01 / SERVICES
Engineering help where the work gets technical.
Start with the infrastructure and operating reality. Scope an engagement around a decision, an integration or a delivery outcome — with clear responsibilities and evidence of what works.
The foundation
Infrastructure expertise, applied directly.
Work with a principal engineer on the decisions that shape reliability, operability and the path to production.
Architecture & migration
Assess the platform, map dependencies and compare container, virtualization and private-cloud options. Deliver architecture decisions, a phased migration plan, validation criteria and rollback considerations.
Private AI infrastructure
Plan compute, model serving, data access, identity and operational ownership. Evaluate local, enterprise-hosted and approved API options against workload requirements, not a universal model preference.
SI technical enablement
Support solution qualification, architecture reviews, workshops and proof-of-concept design. Help partner engineers understand the trade-offs, validate the solution and take ownership of delivery.
Putting AI to work
Four ways to connect AI to the business.
Light supplies a reusable governance and execution foundation. The engagement adapts it to your data, identities, systems and approval processes.
Enterprise AI Workflow Engineering
Turn an existing process into an AI-assisted workflow: connect authoritative data, define the reasoning task, structure outputs and establish human checkpoints. Applicable to finance, procurement, compliance, operations, support, sales operations, manufacturing, logistics, documents, reporting and IT.
Governed Agent Operations
Define durable workload identity, authorization, scoped tool access and mutation boundaries. Integrate human approvals, policy checks, execution audit and post-action reconciliation. The model proposes; the platform decides whether execution is allowed.
Service & Dependency Intelligence
Build an evidence-backed service graph from repositories, configuration, runtime, infrastructure and documentation. Discover dependencies and owners, detect changes, assess blast radius, prepare impact reports, notify affected teams and support migrations and incident investigation.
Custom Enterprise AI Solution
Design a bounded solution around the customer's own data and operating model when a packaged product does not fit. Prepare context, reason, produce structured output, validate it and return the result to the existing workflow through a human or policy boundary.
A recurring engagement
AI Workflow Continuous Optimization.
Review human corrections, rejected outputs, escalations, exceptions, false positives and negatives, latency, model performance, data changes and business rules. AI can prepare improvements; changes are tested, reviewed and released as controlled workflow revisions. Production policy never changes silently.
Start with the system. Tell us what needs to work.
An infrastructure decision, a migration, or a workflow you want AI to help with. Bring the problem, the data you have and the outcome you need. You do not need to choose a model or framework first.