Use-case discovery
Clarify the highest-value AI opportunities and prioritize by risk and readiness.
AI / LLM Enablement
Safe and useful AI adoption.
We help companies adopt LLMs without turning them into an uncontrolled data exfiltration channel. From strategy to implementation, we deliver use cases, guardrails, and working solutions.
Who it’s for
- Leaders exploring AI adoption in regulated environments.
- Data and product teams building LLM-enabled workflows.
- Security and compliance stakeholders who need guardrails.
Problems we solve
- Unclear use cases and ownership for AI initiatives.
- Risk of uncontrolled data exposure or retention drift.
- Lack of governance for prompts, access, and vendor oversight.
- RAG implementations without validation or monitoring.
- Low adoption due to missing training and standards.
Governance guardrails
Define acceptable use, access controls, retention rules, and vendor risk practices.
RAG patterns
Design retrieval patterns and knowledge bases with traceability and evaluation.
Rollout enablement
Train teams, define prompt standards, and support adoption across roles.
What you get
- Use-case discovery and prioritization map
- AI governance guardrails and acceptable use
- RAG patterns and knowledge base design
- Prompt standards and evaluation approach
- Rollout enablement and adoption playbook
Engagement options
Short engagement
Use-case discovery with governance guardrails and a delivery plan.
Standard engagement
Prototype and pilot delivery with safe-by-design controls.
Extended engagement
Operating model and adoption enablement across multiple teams.
Diagnose
Align on use cases, risks, and data constraints.
Build
Design guardrails, RAG patterns, and working solutions.
Operate
Enable adoption with training, monitoring, and refinement.
Relevant FAQ
How do you keep LLMs from becoming a data risk? +
We define acceptable use, access boundaries, and retention controls upfront.
Guardrails are enforced through policy and workflow design, not just documentation.
Do you build RAG solutions? +
Yes. We design retrieval patterns, knowledge base structure, and evaluation routines.
The goal is relevance, traceability, and safe sourcing.
Can you work with existing AI vendors? +
Yes. We assess vendor risk and align controls with your compliance posture.
Vendor selection remains client-led, with our guidance on governance.
How do you support adoption? +
We provide training, prompt standards, and change management support.
Adoption is reinforced with feedback loops and performance reviews.
What is the output of a typical engagement? +
You receive a clear use-case backlog, governance playbook, and working pilot delivery.
Artifacts are ready for audit review and operational use.
Ready for safe AI adoption?
Let’s build AI guardrails and working solutions you can trust.