Lift-and-shift replicates structural problems. Post-migration cost overruns and inability to retire legacy systems prevent real transformation.
Aging subject-matter experts create single points of failure. Legacy skill sets are scarce, expensive, and retiring. Knowledge silos block evolution.
Without modern, governed data infrastructure, enterprises can't deploy AI at scale. Competitors with cloud-native foundations move faster and decide smarter.
MigWiser 2.0 automates assessment, code conversion, and risk identification. Intelligent workload analysis with self-learning algorithms across AWS, Azure, GCP, Databricks, Snowflake, mainframe, and midrange.
Unified, trusted data for humans and AI agents. Governance, lineage, and quality built in from day one — not bolted on after migration.
Continuous cost management from migration through steady-state. Right-sizing, reserved capacity planning, and automated spend governance to hit 30–60% TCO targets.
Evaluate current state, identify technical debt and risks, and produce a phased transformation roadmap with cost and timeline estimates.
Controlled proof-of-concept, then full AI-accelerated migration. Governance setup, data product creation, and team enablement.
Post-migration optimization, FinOps governance, and platform evolution. Seamless handoff to Managed Data & AI for ongoing operations.
MigWiser 2.0 is foundational — not bolt-on. Intelligent workload analysis, automated refactoring, and predictive risk identification built into every engagement.
AWS, Azure, GCP. Databricks, Snowflake, native cloud. We recommend what fits your architecture — not what pays us the highest margin.
Referenceable clients across Financial Services, Healthcare, Manufacturing, Telecom, and Retail with quantified, auditable results.
From legacy to AI-ready in months. Let's build your transformation roadmap.
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