Today’s technology challenges, and how we lead through them.
Organizations across finance, construction and non-profit are working through some version of the six challenges below. Each one needs a clear strategy and people who can deliver it, whether the scope is one application or the whole enterprise.
Modernizing the core
Core platforms in C, C++ and Java carry decades of business rules, and they set the pace for how fast the business can change.
Define the target architecture and business case, then modernize Java, .NET and Oracle platforms incrementally through microservices and APIs, so operations never stop.
Getting value from the cloud
Many cloud moves relocated servers without changing how systems were designed. Costs rose and the expected benefits lagged.
A cloud strategy across AWS, Azure and Google Cloud that ties each workload to a business outcome, with cloud governance and FinOps built in.
Governing a multi-cloud estate
Workloads now span two or three providers, each with its own identity, networking and security model.
One operating model across providers: Azure Landing Zones, AWS Control Tower, Terraform and Kubernetes, with a shared identity model and policy set your team owns.
From AI pilots to AI strategy
Pilots impress but don’t scale, because data readiness, ownership and controls were never decided.
An AI strategy with prioritized use cases, data readiness and AI governance. Then we deliver with Azure OpenAI, Azure AI Foundry, Azure AI Search, RAG and Copilot Studio, and measure the result.
Data and documents you can trust
Drawings, specs, permits, statements and filings live in separate systems and often disagree.
A data strategy with clear ownership and governance across warehouses, data virtualization, Synapse and Snowflake, plus document intelligence that cites the source behind every finding.
Compliance by design
Auditors and regulators expect to see who changed what, when and why, and older systems weren’t built to show it.
Architecture governance, DevSecOps pipelines, access control and change history designed in, so evidence is produced as part of normal work.
How an engagement runs.
Four stages, scaled to the size of the work. Each one ends with something you can use.
Discover
We learn the business goals, the systems, the data and the people who depend on them.
Strategize
A target state, a roadmap and an investment case, sequenced by value and risk.
Deliver
We lead and build alongside your team in releases that each create value.
Sustain
Governance, documentation and knowledge transfer, so your team owns what comes next.