AI Agents for Cross-System Automation
WorkAgentic builds AI agents for cross-system automation that move data and trigger actions between systems that don't natively talk to each other, so every system stays current without anyone re-entering the same information twice.
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Cross-System Automation
Six system sync tasks your team stops running manually
Each agent moves data between systems the moment it changes. No manual re-entry, no system quietly falling out of sync with the rest.
Bi-Directional Data Sync
- Changes in either system reflected automatically in the other
- No manual re-entry required to keep two systems saying the same thing
- Sync direction configured per field instead of applied uniformly
- New systems added to the sync without rebuilding existing connections
- Every connected system treated as current, not just the primary one
Trigger-Based Action Execution
- An action in one system fires an automatic response in another
- No manual step required to carry an update from one tool to the next
- Multiple downstream actions triggered from a single upstream event
- Trigger conditions configured without touching either connected system directly
- Actions logged so the chain of cause and effect stays traceable
Field Mapping and Transformation
- Fields matched correctly even when two systems name or format them differently
- Values transformed automatically to fit each system’s expected format
- Mapping rules configured once and reused across every sync going forward
- New fields added to the mapping without disrupting existing connections
- Mismatched data types handled automatically instead of causing a sync failure
Connection Health Monitoring
- Each connection checked continuously so an outage is caught immediately
- Data never falls silently out of sync without anyone noticing
- Queued changes synced automatically once a connection is restored
- Alerts sent the moment a connection degrades, not after data drifts
- Uptime history kept per connection for review
Conflict Resolution on Sync
- Source-of-truth rules defined per field so conflicts resolve consistently
- Conflicting updates flagged for a person when rules don't clearly apply
- Timestamp-based resolution available where recency should win
- No update silently overwritten without a defined reason
- Conflict rules refined as new edge cases are identified
Sync History and Audit Log
- Every sync event logged with what changed and in which direction
- Failed or partial syncs flagged instead of silently marked complete
- History available for audit without reconstructing it manually
- Conflict resolutions logged with the rule that was applied
- Records retained even after the source data has changed again
Built Around Your Workflow
Your existing systems are already the source of truth
WorkAgentic builds each workflow automation agent around the systems, rules, and approval logic your team already uses. Nothing about how your team works today needs to change. The agent runs in the background, and your team reviews exceptions and keeps final say.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
100+
systems we connect to
Any API
if it exports data, we connect
NetSuite
SAP
Salesforce
Xero
Oracle
Dynamics
Sage
100+
more systems
SAP, Oracle, Workday, Monday.com, Asana and any system with a structured API or data export
Case Studies
AI agents we have already built and deployed
Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.
Frozen Foods / CPGHow a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual Losses
A leading frozen foods distributor managed millions of dollars of temperature-sensitive inventory across its refrigerated fleet but had no visibility into trailer temperatures during overnight hours. This created a significant risk of product spoilage, inventory loss, and customer service disruptions.
Read case study
CPG / Consumer Packaged GoodsHow a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AI
A $50 million consumer packaged goods (CPG) brand was struggling with the growing complexity of trade promotion management. Despite investing heavily in a traditional TPM platform, many critical processes remained manual, including trade planning, accrual management, deduction reconciliation, customer profitability reporting, and trade spend analysis.
The company was spending approximately $180,000 annually on TPM software while dedicating significant internal resources to managing promotions, deductions, and reporting activities.
Read case study
Frozen Foods / CPGHow a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 Annually
A $250M+ frozen food manufacturer managed inventory across multiple third-party warehouses and cold storage facilities. Accurate inventory visibility was critical for supply planning, production scheduling, customer service, and inventory management.
However, the company relied on a highly manual inventory reporting process that required data from twelve separate sources, including warehouse portals and accounting system reports, to be downloaded, reconciled, and consolidated twice each day.
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CPG / Business Process OutsourcingHow a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI
A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms.
As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.
Read case study
Watch the Agent Work
See a cross-system automation agent running live
A 3-minute walkthrough showing how the agent syncs a change from one system to another, transforms the fields to match, resolves a conflict by rule, and logs the full sync history.
Change detected in one system and synced to the other automatically
Fields mapped and transformed to match each system's format
Conflicting update resolved automatically by your defined rule
Sync logged with what changed and in which direction
No commitment. We demo with a real workflow automation setup, not a sandbox.
Start with cross-system automation. Add more workflow automation agents as your team grows.
WorkAgentic deploys cross-system automation that moves data and triggers actions between disconnected systems, so every system stays current without manual re-entry.
WORKFLOW AUTOMATION
Approval Workflows
- WorkAgentic deploys approval workflow automation that routes every request to the right approver, tracks it through each sign-off step, and escalates automatically so nothing sits waiting on an inbox.
Data Entry Automation
- AI agents for data entry automation. Extract data from documents and forms and enter it into your systems automatically, with no manual keying.
Portal Data Extraction
- WorkAgentic builds AI agents for portal data extraction. Log into external portals and pull data automatically, no API required.
Workflow Exception Detection
- WorkAgentic builds AI agents for workflow exception detection. Catch bad data and rule violations the moment a workflow breaks.
Cross-System Automation
- WorkAgentic builds AI agents for cross-system automation. Move data between disconnected systems automatically.
Email Inbox Automation
- Triage incoming email, extract the request, and route or draft replies automatically.
Human-in-the-Loop Workflows
- WorkAgentic builds AI agents for human-in-the-loop workflows. Pause for review at defined checkpoints only.
Task Routing
- WorkAgentic deploys task routing that assigns every incoming task to the right person by skill and workload, no matter which channel it came from, so nothing sits waiting for a manual decision.
Workflow Monitoring
- Track uptime, SLA adherence, and throughput across every automated workflow in one place.
Workflow Orchestration
- Coordinate multiple systems and steps into one sequenced process, from trigger to completion.
FAQ
Questions about cross-system automation
Clear answers on how the agent syncs systems, handles conflicts, and what your team stays responsible for.
Cross-system automation agents are AI agents that move data or trigger an action between two or more systems that don't natively talk to each other, keeping every connected system updated without anyone manually re-entering the same information twice. WorkAgentic builds cross-system automation agents for teams whose CRM, ERP, and internal tools each hold a piece of the truth with no automatic way to keep them in sync.
Cross-system automation is the connective layer: it moves data or triggers an action between two disconnected systems. Workflow orchestration is the sequencing and logic layer above it, deciding what happens next, in what order, and under what conditions across an entire multi-step process. This page covers the system-to-system connection itself. A separate workflow orchestration agent covers the broader sequencing pattern, which often uses cross-system automation as a building block.
Any system with a structured way to read or write data, whether through an API, a file export, or a database connection, can be connected. This includes CRMs, ERPs, spreadsheets, internal tools, and industry-specific software that wasn't built to integrate with anything else.
Conflict rules are defined during setup, such as which system is treated as the source of truth for a given field, or which timestamp wins if both were updated. Conflicts that fall outside the defined rules are flagged for a person to resolve rather than overwritten silently.
Both are supported. Some connections sync in near real time as soon as a change happens in one system, while others run on a defined schedule that matches how often the data actually needs to be current.
The agent monitors connection health and flags an outage immediately rather than letting data silently fall out of sync. Once the connection is restored, queued changes are synced automatically so nothing is lost.
Yes. Every sync event is logged, including what changed, in which direction, and whether it completed successfully, so the history is available for review without reconstructing it manually.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
Get Started
Ready to stop keeping systems in sync by hand?
Book a free 30-minute system integration review. We map which systems need to stay current and show you where automation removes the most manual re-entry first.
Book a Free System Integration Review