TBW / AI SERVICES / AI IMPLEMENTATION
AI Implementation
Implement and configure AI platforms, model access, retrieval, integration, identity, logging and evaluation in controlled environments.
A Controlled Path to Outcomes
Start from the target environment and its allowed model, data and tool routes. Configure each dependency in a bounded environment and retain evidence before promoting a working system.
Our Approach
Provision model access, retrieval and integrations with separate credentials by environment. Validate representative use and failure scenarios, complete security review, then hand the configuration inventory and runbooks to the operator.
What Implementation Covers
Configure model access, gateway policy, RAG and integrations alongside identity, security, logging, evaluation and documentation. Scope each component against the approved architecture.
Separated Environments
Build in development, validate in test and promote to production after review. Containerization can make dependencies reproducible; separate credentials, data and configuration by environment.
Model and Inference Choices
Configure commercial endpoints, open-weight models, cloud inference, private inference or local inference as suitable examples, not promised vendor partnerships. Validate data routes, licenses, capacity and task quality for the chosen option.
Gateway Configuration
Define a model allowlist, policy-aware routing, redaction, rate limits and usage tracking. Record authorized fallback behavior so an outage cannot silently move sensitive data to an unapproved route.
Secret Management
Store keys in a vault, scope environment-specific credentials and plan rotation. Avoid hard-coded credentials and redact sensitive configuration from logs.
Enterprise Identity
Integrate authentication and authorization with enterprise identity where appropriate. Check user, service and tenant permissions at each data or tool boundary rather than trusting the model output.
Implementation Hardening
Review network exposure, access controls, service identities, secure defaults, administrator access and logging. Remove unnecessary public endpoints and test denied paths.
Validation Before Enablement
Run acceptance scenarios and a representative evaluation set, including error handling, failure testing and security cases. Record outcomes and remediation, not only a successful demonstration.
Documentation and Handover
Provide architecture, runbook, access matrix, configuration inventory, rollback procedure and troubleshooting notes. Name the operator and decision owner before enablement.
Working Model
Discover → Build in bounded environment → Validate → Security review → Enable → Handover. Scope and review depth depend on the system; no fixed implementation timeline is implied.
Implementation Deliverables
Configured environment, implementation records, architecture diagram, runbook, validation report and handover documentation. Related: Solution Architecture · Consulting · Integrations · Ongoing Support.
Controls and Accountability
Confirm environment-specific credentials, restricted administrator access, model and tool routes, and deployment evidence before enablement. Hand over tested rollback and troubleshooting procedures to the operator.
Frequently Asked Questions
Can implementation start directly in production?
Use bounded development and test environments first, then promote after acceptance and security review.
Do you install a particular model by default?
No. Model and inference choices follow workload, licensing, data-handling and operational requirements.
How are API keys handled?
Use a vault, separate environment credentials, limited access and a rotation plan.
What is validated before handover?
Representative task quality, error and failure behavior, security cases and the operator’s ability to use the runbook.
What happens if a model route fails?
Use only an approved fallback or stop safely; never silently send restricted data elsewhere.
Plan the Next Step
Bring the target environment, model access requirements and identity or integration constraints; we can define the configuration and validation work together.