Bot Velocity – Hybrid Automation Control Plane for AI Agents and RPA

About Bot Velocity

We build the control plane infrastructure that makes AI automation reliable, observable, and governable for enterprise teams.

Our Mission

Make AI automation reliable, observable, and governable for enterprise teams.

The Problem We're Solving

Enterprises are racing to deploy AI agents and RPA workflows, but lack the infrastructure to ensure reliability at scale.

What's broken today:

Traditional RPA tools force developers into drag-and-drop UIs
AI agent frameworks focus on observability, not orchestration
Distributed retries cause duplicate side effects and split-brain failures
Silent regressions erode production quality without detection
Weak governance makes cost and operational risk unpredictable

The result: Automation fails in production. Teams lose confidence. Projects stall.

Our Solution

Bot Velocity provides the control plane infrastructure that makes automation production-ready.

1. Code-First Development

Engineers should write automation in Python with version control and CI/CD, not wrestle with drag-and-drop UIs. The `bv` CLI brings software engineering discipline to automation.

2. Evaluation-as-Infrastructure

Every execution should be evaluated against quality standards. Regression detection, policy enforcement, and scoring should run before deployment—not after incidents. Quality gates are infrastructure, not afterthoughts.

3. Centralized Control

Lifecycle authority, retry logic, and policy enforcement belong in the control plane, not distributed across agents. Lease-based execution prevents duplicate work. Orchestrator-authoritative retry prevents cascading failures.

Technology Stack

Stack

Backend: Python, FastAPI, PostgreSQL, Redis
Frontend: React, TypeScript, Tailwind CSS
Runtime: Python SDK with async-safe tracing
CLI: Python-native developer tooling
Deployment: Azure-native, container-ready

Innovation

Core innovation: 6-dimensional evaluation framework

Output scoring, regression detection, flaky behavior identification, trace validation, policy enforcement, and agent coordination analysis.

Founding Story

Bot Velocity was founded in 2024 by an automation engineer who spent years deploying RPA and AI workflows at enterprise scale and saw the same failure patterns repeat across every organization.

After building and maintaining production automation systems, the fragility of distributed retries, silent regressions, and ungoverned agent behavior became impossible to ignore. Every platform offered either drag-and-drop simplicity or agent observability -- but none provided the orchestration and evaluation infrastructure needed to run automation reliably in production.

Traditional RPA platforms forced developers into drag-and-drop interfaces that became maintenance nightmares. AI agent frameworks gave us observability but not orchestration. We needed infrastructure that could handle both deterministic RPA and probabilistic AI agents under one control plane.

Bot Velocity was built to solve the problems that keep automation teams up at night: retries that cause double-charging, regressions that go undetected, and agents that drift from policies. The evaluation framework isn't a feature -- it's the foundation.

Why Now

1. AI agents are moving from demos to production

LLMs are capable enough for real work, but frameworks aren't production-ready. Organizations need orchestration infrastructure that can handle probabilistic agent behavior.

2. Traditional RPA vendors aren't adapting

UiPath and Automation Anywhere are built for drag-and-drop workflows and deterministic processes. They're not designed for LLM-powered agents with memory, tools, and dynamic behavior.

3. The MCP protocol is creating a new ecosystem

Model Context Protocol is becoming the standard for tool integration. This creates opportunities for orchestration layers that can compose tools across providers.

Bot Velocity is purpose-built for this moment—unifying RPA execution rigor with AI agent capabilities under a modern control plane.