendations in plain English, not just spreadsheets. Executives, architects, and operations teams all understand the findings without interpretation required.
Flexible Engagement Models: SaaS, Private Edition, and Hybrid Deployment
Concierto's deployment flexibility accommodates any organizational requirement:
- SaaS (Concierto Cloud) — Multi-tenant, fully managed platform with no infrastructure requirements. Ideal for organizations confident in cloud-based assessment and without stringent data residency constraints. Fastest time-to-value, minimal operational overhead.
- Concierto Private Edition — Single-tenant deployment within customer data center or sovereign cloud (AWS GovCloud, AWS European Sovereign Cloud, AWS EU regions). All assessment data remains within customer control. Required for GDPR, FCA, government procurement, and other sovereignty-sensitive environments.
- Hybrid Deployment — Concierto OVA discovery appliance deployed on-premises for continuous data collection, with assessment analytics running in SaaS or private cloud backend. Combines operational simplicity with governance requirements.
Regardless of deployment model, assessment velocity and output quality remain consistent. Customers choose deployment based on governance requirements, not capability tradeoffs.
Conclusion
The earliest stage of a cloud migration has historically been the slowest and the most likely to lose momentum. Producing a thorough infrastructure picture and a financially rigorous business case used to take weeks, consuming resources on both sides before a single workload had moved.
Concierto Agentic, built in partnership with AWS on Amazon Bedrock AgentCore, eliminates that delay. A complete discovery analysis and a board-ready business case is delivered in 96 hours from standard customer data.
The conversation shifts from "do we have enough information to decide?" to "what do we prioritise first?"
96-hour Assess
Portfolio discovery, 7R classification, and a directional business case — without agents or weeks of workshops.
Full-estate coverage
On-premises, cloud-to-cloud, PaaS, containers (GKE to EKS), mainframe assessment, and sovereign-cloud options.
Partner advantage
Migrate, Modernize, Manage & Maximize — a faster delivery model that builds confidence, cuts disruption, and creates momentum from week one.
And with native support for cloud-to-cloud migrations, PaaS and managed services, containerized workloads (GKE to EKS), mainframe modernization assessment, and sovereign-cloud deployment options, Concierto now spans the entire spectrum of cloud transformation use cases — from traditional lift-and-shift to cloud-native refactoring, platform modernization, and continuous multi-cloud optimization.
For AWS partners building migration practices, this is not simply a faster tool. It is a differentiated delivery model — one that demonstrates competence, builds customer confidence, accelerates time to value, reduces customer disruption, and creates the conditions for migration success from the very first week of engagement.
The competitive advantage goes to partners who can confidently assess, plan, and execute enterprise cloud migrations at scale. Across Migrate, Modernize, Manage & Maximize, Concierto Agentic is the platform that enables this competitive advantage.
Ready to Transform Your Migration Practice?
Concierto is available through the AWS Marketplace, AWS Transform program, and Trianz partnership ecosystem. Assessment engagement typically completes in 2 weeks from contract signature to final report delivery.
For customers ready to begin their transformation journey, the path is clear: 90-minute kickoff, email-based data handoff, 96 hours of automated analysis, and a board-ready business case. No agents. No infrastructure changes. No weeks of disruption.
Contact a Trianz partner ecosystem member to schedule your Concierto assessment and experience firsthand how Concierto Agentic transforms cloud transformation programs.
CONCIERTO MIGRATE
AI-driven discovery, 7R classification, TCO modeling, and wave planning — delivered in 96 hours.
Explore MIGRATECONCIERTO MODERNIZE
Container discovery, GKE to EKS modernization, PaaS migration, and mainframe assessment pathways.
Explore MODERNIZECONCIERTO MANAGE
24×7 multi-cloud operations, AI-powered automation, and single-pane-of-glass control across AWS, Azure, and GCP.
Explore MANAGECONCIERTO MAXIMIZE
Continuous cost optimization, right-sizing, and architecture modernization recommendations post-migration.
Explore MAXIMIZEConcierto is an AWS Transform Strategic Partner and Independent Software Vendor (ISV) Partner. Developed in partnership with AWS on Amazon Bedrock AgentCore and co-created with leading global enterprises. Sample assessment data from production Concierto CloudIgnite reports (multiple engagements, June–July 2026). All financial figures and performance metrics are system-generated from actual discovered infrastructure data.
For more information:
aws.amazon.com/migration-acceleration-program • concierto.cloud • trianz.com
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