Subscribe to Bits In Glass
Get the latest news and updates directly in your inbox.
LEGACY MODERNIZATION
Turn your legacy debt into your next competitive edge.
Legacy systems consume 60–80% of IT budgets. We lead enterprise banks, insurers, and logistics leaders through high-stakes modernization that cuts risk, unlocks AI readiness, and compresses timelines.
THE ANNUAL COST OF DEFERRAL
$7.3M
The average legacy maintenance cost for a large enterprise (2025)
Budget marked for legacy system maintenance
60–80%vs. 20–40% for innovation
Enterprise technical debt growth rate
~20%compounding annually
COBOL developers retiring by 2030
92%of current workforce
Modernization ROI*
288–362%documented enterprise outcomes
*Kyndryl, 2025
70%
Fortune 500 companies run software 20+ years old
McKinsey, 2025
$57B
Global legacy modernization market by 2030
ResearchAndMarkets, 2025
85%
Success rate with specialist consultants vs. internal-only
Industry surveys, 2024–25
30%
Cycle time improvement after legacy-to-cloud migration
McKinsey, 2024
AI-accelerated migration across the enterprise legacy stack.
Every migration pattern below is delivered with our AI accelerator toolkit, reducing discovery, validation, and cutover timelines at every stage. Real delivery history, real platforms, no learning curve on your program.
Legacy → Pega
Legacy Systems to Pega
Bits In Glass and Pega have a joint go-to-market pattern for migrating mainframe, COBOL, and legacy BPM workloads onto Pega's intelligent automation platform. We extract embedded business logic, re-implement it as transparent case and decisioning models, and validate parity before cutover.
- Mainframe / COBOL business logic extraction
- Legacy BPM re-platforming to Pega
- AI decisioning enablement on Pega Infinity
- Claims, disputes, and onboarding process modernization
MuleSoft to Boomi Migration
Organizations facing MuleSoft licensing pressure or consolidating integration platforms have a proven path to Boomi with Bits In Glass. We map existing API-led integration flows, re-implement them on Boomi's low-latency runtime, and validate end-to-end data parity without disrupting live integrations during the transition.
- Integration inventory and dependency mapping
- Flow-by-flow migration with automated regression testing
- Connector re-implementation and endpoint validation
- Cost and performance benchmarking post-migration
Salesforce to Creatio Migration
Organizations facing Salesforce licensing cost pressure or seeking a more configurable, AI-native CRM have a proven migration path with Bits In Glass. We map Salesforce data models, workflows, and automations to Creatio's no-code architecture, preserving sales, service, and marketing process continuity while dramatically reducing platform cost.
- Object and data model mapping to Creatio entities
- Workflow and automation re-implementation
- Integration re-plumbing and API cutover
- User adoption and change management
Tableau to Power BI Migration
Bits In Glass's AI-assisted migration tooling accelerates Tableau-to-Power BI programs by automating workbook analysis, DAX measure generation, and visual parity validation across dashboard complexity tiers. We handle the full range, from simple operational reports to complex multi-source executive dashboards.
- Workbook inventory and complexity assessment
- AI-accelerated DAX conversion and measure mapping
- Visual and data parity validation framework
- User training and adoption enablement
Ab Initio to Databricks Migration
Ab Initio's proprietary graph-based ETL architecture is one of the most complex migration patterns in enterprise data. Bits In Glass has hands-on experience decomposing Ab Initio graphs, re-implementing pipelines in PySpark and Delta Lake on Databricks, and establishing modern data lakehouse architecture that unlocks AI and analytics at scale.
- Ab Initio graph decomposition and lineage mapping
- PySpark pipeline re-implementation on Databricks
- Delta Lake architecture and governance setup
- Parallel-run validation and cutover sequencing
RPA Fleet Modernization
Organizations with large Blue Prism, UiPath, or Automation Anywhere bot estates face mounting maintenance costs and brittle automation at scale. Bits In Glass rationalizes, re-architects, and where appropriate replaces RPA with AI-native agentic workflows, eliminating fragile screen-scraping in favor of durable, API-driven automation.
- Bot estate audit and ROI rationalization
- Blue Prism / UiPath / AA cross-platform migration
- RPA-to-agentic AI workflow conversion
- Ongoing bot AMS and performance monitoring
AI has changed the economics of legacy transformation — permanently.
For decades, modernization stalled because understanding old code cost more than running it. AI has broken that equation, where discovery, mapping, and validation now run at machine speed. Organizations that act now will compound this advantage while competitors are still developing their business case.
