AI product development
Customer-facing and internal AI experiences designed around useful, measurable jobs—not novelty demos.
Hire one integrated product-engineering team to turn a valuable AI opportunity into secure, dependable software—from discovery and proof of concept through production and ongoing operation.
The model is only one part of a successful AI system. We design the surrounding workflow, interface, data connections, evaluation, and operating controls so the result can earn trust and create value. Black Airplane is a product-engineering service firm, not a model vendor or a software platform, so our work includes the product experience and enterprise integrations around the AI.
Customer-facing and internal AI experiences designed around useful, measurable jobs—not novelty demos.
Human-aware automation that connects systems, handles repeatable work, and routes uncertainty to the right person.
Voice interfaces, real-time transcription, and responsive conversational systems engineered for speed and clarity.
Permission-aware retrieval and search that grounds responses in the information your teams and customers trust.
Secure MCP servers and system integrations that let AI assistants work with the applications, data, and workflows you already operate.
Repeatable evaluations, observability, safeguards, and human fallback paths that make AI safer to operate in production.
Model Context Protocol (MCP) is an open standard that connects AI applications to external systems. We build MCP servers and secure integrations that make approved data and actions from your custom platform available to compatible assistants and workplace tools. That can mean finding a record, updating a project, or starting an approval flow without constantly switching context.
Turn the useful capabilities of your platform into clearly defined tools that compatible AI applications can discover and call.
Respect existing identities, roles, scopes, and audit requirements so each person and agent can access only what they are authorized to use.
Design confirmation, review, and fallback into consequential workflows so automation remains understandable and accountable.
When the host supports it, deliver forms, dashboards, and multi-step workflows directly inside the conversation through MCP Apps.
Our team has implementation experience with technologies from OpenAI, Anthropic Claude, Google Gemini, Meta, ElevenLabs and so much more. We select tools according to the product, data, latency, quality, privacy, and cost requirements—not because one vendor fits every problem.