Ask a question, get an answer from your data

Your business already generates a lot of information through jobs, inventory, purchasing, bills of materials and production schedules. The hard part is getting to the right piece of it at the moment someone needs to act.

In many businesses, the answer people trust lives in a planner's spreadsheet, a production manager's whiteboard or a buyer's private tracker. When a decision drags, the cause is often information that's hard to find, interpret or trust.

MaXXflow has built-in conversational AI. It lets authorized users ask questions about operational information in everyday language, the way you'd ask a colleague, and get an answer drawn from the operational data in MaXXflow.

Questions people can ask include:

• Which work orders are at risk this week?
• Which shortages need attention first?
• Which material shortages are affecting planned work?
• What has changed since yesterday?
• Which late supplier lines affect scheduled production?
• Where are the current capacity constraints?
• Where should we focus purchasing attention?
• Which orders need a closer look?
• What should be discussed in today's production meeting?

It's a way to explore exceptions, changes and priorities without knowing which report to run. Questions about job status, inventory risk, overdue actions and production bottlenecks are the kind it's designed for.

Ask MaXXflow is one part of the AI built into MaXXflow, which also summarizes exceptions, drafts follow-ups and explains what has changed. See AI in MaXXflow.

The answers depend on three things: the data available to MaXXflow, the permissions of the person asking, and the workflows configured for your business.

Access in MaXXflow is managed by role, through a privilege matrix that controls what each role can view, create, update and delete in each module. The conversational AI works inside those same controls, so two people asking the same question may see different detail. How roles and permissions are set is covered in Access, permissions and audit trail.

AI doesn't fix information it's given. If BOMs, stock quantities, supplier lead times or item records are inaccurate, the plan built from them may be unreliable, and so will any answer drawn from it.

That doesn't mean your data has to be perfect first. No business has perfect data. It means the core information your first workflow depends on needs to be reliable enough to trust, which is what a data-readiness review sets out to establish. See Getting your data ready.

Treat an answer as a well-informed starting point, and review it in operational context before you make a decision on it.

MaXXflow's AI is decision support, not autonomous decision-making. It can help identify patterns, exceptions, risks and priorities, but your users remain responsible for reviewing the information and approving any operational action.

Say it highlights an item that looks likely to run short, or suggests replenishment should be reviewed. That doesn't mean a purchase gets placed automatically. Whether to buy still depends on supplier conditions, alternative stock, customer priority and what the business needs right now.

That human control matters most where a decision affects cost, stock, production sequencing or a customer commitment. An experienced team still has to judge what an answer means for its customers, resources and commitments.