Code discovery & business logic mapping
10×
faster
Overall modernization project costs
up to 50%
lower cost
Time to validated production-ready migration
Months
COMPRESSED
Why Modernize Now
Legacy systems are no longer neutral — they're a strategic liability.
Enterprise boards have moved legacy modernization from the IT backlog to the C-suite agenda. The convergence of AI mandates, regulatory pressure, and a vanishing talent pool means the window to act on favorable terms is closing.
Security Exposure
Unsupported legacy software no longer receives patches. Financial-services breaches now average $6.08M, with vulnerability exploitation up 180% year over year.
IBM Cost of a Data Breach Report, 2024
AI Readiness Blockers
Monolithic, batch-processing cores can't meet the real-time, API-first demands of modern AI, and 42% of critical business logic is at risk when key staff leave.
Gartner, 2025
Regulatory Deadlines
The EU Instant Payments Regulation requires euro-area providers to receive instant payments (Jan 2025) and send them (Apr 2027), beyond most legacy cores.
EU Regulation (EU) 2024/886
Talent Cliff
Only 5% of developers have COBOL skills today, and 92% of them retire by 2030, leaving critical systems with no institutional knowledge or maintainability path.
Gartner estimate, 2025
74%
“If banks continue with their current operations without modernisation, their global cost-to-income ratio could rise to approximately 74% by 2030, compared to 63% in 2023.”
— Boston Consulting Group3.4×
“Actual legacy TCO runs 3.4× higher than initial estimates. A mid-sized European bank budgeting £2M per year for core system costs found the true figure was £6.8M once compliance overhead, integration friction, and innovation drag were included.”
Deloitte Banking Survey, 2024PARTNER WITH BITS IN GLASS
Built for the complexity of legacy, not just the simplicity of greenfield.
Legacy transformation is a different discipline from a new build. It demands pattern recognition, risk tolerance, and tooling that most consultancies don't carry. Here's what makes Bits In Glass different.
Proven Legacy Transformation Capability
Real delivery history across some of the most complex legacy programs in regulated industries, not theoretical frameworks. We've navigated the undocumented business rules, the brittle integrations, and the political constraints that derail programs run by teams without this experience.
AI-Powered Migration Tooling
Ready-to-use tools for AI-led code analysis, automated business logic extraction, QA parity validation, and regression testing, built specifically for legacy migration programs. These assets compress the two most expensive phases of any modernization: discovery and validation.
A Unique Legacy Transformation SDLC
Standard agile and waterfall methodologies were not designed for systems where the code is the documentation. Bits In Glass's Legacy Transformation SDLC is discovery-first, risk-sequenced, and parity-validated at every stage. A fundamentally different operating model for programs where failure has consequences.
Deep Modern Platform Experience & Key AI Partnerships
Hands-on certified delivery capability across Pega, Boomi, Databricks, Snowflake, AWS, and Salesforce, combined with strategic AI partnerships that give clients early access to capabilities the broader market is still catching up to.
We build a structured path from legacy burden to AI-ready platform.
Bits In Glass's legacy transformation framework is built on two decades of enterprise delivery across enterprise banks, global insurers, and complex infrastructure programs. We don't do lift-and-shift. We re-architect for the platform your business needs to be in five years.
01
Discover & Inventory
AI-assisted logic extraction, dependency mapping, and debt quantification — the system's tacit knowledge made explicit before a line of code changes.
AI-Accelerated Discovery02
Architect & Sequence
Risk-stratified migration waves that deliver value early, preserve continuity, and avoid the big-bang failure modes that derail monolithic projects.
Proven Migration Patterns03
Build & Integrate
Hands-on delivery on your target platform with embedded QA validating business-logic parity every sprint. No black-box hand-offs.
Delivery + QA Automation04
Validate & Go-Live
Parallel-run testing, automated regression, and phased cutover with continuous AI parity checks — go-live becomes a milestone, not a risk event.
Zero-Defect Cutover05
Operate & Evolve
Managed services, ongoing AMS support, and a clear path to activating AI and agentic capabilities on the modernized foundation. Transformation begins at go-live.
AMS + AI Enablement06
Measure & Compound
ROI dashboards, cycle-time gains, and unlocked innovation capacity — your actual outcomes documented so the next decision is even easier to make.
Value RealizationReady to build your legacy modernization business case?
Bits In Glass legacy modernization assessment surfaces your true TCO, maps your transformation sequence, and produces a board-ready investment business case, typically within 4–6 weeks.
