AI-Powered Legacy Migration Company - Modernise Your Legacy Systems Without Disruption, Data Loss, or Downtime 

Legacy systems cost US businesses $2.4 trillion per year in maintenance, missed opportunities, and technical debt. Our AI-powered migration framework moves your data, applications, and infrastructure to modern platforms - with zero data loss, minimal downtime, and AI acceleration that cuts migration time by 40–60%. 

  •  Projects start from $15,000+
  •  Only 5 strategy call slots available this week – Next slot: Friday
AI-Accelerated Migration with Fixed Price
AI-Accelerated Migration with Fixed Price
Zero Data Loss - Verified by Automated Testing
Zero Data Loss - Verified by Automated Testing
Rollback Plan Included in Every Engagement
Rollback Plan Included in Every Engagement
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David M.

CTO, Mid-Market Manufacturing (USA) 

“Protocloud migrated our 18-year-old on-premise Oracle ERP to AWS with AI-assisted schema mapping. What our internal team estimated would take 18 months was completed in 7 – with zero production incidents.”

Trusted by 800+ Organisations for Mission-Critical System Migrations 

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Is Your Legacy System Holding Your Business Hostage While Competitors Run Circles Around You? 

1.

Crippling Technical Debt That Prevents Innovation 

Every new feature your business needs requires weeks of workarounds in a system that was never designed for them. Your developers spend 70% of their time maintaining legacy code and 30% building new value – and it should be the other way around.

2.

Security Vulnerabilities and Compliance Exposure 

Legacy systems running on end-of-life operating systems and unsupported databases are unpatched, unencrypted, and non-compliant with GDPR, HIPAA, SOC 2, and PCI-DSS. One breach or audit finding can cost 10–100× the cost of modernisation.

3.

Rising Maintenance Costs With Declining Capability 

Legacy system maintenance typically costs 60–80% of total IT budget while delivering diminishing value. Meanwhile, cloud-native equivalents deliver the same capability at 30–50% of the cost with 10× the agility and scale.

4.

Migration Paralysis - Fear of What Could Go Wrong

Failed migrations make headlines. Most businesses know they need to migrate but are paralysed by the risk. Without a structured, AI-accelerated approach with automated validation and rollback capabilities, the fear is justified.

Protocloud’s AI-powered migration framework eliminates migration paralysis with automated discovery, AI-assisted conversion, and zero-downtime cutover strategies – all at a fixed price with a rollback guarantee.

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Protocloud: The Migration Partner That Uses AI to Accelerate Speed, Eliminate Risk, and Guarantee Data Integrity 

Most migration projects fail because they rely on manual analysis of undocumented legacy systems, manual data mapping, and big-bang cutovers. Protocloud uses AI-powered code analysis, automated schema mapping, intelligent data transformation, and parallel-run validation to eliminate the top five causes of migration failure – before they happen.

sell icon What typical migration looks like:

"We'll manually map your database, rewrite the application code, and migrate everything in one weekend." - (Then production breaks at 2am, the rollback fails, and you spend three months firefighting.) "

sell icon The Protocloud AI migration approach:

"We use AI to automatically discover dependencies, map schemas, convert code, and validate data integrity - running parallel systems until every byte is verified. Zero-downtime cutover with automated rollback available in under 15 minutes. "

Which AI-Powered Migration Service Does Your Business Need? 

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Cloud Migration (On-Premise to Cloud)

AI-assisted lift-and-shift, re-platforming, and re-architecting of legacy on-premise applications to AWS, Azure, and GCP – with automated dependency discovery and workload right-sizing.

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Database Migration & Modernisation

Schema mapping, data transformation, and validation for Oracle→PostgreSQL,
MSSQL→Aurora, MongoDB→DynamoDB, and mainframe database migrations – with zero data loss guarantee.

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Application Modernisation & Re-platforming

Transform monolithic legacy applications into modern microservices or containerised workloads – AI-assisted code analysis identifies refactoring opportunities and generates migration roadmaps.

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AI-Augmented Code Conversion

Automated legacy code conversion (COBOL→Java, VB6→.NET, Classic ASP→Node.js) using LLM-powered tools that understand business logic – reducing manual rewrite effort by 60–80%.

