Architecture review for AI-enabled systems
The review can cover model selection, data flow, retrieval design, evaluation, observability, security boundaries, vendor dependency, and deployment assumptions.
PROTOCOL // DELTA
Technical Advisory & Production Readiness
Support technical teams with architecture review, system design, production readiness, governance, and implementation risk reduction.
When this service is relevant
Technical advisory helps teams make better implementation decisions before architecture debt, reliability gaps, or governance uncertainty become expensive. Neuralys reviews the system context and gives pragmatic guidance that engineering teams can act on.
Practical readiness checks
Advisory work identifies what must be fixed, measured, documented, or deferred before a pilot, production release, vendor decision, or internal handoff.
Typical outcomes
- Architecture review
- Risk assessment
- Production readiness
- Developer autonomy
Process
From problem framing to operational handoff.
- 01
Understand context, stakeholders, data, constraints, and success criteria.
- 02
Shape the solution path, architecture, delivery model, and risk controls.
- 03
Build, test, integrate, and validate with real users and operational conditions.
- 04
Transfer knowledge, document decisions, and define the maintenance path.
Related services
Connect this protocol to adjacent AI work.
PROTOCOL // GAMMA
Custom AI & Software Development
Design and build AI-enabled applications, automations, data products, and decision-support systems that integrate into real workflows.
PROTOCOL // ALPHA
AI Strategy & Opportunity Discovery
Separate signal from hype, identify valuable AI opportunities, and define a practical roadmap grounded in data readiness, risk, and business value.