Put intelligence inside
the governed flow.
Use AI for classification, extraction, anomaly detection, recommendations, and branching—surrounded by business rules and human control.
AI without orchestration is another silo.
A model can interpret a document or suggest a decision, but business value appears when that intelligence is connected to trusted data, explicit policy, downstream action, and a visible audit trail.
Everything the flow needs to hold together.
Designed around the full process—not a single isolated task.
Document understanding
Read, classify, and extract from PDFs, email, images, scans, and forms.
Context-aware mapping
Use meaning—not only position—to align fields and structures.
Anomaly detection
Surface unexpected values and patterns before they create downstream errors.
Decision nodes
Use AI-assisted recommendations inside explicit workflow conditions.
Human-in-the-loop
Route uncertain or high-impact decisions to the right reviewer.
Auditable outcomes
Keep AI activity inside the same permissions, logs, and run history.
AI automation,
made visible.
This page-specific operating view brings the workflow, its owners, and its outcomes into one clear workspace.
Put intelligence inside
A visible path from input to outcome.
Each step stays traceable, recoverable, and owned.
Ground
Bring the model the approved records and business context it needs.
Interpret
Classify, extract, compare, or recommend within the process.
Guard
Apply confidence thresholds, rules, permissions, and review paths.
Act
Trigger downstream transactions, updates, notifications, or approvals.
Automation your team can see, trust, and improve.
Pick one process.
Build a reusable foundation.
What teams usually ask.
Clear guidance for evaluating fit, scope, ownership, and the path to production.
Does AI replace workflow rules?＋
No. AI complements deterministic rules. Teams decide where probabilistic interpretation helps and where explicit conditions or human review must remain.
Can AI work with ERP and CRM data?＋
Yes. Zaptiva can combine model-assisted steps with data and actions from connected enterprise systems.
How are uncertain results handled?＋
Flows can use confidence thresholds and route ambiguous or high-impact outcomes to review before downstream action.
Ready to put ai automation into motion?
Bring us one stubborn workflow. We’ll show you a practical way forward.