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ERP & CRM Migration

Structured migration from legacy ERP/CRM platforms (SAP ECC, Dynamics AX, Siebel) to modern SaaS platforms – with data mapping, custom field migration, and user acceptance testing.

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Data Warehouse Migration

Migrate from on-premise data warehouses (Teradata, Netezza, IBM Db2) to Snowflake, BigQuery, or Redshift – with AI-powered SQL translation and query performance validation.

Best Suited For:

Honest Advice: Not Every Legacy System Needs a Full Rip-and-Replace - We'll Tell You Which Approach Fits 

AI-powered migration tools accelerate the process – but they don’t eliminate the need for careful scoping, parallel-run validation, and disciplined change management. We always recommend the migration strategy that minimises business risk, not the one that maximises our contract value.

When AI migration tools add most value:

  • Complex schema mapping with 500+ tables
  • Legacy code with undocumented business logic
  • Large-scale data validation (billions of records)
  • SQL dialect conversion at scale
  • Dependency discovery in undocumented monoliths

When manual migration is more appropriate:

  • Small databases (<50 tables, <1M records)
  • Well-documented, simple CRUD applications
  • Migrations with clear 1:1 schema mapping
  • Greenfield rewrites where business logic is known
  • Systems with limited integration points

"We won't sell you AI migration tooling for a 3-table database. We'll recommend the simplest approach that gets you live safely and on budget." 

AI Capabilities That Accelerate Migration and Eliminate Risk 

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AI Dependency Discovery

Automated static and dynamic analysis of legacy codebases to map all dependencies, integrations, API calls, and data flows – producing a complete migration blueprint in days, not weeks.

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Intelligent Schema Mapping

ML-powered schema mapping that automatically maps source tables, columns, and relationships to target schemas – handling 85–95% of mappings automatically, leaving only edge cases for manual review.

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Legacy Code Conversion

LLM-assisted COBOL, VB6, and Classic ASP code analysis and conversion – understanding business logic context to produce maintainable modern code, not just syntactic translation.

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Automated Data Validation

Parallel-run data integrity testing comparing source and target datasets record-by-record across all tables – generating reconciliation reports and flagging discrepancies automatically.

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Migration Risk Scoring

ML models that score each component, table, and integration on migration risk – prioritising high-risk elements for manual review and sequencing the migration to minimise cumulative risk.

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Zero-Downtime Cutover Orchestration

Automated change data capture (CDC), dual-write patterns, and traffic routing scripts that enable production cutover in under 4 hours with automated rollback available at every stage.

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Performance Benchmarking

Automated performance comparison between legacy and target systems – load testing at production volumes before cutover to ensure the new system handles your peak traffic.

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Security & Compliance Validation

Automated scanning of target environments against GDPR, HIPAA, SOC 2, and PCI-DSS controls – producing compliance readiness reports before go-live.

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Automated SQL Translation

LLM-powered SQL dialect conversion from Oracle PL/SQL, TSQL, Teradata SQL, and mainframe SQL to PostgreSQL, MySQL, BigQuery, and Snowflake – with semantic preservation verification.

Why AI-Powered Migration Delivers Better Outcomes Than Manual Approaches 

40–60% Faster

40–60% Faster

AI-powered schema mapping, dependency discovery, and code conversion reduce manual analysis time by 40–60% – cutting 18-month migrations to 7–10 months.

Zero Data Loss

Zero Data Loss

Automated record-by-record validation across all tables catches every data discrepancy before go-live – achieving 100% data integrity verification that manual spot-checking cannot match.

Lower Total Cost

Lower Total Cost

AI automation replaces hundreds of manual analysis hours. Combined with smaller migration teams and faster timelines, total project cost is 30–50% lower than traditional manual migration approaches.

Risk Reduction

Risk Reduction

Automated rollback, parallel-run validation, and risk scoring mean every decision is backed by data – reducing production incidents by 70–85% vs. big-bang manual migrations.

Full Visibility

Full Visibility

Real-time migration dashboards show progress, data volumes migrated, validation pass rates, and outstanding risks – giving executives and project managers instant status without status meetings.

