Concierto: Trusted by Leading Organizations Across Industries
80+ enterprises onboarded in last 6 months with multi-region deployments at global scale
Every phase connected.
No re-keying. No context loss.
Discovery informs assessment. Assessment informs planning. Planning informs execution. Every phase shares the same inventory, assumptions, classifications, and dependency maps — eliminating the re-keying, reconciliation, and context loss that define fragmented, multi-tool programs.
Five modules. One agent. Zero gaps.
Each module is an agent-driven workflow on the shared data model. The user states intent in chat; the supervisor agent plans, delegates to sub-agents, confirms assumptions, and runs the deterministic engine. Results persist forward — no phase re-discovers or reconciles what the prior phase established.
Instant Assess & TCO
From file upload to a versioned, downloadable cost case in hours. A validation engine scores each record on completeness, consistency, and migration candidacy before any costing runs.
- Auto-detects RVTools, CMDB, Nutanix, AWS MPA, Azure Migrate, GCP Migrate, and vROps files
- Change any assumption conversationally — pricing model, region, horizon, environment split — with instant recalculation
- VMware Broadcom uplift simulator and EDP/PPA discount modeling
- One-click PDF, PowerPoint, and Excel export
Discovery
Three complementary discovery methods feeding one connected inventory — no manual reconciliation, no agent deployment required on target hosts.
- Agentless IP-based scanning via proxy server
- File-based ingestion and cloud API discovery across AWS, Azure, and GCP
- Layered L1 → L2 → L3 depth: OS, databases, app servers, cloud resources
- Schedulable runs with auditable per-launch logs
Detailed Assessment
Per-VM 7-R strategy, right-sizing with optional utilization history, dependency topology, and OS lifecycle risk — with governed approval before any migration begins.
- Editable per-VM migration decisions via conversational agent
- CAB / Executive / Technical approver workflow with full audit trail
- Consolidated steady-state TCO run-rate per VM and in aggregate
- One-click PDF, Excel, and PowerPoint export
Mobilize
Scope, environments, and VM inventory carried forward automatically from the approved assessment. Sub-agents drive wave planning, landing zones, and move group configuration.
- Consolidated landing zone setup and reusable target blueprint creation
- Per-VM credentials and auto-populated, overridable target instance types
- Pre-requisite validation gate — staging server first, then each source VM
- Plan locks on CAB submission for an auditable baseline
Migration Execution
On-demand or scheduled runs consuming the approved plan end-to-end. Source servers stay live while incremental data syncs to the target cloud.
- Live stage monitoring: preparation → template creation → provisioning → restore
- Per-VM failure re-trigger without restarting the full run
- Near-zero-downtime cutover at all-group, group, or VM granularity
- Post-cutover staging cleanup with migration logs retained
The traditional sequence spans months
across disconnected tools
The standard AWS migration journey is a manual, consultant-led sequence — Discover, Interview, Analyze, Report, Plan, Execute — where each phase re-keys and reconciles the last. Concierto Agentic Migrate turns months of fragmented effort into hours of guided, conversational work.
| Capability | Traditional | Agentic Migrate |
|---|---|---|
| Assessment duration | 4–6 weeks | Hours |
| Specialist required | Always | Not required |
| Agent install on hosts | Typically required | Never required |
| Data re-keyed between phases | Every phase | Zero — shared data model |
| Multi-cloud coverage | Separate tools per cloud | AWS · Azure · GCP unified |
| Audit trail | Manual documentation | Immutable lineage |
Agent assumes and confirms — not interrogates
The supervisor agent sets sensible defaults and confirms them rather than collecting every input upfront. Finance teams, IT generalists, and business owners can drive analysis that previously required specialist consultants.
Deterministic engine, not improvised AI
Every sizing, classification, and cost computation runs through a deterministic engine — never model-generated. Every figure traces back to validated data and transparent assumptions. The agent governs the flow; the engine guarantees the numbers.
Governed by design
Agents never touch the backend directly. Tool requests route through a governance layer enforcing tenant, user, permission, and scope. No plan reaches execution until readiness is proven and stakeholders have signed off.
Resumable, checkpointed workflows
Long-running agentic flows are checkpointed at activation and post-execution. Any run can be resumed or replayed without restarting the analysis from the beginning.
Ready to accelerate
your cloud adoption?
Connect with the Trianz team to see Concierto Agentic Migrate run a live assessment on your estate — across AWS, Azure, and Google Cloud.