The first half of 2026 was a busy one at Inscribe. We shipped new capabilities that help financial institutions detect document fraud faster, investigate suspicious applications with agentic AI, define institution-specific risk signals, and bring document fraud detection directly into existing decision workflows.
Document fraud is evolving quickly as fraudsters use generative AI to create and manipulate financial documents. Effective document fraud detection now requires more than isolated detectors. It requires agentic AI that can evaluate evidence across documents, reason about suspicious patterns, and explain why an application appears risky. These releases continue our investment in helping banks, credit unions, fintechs, and lenders catch more fraudulent documents while reducing manual review.
Here's a look at what's new.

Risk teams often need a second opinion during a review. That might mean understanding why a document was flagged, checking whether bank statement activity aligns with policy, reconciling figures across documents, or looking for signs of coordinated fraud across multiple submissions. The Assistant is built for those moments.
You can ask the Assistant questions in plain language and get answers grounded in the documents, fraud signals, and customer information already available in your Inscribe workspace.
For example, you can ask:
The Assistant can also perform calculations, reconcile figures across documents, and help investigators quickly understand the context behind a fraud signal without jumping between screens or manually reviewing every document.
Available throughout the Inscribe web app, the Assistant can be accessed from the top-right corner of any screen, the Customer view, the Document view, or directly from a fraud signal. Wherever you're investigating risk, it's only a click away.
The result: Reviewers spend less time gathering context and more time making decisions.

Off-the-shelf detection can only tell you what a platform was trained to flag. But every institution has its own risk policies, thresholds, and fraud patterns. A transaction that looks suspicious to one lender may be expected behavior for another.
Custom Transaction Insights let your team define exactly what bank statement activity you want Inscribe to detect.
You can build rules based on transaction categories, merchants, payment processors, payment methods, transaction amounts, timeframes, and much more.
For example, you might create signals that:
Before deploying a signal, you can backtest it against your existing applicant population to understand how many customers would have been flagged and evaluate its effectiveness.
Once your signals are live, Inscribe continuously analyzes transaction activity automatically. Analysts no longer need to manually review statements for institution-specific criteria or maintain separate review checklists.
Instead of relying solely on generic fraud indicators, your team can evaluate bank statements through the lens of your own policies and risk appetite.
The result: More consistent reviews, less manual analysis, and document fraud detection tailored to your business.

Fraud patterns change over time, and document fraud detection should be able to change with them.
The Decision Engine gives risk teams more flexibility to tune Inscribe around the fraud they're seeing, rather than relying on a fixed set of rules built for a generic risk profile.
You can:
As your team learns which signals are most predictive of fraud, the Decision Engine allows you to refine how those signals influence decisions.
Result: Document fraud detection that becomes more precise over time, helping reduce false positives, catch more true fraud, and better reflect how risk actually appears in your application queue.

For teams using Taktile to manage decision workflows, Inscribe's agentic document fraud detection is now available directly inside the Taktile platform.
This makes it easier to evaluate documents earlier in the decision process, automatically route legitimate applications through faster paths, and focus manual review resources on the highest-risk submissions.
By bringing Inscribe directly into existing workflows, teams can operationalize fraud signals without adding additional review steps or requiring analysts to switch between platforms.
Result: Faster decisioning, fewer workflow handoffs, and more consistent fraud controls across the application lifecycle.

I'll admit some bias on this one. I love and only use dark mode, so it felt worth calling out! It's a small addition compared to some of the releases above, but one that makes review sessions a little easier on the eyes.
Inscribe now supports a consistent light and dark mode experience across the application, automatically adapting to your browser settings. Current and future experiences are designed to work seamlessly across both themes.
Result: A more comfortable review experience for analysts investigating applications and documents.
Whether you're looking to speed up investigations with our Assistant, create institution-specific transaction signals, fine-tune fraud detection logic, or embed Inscribe directly into your decision workflows, we'd love to show you what's new.
If you're an existing customer and would like a walkthrough of any of these releases, reach out to your Customer Success manager. If you're new to Inscribe, book time with our team!
You can also explore our Demo Center or read the full 2026 Document Fraud Report.
Stephanie Spangler is the Head of Product Marketing at Inscribe, where she covers AI-powered fraud detection, document risk, and how financial institutions are adopting agentic AI. She writes on the intersection of product and practice — translating what fraud detection technology does into what it means for the risk teams using it.
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