Modern Foundation

Modern Foundation

Post-migration, your system is containerised, monitored, auto-scaled, and ready for AI/ML integration – a platform for the next decade, not just a like-for-like replacement.

  • 2500+

    Projects Delivered 

  • 800+

    Happy Clients 

  • 11+

    Years Experience 

  • 100%

    Data Integrity Rate 

  • 15+

    Countries Served

FREE AI Migration Strategy Session - 30 Minutes, No Pitch, No Obligation 

Walk away with a migration complexity assessment, recommended approach, timeline estimate, and risk register – even if you don’t hire us.

Complete AI-Powered Migration Services - Assessment to Post-Migration Support 

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Legacy System Assessment & Migration Roadmap

Camera selection, lighting design, hardware sizing, latency budgeting, and deployment architecture – we design the full system before training a single model.

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Cloud Infrastructure Migration

Lift-and-shift, re-platform, and re-architect workloads to AWS, Azure, and GCP – with workload sizing, cost optimisation, and auto-scaling configuration included.

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Database Migration & Validation

Schema conversion, data transformation, and automated record-by-record validation for all major database migrations – with rollback capability at every stage.

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Application Modernisation

Monolith-to-microservices decomposition, containerisation (Docker/Kubernetes), API gateway implementation, and CI/CD pipeline setup for modernised applications.

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AI-Assisted Code Conversion

LLM-powered legacy code analysis and semi-automated conversion with business logic preservation verification and unit test generation for the converted codebase.

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ERP/CRM Data Migration

Structured data migration with field mapping, transformation logic, data cleansing, and UAT support for SAP, Oracle, Dynamics, Salesforce, and HubSpot migrations.

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Security & Compliance Hardening

Post-migration security configuration, IAM policy setup, encryption implementation, and compliance control documentation for GDPR, HIPAA, SOC 2, and PCI-DSS.

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Performance Optimisation & Monitoring

Post-migration query optimisation, caching configuration, APM setup (Datadog, New Relic), and cost optimisation reviews – ensuring the new system outperforms the old one.

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Data Warehouse & Analytics Migration

Legacy DW to Snowflake, BigQuery, or Redshift – with SQL translation, ETL pipeline conversion, and report/dashboard migration for BI tools.

From Legacy Assessment to Production Go-Live in 5 Structured Steps 

App Schools 1

Discovery & Migration Assessment 

AI-powered automated discovery of your legacy system: codebase analysis, database schema profiling, dependency mapping, integration inventory, and data volume assessment. Output: migration blueprint, risk register, and fixed-price proposal.

App Schools 2

Migration Architecture & Tooling Setup 

Design target architecture, configure AI migration tooling (schema converters, data pipelines, code conversion tools), set up parallel environments, and establish monitoring and rollback infrastructure.

App Schools 3

Phased Migration with Parallel Validation 

Migrate components in risk-prioritised phases. Each phase: migrate → validate → compare → approve. AI-powered automated testing validates data integrity and functional equivalence before any phase is marked complete.

App Schools 4

UAT, Performance Testing & Cutover Rehearsal

Full user acceptance testing, load testing at production volumes, cutover rehearsal with rollback testing, and go/no-go checklist sign-off. We don’t cut over until you’re confident.

App Schools 5

Go-Live & Post-Migration Stabilisation

Zero-downtime cutover with automated rollback on standby. 3 months of post-migration monitoring, performance tuning, incident response, and optimisation – ensuring the new system runs better than the old one.

AI-Powered Migration vs. Traditional Manual Migration: The Difference in Practice

Traditional Manual Migration Custom Vision Models (Protocloud)
Timeline: 18–36 months. Method: Manual analysis of undocumented legacy code, manual schema mapping, big-bang or "lift-and-shift" with minimal validation. Risk: High - failed cutovers, data loss, months of post-migration firefighting are common. Timeline: 7–16 months. Method: AI-automated discovery, schema mapping, code conversion, and record-by-record validation. Phased migration with parallel runs and automated rollback - zero-downtime cutover guaranteed.
Cost: Appears cheaper upfront, but post-migration rework typically adds 30–80% to the original estimate. Business disruption costs are rarely accounted for in the original budget. Cost: Fixed price, agreed before project start. AI automation reduces manual hours by 40–60%, lowering total cost while delivering a more thoroughly validated migration. No post-migration firefighting budget required.

