The back office your team actually lives in
An operator console is the back office your staff use eight hours a day. The aineobit console is real-time, opinionated, permissioned to the report, and wired to an AI copilot that turns anomalies into one-click actions.
<900ms
p95 event-to-tile latency
6
brands per login, no context loss
80
concurrent operator seats tested
99.99%
console availability, 24-month rolling
Click through the live console
Switch views in the sidebar: overview, player intelligence, AI dealer operations, risk, and payments. The numbers move because the demo runs a live simulation of an operator doing €250k of GGR a day.
Overview
All brands · Last 24h · Europe/Malta · updated just now
GGR (24h)
€248,390
+12.4% vs yesterday
Active players
9,240
+4.1%
AI tables live
34
+4 opened
Hold %
5.82%
-0.14pp
GGR trend · 28 days
EURLive activity
realtimeRevenue by vertical
24hBrand performance
6 brandsSix roles, one console
Each surface is designed around a specific job, and every one reads from the same event stream.
For the CEO
One board-ready view across every brand, market, and currency, with cohort-level attribution that shows which mechanic produced which uplift.
For the Head of Casino
Game-level GGR, RTP drift alerts, lobby ordering experiments, and AI table demand forecasting, with one-click capacity changes.
For the CRM lead
AI segments recomputed hourly, a next-best-action queue per player, and campaign lift measured against a held-out control group by default.
For Risk & Compliance
Graph-model alerts with confidence scores, automatic stake caps, SAR drafting, and an immutable action log that satisfies an MGA or MGCB audit request in minutes.
For Finance
Double-entry settlement ledger, PSP-level economics, chargeback and payout reconciliation, and scheduled exports straight into your ERP or data warehouse.
For Support
Full player timeline (every bet, bonus, payment, and round replay) so a first-line agent resolves a dispute without escalating to engineering.
From 'something looks wrong' to 'fixed' in one click
The copilot detects a deviation, names the cause, proposes a reversible change, and shows the expected effect before you apply it.
Signal
Bonus BR-118 net cost up 3.1× over 48h
- Cause
- Wagering requirement 20x is below the abuse threshold for this segment
- Proposed
- Raise wagering to 35x for new opt-ins only
- Expected
- ≈ €2.4k/day recovered · 0 impact on existing balances
Signal
EU card approval rate fell to 71%
- Cause
- PSP Alpha issuer declines concentrated on two BINs
- Proposed
- Reroute EU card traffic to PSP Beta for 6 hours
- Expected
- ≈ +23pp approval · €4.2k deposits recovered
Signal
Blackjack demand +34% at 02:00 CET
- Cause
- Forecast under-provisioned after a Brazil campaign launch
- Proposed
- Pre-warm 6 additional AI Blackjack tables
- Expected
- ≈ 0 queue time · +€4.1k GGR overnight
Real-time infrastructure
The console is a thin surface over the same streaming platform that runs your wallet, your tables and your risk engine. That is why the numbers agree with each other.
Streaming over batch
Every tile is fed by an event stream with sub-second propagation. There is no overnight job, no 'data as of yesterday', and no separate BI tool to reconcile against.
Permissions down to the report
Role-based access with per-brand, per-market, and per-report scoping. Every view, export, and override is written to a tamper-evident audit log with the actor and reason.
Multi-brand by design
Run six brands across three jurisdictions from one login, switch context in a click, and compare them side by side without duplicating configuration.
Exports and warehouse sync
Scheduled CSV/XLSX exports, a read-only reporting API, and native connectors into Snowflake, BigQuery, and S3 so your analysts work on the same numbers we do.
Open API parity
Everything the console does is available over the REST and WebSocket API. Build your own internal tooling on top without waiting for a UI release.
Built for the on-call phone
The console is fully responsive, with push and email alerting on thresholds you define: approval-rate drops, liability spikes, RTP drift, RG triggers.
Measured across the aineobit network
Median change reported by operators in the first two quarters after moving their back office onto the aineobit console.
−71%
time to answer a regulator data request
−48%
manual reports rebuilt in spreadsheets
+37%
ARPU after AI segmentation went live
0.38s
median risk detection to action
Console specification
Load a month of your own numbers
In a 45-minute session we connect a sample of your data to a sandbox console so you can judge it on your brands, your markets, and your edge cases.