Professional Services
Focused expertise. Usable outcomes.

Architecture that turns into a working system.

Deadlights provides focused professional services for organizations that need to make AI architecture, security policy, model access, data controls, and implementation work together.

From requirement to operationDelivery blueprint
01Discover — use cases, data, controls, constraints, stakeholders
02Architect — trust boundaries, policies, integrations, decisions
03Implement — configuration, integration, automation, tests
04Operate — evidence, runbooks, ownership, knowledge transfer
Launch service portfolio

Two focused service pillars.

Deadlights is intentionally starting with a narrow portfolio at the intersection of AI platforms and cybersecurity. AI governance is addressed as a supporting capability across both services, not a third pillar.

SERVICE 01

AI / LLM Architecture

Design the architecture before technology decisions become hard to reverse. Deadlights helps define use cases, trust boundaries, workload profiles, model access patterns, data controls, identity, observability, resilience, deployment options, and operational ownership.

Typical outcomes: reference architecture, decision record, workload profiles, control map, integration plan, implementation backlog, validation plan.

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SERVICE 02

Secure AI Gateway Implementation

Turn the approved architecture into a working control path. Deadlights can help deploy and configure gateways, integrate model providers, connect security controls, implement routing and policy, validate traffic flows, document the environment, and prepare the operating team.

Typical outcomes: deployed gateway, configured profiles and routes, tested integrations, logging/telemetry, runbooks, validation evidence, knowledge transfer.

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Governance, connected to execution

AI governance becomes useful when it reaches implementation.

Governance is included as a supporting capability across both service pillars, not a separate offering.

Deadlights helps translate policy into concrete decisions such as who can use which AI services, what data controls apply, when approval is required, what is logged, and who owns exceptions.

Delivery model

Small, testable increments—not a single large handoff.

Engagement structure adapts to the environment, but every phase is designed to expose decisions early and validate assumptions.

01

Discover

Clarify use cases, stakeholders, constraints, current architecture, data flows, risks and success criteria.

CONTEXT
02

Architect

Define the target state, trust boundaries, policy points, integrations, operating model and implementation sequence.

DECISIONS
03

Implement

Configure and integrate the selected technology, automate repeatable steps, and test expected and failure paths.

BUILD + TEST
04

Operationalize

Document the result, transfer knowledge, validate monitoring and ownership, and provide a prioritized backlog for what comes next.

HANDOFF
Why this engagement is different

What makes the engagement different.

Five principles carry through every engagement, regardless of scope.

01Focused specialization. AI architecture and cybersecurity are treated as one system.
02Hands-on delivery. Recommendations stay connected to implementation.
03Integration depth. Existing enterprise controls are part of the architecture.
04Configurable outcomes. The solution reflects the customer’s environment rather than a rigid reference stack.
05Small, testable increments. Progress is demonstrated rather than deferred to the end of the project.
Start with the problem you are trying to solve

You don’t need a fully defined gateway project to start.

A strategy session can begin with a use case, an architecture question, a stalled pilot, or a security concern.