AI Agents & Agentic AI
Purpose-built AI agents for enterprise workflows. Autonomous, observable, and designed for the risk tolerance of regulated industries.
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What This Engagement Covers
Agentic AI is moving from research to production. We design and build AI agents that take actions inside your enterprise systems — reading data, making decisions, triggering workflows, and escalating when human judgment is needed. Built with the guardrails, observability, and audit trails that enterprise and regulated deployments require.
Included in scope
- Agentic workflow design and architecture
- Custom LLM integration (Anthropic Claude, OpenAI, Azure OpenAI)
- Tool-use and function-calling implementation
- RAG over enterprise knowledge bases
- Human-in-the-loop escalation design
- Agent observability, logging, and audit trail
- AI safety guardrails and content moderation
When to Engage
Situations We're Built For
"We want to automate complex decisions that today require a human."
We map the decision tree, identify where AI judgment is appropriate and where human review is required, then build the agent with clear escalation paths.
"We want a copilot that works inside our existing systems."
Agents that surface information, draft documents, and trigger actions inside your CRM, ERP, or proprietary systems — without replacing the interface your teams already know.
"We've heard about AI agents but don't know if we're ready."
We start with an AI readiness assessment for agentic use cases: data availability, system integration complexity, risk profile, and change management requirements.
How We Work
Our Approach
Use-case design
What actions should the agent take? What triggers it? What are the failure modes? Designed before any code.
Data and integration architecture
What data does the agent need to read? What systems does it need to write to? Integration design first.
Agent build
LLM selection, prompt engineering, tool implementation, and memory architecture.
Evaluation and safety
Red-teaming, edge case testing, output validation, and guardrail implementation.
Production deployment
Observability, logging, rate limiting, cost controls, and human escalation paths.
Technologies
Related Offerings
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