AI Migration Technology Stack - Discovery to Production 

Real AI Migration Results for Real Businesses 

Oracle ERP to AWS Cloud Migration (USA)

Oracle ERP to AWS Cloud Migration (USA)

Client:
Mid-size manufacturer, 18-year-old on-premise Oracle ERP, 340 tables, 12 integrations

AI Tools Used:
AWS Schema Conversion Tool + custom LLM schema mapper + automated data validation framework across all 340 tables

Result:
Migration completed in 7 months (vs. 18-month internal estimate) · Zero data loss across 2.1B records · 0 production incidents post-cutover · $1.4M annual infrastructure cost savings achieved

View Case Study
Teradata Data Warehouse to Snowflake (UK)

Teradata Data Warehouse to Snowflake (UK)

Client:
Financial services firm, 850 TB data warehouse, 2,200+ stored procedures, 47 Power BI reports

AI Tools Used:
Automated SQL translation engine converting Teradata SQL to Snowflake SQL + query performance validation + BI report remapping

Result:
Migration in 9 months · 100% SQL translation verified · Query performance 2.3× faster in Snowflake · Total storage and compute cost down 58% · Zero report downtime during migration

View Case Study
Monolith to Microservices Migration (USA) 

Monolith to Microservices Migration (USA) 

Client:
eCommerce SaaS platform, 800K LOC PHP monolith, 120K daily active users

AI Tools Used:
AI-assisted dependency graph analysis identifying 23 domain boundaries + automated API contract generation + blue-green deployment orchestration

Result:
12-month phased decomposition with zero user-facing incidents · Deployment frequency increased from monthly to daily · Cloud hosting cost reduced 44% · Feature development velocity up 3×

View Case Study
Client Video Testimonial Play
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I developed an AI-powered mobile application at Protocloud Technologies that focuses on delivering smart, user-centric solutions. The project strengthened my ability to integrate AI capabilities with intuitive UI/UX design. It also enhanced my problem-solving skills while working on real-world challenges. Overall, it was a valuable experience that improved both my technical expertise and creative thinking.

Jordy Carlos
Ultimate Happy Hours

AI-Powered Migration Across Industries 

Retail & eCommerce

Retail & eCommerce

Legacy POS and OMS to cloud-native platforms, order management system migrations, and data warehouse modernisation for unified customer intelligence.

Healthcare & Life Sciences

Healthcare & Life Sciences

HIPAA-compliant EHR and data warehouse migrations – with PHI encryption, audit logging, and clinical validation protocols built into every phase.

Restaurant & Hospitality

Restaurant & Hospitality

POS system migration, reservation platform modernisation, loyalty programme database migration, and kitchen display system cloud enablement.

Travel & Logistics

Travel & Logistics

Reservation system modernisation, real-time tracking data migration, and GDS integration re-platforming for airlines, hotels, and freight companies.

Manufacturing & Industrial

Manufacturing & Industrial

ERP modernisation, SCADA system integration, IoT data platform migration, and MES cloud enablement – with zero production disruption during migration.

Finance & Banking

Finance & Banking

Core banking system modernisation, regulatory reporting database migration, and trading system re-platforming – with financial data integrity guarantees.

Real Estate & PropTech

Real Estate & PropTech

Property management system migrations, MLS database modernisation, and legacy CRM to Salesforce data migrations with full history preservation.

Education & EdTech

Education & EdTech

SIS and LMS platform migrations, student data consolidation, learning analytics modernisation, and legacy academic system cloud enablement.

Logistics & Supply Chain

Logistics & Supply Chain

TMS and WMS modernisation, EDI system migration, fleet management system re-platforming, and supply chain analytics data warehouse migration.

WHY CHOOSE PROTOCLOUD

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AI-First Migration Approach

We use AI tools for discovery, schema mapping, code conversion, and validation – achieving 40–60% faster migrations than manual approaches with better documented outcomes.

Phased Risk Management

We never do big-bang migrations. Every component is migrated, validated, and approved in phases – with rollback available at every step.

Zero Data Loss Guarantee

Automated record-by-record validation across every table before cutover. We don’t go live until data integrity is 100% verified.

