TBW / AI SERVICES / SOLUTION ARCHITECTURE AND DEPLOYMENT
Solution Architecture and Deployment
Turn AI requirements into documented architecture, controlled environments, repeatable deployment and operational ownership.
A Controlled Path to Outcomes
Document the use case, trust boundaries and operating constraints before choosing a deployment. The architecture pack should make data movement, identities and recovery paths reviewable before promotion.
Our Approach
Map requirements to component and data-flow views, decide security controls with owners, and use staged evidence to promote a tested design into production.
Requirements to Architecture
Map the business use case and users to data, integrations, latency, residency, security, availability and operations. Record constraints and acceptance criteria before choosing components.
Architecture Deliverables
Produce a context diagram, component architecture, data-flow and trust-boundary diagrams, identity flow, deployment view, threat model and decision records. Each artifact should name its owner and assumptions.
Security by Design
Define identity and authorization, data classification, model and tool access, encryption, logging and recovery. Review cross-boundary flows and minimize privileged paths before deployment.
Controlled Environments
Separate development, test, staging and production. Promotion requires tests, representative evaluation, security review and configuration validation; production is not the first evaluation environment.
Infrastructure as Code
Version deployment definitions for repeatability and environment consistency. Peer-review changes and reconcile drift rather than relying on undocumented manual configuration.
Secrets and Configuration
Keep credentials in an approved vault with environment separation and key rotation. Do not place secrets in prompts or logs; review configuration differences before release.
Evaluation Gates
Re-run representative quality, failure and security evaluations before promotion after important model, prompt, tool, retrieval or configuration changes. Define who accepts the result.
Observability from the Start
Instrument errors, latency, quality signals, model routes and policy decisions with appropriate redaction. Connect alerts to named operators and useful runbooks.
Staged Rollout and Rollback
Begin with a bounded pilot, then a limited release and broader rollout only after measured acceptance. Define rollback triggers, owner and tested procedure.
Runbooks and Ownership
Name a system owner, operator and security contact. Document the change process, incident response, escalation, recovery steps and handover.
Deployment Targets
Compare Private AI and Local AI against residency, operating and capacity constraints; the right target follows the requirements, not a default stack.
Architecture and Deployment Deliverables
An architecture pack, deployment plan, security controls, infrastructure-as-code recommendation, environment model, test gates and operational runbooks. Related: AI Implementation · AI Security and Governance.
Controls and Accountability
Attach each architecture decision to an identity flow, data classification, threat scenario and verification evidence. Review exceptions with the risk owner before deployment.
Frequently Asked Questions
Does architecture begin with a model choice?
No. Define users, data, constraints and acceptance criteria first, then compare viable model and deployment options.
What must pass before production promotion?
Tests, representative evaluation, security review and configuration validation appropriate to the change.
Can a pilot use production credentials?
Use separately scoped credentials and approved data handling; do not copy production secrets into lower environments.
Who owns rollback?
Name an operator and establish rollback triggers and a tested procedure before release.
Is private deployment automatically secure?
No. Identity, access, logging, encryption and incident processes remain necessary.
Plan the Next Step
Bring an application boundary, integration map and deployment constraints. We can identify the diagrams and promotion gates needed for a controlled architecture decision.