Lufios agents reach the right people on WhatsApp, Slack and email to surface the reason behind every ERP and BI anomaly, then turn it into trackable follow ups and a searchable operational memory.
Lufios continuously watches the KPIs, anomaly outputs, and reports you already track in Tableau, Power BI, your ERP, or SQL. It learns your team and knows who covers which customer, region, supplier, or warehouse, so the right person hears about the right issue. For every report template our routings are predefined, and they run to surface the root cause.
When an anomaly fires, Lufios reaches the person who knows on WhatsApp, Slack, Teams, or email. No new app to learn, no forms to fill out. Just a focused, contextual question on the channel they already use.
Hi Burak. SKU-2201 has been sitting idle for 45 days at Istanbul warehouse. Anything you'd flag?
Customer ABC pushed their bulk order to Q3. We can transfer 200 units to Ankara to balance demand there.
Logged. I'll re-check the transfer status next Monday.
Replies become structured records: root cause, affected entities, who is responsible, what was promised, when to follow up. Lufios remembers everything and surfaces history when problems recur.
Apex Corp's monthly order volume dropped 15% versus last month.
A competitor launched a 15% discount campaign last month, so Apex pulled back orders; Julian is visiting Apex tomorrow to renegotiate pricing and expects to win the account back.
For every report template our checkpoints and routings are predefined. When an anomaly fires, Lufios runs this checkpoint tree before bothering anyone: each answer decides the next question or the path to the right team.
So the AI applies every report in our catalog through those predefined checkpoints and routings; much like a data scientist, it learns the reasons behind each anomaly without asking or routing a single person, and tracks them from the start.
Anomalies become questions.
Replies become real causes.
Causes become action-ready records.
The 300 open threads stop living in your head. Lufios holds them all and surfaces each one when it needs you.
| id | source_analysis | anomaly | asked_to | asked_at | response | status |
|---|---|---|---|---|---|---|
| #A106 | AR | Apex Corp 68 days overdue | Mehmet Y. | 2026-05-08 07:12 | Credit limit cut 50% | done |
| #A105 | Stock | SKU-2201 idle 45 days | Warehouse | 2026-05-08 07:00 | Transferred to Ankara | done |
| #A104 | Supply | 38 orders delayed | Procurement | 2026-05-07 09:15 | Alt. supplier approved | done |
| #A103 | Legal | Vantage Inc. $125K | Sarah M. | 2026-05-07 09:15 | Legal process initiated | done |
| #A102 | Stock | SKU-1455 idle 32 days | Warehouse | 2026-05-06 07:00 | 15% discount applied | done |
| #A101 | Supply | Container at customs | Alex P. | 2026-05-06 08:30 | Customs cleared | done |
Every reply lands typed, structured, and queryable. Build your own ops agents on top through the upcoming API.
#makesmthagentswantManagers used to burn two to three hours every morning chasing people for the reason behind every anomaly. Lufios runs that loop overnight, so the answers are already on your screen at 8am.
ERP, SQL, and BI carry only about 55% of the data your operations need. The other 45% lives outside your systems, in WhatsApp messages, phone calls, your team's heads. Lufios closes that gap and turns it into structured records.
Pure ML root cause guesses what might have caused a dip from data alone. Lufios asks the person who actually saw it, in their own words, and writes the answer down as a structured record.
Across the dozens of cases tracked in parallel, about 65% slip and get forgotten with manual follow up; each one is an uncollected receivable, a missed delivery, an action left open. Lufios holds every one and resurfaces it on time, so the forgotten rate drops to zero. That is real money recovered and a heavy load lifted off managers.
How Lufios captures the operational context behind every anomaly.
Lufios is an AI layer for operational case tracking. When ERP, BI, or SQL data shows that something is off (a sales drop, a stock out, a late payment, a delivery delay) Lufios reaches the right person on WhatsApp, Slack, Teams, or email, asks the question that surfaces the real cause, parses the answer, opens follow ups, and stores the result as a searchable operational memory.
BI tools show you what happened. They are very good at surfacing the number that broke. Lufios sits on top of those signals and goes after the why, which lives in people's heads, not in the database. We do not replace dashboards. We close the loop between a dashboard alert and a documented root cause.
No. Lufios reads from your existing ERP, SQL, API, BI dashboard, Excel report, or any KPI logic you have already defined. SAP, Logo, Mikro, Netsim, anything you run today stays exactly where it is. Lufios is the layer that captures the human context your ERP cannot store.
During setup we map your team, regions, customers, suppliers, and SKU ownership. When an anomaly fires, Lufios routes the question to the person closest to it (the sales rep, the regional manager, the warehouse lead, the planner, or the finance owner). If that person says "ask Ayşe," Lufios reroutes. If nobody answers in time, it escalates.
No. Lufios uses the channels your team already lives in: WhatsApp, Slack, Teams, and email. Questions are short and contextual. No long forms, no new dashboard. Your team replies in a sentence or two, and Lufios takes care of the structuring.
Every closed loop becomes a structured record: which anomaly fired, who was asked, what they answered, the root cause category, the customers, SKUs, regions, or suppliers involved, who is acting, what was promised, the follow up date, and whether the same issue has happened before. Managers stop asking "why did this break again?" because the answer is already searchable.
Security is foundational. All data is encrypted in transit and at rest. We never use your data to train AI models and we do not collect personal data. Lufios works exclusively with business and operational data. We are GDPR and KVKK compliant, with SOC 2 and ISO 27001 in progress.

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