Fixed Price, No Surprises

Complete migration scope, timeline, and price committed in writing before project start. Discovery phase findings are factored into the fixed quote.

USA/UK Compliance Expertise

Deep understanding of GDPR, HIPAA, SOC 2, PCI-DSS, and FCA requirements – compliance is designed in, not bolted on.

3 Months Post-Migration Support 

Incident response, performance tuning, and optimisation included for 3 months post-go-live. You’re not left alone in a new environment.

"Businesses don't want migrations - they want modern systems that cost less, scale faster, and integrate with AI." 

Why Protocloud vs. Any Other Migration Company? 

Feature
Typical Migration Agency / SI 
Protocloud Technologies
Migration Approach 
❌ Manual analysis, big-bang cutover 
✅ AI-automated discovery, phased migration 
Data Validation 
❌ Spot-checking samples only 
✅ 100% record-by-record automated verification 
Fixed Price 
❌ Time-and-materials, scope expands 
✅ Fixed scope, timeline, and price always 
Rollback Plan 
❌ We'll figure it out if needed
✅ Automated rollback tested before go-live 
Post-Migration Support 
❌ Project ends at go-live 
✅ 3 months monitoring and tuning included 
Compliance 
❌ Compliance reviewed after migration 
✅ GDPR/HIPAA/SOC 2 designed in from day one 
USA/UK Expertise 
❌ Generic offshore delivery 
✅ Deep USA/UK market and compliance expertise 

Your Modern Platform Is the Foundation - Now Add AI Capabilities

AI/ML Layer Integration 

AI/ML Layer Integration 

Post-migration, we connect your clean, cloud-native data to ML pipelines – enabling predictive analytics, intelligent automation, and AI features that were impossible on your legacy stack.

System Integration Hub 

System Integration Hub 

API gateway setup, CRM/ERP integration, and workflow automation (Zapier, Make, n8n) connecting your newly migrated systems to the rest of your business technology stack.

Observability & Intelligence

Observability & Intelligence

Datadog/New Relic APM, cost management dashboards, and business intelligence on top of your modernised data platform – turning your new infrastructure into a competitive advantage.

Does Your Migration Project Qualify for a Free Strategy Session? 

QUESTION 1

What's your estimated budget for this migration? 

  • Under $10,000
  • $10K–$50K
  • $50K–$150K
  • $150K+

QUESTION 2

What type of system are you migrating?

  • Database / Data Warehouse
  • Application / ERP
  • Infrastructure / Cloud
  • Data + Application
  • Not sure

QUESTION 3

What's your timeline pressure?

  • Urgent (EOL / security risk)
  • 6–12 months
  • 12–24 months
  • Planning stage

Your project qualifies! Book your free 30-min Migration Strategy Session

No commitment required. Walk away with a complexity assessment, recommended approach, and rough timeline – even if you don’t hire us.

From First Contact to Go-Live - A Clear 5-Step Journey 

1.

Instant Confirmation (0–2 mins) 

Auto-response confirms your enquiry with a calendar link for a migration strategy call – plus a questionnaire to capture your legacy system details before the call.

Within
Automated 
2.

Human Response (Within 2 Hours) 

A senior migration architect (not a sales rep) reviews your questionnaire and responds with specific questions about your system complexity, integration landscape, and compliance requirements.

Within
Business Hours 
3.

Migration Strategy Call (Day 1–2)

30-minute discovery session: system inventory, integration map, data volumes, compliance requirements, and timeline constraints – with screen-shared examples of similar completed migrations.

Within
30 Minutes 
4.

Migration Assessment Proposal (Within 24 Hours) 

Written proposal for Phase 1 (discovery assessment): scope, timeline, deliverables, and fixed price – so you can see the full picture before committing to the migration itself.

Within
After the Call 
5.

Fixed Migration Quote (Within 48 Hours of Phase 1 Completion) 

After Phase 1, you receive a detailed Phase 2 migration proposal with complete scope, risk register, timeline, acceptance criteria, and NDA – ready to kick off immediately.

Within
Final Step 

"Your legacy migration is step one. The AI-powered capabilities you build on top of your new platform are step two - and that's where the real competitive advantage lives." 

