Copilot alternative
Beye vs Copilot: specialized Generative BI, not generic AI
Copilot is a generic AI assistant and not built for data-intensive analytics or real operational decisions. Beye is a specialized Generative BI platform that sits above your existing systems, models data to your business rules, and gives operations, supply chain, and finance teams a conversational workspace for reliable, actionable answers at scale, with most teams live in about a week.
Reliability first BI
A simple way to make AI stick in data-driven workflows
We start with one high-impact business case, connect the systems you already use and get your team hands on in week one. The rest of the proof of value focuses on change management, training and steadily baking your business rules and vocabulary into the model so the workspace feels like it was built for your business.
| Features | Beye | Copilot |
|---|---|---|
| 1. Use case discovery + context-aware workspace day 1 We sit with you to learn how work is done today and agree on one high-impact use case. We define success, set up the workspace with your terms and rules and use our playbook to turn that into a clear decision workflow. On first login your team sees goals, connected data and ready questions and views instead of a blank screen. From there it is self-serve. | Beye: included | Copilot: not included |
| 2. Connecting siloed systems We bring data from WMS, TMS, ERP and other sources into one model so Beye can answer questions across systems. Your team stops pulling reports from each system by hand and spends time on decisions instead of data wrangling. | Beye: included | Copilot: not included |
| 3. Change management and training Adoption starts day one after workspace handoff. In the first hour teams ask questions that matter to them while we sit side by side, show good questions to ask and share prompting and best practices. We run regular touchpoints during the proof of value to support how people use data and make sure the new workflow sticks. | Beye: included | Copilot: not included |
| 4. Refining business rules and KPIs The first month is an iterative partnership. We learn your objectives, how your team asks questions and which KPI definitions matter. You add context and business rules, the system updates in near real time and the knowledge base stays aligned with how your operation actually runs. | Beye: included | Copilot: not included |
| 5. Scaling from the first use case Once the first use case is dialed in, Beye looks at your connected data, goals and question patterns and suggests the next questions and views. We use the same playbook to roll out additional decision workflows so each new use case goes faster and builds on what the team already trusts. | Beye: included | Copilot: not included |
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