How Enterprises Build Secure and Observable AI Agents on AWS

Most companies do not fail at AI because models are weak. They fail because everything around the model is chaotic.

A growing European SaaS company once told us they had five internal teams experimenting with AI. One team built a chatbot. Another built an automation agent. A third connected tools and APIs directly to a large language model. Nothing was shared. Nothing was observable. No one could answer a simple question. Who is calling which model, with what data, and at what cost.

At Prezelfy, we see the same pattern again and again. Companies want agents that actually do work, not demos. They want secure access, controlled tools, persistent memory, deep observability, and a way to scale beyond one clever engineer. AWS Agent Core gives the foundation. Strand gives the orchestration. Prezelfy turns both into something companies can safely operate.

The real problem companies face is not building an agent. It is operating agents in production.

Without a central gateway, agents sprawl. Credentials get hard coded. Tools are called without guardrails. Memory lives in random databases. Debugging turns into guesswork. Compliance teams panic because no one can trace decisions.

AWS Agent Core solves this by acting as the backbone for agent based systems. Agent Core Gateway becomes the single controlled entry point. Every agent request flows through it. Authentication, authorization, rate limits, and encryption are enforced consistently. Suddenly security teams can breathe again.

On top of that, tools are no longer an afterthought. With Agent Core Tools, each action an agent can take is explicitly defined. APIs, internal services, databases, and workflows are registered as tools with permissions. Agents can only do what they are allowed to do. This is the difference between an assistant and a liability.

Memory is where most agent projects quietly break. Stateless agents feel impressive in demos but useless in reality. Agent Core Memory allows structured, auditable, long lived context. Agents remember customers, past decisions, and operational state. More importantly, memory is governed. It can be encrypted, scoped, expired, and inspected.

Instead of guessing why an agent behaved strangely, teams can trace every step. Inputs, tool calls, memory reads, outputs, latency, and cost all become visible. Metrics flow into dashboards. Logs tell a story. Incidents become debuggable instead of mysterious.

Custom Agents are where companies finally differentiate. With Strand orchestration, agents are not isolated bots. They collaborate. One agent analyzes. Another plans. A third executes through tools. A fourth validates results. Agent Core keeps them secure and observable. Strand keeps them coordinated.

This is the point where most companies ask a hard question. How do we adopt this without turning our cloud into an experiment?

This is where Prezelfy becomes the main character.

We do not sell theory. We build production ready agent platforms on AWS. For most clients, adoption follows a clear path. We start with an Agent Core Gateway deployed inside your AWS VPC. No external data leakage. Full audit logging. Then we model your real business workflows as tools, not generic prompts. After that, we design memory schemas that match your domain. Finally, we wire everything into observability so leadership can see value, cost, and risk in one place.

Instead of one big bet, companies get incremental wins. An internal Cloud Advisor agent. A support triage agent. An operations automation agent. Each one built on the same secure backbone.

The result is not more AI hype. The result is controlled leverage.

In its simplest form, the architecture looks like this. Users and systems interact through the Agent Core Gateway. Requests are authenticated and routed to custom agents orchestrated by Strand. Agents invoke approved tools, read and write governed memory, and emit logs and metrics into observability dashboards. Everything runs inside AWS with clear ownership and controls.

If you are experimenting with agents today, you are already paying the cost of not having this structure. If you are not experimenting yet, your competitors are.

Prezelfy exists to make this transition boring in the best possible way. Secure by default. Observable by design. Built for real companies, not demos.