Pertama Partners

AI-Assisted Cloud Migration Planning

Use AI to assess on-prem infrastructure, recommend cloud architecture, and plan migration with minimal risk.

AdvancedAI Strategy & Roadmapping2-6 months

Transformation

Before & After AI

What this workflow looks like before and after transformation

Before

Planning cloud migration is overwhelming. No clear inventory of on-prem systems. Unclear which workloads to migrate first. No cost estimates. Migration risks unknown. Teams paralyzed by complexity.

After

AI analyzes on-prem infrastructure, maps dependencies, recommends cloud architecture (lift-and-shift vs. re-architect), estimates costs, and generates phased migration plan. Migration confidence increases. Timeline and budget predictable.

Implementation

Step-by-Step Guide

Follow these steps to implement this AI workflow

1

Inventory Existing Infrastructure

3 weeks

Use AI-powered discovery tools: AWS Application Discovery Service, Azure Migrate, CloudScape. Scan network to identify: servers, databases, applications, dependencies, traffic patterns. Generate complete infrastructure map.

2

Assess Migration Strategies with AI

4 weeks

AI analyzes each workload and recommends strategy: Rehost (lift-and-shift), Replatform (optimize for cloud), Refactor (rebuild cloud-native), Retire (decommission), Retain (keep on-prem). Scores by effort, risk, and TCO savings.

3

Generate Cloud Architecture Recommendations

6 weeks

AI suggests target architecture: serverless vs. containers vs. VMs, database choices (RDS, DynamoDB, Aurora), networking (VPC setup), security (IAM, encryption). Generates IaC templates (Terraform, CloudFormation) as starting point.

4

Build Phased Migration Plan

4 weeks

AI prioritizes migration waves: start with low-risk, low-dependency workloads. Identifies blockers and prerequisites. Estimates timeline and costs for each wave. Suggests parallel vs. sequential migrations. Flags high-risk areas for extra validation.

5

Simulate & Validate

6 weeks

Use AI to simulate migration: test failover scenarios, estimate downtime, identify rollback points. Run pilot migrations in isolated environments. Validate cost estimates against actual usage. Refine plan based on learnings.

Tools Required

AWS Migration Hub or Azure MigrateAI migration planning tools (Cloudamize, Turbonomic)Infrastructure as Code (Terraform, Pulumi)Cost estimation tools (AWS Pricing Calculator)

Expected Outcomes

Reduce migration planning time by 60% (6 months → 2 months)

Identify 30% cost savings opportunities vs. manual planning

Reduce migration risk through dependency mapping and phasing

Generate IaC templates automatically, saving 100+ hours

Build migration confidence through simulation and validation

Solutions

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AI Pilot Implementation

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Frequently Asked Questions

Start with smaller, isolated workloads (dev environments, internal tools). Use AI for initial discovery, but involve architects for final decisions. Treat AI as a research assistant, not a replacement for expertise.

Typically within 20-30% for initial estimates. Accuracy improves with: better usage data, realistic traffic projections, accounting for reserved instances. Always add 30% buffer for unknowns. Run pilots to validate before full migration.

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