Xait Blog

Inside Xait: How We Use Agentic AI to Build Secure Proposal Software

Written by John Ingve Eielsen | Jun 29, 2026 7:03:42 AM

Summary

  • Pioneering AI: Xait has leveraged AI for over six years, long before the ChatGPT boom, to optimize text analysis and streamline complex document workflows.
  • Agentic AI Integration: We use autonomous "digital coworkers" (Agentic AI) internally to run automated testing, enforce strict security compliance, and accelerate software development.
  • Privacy-First Architecture: Customer data is never used to train public models. We deploy isolated, private LLM instances to guarantee 100% data sovereignty.

How is Xait leveraging AI in software development?

Xait leverages Agentic AI directly within our internal software development lifecycle to accelerate product innovation and ensure enterprise-grade reliability. By acting as autonomous digital coworkers, these AI systems streamline code reviews, run continuous automated testing, and optimize our proposal management platform.

Artificial Intelligence is fundamentally reshaping how we work and deliver products at Xait. While AI is a massive force multiplier that we put in our customers' hands, we also integrate it deeply into our own engineering workflows to deliver innovation faster and with higher efficiency.

Six years ago, we set out to solve the time crunch associated with understanding large amounts of text and distilling that information for our customers. We created the Xait Analyzer and Xait Suggestion Engine, leveraging AI long before Generative AI dramatically changed the landscape.

From doomsayers to utopians, approaches to AI vary. But it is clear we are looking at a technology that fundamentally changes how work is done, demanding that organizations do more with less. As a solution provider, we sell tools that make our customers more efficient. But to deliver our world-class proposal management solution to the market at speed, we actively use AI to accelerate our own development. We don't just sell it; we walk the walk.

What is Agentic AI and how does it differ from a chatbot?

Agentic AI represents a fundamental shift from traditional chatbots by executing multi-step workflows autonomously rather than just answering text prompts. While chatbots rely on basic conversation, Agentic AI acts as a digital coworker that senses environments, plans goals, executes tasks, and self-corrects.

The key distinctions between the two technologies include:

  • Execution vs. Conversation: A chatbot tells you what to do, but an agent actively takes action to complete the mission.
  • Autonomy and Reasoning: AI agents use a "SPAR" framework - Sensing the environment, Planning and reasoning through goals, Acting by executing tasks (like updating records or triggering workflows), and Reflecting on outcomes to adjust their approach.
  • Complex Orchestration: Instead of a simple input-output transaction, agents handle complex workflows, automatically self-correcting when steps fail, and iterating across deep technical domains to deliver concrete results.

How does Agentic AI impact code review and orchestration?

Agentic AI shifts the software engineering bottleneck from writing raw code to reviewing and orchestrating it. This transformation requires developers to transition into system architects who govern AI-generated modules, filter out code noise, and enforce strict enterprise compliance protocols.

As AI agents dramatically increase code production velocity, developers are transitioning from "code writers" into "system architects" who govern AI-generated modules. This evolution brings two specific challenges that Xait actively manages:

  • The Noise Factor: The accessibility of AI allows non-technical staff to generate software artifacts. While this boosts initial speed, it frequently results in "code noise"—unusable or insecure outputs that bypass standard enterprise protocols if left unchecked.
  • From Writer to Architect: The true value of a modern developer no longer lies in the raw volume of lines written, but in the expertise required to orchestrate AI-generated modules, ensure rigorous security compliance, and maintain overall system architecture.

In this era, raw code is just the raw material; the true expertise lies in disciplined review and integrating these components into a robust, enterprise-grade solution.

How does Xait’s use of Agentic AI benefit our customers?

Xait’s internal use of Agentic AI directly benefits customers by catching software vulnerabilities earlier, reducing human error, and accelerating feature deployment. By continuously analyzing code in real-time, our AI agents ensure our software updates always meet the highest standards of security and performance.

Agentic AI enhances Xait's software development by autonomously running automated testing, performing continuous static code analysis, and enforcing security compliance policies in real-time. This proactive approach significantly reduces human error and identifies bugs long before any code reaches the production environment. For our customers, this means a faster rollout of new features, absolute system stability, and a more secure environment for their mission-critical data.

How does Xait ensure data security with Generative AI?

Xait maintains a strict privacy-first approach to Generative AI by utilizing isolated, private LLM instances for all sensitive workloads. We contractually guarantee that no customer data, proprietary prompts, or document inputs are ever shared or used to train public AI models.

We enforce rigid internal security policies to ensure that all customer data, prompts, and generated outputs remain within a secure, controlled environment. By leveraging dedicated, private infrastructure models running only on protected operational environments, we ensure that mission-critical data is never exposed to public or multi-tenant environments. This guarantees absolute data sovereignty and completely protects your intellectual property rights and corporate liability.

Conclusion: Walking the Walk

At Xait, we are producers of tools that leverage the power of AI to drive efficiency for our customers, but we don't stop there. We actively integrate these same advanced AI technologies into our own development workflows, ensuring we deliver innovation at speed. By building with AI ourselves, we gain the hands-on expertise needed to provide the most robust, secure, and advanced AI-powered solutions to the global enterprise market.