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---title: "Agent & Workflow Engineering | AppStream Studio"description: "Engineer AI agents that retrieve context, use tools, act in your systems, and escalate exceptions. Production guardrails, evaluation, and human oversight built in."url: https://appstream.studio/solutions/agent-engineeringmarkdown_url: https://appstream.studio/solutions/agent-engineering.md--- 1. [Solutions](https://appstream.studio/solutions.md)2. [Engineer](https://appstream.studio/solutions/engineer.md)3. Agent Engineering Agent Engineering # Agents that do the work inside your systems, not beside them. A chat window answers questions. A production agent retrieves context, uses your tools, updates your systems, and hands people the decisions that need judgment. We engineer agents with the guardrails, escalation, and oversight that make that safe. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [Explore Engineer](https://appstream.studio/solutions/engineer.md) [Part of 02 Engineer Turn possibility into production. Agent & workflow engineering](https://appstream.studio/solutions/engineer.md) Where this sits in the lifecycle 1. [01 Advise](https://appstream.studio/solutions/advise.md)2. [02 Engineer You are here](https://appstream.studio/solutions/engineer.md)3. [03 Operate](https://appstream.studio/solutions/operate.md)[Govern Runs across all three](https://appstream.studio/solutions/govern.md) The problem ## Most agent projects stall at the same point: nobody designed for the moment the agent is wrong. No fallback, no monitoring, no way for a person to step in. - Assistants that can answer but can’t act- No plan for when the agent gets it wrong- Automations that break the first time an input changes- No record of what the agent actually did How we work ## Four steps. One team the whole way. 1. 01### Design the boundariesWhat the agent reads, what it may change, where it must stop and ask, and how every step is logged.2. 02### Connect it to the workTools, APIs, and systems of record wired in under the user’s own permissions.3. 03### Keep people in the loopEscalation, approval, and override paths for the decisions that need judgment.4. 04### Prove it before launchEvaluations on your own cases, output validation, and monitoring in place before anything goes live. What’s included ## What agent engineering covers. In practice. - ### Task-oriented agentsClear goals, tool access, and decision rules built for your domain and workflows.- ### Multi-agent orchestrationSpecialized agents that delegate and hand off, instead of one agent doing everything badly.- ### Human-in-the-loopApproval, escalation, and override patterns, so people own the decisions that matter.- ### Tool use & contextAgents wired into your APIs, databases, and internal tools, with the context to use them well.- ### Guardrails & observabilityOutput validation, monitoring, and fail-safes, so behavior stays predictable in production.- ### Testing & evaluationEvaluation suites for accuracy and edge cases, before and after every release. What you can hold us to ## Commitments. Not marketing ranges. What every agent we ship commits to. logged Every step Inputs, tool calls, and outputs recorded and traceable on the exceptions Human Defined escalation and override paths for the calls that need judgment before launch Evaluated Tested on your own cases, not a public benchmark Go deeper ## More under Engineer, and beyond. - [Engineer Turn possibility into production. Build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows.](https://appstream.studio/solutions/engineer.md)- [Agent Knowledge Layer AI is only as good as what it knows about your business.](https://appstream.studio/solutions/agent-knowledge-layer.md)- [AI-Enabled Custom Development Custom software, built faster, and billed that way.](https://appstream.studio/solutions/ai-enabled-custom-development.md)- [Agent Strategy Know which workflows AI should take on first, before you fund the build.](https://appstream.studio/solutions/agent-strategy.md)- [Forward-deployed engineers However you start, our engineers embed with your team: your Slack, your repo, your standups.](https://appstream.studio/forward-deployed-engineers.md) ## Bring us the workflow. We’ll bring the engineers. Pick the process your team runs by hand most often. We’ll show you what an agent can take end to end, where a person stays in the loop, and what production requires. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [See our work](https://appstream.studio/case-studies.md) --- ## AppStream Studio AppStream turns frontier AI capabilities into production systems that perform real work. Talk to an AI engineer: https://appstream.studio/schedule-a-discovery-call · Email: contact@appstream.studio - [Home](https://appstream.studio/index.md)- [Solutions](https://appstream.studio/solutions.md)- [Advise](https://appstream.studio/solutions/advise.md)- [Engineer](https://appstream.studio/solutions/engineer.md)- [Operate](https://appstream.studio/solutions/operate.md)- [Govern](https://appstream.studio/solutions/govern.md)- [How we work](https://appstream.studio/how-we-work.md)- [Work (case studies)](https://appstream.studio/case-studies.md)- [Industries](https://appstream.studio/industries.md)- [Insights](https://appstream.studio/blog.md)- [Partners](https://appstream.studio/partners.md)- [About](https://appstream.studio/about-us.md)- [Contact](https://appstream.studio/contact.md) Agents are becoming a second user of your software. Readable content is the start. Scoped, auditable access for agents to act is the next step.
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