Dataworkz

Dataworkz

Dataworkz is an enterprise platform that ships governed, production AI agents connected to enterprise data and systems, enabling organizations to convert workflows into auditable AI agents with built-in connectors, observability, and compliance controls.

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#446 in AI Agents (446 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

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Dataworkz

Dataworkz is an enterprise platform that converts business workflows into governed AI agents connected to enterprise systems and data. It provides an integrated four-layer stack (connectors, an information layer, an agent framework, and an operating layer) so teams can configure and ship production agents with managed authentication, audit trails, RBAC, and ROI tracking. The platform is positioned for regulated and system-heavy industries (financial services, life sciences, manufacturing) and emphasizes fast time-to-production, observability, and continuous compliance (SOC 2 Type II, deploy in-VPC or managed SaaS).

Dataworkz is an enterprise platform that ships governed, production AI agents connected to enterprise data and systems, enabling organizations to convert workflows into auditable AI agents with built-in connectors, observability, and compliance controls.

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Key Features

Four-layer integrated stack

Connectors, an information layer (RAG, knowledge graphs, chunk-level RBAC), an agent framework (plain-English or code workflows, deterministic or reasoning execution), and an operating layer (audit trail, auth, ROI tracking).

100+ pre-built connectors

Connectors for cloud data, databases, SaaS, vector stores, and graphs so 'your data stays where it lives'.

Agent Builder (Plain English or code)

Builder that scaffolds personas, scenarios, tools, and execution plans; supports creating agents in natural language or code and configuring deterministic or reasoning-based execution.

Governance, security & compliance

SOC 2 Type II, RBAC, managed auth, audit trails, VPC deployment options, and continuous compliance are built into the platform.

Pre-built production agents & templates

A library of live production agents and templates across industries (e.g., invoice validation, regulatory lineage, call deflection, customs classification).

Observability & ROI tracking

Per-agent observability, analytics, and ROI dashboards that measure costs, savings, NPV, payback period and per-run behavior.

Audit-ready lineage and traceability

Lineage tracing across pipelines (Pentaho, SQL, COBOL) with Collibra-compatible outputs and end-to-end traceability for regulatory readiness.

Flexible deployments

Managed SaaS, dedicated cloud, or in-customer VPC deployment models.

Pricing

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Use Cases

Invoice validation and reconciliation

Agents extract invoice fields from various document formats, match against contract data (e.g., ClarityServer), validate rates/hours, and route exceptions or approvals, delivering audit trails for AP.

Regulatory data lineage

Trace lineage of regulatory submissions and pipelines (Pentaho, SQL, COBOL) and produce Collibra-compatible outputs and audit-ready lineage reports.

Call deflection and client support

Build agents to deflect high-volume client calls by creating Spark jobs from CDC data and integrating with client portals to handle routine customer interactions.

Knowledge retrieval and permission-aware answers

RAG and knowledge graph capabilities provide permission-aware answers with cited context for advisors, reviewers, and regulated workflows.

Spark job generation from plain English

Convert plain-English data requests into PySpark jobs that run on Databricks and return execution outputs.

ERP and supply chain exception handling

Agents to catch and triage ERP processing exceptions, reconcile supplier invoices and POs, and classify customs HTS codes.

Integrations

Databricks

Execute generated PySpark jobs on Databricks (example: Spark Generation Job Builder).

Workday API / ERP

Post validated results to ERP systems via APIs (example shows posting to ERP via Workday API tool).

Collibra

Publish column-level lineage outputs compatible with Collibra for regulatory lineage workflows.

Common enterprise data platforms (connectors)

Connectors to cloud data, databases, SaaS, vector stores, and graph systems; customers and logos referenced include Snowflake, MongoDB, CockroachDB, Couchbase, and others.

Benefits

Faster time-to-production: claims of shipping a first agent in a day and turning stalled internal builds into live agents quickly.
Enterprise-grade governance: built-in SOC 2 Type II compliance, RBAC, managed auth, and full audit trails.
Operational ROI and observability: per-agent ROI dashboards, measurable cost savings and payback metrics.
Reduced operational load: examples include call-center deflection and automated invoice reconciliation that reduce manual work.
Developer ownership with lower ramp: teams build agents in plain English or code without specialized AI hires.

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Book a demo (30 minutes) to ground the demo in your systems, data, and security model.
  2. 2 Step 2: Pick a workflow or agent template that maps to your department and configure connectors and permissions.
  3. 3 Step 3: Configure the agent with the Agent Builder (plain English or code), enable managed auth and audit, then publish to production.

Support

Book a demo

Request a 30-minute, workflow-grounded demo via the site (calls to 'Book a Demo' and 'Talk to us').

Blog / Resources

Product and field notes available via the site's Blog and Resources sections.

Partners / Implementation

Implementation and technology partners are listed for deployment and integration support.

API

Available: No

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