Anomaly detection
Spot changes that are hard to see one record at a time. Compare activity with usual patterns and surface emerging issues for investigation.
Sound familiar?
Reviewing everything manually
Your team checks every transaction, every document, every submission with the same level of attention, even when many need no action.
Exceptions slip through
When humans review thousands of items, fatigue kicks in. The one that matters gets missed because it looked like all the others.
Inconsistent standards
Different reviewers flag different things. What one person catches, another misses. There’s no consistent baseline.
Slow turnaround
Manual reviews create bottlenecks. Customers wait, processes stall, and the backlog grows faster than the team can clear it.
Compliance pressure
Regulators expect thorough reviews, but your team doesn’t have the capacity to check everything at the level required.
The clues are in different places
A payment looks normal on its own. A changed bank account and an unusual order tell a different story. Connecting those clues takes time your team rarely has.
The longer a serious issue hides, the more it can cost.
12
months
median time an occupational-fraud scheme continued before detection
ACFE · Report to the Nations, 2026 ↗Think about your team
Which exceptions deserve attention first?
Prioritize costly errors and suspicious patterns. Test against past cases and track missed issues as well as false alarms.
ACFE’s 2026 analysis of 2,402 investigated occupational-fraud cases. This shows the stakes of detection, not AI detection accuracy.
What we build.
AI that connects clues across your data, surfaces unusual patterns, and shows your team what deserves a closer look.
Risk scoring
Combine signals from different sources to prioritize what needs attention. Help your team see why something is worth checking, not just a score.
Smart review queues
Put the most important findings first, with the related records and reasons in one place. Your team investigates and makes the final call.
Performance dashboards
Track useful flags, false alarms, and review times. See where the system helps and where it needs adjustment.
Reviewer feedback
Capture which flags were useful and which missed the mark. Use those decisions to evaluate and refine the system over time.
Cross-system checks
Connect clues across orders, payments, documents, and customer records. Surface inconsistencies that no single system reveals.
Explainable findings
Show the signals, source records, and comparisons behind each flag. Give reviewers evidence they can check before acting.
Human approval & audit trail
Keep important decisions with your team. Record what was flagged, who reviewed it, and why they took action.
Alerts & escalation
Send urgent findings to the right person with enough context to act. Escalate unresolved issues when they need a second look.
We’ve done this before.
vIntelligence
Helped teams prioritise security risks with AI analysis.
- Reports, AI guidance, and action
- One workspace
- Teams review proposed fixes
- Human approval
OVB Multiprotokol
Helped protect OVB by routing flagged cases to legal.
- Less time to prepare a client protocol
- 50%
- Client protocols created per month on average
- 11,000+
“The Outloud team combined strong technical skills with a deep understanding of our business needs.”
Marian Pogran, OVB
BCB Cloud
Made service needs clearer with usage-based alerts.
- Machine usage without on-site checks
- Remote data
- Service tasks and technician schedules
- One plan
“Outloud helped us turn a complex telemetry concept into a market-ready product through strong collaboration and agile execution.”
Tomas Oslanec, CEO, Black Control Box
How we get there.
01
Understand your review process
We analyze what your team currently reviews, how they decide, and what patterns distinguish exceptions from routine items.
02
Train the flagging model
Using your historical data and reviewer feedback, we train AI models that learn your specific risk patterns and thresholds.
03
Build the review interface
We build a review queue with context, risk scores, and one-click actions. Designed to make reviewers faster, not replace them.
04
Deploy and improve
We launch with human-in-the-loop validation, monitor accuracy, and continuously improve the model from reviewer decisions.
50+
Projects delivered
10+
Years of experience
4.9*
Rating on Clutch
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Their mindset and flexibility made the collaboration feel like working with an extension of our internal team rather than an external supplier."
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They understood what we were trying to achieve and delivered a website & app we are extremely proud of."
"They provided us with a good source of design foundations, fast delivery, and carefully prepared outputs.
I was extremely satisfied that together we created a product that we can be proud of."
"What impressed us most about this company was their exceptional creative thinking and the innovative ideas they brought to the table.
They demonstrated a unique ability to translate our specific requirements into practical yet imaginative solutions."
