Wire your applications straight into the intelligence.

A compliance team handles deadline reminders, consent notices, signed agreements and bank statements every day. ZenithAI is embedded at seven points in e-Filix — drafting communications and reading documents inside the workflow an administrator already uses, instead of a separate tool.

• Alert templates — drafted from allowed variable names; invented placeholders are stripped automatically.
• Consent notices — machine-labelled translation, reviewed and saved by an administrator.
• Signed agreements & bank statements — scanned documents read into searchable text.
• Document cover notes — an editable email or chat message drafted from the file and the user’s instruction.

A broker note, a payment advice and a Bill of Lading describe the same transaction three different ways. Data Ingenious’s commodity trading platform uses ZenithAI to read free-form trade documents and return structured fields to the purchase or sale screen, where the trader checks the draft before saving.

• Broker note → purchase order — parties, quantity, price, dates and terms extracted; matching against master records stays in the application.
• Payment proof → reconciliation — amount, date and reference compared against the invoice, with the difference surfaced, not assumed cleared.
• Bill of Lading — pattern matching first, AI to fill gaps; proposed values checked against the source text.
• Vendor bills & inspection reports — varying layouts read into a consistent, confirmable set of fields.

IntelliMail turns an ambiguous inbox into a decision-ready view: category, urgency with a reason, extracted facts, a one-line summary and an editable reply. Clear-cut messages take a fast rules path; only unresolved messages go to ZenithAI — so the model is used where judgment is actually needed.

• Eight categories — Meeting Request, Financial, Legal, Travel, Pitch Deck, Rewards, FYI, Other.
• Urgency with a reason — not just a label; legal correspondence is urgent by policy, not by guess.
• Reply drafting — a contextual draft with Formal, Professional, Friendly or Brief rewrites, always sent by a person.
• Resilient by design — configured model failover, rate limits and a safe fallback keep the inbox moving.

Godil applies ZenithAI to identity and address document reading during customer onboarding. The model reads printed fields from an uploaded image or PDF — without being told the values it’s being checked against — and application rules compare the reading to the customer’s submission before routing to auto-verification, rejection or a reviewer’s queue.

• Independent extraction — the model reads the document; it never sees the claimed values, so it can’t just confirm what it’s told.
• Rule-based decisions — number format, name matching and address legibility are checked by application logic, not the model.
• Reviewable outcomes — match dimensions, uncertainty and reason codes are recorded; unreadable documents go to manual review.
• Controlled rollout — a feature switch that defaults off, so availability depends on the deployment’s own configuration.