Use-case framing
Define where generated output saves time or improves clarity.
AI & Technology / Generative AI
Generative AI
Generative experiences that make information, creation, and service more effective.
What we do
Generative AI is most helpful when people can see the source, judge the output, and correct it. We design experiences for drafting, knowledge assistance, and service support around a defined user task. The system retrieves approved information where needed, signals uncertainty, routes sensitive cases to a person, and is evaluated against real examples before release.
Knowledge retrieval
Ground responses in approved, current business information.
Prompt and workflow design
Structure inputs, tools, and review steps for consistent results.
Quality evaluation
Measure relevance, factuality, safety, latency, and cost.
Where it works
- Draft a customer response from approved help material for an agent to review.
- Answer employee questions with links to current internal documents.
- Turn structured meeting notes into a first-pass action summary.
- Help website visitors find relevant services while escalating unclear requests.
Technology in the mix
- LLM APIs
- Retrieval pipelines
- Evaluation tooling
Built for trust
Source ingestion, retrieval, prompt logic, generation, and output review are separate components. We test factual grounding, unsupported answers, latency, cost, and user corrections. High-impact recommendations and personal data require stricter access and human oversight.
Questions, answered
We narrow the task, ground responses in approved sources, ask the system to show its evidence, and test it against difficult examples. We also design a clear fallback when the answer is uncertain.
It can be, but we usually recommend editorial review for public claims, regulated topics, and brand-sensitive material. The review level should reflect the consequences of an error.
Only if its sources and retrieval process are kept current. We define source ownership, update frequency, and monitoring so stale information can be found and corrected.
We compare the current task with a small prototype using measures such as time saved, accuracy, escalation rate, user satisfaction, and operating cost.
Your next move starts here
Let’s build what comes next.
Generative experiences that make information, creation, and service more effective.