AI Solutions → AI Agents
AI Agents
We design agentic AI systems that plan, remember, and take action across your systems — from single agents with persistent memory to coordinated multi-agent systems — with the observability enterprise workflows require.
What's included
Core capabilities
Agentic AI architecture & tool/function design
Agent memory design for context persistence
Multi-agent systems & inter-agent coordination
Human-in-the-loop & approval workflows
Agent observability & failure handling
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FAQ
Common questions about ai agents
Does Karsient build Agentic AI solutions?
Yes. Karsient designs and builds agentic AI systems — agents that plan, take multi-step actions, and call tools or APIs across your existing systems — with the memory, observability, and human-in-the-loop controls enterprise workflows require.
What is Agentic AI, in practical terms?
Agentic AI goes beyond a single prompt-and-response: an agent can break a task into steps, decide which tools or APIs to call, retain context across a workflow, and hand off to a human for approval where needed. Karsient designs this at the architecture level — planning, tool integration, memory, and failure handling — not just the model prompt.
How does Karsient handle governance and safety for AI agents?
Every agentic system we build includes observability (so you can see what an agent did and why), human-in-the-loop approval for consequential actions, and audit trails — the same production rigor we apply to any enterprise system, not an afterthought bolted on later.