--- title: "Applied AI Engineering | Engineer | AppStream Studio" description: "We build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows, and engineer them for production." url: https://appstream.studio/solutions/engineer markdown_url: https://appstream.studio/solutions/engineer.md --- 1. [Solutions](https://appstream.studio/solutions.md) 2. 02 Engineer # Engineer Turn possibility into production. Build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows. This is the center of what we do. A prototype proves a model can do something once. Production means it does it every time, for the right user, against live systems, with failures handled and results measured. We build that whole system, and we build it to outlast the model inside it. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) See the proof Start here if - You know the workflow you want to change and need it built - A prototype works in a demo but not against your real systems - The AI has to reach legacy software, sensitive data, or strict permissions - You need engineers inside your environment, not a vendor at arm’s length 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) Capabilities ## Six capabilities. One team across all of them. - ### Applied AI engineering Production software built around models: authentication, context assembly, tool calls, retries, fallbacks, and measurement. We treat the model as one component in a system that has to meet the same bar as the rest of your software. - ### Agent & workflow engineering Agents that retrieve context, call tools, execute multi-step work, and escalate the cases that need a person. Each agent has a defined scope, clear handoffs, and a record of every action it took. [Deep dive Agent Engineering](https://appstream.studio/solutions/agent-engineering.md) - ### Forward-deployed engineering Our engineers work inside your team and your environment, in your repos, standups, and change process. You get delivery speed without handing your systems to an outside black box, and your team keeps the knowledge when we step back. [Deep dive Forward-Deployed Engineers](https://appstream.studio/forward-deployed-engineers.md) - ### AI integration & modernization Most of the value sits in systems that were never designed for AI. We connect to them through APIs, HL7, databases, or the interface itself, and rebuild the parts that can’t carry the load. [Deep dive AI-Enabled Custom Development](https://appstream.studio/solutions/ai-enabled-custom-development.md) - ### Data & knowledge engineering Policies, documents, records, and tribal knowledge turned into structured context a model can reason over, with sources attached. We build the retrieval layer, keep it current, and scope it to what each user is allowed to see. [Deep dive Agent Knowledge Layer](https://appstream.studio/solutions/agent-knowledge-layer.md) - ### Model adaptation & evaluation We choose models per task, tune prompts or weights where it pays, and test against evaluation sets built from your own work. When a better model ships, the evaluations tell you whether to switch. What we build ## Five kinds of agents. Each one named for the work it does. Agents are how much of this engineering shows up in production. Each runs inside your systems, under your permissions, and hands people the calls that need judgment. - [Workflow Agents Automate manual workflows end-to-end Agentic workflows Computer use Explore workflow agents](https://appstream.studio/solutions/agents/workflow-agents.md) - [Knowledge Agents Grounded, cited answers from your data Reasoning systems Multimodal AI Explore knowledge agents](https://appstream.studio/solutions/agents/knowledge-agents.md) - [Customer-Facing Agents Handle inbound at scale Agentic workflows Reasoning systems Explore customer-facing agents](https://appstream.studio/solutions/agents/customer-facing-agents.md) - [Multi-Agent Systems Orchestrated teams of agents Agentic workflows MCP & agent interoperability Explore multi-agent systems](https://appstream.studio/solutions/agents/multi-agent-systems.md) - [Voice Agents Answer the phone at scale Voice agents Agentic workflows Explore voice agents](https://appstream.studio/solutions/agents/voice-agents.md) Process ## How a build runs. Measured at every step. 1. 01 ### Frame Agree the workflow, the users, the systems involved, and the metric that defines success. 2. 02 ### Prove Build the thinnest end-to-end slice against real data and measure it with an evaluation set. 3. 03 ### Harden Add identity, permissions, integrations, failure handling, and observability. 4. 04 ### Roll out Release to a small group, run alongside the old process, then widen as the numbers hold. 5. 05 ### Hand over Move into Operate with us, or to your team with runbooks and dashboards. What you get ## Things you can use. Not a slide deck. - ### A production system Running in your environment, integrated with your systems of record, used by real people. - ### Evaluation suite Test sets drawn from your work, so quality is measured, not asserted. - ### Architecture you own Documented, model-agnostic, and in your repositories from day one. - ### Operating handoff Runbooks, dashboards, and alerts, whether we operate it or your team does. Proof ## Engineer in practice. Shipped and running. [All case studies](https://appstream.studio/case-studies.md) - [Healthcare An AI engine that checks each DME case against Medicare and Medicaid policy before the device ships. Real-time scoring](https://appstream.studio/case-studies/ai-reimbursement-eligibility-engine.md) - [Private Equity A generative AI assistant grounded in HR knowledge consolidated from several acquired companies. 100% of employees](https://appstream.studio/case-studies/enterprise-genai-people-operations.md) - [Proptech A 50-state buy-side marketplace, plus a proof of concept for search that understands what buyers mean. 50 states](https://appstream.studio/case-studies/buy-side-marketplace-agentic-search.md) - [Healthcare A scheduling engine built on top of a legacy EMR, synced over HL7, across 100+ clinics. 250K+ appointments/yr](https://appstream.studio/case-studies/healthcare-scheduling-transformation.md) The rest of the lifecycle ## Related pillars - [01 Advise Know where to apply AI. Find where emerging AI capabilities can create measurable business value, and build the roadmap to get there. Explore Advise](https://appstream.studio/solutions/advise.md) - [03 Operate Keep AI working. Own and continuously improve AI systems after they reach production. Explore Operate](https://appstream.studio/solutions/operate.md) - [Across all three Govern Make AI safe to scale. The controls required to deploy AI across the organization with confidence. Explore Govern](https://appstream.studio/solutions/govern.md) Go deeper - [Agent Engineering](https://appstream.studio/solutions/agent-engineering.md) - [Agent Knowledge Layer](https://appstream.studio/solutions/agent-knowledge-layer.md) - [AI-Enabled Custom Development](https://appstream.studio/solutions/ai-enabled-custom-development.md) - [Workflow Agents](https://appstream.studio/solutions/agents/workflow-agents.md) - [Knowledge Agents](https://appstream.studio/solutions/agents/knowledge-agents.md) - [Customer-Facing Agents](https://appstream.studio/solutions/agents/customer-facing-agents.md) - [Multi-Agent Systems](https://appstream.studio/solutions/agents/multi-agent-systems.md) - [Voice Agents](https://appstream.studio/solutions/agents/voice-agents.md) - [Forward-deployed engineers](https://appstream.studio/forward-deployed-engineers.md) ## Bring us the workflow. We’ll bring the engineers. Talk to the people who would build it. We’ll look at your systems, your data, and your constraints, and tell you what production would take. [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) - [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)