Services

AI Application Development & Automation

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.

What we build

Production AI designed for the work around it

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.

AI product development

Customer-facing and internal AI experiences designed around useful, measurable jobs—not novelty demos.

Workflow automation & agents

Human-aware automation that connects systems, handles repeatable work, and routes uncertainty to the right person.

Voice & real-time experiences

Voice interfaces, real-time transcription, and responsive conversational systems engineered for speed and clarity.

RAG & intelligent search

Permission-aware retrieval and search that grounds responses in the information your teams and customers trust.

MCP & product integrations

Secure MCP servers and system integrations that let AI assistants work with the applications, data, and workflows you already operate.

Evaluation, monitoring & fallback

Repeatable evaluations, observability, safeguards, and human fallback paths that make AI safer to operate in production.

How we work

Start with the outcome. Prove it. Then scale it.

  1. 1. Discovery. Map the workflow, risk, data, security boundaries, and success metric before choosing a model or architecture.
  2. 2. Proof. Build a focused proof of concept and test usefulness, quality, speed, cost, and failure modes with real scenarios.
  3. 3. Production. Engineer the product experience and enterprise integrations, add evaluation and monitoring, and define human approval and fallback paths.
  4. 4. Operate. Monitor reliability, security, cost, and business outcomes, then use production evidence to improve the system safely.
MCP & agent integrations

Put your software to work inside the tools your team already uses

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.

Custom MCP servers

Turn the useful capabilities of your platform into clearly defined tools that compatible AI applications can discover and call.

Permission-aware access

Respect existing identities, roles, scopes, and audit requirements so each person and agent can access only what they are authorized to use.

Human-controlled actions

Design confirmation, review, and fallback into consequential workflows so automation remains understandable and accountable.

In-context experiences

When the host supports it, deliver forms, dashboards, and multi-step workflows directly inside the conversation through MCP Apps.

Experienced across the AI stack

Model-flexible, product-minded delivery

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.

What services are you looking for?

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