Consulting
Good engineering starts with a better decision.
Independent advice for technology investments, difficult systems and teams that need a clear next step.
Technology consulting & technical advisory
Choose a bounded decision to resolve: whether to replace a system, how to structure a product or which vendor proposal fits the requirement. Advisory connects business priorities with implementation constraints; the deliverable is a reasoned recommendation with alternatives.
Software architecture
Review domain boundaries, data ownership, deployment constraints and failure modes. Architecture work produces diagrams and decision records tied to an actual workflow. It can cover a new application or a targeted change to a system already in use.
Technical audits & code review
An audit establishes the condition of an application across an agreed scope. Code review investigates concrete implementation risks: authorization, transaction handling, error recovery and maintainability. Findings include evidence, impact and a practical remediation order.
Fractional CTO
Provide a recurring technical decision-making function without assuming a full-time executive role. Agree decision authority, meeting cadence and deliverables: roadmap review, vendor evaluation, hiring input or delivery oversight. Capacity and responsibilities are explicit.
Software modernization
Determine which parts of a legacy system should be kept, isolated or replaced. A modernization plan includes dependency mapping, data migration and coexistence. The objective is a manageable transition rather than a rewrite by default.
Technical due diligence
Examine code, infrastructure, operating practices and technical dependencies for an investment or acquisition decision. The report distinguishes evidence from uncertainty and documents access limits. Financial and legal judgments remain with the relevant advisers.
AI consulting
Identify a workflow, a representative dataset and a way to evaluate errors before choosing a model. Compare an AI approach with simpler rules or conventional software. Define data boundaries, human review and a stop condition for experiments.
Infrastructure consulting
Review deployment, capacity, backups, access and operational ownership. Compare hosting options against workload and recovery requirements. An architecture recommendation includes its operational costs and the tests needed to validate it.
Technical training
Use your own workflows and code as the learning material. Sessions can cover application architecture, deployment, debugging or maintaining an integration. Agree the participants, prerequisites and a practical exercise that demonstrates understanding.
Troubleshooting
Start with a reproducible symptom and its impact. Trace the failing path through browser, application, data and infrastructure, then test a narrow correction. Record the root cause and prevention steps when the evidence supports a conclusion.
Engineering collaboration
Work alongside an internal team through reviews, implementation support or scoped staff augmentation. Define ownership and review rules so additional capacity does not create conflicting decisions. Knowledge transfer is part of the work, not a final surprise.
The next step
Let’s talk about the problem.
Tell us what needs to improve, what exists today and which constraints matter. We can start there.
Start a conversation