Business Modernization & Cloud
We modernize the systems underneath the business.
Legacy applications, disconnected systems and manual processes quietly cap what a business can do. We replace them with a modern operating foundation—for established companies and after an acquisition.
Cloud is a mechanism, not the outcome
Moving servers to Azure, Google Cloud or AWS is sometimes part of the answer. The goal is a business that runs with fewer handoffs, cleaner data, lower risk and room to grow. We start with what the change is supposed to do for the business, then choose the technology.
Post-acquisition modernization
Modernize what you bought
Technical due diligence before close, and a practical plan after it. A typical engagement follows a 30/60/90-day structure, adjusted to the business.
Days 1–30
Assess
- Inventory systems, vendors, contracts and data
- Identify security exposure and key-person risk
- Map the workflows that actually run the business
Days 31–60
Stabilize & prioritize
- Fix the urgent risks first
- Rank opportunities by revenue, margin, risk and speed
- Agree the modernization roadmap with owners
Days 61–90
Modernize
- Deliver the first high-value changes
- Put reporting in place to measure them
- Set up ongoing technology leadership
What we modernize
Most engagements touch several of these at once. We sequence them by business impact.
Legacy application modernization
- Rebuild or replace aging line-of-business apps
- API layers around systems you keep
- Database migration
- Safe, staged cutovers
Workflow & process automation
- Remove manual re-keying and handoffs
- Approvals, scheduling and notifications
- Exception handling that people can see
- Automation with an audit trail
Systems integration
- Connect CRM, accounting and operations
- Webhooks and event-driven sync
- One source of truth for key data
- Vendor API integration
CRM & customer portals
- CRM implementation and cleanup
- Self-service customer portals
- Document and status visibility
- Customer onboarding flows
Business systems
- Accounting and invoicing integration
- Business communications and phone systems
- Websites and digital storefronts
- E-commerce and payments
Data & reporting
- Operational dashboards
- Reporting the owners actually use
- Data warehousing where it pays off
- Clean, reconciled data
Identity & security
- Single sign-on and access control
- Offboarding and least privilege
- Backups and recovery
- Security baselines for acquired systems
AI enablement
- Use-case and ROI assessment
- Document and knowledge automation
- Data readiness for AI
- Guardrails and human review
Cost & standardization
- Software and cloud spend review
- Vendor consolidation
- Standard tooling across locations
- FinOps practices
Azure · Google Cloud · AWS
Cloud & data
We work across Microsoft Azure, Google Cloud and AWS and choose based on fit—existing investments, requirements, scale and cost—not preference.
Application modernization
Move legacy applications onto modern, supportable architecture.
- Legacy application rewrites
- Service and API modernization
- Database migration
- Containerization
Cloud infrastructure
Secure, cost-aware infrastructure that fits the business.
- Infrastructure as code
- Networking and identity
- Scaling and resilience
- Cost optimization (FinOps)
Data & analytics
Data systems that answer operating questions.
- Data warehousing
- ETL and pipelines
- Business intelligence
- Operational reporting
How a cloud migration runs
A six-phase approach for moving workloads safely. Select a phase for detail. Timelines are set per engagement during assessment.
Loading migration journey…
What is holding the business back?
Tell us about the systems, the workflows or the acquisition. We'll tell you where we would start.