How Aviation Companies Use AI in nuwacom

Airlines, airports, MROs, and suppliers can work productively with AI in many areas. With agents, workflows, and skills, they can redesign processes and work steps wherever manual work currently takes place across websites, documents, spreadsheets, emails, and internal systems.

With nuwacom, companies can connect corporate knowledge, skills, agents, workflows, and integrated systems in a centrally managed AI environment. This creates repeatable processes with clear rules and human approvals, rather than individual prompts without shared context.

In this article, we present several setups for the aviation industry. These deliberately exclude safety-critical and EMEA-related processes.

Which AI agents and workflows can aviation companies implement with nuwacom?

With nuwacom, airlines can structure recurring research, analysis, and document processes as skills, agents, and workflows. This is particularly useful for tasks that follow fixed rules, recur regularly, and access corporate knowledge or connected data sources.

Agent templates are already available in nuwacom for individual tasks, such as the Competitive Intelligence Agent, the Product Research Agent, and the Document Intelligence Agent.

How can airlines monitor competitor prices with nuwacom?

With nuwacom, a Fare Intelligence workflow can be set up to regularly process approved public, licensed, or API-provided price data and summarize relevant changes for pricing, revenue, or commercial teams.

One possible process:

1. Define routes, competitors, travel periods, cabin classes, and fare types.

2. Connect permitted price or market data through an existing data source.

3. A skill defines which fares are comparable and which thresholds apply.

4. An agent identifies relevant price, product, or fare changes.

5. A workflow starts the analysis at scheduled times.

6. Only changes above the defined thresholds are passed on.

7. The responsible team reviews the findings and decides on possible consequences.

The nuwacom Workflows handle the process logic, AI Skills define the comparison rules, and Agents perform the analysis.

In this example, nuwacom is the AI and orchestration layer; the data comes from defined sources. Which price and market data can be processed depends on the company's available and permitted data sources.

What could a Fare Intelligence skill in nuwacom look like?

A nuwacom Skill defines the rules according to which the agent evaluates price and fare data. This means the team does not have to rewrite the working method in a prompt for every execution.

One possible skill includes:

• relevant routes and airlines

• cabin class and fare type

• rules for comparable offers

• thresholds for relevant price changes

• handling of missing or non-comparable data

• mandatory source and collection timestamp information

• desired output format

• clear limits on which decisions must not be automated

For each route, the output can concisely include:

• route

• monitored airline and fare type

• current price

• change since the previous run

• relevant changes to fare conditions

• source and time of data collection

The workflow can then create a daily or weekly competitive briefing covering multiple routes.

How do context, skills, agents, and workflows work together in nuwacom?

nuwacom separates the different layers of an AI process so that companies do not have to build an isolated system for every use case.

Context Engine: Provides approved corporate knowledge for chat, apps, agents, and workflows.
Skill: Defines rules, review steps, mandatory fields, and output formats.
Agent: Performs a clearly defined task based on approved context.
Workflow: Connects triggers, conditions, agents, integrations, and human approvals into a repeatable process.

The Context Engine and Connectors allow existing knowledge bases and business systems to be integrated into these processes.

This turns “Ask the AI” into a controlled workflow based on the same standards every time it runs.

How is Lufthansa Group already using nuwacom in practice?

Lufthansa Group already uses nuwacom for AI-supported knowledge research in its corporate archive. Around 400 communications and marketing professionals work with nuwacom in total.

The nuwacom-based assistant “LuCi” enables research in the digitized corporate archive, which contains more than 100,000 documents dating from 1919 to the present day. Employees can ask complex research questions and view the underlying sources.

Before production deployment, areas including the data foundation, data protection, IT security, AI governance, source references, UX, and employee participation were addressed.

The Lufthansa Group Case Study therefore illustrates a concrete pattern for productive AI use in aviation: define a clear use case, connect relevant knowledge sources, clarify governance, and then scale in a controlled manner.

The article Knowledge Management with AI at Lufthansa describes the specific knowledge management setup in more detail.

How can airlines, airports, and MROs make internal knowledge available to AI agents?

Through the nuwacom Context Engine, approved documents and connected business systems can serve as a shared knowledge base for agents and workflows.

This is relevant, for example, for:

• policies and process descriptions

• historical project documents

• contracts and supplier documents

• internal presentations

• product and service information

• approved communication materials

• documented decisions

As a result, an agent does not work solely with general model knowledge but can handle the respective task in the company's context.

How can aviation companies process RFPs and supplier documents with nuwacom?

With nuwacom, RFPs, tenders, and supplier documents can be structured as an AI-supported review process.

For example, an agent can:

• extract requirements from documents

• match existing internal information

• flag missing information

• compile supporting evidence in a structured format

• prepare a draft response

A skill defines the review logic, the Document Intelligence Agent handles document analysis, and a workflow can involve specialist departments or procurement at defined approval points.

The final review remains the responsibility of the relevant people.

How can aviation companies maintain control over AI agents?

nuwacom combines agents and workflows with centralized governance. Roles, access permissions, and model approvals can be managed centrally, while teams use their own AI applications within their permissions.

The following are particularly relevant for production enterprise workflows:

• approved knowledge sources

• roles and permissions

• defined skills

• controlled model approvals

• traceable workflows

• human-in-the-loop steps

• integrations with existing systems

• review of data protection and regulatory requirements

The nuwacom AI Governance page and the page on agentic AI in aviation provide further information.

When is nuwacom the right AI platform for aviation companies?

nuwacom is particularly relevant when an airline wants to provide more than individual AI chats and instead run corporate knowledge, reusable standards, agents, workflows, and integrations on a shared platform.

Before selecting a platform, companies should consider questions including:

• Can the AI access approved corporate knowledge?

• Can the company's own standards be defined as skills?

• Can agents handle multi-step tasks?

• Can recurring processes be scheduled?

• Are human-in-the-loop approvals possible?

• Can different models be used for different tasks?

• Can existing systems be connected?

• Can roles and model approvals be managed centrally?

• Is there a clear path from pilot to regular operations?

This assesses not only whether a model produces good answers, but also whether the platform fits into the existing enterprise environment.

How can aviation companies get started with AI agents from nuwacom?

With nuwacom, an airline can first implement a clearly defined process and then extend the same approach to other teams and use cases.

A sensible starting point:

1. select a frequent, clearly defined process

2. define the required knowledge and data sources

3. document the working standard as a skill

4. test the agent and workflow with human oversight

5. measure time savings, quality, and acceptance

6. only then connect additional processes

Anyone who wants to discuss a specific aviation use case can map out the process together with the team through the nuwacom Demo.

How much does nuwacom cost for airlines, airports, and MROs?

nuwacom offers Business and Enterprise plans. For larger airlines, airports, and MROs, the Enterprise offering is often relevant when custom integrations, company-wide governance, hosting options, SLAs, or dedicated onboarding are required.

Current terms are available on the nuwacom Pricing page.

Summary

With nuwacom, airlines can connect corporate context, skills, AI agents, workflows, integrations, and governance on a shared platform.

Particularly relevant use cases include:

• competitor and price monitoring

• route and market monitoring

• RFPs and tenders

• supplier and document review

• knowledge research

• Customer Feedback Intelligence

• communications

• Account Research

The crucial step is not to build as many agents as possible. It makes more sense to start with a clear, recurring process that delivers measurable value, bring it into production in a controlled manner, and then scale it.