You own revenue‑critical legacy systems
You’re responsible for monoliths or aging platforms that are hard to change but too important to fail.
Modern Engineering
Modernize legacy apps without disrupting the business
- Assess and prioritize modernization by business impact, risk, and feasibility
- Refactor and replatform critical apps to cloud‑native, API‑first architectures
- Decommission technical debt and enable faster product delivery
When our app modernization support is a strong fit
Designed for technology and product leaders who need to modernize core systems while the business keeps running.
You need a modernization roadmap, not just a rewrite
You want a pragmatic sequence of changes tied to business outcomes, not a multi‑year big‑bang replacement.
You’re constrained by technical debt and slow delivery
Releases are risky, regression‑prone, and dependent on a few key people, limiting your ability to respond to the market.
You’re moving to cloud or consolidating platforms
You’re under pressure to exit data centers, standardize stacks, or rationalize overlapping applications.
You want systems ready for AI and data initiatives
You see opportunities for AI and advanced analytics but legacy architectures block clean, real‑time data access.
You need external capacity and expertise
Your teams are at capacity, and you want experienced partners who can co‑deliver while upskilling internal staff.
You must manage risk and compliance carefully
You operate in regulated or high‑availability environments where change must be controlled and auditable.
You want measurable, time‑bound impact
You expect clear milestones, KPIs, and financial justification for modernization investments.
You value sustainable engineering practices
You want modernization to leave behind better architectures, tooling, and ways of working—not just new code.
Example use cases
Where app modernization delivers outsized value
Our approach
A pragmatic path from legacy to modern, with minimal disruption
We combine architecture advisory with hands‑on engineering to modernize the right systems in the right order—protecting current operations while building for what’s next.
01
Discover and assess the legacy landscape
Inventory applications, dependencies, and constraints. Map systems to business capabilities, SLAs, and regulatory requirements. Identify quick wins, critical risks, and modernization options for each asset.
02
Prioritize and design the target architecture
Define a target state—cloud, integration, data, and security architectures—aligned to your strategy. Prioritize initiatives by value and feasibility, and create a sequenced modernization roadmap with clear success metrics.
03
Execute refactor, replatform, and replacement
Apply the right pattern per system: strangler‑fig around monoliths, containerization, service decomposition, or SaaS replacement. Implement CI/CD, observability, and automated testing to reduce risk with each increment.
04
Migrate, harden, and decommission safely
Plan and run cutovers, data migrations, and coexistence periods. Harden performance, security, and resilience in production. Decommission legacy components methodically to capture savings and reduce operational complexity.
05
Enable teams and embed new ways of working
Upskill internal teams on new platforms, tools, and practices. Establish guardrails, reference architectures, and operating models so modernization benefits compound rather than regress over time.
Business Outcomes
- Reduced operational risk and unplanned downtime
- Lower run costs and clearer total cost of ownership
- Faster, safer delivery of new features and products
- Architectures ready for AI, analytics, and automation
- Simpler technology landscape and fewer legacy constraints
Featured Whitepaper
AI Adoption in 2025: A Framework for Enterprise Success
A practical roadmap for executives launching enterprise-scale AI initiatives—covering governance, architecture, success metrics, and change management.
Autolayer
AI Adoption in 2025:
A Practical Framework for Enterprise-Scale Impact
Includes governance playbooks, rollout sequencing, and lessons from Fortune 500 launches.
Latest on the blog
Fresh perspectives on technology, product delivery, and enterprise transformation.
Contact Us
Let’s talk about your project
We help companies and individuals build out their brand guidelines.
Fabrice Campoy
Vice President, Schneider Electric
“Autolayer helped us unify our partner reporting across Africa. Their team is relentless about solving the tough problems.”
Stay ahead with Autolayer
Get practical insights on AI, cloud, and engineering delivery
Short, useful emails on building and scaling digital products — from architecture patterns and delivery playbooks to real-world lessons from our work with engineering teams.
- Curated, not noisy
- Expect a small number of high-signal updates: implementation guides, playbooks, and templates that your team can actually use.
- No spam, ever
- We'll only reach out when we have something genuinely helpful to share — no mailing list blasts or recycled content.