Question 1

What is iyibir Copilot?

Accepted Answer

iyibir Copilot is an enterprise intelligence layer that works with your Logo ERP data through natural language. It helps users get answers, interpretation and decision support without searching through reports, screens and menus.

Question 2

Who is it built for?

Accepted Answer

It is designed for business owners, managers, operations teams, ERP administrators and consultants. The goal is to make ERP knowledge easier to use in daily decisions.

Question 3

Which ERP systems does it support?

Accepted Answer

The current focus is the Logo ERP ecosystem. The platform architecture is designed so it can expand to other enterprise systems; supported systems are finalized by project scope.

Question 4

How is it different from ChatGPT?

Accepted Answer

It is not a general-purpose chat experience. iyibir Copilot is positioned to produce enterprise decision support by considering your ERP context, user permissions and real company records.

Question 5

Which LLM providers are supported?

Accepted Answer

The model layer is designed not to depend on a single provider. During implementation, the right provider is selected based on security, cost, performance and data policy requirements.

Question 6

Do I have to use OpenAI?

Accepted Answer

No. OpenAI is a strong option, but the architecture is approached in a way that can evaluate other providers better aligned with the organization’s compliance or deployment needs.

Question 7

Can Azure OpenAI be used?

Accepted Answer

Azure OpenAI is among the architectures that can fit organizations with enterprise identity, region and compliance requirements. The final model and deployment choice is made during implementation planning.

Question 8

Are Claude or Gemini supported?

Accepted Answer

The platform approach aims to make different model providers evaluable. Claude, Gemini or similar models are considered based on company policy, integration needs and the product roadmap.

Question 9

Can different models be added in the future?

Accepted Answer

Yes, our goal is to keep the model layer flexible. As new models emerge, organizations should be able to evaluate suitable options without rebuilding the full Copilot experience.

Question 10

Is my data used to train models?

Accepted Answer

No. Your enterprise data is not stored at the AI provider and is not used for general model training.

Question 11

Where is my data processed?

Accepted Answer

Your enterprise data does not stay with the AI provider; it is not stored on the provider's side. Your conversation history is kept on Copilot's side. Your deployment model - cloud, on-premise or hybrid - is decided together based on your data policies.

Question 12

Are user permissions preserved?

Accepted Answer

Yes. Copilot enforces per-user access and permission boundaries; not every user can reach every piece of data.

Question 13

Does Copilot consider ERP permissions?

Accepted Answer

Yes. ERP-side user, role and data access rules are reflected directly in Copilot's answers and transactions; permission enforcement is a built-in part of every implementation.

Question 14

What data are answers based on?

Accepted Answer

Answers are produced from Logo ERP records, defined knowledge sources and the enterprise context the user is allowed to access. The goal is sourced and auditable answers, not generic guesses.

Question 15

Can it show sources?

Accepted Answer

Yes, showing the record or data source behind an answer is an important product principle. This lets users verify not only the result, but also the reasoning behind it.

Question 16

Can it run in the cloud?

Accepted Answer

Yes, cloud architecture is among the deployment options that can be supported. The choice depends on data security, access, integration and maintenance needs.

Question 17

Can it be installed on-premise?

Accepted Answer

Yes, on-premise deployment is available. It's the preferred choice for organizations that need an internal server, especially where data residency and closed-network requirements matter.

Question 18

Is hybrid architecture supported?

Accepted Answer

Yes, hybrid architecture is supported. It covers deployments where your ERP data stays on-premises while the AI and management layers run in the cloud under controlled access.

Question 19

Can I run it on Azure?

Accepted Answer

Azure-based deployments can be a suitable option for companies with enterprise identity, networking and security needs. The final architecture is designed around your existing infrastructure and compliance expectations.

Question 20

How long does implementation take?

Accepted Answer

The timeline depends on your Logo environment, data access, permission model and target scenarios. A clearer implementation plan is prepared after the demo or intro call.

Question 21

Can Copilot perform transactions?

Accepted Answer

Yes. Copilot prepares a transaction draft for your request, presents it as a preview with its reasoning, and writes it to Logo ERP only with your explicit approval. Beyond answers and decision support, it works as an agent that manages your ERP.

Question 22

Do transactions happen automatically?

Accepted Answer

No, critical operations never happen automatically without user approval. Copilot prepares the transaction draft and previews it with its reasoning; the transaction completes only with your explicit approval. This isn't a gap - it's a deliberate design principle: control always stays with the user.

Question 23

Is user approval required?

Accepted Answer

Yes, control should remain with the user, especially for actions affecting orders, prices, accounts, inventory or finance. Copilot prepares and explains; the user approves.

Question 24

Can multiple areas of expertise work together?

Accepted Answer

Yes, the product vision is to evaluate a single question across multiple business areas. For example, a delivery question can consider inventory, purchasing, production and customer risk together.

Question 25

Which departments can it work with?

Accepted Answer

Finance, sales, purchasing, inventory and production planning are priority areas because they generate ERP data. Scope can expand based on the company’s processes and Logo usage.

Question 26

What is Copilot Studio?

Accepted Answer

Copilot Studio is the management and development layer where the iyibir Copilot experience is shaped around each business. It is not the daily chat screen; it is where the rules, capabilities and connections of enterprise intelligence are designed.

Question 27

Can we create our own areas of expertise?

Accepted Answer

The platform approach is designed to support company-specific expertise definitions. Which areas become active is determined by project scope and the permission model.

Question 28

Can new capabilities be added?

Accepted Answer

Yes, a core purpose of Copilot Studio is controlled capability expansion. These capabilities can include expertise that reaches ERP data, enterprise service connections or internal knowledge sources.

Question 29

Can company-specific workflows be defined?

Accepted Answer

Our goal is to adapt cross-department workflows, approval steps and decision rules to each organization. This area is handled gradually based on operational maturity.

Question 30

Can different data sources be connected?

Accepted Answer

ERP is the primary source, but the platform architecture is designed to evaluate different enterprise knowledge sources. Connection scope is planned around security, access and data quality.

Question 31

Will voice usage be supported?

Accepted Answer

Voice usage is an experience area that can be evaluated within the long-term vision. Today’s priority is reliable data access, correct context and auditable answer quality.

Question 32

Will other ERP systems be supported?

Accepted Answer

Today, the Logo ERP focus remains. Future releases may evaluate working with other ERP and enterprise systems within the platform architecture.

Question 33

Can the enterprise intelligence ecosystem expand?

Accepted Answer

Yes, the long-term goal is for Copilot to become not only a ready-made product, but an enterprise intelligence organization that expands around the business. This expansion is handled together with controlled capability addition, security policies and approval mechanisms.

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