Platform Architecture Overview

Fast Forward is built from the ground up to give IT teams full control over intelligent automation — combining the flexibility of large language models (LLMs) with a governed execution layer that’s safe, adaptable, and fully extensible.

At the Core: LLM-Powered Intelligence

Each agent runs on a private, GDPR-compliant LLM for reasoning, language understanding, and conversation — fully isolated from public models to protect your data.

The Agentic Shell (Configurable Execution Layer)

Our configurable layer controls agent behavior — from tool use and memory to safety rules and decision logging — so IT stays in control.

Supports custom workflows and skill chaining

Integrates with the MCP (Model Context Protocol)

Fully controllable through configuration files or admin console

Agent Toolkit: Python-Based Action Layer

A library of Python tools for apps, APIs, and file systems — like modern RPA for AI-driven tasks.

  • Generic or custom-built tools

  • All actions logged for compliance and debugging

  • Built in-house, by partners, or with our toolkit

Embedded Python Interpreter

Each agent runs an isolated Python environment for logic-heavy tasks, data processing, or scripting — from user prompts or task plans.

  • Real-time analysis, transformations, conditional flows

  • Supports pre-approved or dynamic code

Skill Evolution and Memory

Agents learn from feedback, refine tool use, and adapt to task patterns — becoming more effective over time.

Short-term memory helps manage conversations and sessions.

Using RAG, agents recall past work, documents, and user preferences.

Skills are versioned, tested, and subject to IT governance

Full On-Premise Deployment Option

Run the entire platform — LLM, shell, memory, tools, and interface — fully on-site for complete control and compliance.

ROI and Usage Monitoring

A central dashboard tracks agent activity, highlights valuable automations, and shows ROI with full transparency on performance and adoption.