Alternative to Copilot: why choose Ask for the moon?

Alternative to Copilot: why do industrial companies choose Ask for the moon?

Microsoft Copilot is currently one of the most widely used AI assistants in the corporate world. Integrated into Microsoft 365, it saves time on daily tasks such as drafting emails, summarizing meetings, or creating PowerPoint presentations.

For many companies, Copilot represents a first step toward AI adoption.

However, when it comes to more complex business use cases—such as technical support, quality control, compliance, or leveraging industrial knowledge—the limitations of general-purpose assistants quickly become apparent. Many IT departments are therefore looking for a Copilot alternative that is better suited to operational challenges and industrial constraints.

‍

The strengths of Microsoft Copilot

Copilot is particularly effective for office-based tasks. The tool integrates seamlessly into the Microsoft environment and quickly improves individual productivity.

It is especially effective for:

generating slides,
summarizing documents,
drafting content,
assisting users in Excel or Outlook.

For companies already equipped with Microsoft 365, deployment is generally simple and fast. Users find Copilot directly within the tools they use every day, which reduces training needs and accelerates adoption. This native integration is a significant advantage for organizations primarily looking to improve employee productivity in the short term.

The limitations of Copilot in the industrial sector

While Microsoft Copilot provides a real productivity boost for office tasks and general information retrieval, its limitations become clearer in industrial environments, where the stakes regarding reliability, technical expertise, and governance are particularly high.

A lack of industry specialization

Copilot is designed as a general-purpose assistant. It relies primarily on Microsoft 365 data and Microsoft's AI models to answer a wide variety of questions. In the industrial sector, needs are often much more specific. Employees look for precise answers regarding equipment, procedures, standards, technical repositories, or internal feedback. Without structured access to this business knowledge, responses can remain generic or lack context.

Limited control for subject matter experts

The quality of an AI response depends directly on the knowledge it draws from. Yet, in many industrial organizations, subject matter experts want to be able to validate, enrich, and correct the content used by the AI. With Copilot, this control remains relatively limited. Experts have few mechanisms to directly supervise the knowledge being utilized or to finely tune the responses produced. This can complicate the establishment of a trusted framework for critical topics.

Poor capture of field knowledge

A large portion of industrial knowledge is not found in documents. It resides in the experience of technicians, engineers, and operators who solve complex problems every day. Copilot primarily leverages content available within Microsoft 365 tools. Informal exchanges, feedback, and best practices acquired in the field often remain difficult to capture and leverage. As a result, companies risk missing out on a significant part of their knowledge assets.

‍

Sovereignty challenges

Issues related to data hosting, location, and access conditions have become strategic for many industrial companies. In certain sensitive sectors, IT departments seek to maintain tighter control over their information assets and the data flows used by AI solutions. Compliance, security, and sovereignty requirements may therefore necessitate more specific approaches than those offered by default in general-purpose solutions.

Significant costs at scale

The Copilot business model can also be a barrier when it comes to deploying AI to the entire workforce. With a license billed per user per month, the cost remains reasonable for a few dozen or hundred users. However, when the goal is to equip several thousand employees, the annual bill can quickly reach hundreds of thousands of euros. Companies must therefore ensure that the expected productivity gains fully justify this investment.

Microsoft Copilot remains, first and foremost, a general-purpose assistant.

In an industrial context, an imprecise answer can quickly become a problem: incorrect product recommendations, diagnostic errors, or non-compliance risks. Companies therefore need an AI capable of relying on validated and controlled sources.

Another important topic is data sovereignty. Many IT departments want better control over the hosting, governance, and access related to AI tools, particularly in sensitive sectors.

‍

Why choose Ask for the moon?

While Microsoft Copilot excels at improving individual productivity within Microsoft 365, industrial companies often need an assistant capable of leveraging complex business knowledge and providing reliable answers on critical topics.

That is precisely the goal of Ask for the moon.

Unlike general-purpose assistants designed to meet a wide variety of needs, Ask was specifically built for industrial use cases. The platform is capable of understanding and leveraging complex technical documentation, business procedures, product repositories, regulatory standards, and even service histories to provide answers tailored to operational field challenges. The goal is not to replace experts, but to give them faster access to the right information.

If you would like to objectively evaluate the differences between Copilot, general-purpose assistants, and business-specific assistants, you can consult our comprehensive AI benchmark.

‍

Capitalizing on expert knowledge

In many industrial companies, a significant portion of critical knowledge is not found in documents. It resides in the experience of technicians, engineers, and experts who solve complex problems in the field every day.

With retirements and recruitment challenges in certain trades, the transfer of this knowledge has become a strategic issue. Yet, the answers provided by experts are often scattered across emails, tickets, Teams conversations, or informal exchanges, and are not reused at the company level.

Ask for the moon allows you to capture and gradually capitalize on this business knowledge. When an expert answers a question, their response can be validated and then integrated into the company's knowledge base to be reused for future requests. The assistant thus enriches itself continuously while maintaining a high level of control and reliability.

The company no longer just exploits its existing documentation: it gradually transforms the tacit knowledge of its experts into a lasting knowledge asset, accessible to all employees.

An AI that knows how to say "I don't know"

In the industry, an imprecise answer can have significant consequences. With Ask for the moon, only business experts choose, validate, and maintain the knowledge sources used by the AI. The generated answers rely exclusively on content approved by the company, ensuring a higher level of reliability and trust.

Ask for the moon puts humans at the heart of the decision-making process. AI recommendations can be reviewed, validated, or enriched by business teams before being used. This collaboration between AI and experts makes it possible to reconcile productivity gains, reliability, and compliance.

An AI designed for industrial use

Ask is particularly well-suited for use cases where business knowledge is central:

maintenance
quality
technical support
regulatory compliance
product consulting

Why? Because industrial issues often require much more than a simple document search.

Employees must navigate thousands of pages of technical documentation, understand complex procedures, interpret diagrams, or cross-reference information from multiple repositories. Where general-purpose assistants tend to provide generic answers, Ask has been designed to effectively leverage this complex business knowledge.

The platform is capable of understanding rich industrial documents that combine text, tables, diagrams, and charts, allowing it to draw on all available information, not just textual content. It also retains the global context of documents, even when they span thousands of pages.

Ask also integrates advanced reasoning mechanisms to answer complex questions that require multiple steps of analysis. The assistant is capable of interpreting industry jargon, cross-referencing multiple sources of information, and progressively building a contextualized response, just as a human expert would.

The goal is not just to save time, but to directly improve operational performance by reducing the time spent searching for information, accelerating the resolution of complex requests, and facilitating team upskilling.

A sovereign approach

Companies retain control over their data, access, and AI governance. This has become a strategic priority for industrial organizations looking to deploy AI while managing their security and compliance requirements.

‍

Comparison table: Copilot vs. Ask for the moon

Criteria	Microsoft Copilot	Ask for the moon
Primary use case	Productivity assistant for Microsoft 365	AI assistant designed for industrial environments
Knowledge sources	Microsoft 365 documents and data	Technical documentation, procedures, standards, lessons learned, and expert knowledge
Domain reasoning	Limited on complex or multi-step questions	Advanced reasoning tailored to complex industrial challenges
Industrial documents	Can analyze documents but is less suited to complex technical documentation	Processes large technical documents, tables, diagrams, and charts
Reliability	May generate generic or inaccurate responses depending on the context	Source-backed, contextualized responses with the ability to say "I don't know"
Knowledge capture	Limited support for undocumented knowledge	Captures and continuously reuses expert knowledge
Data sovereignty	Dependent on the Microsoft ecosystem	Enhanced control over data, access management, and AI governance