Generative AI Solutions
Design and implement LLM-powered copilots, agents, content systems, and knowledge assistants tailored to your data, policies, and users.
Copilots and Agents Built on Your Data
Generic chatbots answer generic questions. We build generative AI systems grounded in your documents, policies, and systems — through retrieval-augmented generation, tool use, and agentic workflows — so answers are specific, current, and trustworthy.
Every solution is evaluated against real user queries before launch, with guardrails for prompt injection, hallucination, and data leakage appropriate to your risk tolerance and industry requirements.
- Enterprise copilots and assistants embedded in internal tools
- Retrieval-augmented generation (RAG) over proprietary knowledge bases
- Agentic workflows that take multi-step action, not just answer questions
- Prompt engineering, evaluation, and guardrail design
- Model selection and cost management across providers
Sub-Services & Capabilities
Comprehensive solutions tailored to every stage of your initiative.
Enterprise Copilots & Assistants
We design conversational assistants embedded in the tools your teams already use — support desks, internal wikis, engineering consoles — tuned to your terminology and escalation rules.
- Internal knowledge copilots
- Customer-facing assistants
- Escalation & handoff logic
- Multi-turn conversation design
Retrieval-Augmented Generation (RAG)
We build retrieval pipelines over your documents, tickets, and structured data so responses are grounded in your actual content, with citations back to source.
- Document ingestion & chunking
- Embedding & vector search
- Source citation & traceability
- Freshness & re-indexing strategy
Agentic Workflows
We design agents that take multi-step action across your systems — looking up records, filing tickets, drafting documents — with human approval steps where the risk warrants it.
- Tool use & function calling
- Multi-step task orchestration
- Human-in-the-loop approval gates
- Guardrails & safety evaluation
Real-World Applications
How organizations leverage our expertise to solve critical business challenges.
Internal Knowledge Copilot
Built a RAG-based assistant over internal engineering documentation and runbooks, cited back to source pages.
Outcome: Engineering support tickets for "how do I..." questions dropped by 50%.
Policy-Grounded Support Assistant
Deployed a customer support assistant grounded in current policy documents, with escalation to human agents for regulated topics.
Outcome: First-contact resolution improved while maintaining full compliance review.
Clinical Documentation Assistant
Built an agent that drafts structured clinical notes from provider dictation, with mandatory clinician review before signing.
Outcome: Documentation time per encounter reduced by roughly a third.
Key Differentiators
Every response is grounded in your data, with citations back to source where it matters.
Solutions are tested against real user queries and known failure modes before going live.
Guardrails for hallucination, prompt injection, and data leakage tuned to your industry.
Built so you can swap or retrain underlying models as the landscape changes.
Copilots People Actually Trust
Grounded, evaluated generative AI systems — not a chatbot that guesses when it does not know the answer.
Internal Knowledge Copilot
A RAG-based assistant over engineering documentation cut "how do I..." support tickets by 50%, with every answer cited back to source.
Ready to Build a Copilot or Agent?
Let's ground it in your data and get it in front of users.