For any business looking to adopt artificial intelligence, the goal is straightforward: to improve existing operations. True Enterprise AI shouldn't be a separate, complicated tool that disrupts your current IT setup. Instead, it should blend into your existing systems, offering powerful capabilities while giving you complete control and a clear view of its operations. This is the core principle behind our enterprise-ready AI platform, SyncIQ, which provides a deeply integrated and traceable AI workforce.
Enterprise App Fusion: Unifying Your Technology
Introducing new technology can create friction. It often fails to connect with existing enterprise systems, leading to isolated data and broken workflows. In fact, a recent study found that over 90% of organizations report difficulties integrating AI with their existing systems.[1]
That is why SyncIQ's Enterprise Knowledge Base is here to simplify integration with essential business platforms through pre-built connectors that allow our AI agents to pull data and push updates in real time. It goes beyond surface-level links to create deep, functional integrations with the systems you use every day.
This includes:
- Core Systems: Direct integration with your CRM, ERP, and HRIS platforms.
- Data Hubs: Connection to document libraries like Microsoft 365, GDrive, SharePoint, etc.
- Structured and Unstructured Data: The ability for AI agents to access and use information from both databases/spreadsheets and documents/E-mails/PDFs.
- Web Crawlers/Scrappers: Deployment of crawlers and website scrapers to extract relevant data from external websites and online sources.
This approach creates a unified execution layer. Our AI agents can see and interact with all relevant information, no matter where it lives. Instead of replacing your systems, SyncIQ enhances them, breaking down silos and allowing AI to work across your entire tech stack.
A Closer Look: How AI Agents Drive the Claims Workflow
Continuing our claims processing example, let's see how specific SyncIQ agents work together to provide the seamless integration and control we've just discussed. After a claim arrives via email or a portal, a Planner Agent breaks down the initial intake and validation process. It then assigns tasks to specialized agents.
- Agents for Seamless Integration: A key first step is validating the claim against the customer's policy. SyncIQ’s Tool-Calling Agent uses a pre-built connector to communicate directly with your core PAS. And another agent retrieves the relevant policy details and coverage limits to then push the initial claim information into the system, creating a structured record without any manual data entry.
- This two-way communication between the AI agent and your core enterprise software eliminates data silos from the very start.
- Structured Data Agents for Deeper Insights: Once policy details are fetched, a Structured Data Agent can query internal databases to reconcile the claim information. For instance, it can check a coverage database to ensure the specific loss event is covered or scan a fraud detection database for suspicious patterns related to the claim. This agent works with your existing, organized data, enhancing the validation process and integrating another layer of your IT stack into the automated workflow.
- A2H Agents for Total Control: What if a claim is complex or gets flagged for a potential issue? This is where SyncIQ’s proprietary A2H (Agent-2-Human) Agent provides full control by seamlessly handing the task to a human claims adjuster. The A2H agent generates a user-friendly screen that presents the claim details, the information gathered by the other agents, and a clear summary of the issue needing review. The adjuster can then make an informed decision: approve, deny, or request more information, with all actions being logged for a complete audit trail.
SyncIQ’s ecosystem makes sure that while intelligent automation handles the routine work, your expert team maintains full control over critical decisions. And, with all the data housed within your enterprise, SyncIQ makes sure that data never leaves your control.
Measuring What Matters: The New Standard for Enterprise AI
To justify any technology investment, you need to be able to measure its success. A staggering 74% of companies report that they struggle to achieve and scale value from their AI initiatives, often because the returns are difficult to see. [2] SyncIQ's platform offers built-in dashboards that let you track performance, evaluate results, and ensure security. This focus on transparency allows you to see exactly how the AI is performing and identify areas for improvement.
True enterprise AI should not force you to start from scratch. It should connect to your existing systems, empower your people with greater control, and provide the transparency needed to build trust. SyncIQ allows you to manage the technology with confidence. You can see what works, what doesn't, and prove the value it delivers to your organization.
With deep integration and clear control established, one final question remains. How do you build all of this on a foundation of enterprise-grade security? We will explore that in the final part of this series.
References
[1] 90% of IT leaders say it's tough to integrate AI with other systems | ZDNET