FREE AI Migration Strategy Session - Worth $499, Yours Free 

Zero Risk

No contract required

Zero Obligation

Plan is yours – hire us or not

Zero Pressure

One follow-up – your decision

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    Frequently Asked Questions About AI-Powered Migration 

    Here are answers to the most common questions that we get

    Migration projects at Protocloud are priced in two phases. Phase 1 (discovery assessment) typically costs $5,000–$15,000 and produces the full migration blueprint. Phase 2 (the migration itself) is priced based on Phase 1 findings: focused database migrations start from $15,000; full ERP or application migrations typically cost $50,000–$150,000+; enterprise-scale multi-system migrations run $150,000–$500,000+. Every project has a fixed price committed in writing before the migration begins. FAQ Schema Note: Apply FAQ schema (application/ld+json) for Google rich results. 

    A focused database migration (single database, well-understood schema) takes 8–14 weeks. Mid-complexity ERP or application migrations typically take 5–9 months. Enterprise-scale multi-system migrations with significant data volumes and complex integrations take 12–24 months. AI-powered automation reduces these timelines by 40–60% vs. traditional manual approaches. 

    Yes. We run automated record-by-record validation comparing source and target datasets across every table before cutover. We also run parallel systems simultaneously until validation is 100% complete. We have never had a data loss incident in any migration we have delivered.

    This is the most common scenario. Our AI-powered discovery tools generate documentation automatically – codebase dependency maps, database schema diagrams, integration inventories, and data flow diagrams – directly from the legacy system. Many of our clients end up with better documentation of their legacy system than existed before the migration started. 

    Yes. We handle cloud-to-cloud migrations as well as on-premise to cloud. The approach is similar: automated discovery, phased data migration with CDC, parallel-run validation, and zero-downtime cutover. Cloud-to-cloud migrations are often simpler because the infrastructure is already containerised and monitored.

    3 months of post-migration monitoring, incident response, and performance tuning are included in every migration project. We have automated alerting, rollback procedures, and escalation paths defined and tested before go-live. Post-migration incidents attributable to our migration are fixed at no additional cost within the 3-month support period. 

    We use parallel-run architecture – your legacy system stays live throughout the migration and both systems run simultaneously until every byte is verified. We don’t cut over until automated testing confirms 100% data integrity and functional equivalence. Rollback is available within 15 minutes of cutover if needed. 

    🛡 Guarantee: If any production incident occurs within 30 days of cutover that is attributable to our migration, we fix it at no additional cost with priority SLA response. 

    That’s exactly where our AI discovery tools add value. Our static and dynamic analysis tools map every code path, database query, API call, and integration automatically – often producing better documentation of your legacy system than exists internally. Discovery is the first phase of every engagement. 

    🛡 Guarantee: We produce a written dependency map and migration risk register as the first deliverable. If we discover complexity that changes the scope, we report it transparently before proceeding. 

    We price in two phases. Phase 1 is a fixed-price discovery (typically $5,000–$15,000) that produces the full migration blueprint and risk register. Phase 2 is the migration itself – priced as a fixed quote based on the Phase 1 findings. You never commit to the full migration price without knowing what we found. 

    🛡 Guarantee: Phase 1 discovery deliverables (blueprint, risk register, fixed-price proposal) are delivered within the agreed timeline and budget, regardless of discovery complexity. 

    We include all integrations in our discovery phase. Each integration is mapped, tested, and migrated or replaced as part of the project scope. We produce a written integration inventory in Phase 1 – nothing is left out of the migration plan. 

    🛡 Guarantee: All integrations identified in Phase 1 discovery are included in the Phase 2 fixed price. No integration surprises. 

    Data handling during migration follows your strictest compliance requirements (GDPR, HIPAA, SOC 2). We use encrypted channels, temporary staging environments with same-level access controls, and data masking in non-production environments. Compliance posture is documented at every phase. 

    🛡 Guarantee: We deliver a written compliance verification report for your target environment before go-live, including encryption, access control, and audit logging configuration documentation. 

    Talk to us and get your project moving!

    Let’s discuss your project with our expert and let us know your project idea to turn it into amazing digital product.

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