AI Automation

Build AI automation your business can trust.

From document processing to data workflows to back-office operations — AIONDATA builds AI automation that runs in production with human oversight, full audit trails, and enterprise-grade security. Not scripts. Not demos. Systems.

What's included

Document Processing Automation

Schema-driven extraction, classification, and routing for invoices, claims, contracts, and mortgage files — thousands of documents per hour with human review where it matters.

Workflow & Process Automation

Multi-step business processes automated end to end: intake, validation, enrichment, approval routing, and system-of-record updates.

Analytics & Reporting Automation

Replace manual report building with natural-language analytics — scheduled boardroom-ready outputs generated from live data with 99.9% accuracy.

35+ Enterprise Connectors

Automations plug into the systems you already run: Snowflake, PostgreSQL, BigQuery, Salesforce, dbt, SQL Server, Oracle, MongoDB, and more.

Human-in-the-Loop Design

Confidence thresholds, review queues, and exception handling built in — automation that accelerates your team instead of gambling with it.

Governed by Default

Every automated action is logged and auditable. Row-level security, tenant isolation, and encryption come standard — your data never trains AI models.

How we work

  1. Map the Workflow

    We document the manual process — inputs, decisions, exceptions, systems touched — and quantify the cost of the status quo.

  2. Design the Automation

    Choose the right mix of AI models, rules, and human review points. You approve the design and the success metrics before we build.

  3. Build & Validate

    We build against your real documents and data, measure accuracy transparently, and tune until the numbers hold.

  4. Deploy & Monitor

    Production rollout with dashboards, alerting, and audit trails. Most automations are live within weeks, not quarters.

Practical use cases

Mortgage and claims document processing

Extraction pipelines that read, classify, and route document packages automatically, with reviewers handling only flagged exceptions.

Up to 90% less manual handlingAgentic Studio

Self-serve analytics for business teams

Automated the analytics request queue: executives ask questions in plain English and get verified, auditable answers instantly.

99.9% query accuracyLexicon

Back-office operations on autopilot

Financials, supply chain, HR, and CRM workflows unified and automated inside one AI-native platform.

50K+ active users servedSynergyOS

What is AI automation?

AI automation uses machine learning and large language models to handle work that rules-based tools like RPA never could: reading unstructured documents, understanding intent, making judgment calls with confidence scores, and answering questions in natural language. Where RPA breaks when a form changes, AI automation adapts — and escalates to a human when it is unsure.

AIONDATA builds AI automation on the same platform that powers our products: multi-model orchestration across OpenAI, Anthropic, and Google models, schema-driven document extraction, semantic data layers, and a governance framework with audit trails on every action. That means your automation inherits enterprise security on day one instead of bolting it on later.

Where to start

The best first automation is high-volume, document- or data-heavy, and painful: invoice intake, claims triage, KYC document review, report generation, data entry between systems. We help you pick the workflow where AI automation pays for itself fastest — typically within the first quarter of going live.

Why enterprises choose AIONDATA

Production automation running today across financial services, healthcare, and insurance

10x faster document processing than manual workflows, measured on real client volumes

Human-in-the-loop review built into every design — no black-box decisions

ISO 9001:2015 and CMMI Level 3 certified engineering processes

Works with your stack: 35+ enterprise connectors, REST/GraphQL APIs, MCP agent protocol

From first workshop to live automation in weeks with white-glove onboarding

Frequently asked questions

What is the difference between AI automation and RPA?

RPA follows fixed rules and breaks when inputs change; AI automation understands content. AI models read unstructured documents, interpret natural language, and make confidence-scored decisions, with human review for edge cases. Many clients use both — AI for understanding, lightweight rules for deterministic steps.

Which workflows should we automate first?

High-volume, repetitive, document- or data-centric workflows deliver the fastest ROI: document intake and extraction, claims and application triage, report generation, and cross-system data entry. Our discovery process scores your candidate workflows so you start where the payback is largest.

How long does it take to build AI automation?

A scoped automation is typically live within two to six weeks, depending on integrations and review requirements. We validate accuracy on your real documents and data before production rollout.

How do you keep automated decisions safe and auditable?

Every action is logged with inputs, model outputs, and confidence scores. Low-confidence items route to human review queues. Row-level security and tenant isolation are enforced throughout, and your data is never used to train AI models.

Do we need clean data before starting?

No — but you need honest visibility into what you have. Our readiness assessment identifies which workflows your current data supports and which need remediation first, so the automation you build performs at the accuracy the business expects.

Ready to automate the work nobody wants?

Bring one painful workflow to a 15-minute call. We will tell you honestly whether AI automation fits.

Please share the workflow and the systems involved—not credentials or customer records. We’ll agree the scope and next steps with you.

NVIDIA Inception

NVIDIA Inception member

Part of NVIDIA’s program for startups building with AI and accelerated computing.

About the program
Pravin BansalSravan Modugula

Bay Area roots. Enterprise experience.

Pravin’s experience includes Google and SmartBear. Sravan previously held leadership roles at JPMorgan Chase and First Republic Bank.

Meet the founders

San Francisco Bay Area, California

9110 Alcosta Blvd Ste H345, San Ramon, CA 94583

US-led delivery, with engineering in India. Supporting US and international organizations.
Prefer email? info@aiondata.io

Tell us where you want to start.

Just your name and email to get started. Your details are handled under our Privacy Policy.