ERP reinvented
for the AI era

An AI-native system lets not just ask questions and perform after-the-fact analysis, but build net new functionality. In Everest, business users can not only leverage pre-built agents provided by Everest, but also build custom agents leveraging any input available in the system, including data models and custom reports. This allows Everest to automate not only surface-level tasks but also deeply embedded financial processes like variance analysis, forecasting, and transaction categorization.

For finance leaders, the result is a faster, more agile close process, improved reporting accuracy, and stronger control over compliance and audit readiness. Instead of spending time reconciling data across systems or waiting for IT to implement changes, controllers and CFOs can focus on delivering strategic insights and driving operational improvements—confident that the underlying system will support that speed and precision.

The building, however, is not just limited to custom agent development. With AiSpecify, software developers can work alongside business users can use AI to drive the entire software development lifecycle. This means that all tasks associated with software development, from requirements gathering and analysis, data model development, UI generation and business logic implementation, can be driven by AI

Everest is designed to give finance and operations teams direct control over process automation, without requiring them to write code or rely on IT support. Through natural language interfaces, business users can create, customize, and deploy AI agents that execute specific tasks across the finance and operations lifecycle. These agents can then handle everything from categorizing journal entries based on historical patterns to explaining when variances exceed thresholds. 

For finance teams, this capability significantly accelerates routine processes like monthly close, budget tracking, and compliance checks. Instead of waiting on IT to build or adjust automation scripts, controllers can iterate on their own rules, simulate outcomes, and deploy improvements quickly. For operations teams, the same flexibility applies; AI agents can be used to route purchase requests, monitor usage metrics, or flag anomalies in vendor spend or contract performance.

This self-service model reduces the friction and delay that often come with traditional ERP change management. It also unlocks a more iterative, data-driven way of working. Teams can test new automation logic in Everest’s Live Sandbox,™ validate it safely, and push it live when ready without opening a single support ticket. Business users are empowered to drive their own improvements, helping their organizations move faster, reduce errors, and stay aligned as processes evolve.

Traditional ERP systems are notoriously rigid. Adapting them to new business requirements (adding new pricing models, onboarding an acquired entity, implementating a new purchasing process) often means expensive custom development, long implementation cycles, and ongoing IT support. Over time, these workarounds create technical debt and a tangled web of third-party tools, manual processes, and brittle integrations that drive up total cost of ownership.

Everest takes a fundamentally different approach. Its AI-first architecture is built for adaptability, with intelligent automation, open APIs, and flexible configuration tools that let business users define AI automations without dependence on IT, reducing the implementation timeframe of customizations to minutes from weeks before.

In addition, with AiSpecify, IT and business developers can work alongside their business counterparts to develop full enterprise-grade software specifications that can be used to generate production-ready applications on the Everest platform in weeks from months before.

AiSpecify replaces outdated, document-based requirements practices with a full-stack, interactive environment that treats specifications as live, generative systems. It moves the development lifecycle into a closed-loop cycle of:

• Business intent capture
• AI-driven requirement engineering
• Specification synthesis
• System feedback (via code, UI, and validation)
• Developer and domain expert approval/refinement
• Verified code delivery into enterprise platforms like Everest ERP

This is no longer "writing requirements" from scratch — this is specifying through simulation, feedback, and guided synthesis.

Unlike traditional ERP sandboxes that are limited to technical teams or require separate environments with outdated data, Everest’s Live Sandbox is fully integrated yet isolated as part of the production environment, and accessible to business users. It allows finance and operations teams to safely test workflows, automation logic, approval rules, and configuration changes without impacting live data or waiting on IT support.

What sets it apart is how seamlessly it fits into day-to-day operations. Users can simulate “what-if” scenarios, validate rule changes, and preview the impact of updates across financial and operational processes, all in an isolated space that reflects actual business conditions. This removes the risk typically associated with ERP modifications and accelerates innovation by making experimentation safe, fast, and repeatable.

For CFOs, controllers, and operations leaders, this means faster change cycles, fewer deployment surprises, and more confidence in every improvement. Everest’s Live Sandbox turns ERP change management from a roadblock into a competitive advantage.