How to Build AI Agents for Internal Applications with Redapt

In today's enterprise, true innovation often means moving beyond the boundaries of SaaS. While tools like Salesforce or ServiceNow serve core processes, much of a company's knowledge, workflows, and value live in internal systems—on-premises applications, custom tools, data lakes, and knowledge repositories. The rise of agentic AI challenges the traditional UI-driven paradigm, ushering in a future where intelligent agents interpret, reason across, and act upon data at unprecedented scale.

At Redapt, we help forward-thinking organizations embrace this shift, equipping them to unlock powerful new capabilities from their internal data and systems. Here's what sets our approach apart—and why the agentic layer is now central to enterprise transformation.

Why Agentic AI Is Transforming the Enterprise

Historically, business workflows have been bottlenecked by rigid UIs and siloed data. Users interact with applications through prescribed paths, and valuable unstructured data—emails, documents, call notes—often remains untapped.

Agentic AI changes this landscape. Agents bridge the gap between structured and unstructured information, orchestrate actions across systems, and automate knowledge work that once demanded manual effort. The result? Greater context, efficiency, and scalability—with humans able to focus where their judgment and creativity matter most.

This shift isn't just theoretical. Leading organizations are already seeing:

• Significant reductions in manual touchpoints  
• Richer, real-time context for decision-making  
• Automated compliance, risk, and operational workflows  
• A foundation for new, intelligent business models  

Where SaaS Leaves Off and Agentic AI Begins

Enterprise innovation often happens in the space between major SaaS platforms—places like:

• On-premises ERPs, PLMs, or file shares  
• Custom-built line-of-business applications  
• Data warehouses, lakes, and real-time streams  
• Internal knowledge bases: wikis, email archives, document repositories  

These systems hold the subtle nuances, tribal knowledge, and workflow complexity that set your business apart. Redapt specializes in bringing the power of agentic AI to this landscape, enabling agents to connect, comprehend, and create value—without forcing a migration to someone else's platform.

Demonstrating Agentic AI in Action

What does this look like in practice? Consider a few compelling use cases we've observed:

Operational Workflow Automation  

• AI agents triage and remediate IT incidents from logs or service records, drawing on historical runbooks and documentation.  
• Finance agents reconcile contracts and invoices from diverse data stores, flag anomalies, and prepare audit-ready records.  

Enhanced Decision Support

• Agents surface insights from R&D reports, CAD files, and compliance docs, accelerating product cycles and risk review.  
• Agents analyze proposals and customer interactions in commercial operations, recommending optimized pricing and language.  

Knowledge Unification  

• Search agents retrieve and contextualize answers from scattered repositories (PDFs, emails, transcripts), minimizing escalation and accelerating project delivery.  
• Contract agents standardize vendor data and maintain dynamic, compliance-ready dossiers.  

AI agents generate measurable value by turning raw, often-unstructured data into actionable insight.

How Redapt Makes Agentic AI Safe, Scalable, and Ready for Production

Transitioning to agentic AI demands more than technology alone—it requires deep expertise in data, infrastructure, governance, and change management. Redapt leads with a structured, end-to-end methodology:

1. Strategic Discovery  
   • Identify where agentic workflows can drive transformation within existing architectures.  
   • Clearly model success criteria and governance from the start  
2. Data Integration & Preparation  
   • Build robust connectors to internal applications, databases, and file systems (on-prem or in the cloud)  
   • Normalize and vectorize content for AI-ready retrieval and reasoning  
3. Agent & Orchestration Design  
   • Architect smart, reliable agents tailored to specific business contexts  
   • Use retrieval-augmented generation and tool orchestration for accurate, governed automation  
4. Deployment & Governance  
   • Deploy in environments that match your needs: on-premises, cloud providers, or hybrid.  
   • Deliver visibility, security, access controls, and human-in-the-loop where required.  

Architectures Tailored for the Enterprise—On-Premises and Cloud

Every organization's needs are unique. Redapt delivers agentic AI where your data and applications live—whether in your data centers or across public cloud platforms.

On-Premises Agentic AI

Our on-prem solutions provide complete control for highly-regulated industries, where latency and data residency are paramount. Agents can be deployed alongside local model serving and retrieval, integrating securely with legacy databases, operational systems, or closed networks.

• Key Benefits: 
  • Complete control over sensitive data  
  • Compliance with industry and regional regulations  
  • Predictable, low-latency interactions with heritage applications  

Agentic AI on Cloud

If your applications and data reside in cloud providers, we design architectures that maximize cloud-native scalability and access to advanced AI services. Think managed LLM endpoints, serverless agent orchestration, native connectors, and unified security monitoring—all within your preferred cloud.

• For AWS and Azure customers:  
  • Leverage cloud-native AI services for cost-effective experimentation and rapid scaling  
  • Easily integrate with your data lakes (S3, ADLS), databases, and existing application infrastructure  
  • Implement enterprise-class observability, governance, and policy enforcement across regions and accounts 
    
    Hybrid Patterns

Redapt can seamlessly blend both models, keeping sensitive data on-prem while leveraging cloud elasticity and advanced AI models for more complex reasoning.

Leading with Expertise—Real Outcomes at Scale

Redapt's guidance is informed by years of experience helping enterprises modernize data architectures and adopt AI responsibly. The agentic patterns we implement deliver:

• Up to 60% reduction in manual handling time for targeted workflows  
• 20–40% faster access to actionable insights  
• Enhanced compliance, traceability, and risk mitigation  
• A foundation for continuous, AI-driven process improvement  

Above all, our collaborative, structured approach ensures you gain lasting value—safely and at your own pace.

Explore What's Possible

Agentic AI is reshaping the enterprise software landscape. As trusted partners, we're ready to help you convert your internal applications and data into an enduring business advantage.

Explore our agentic offerings, see how leading organizations innovate beyond SaaS, and connect with Redapt's experts to plan your next step.

Ready to learn more? Discover Redapt's agentic solutions here.