The Problem: AI Agent Sprawl

Most companies have no idea how many AI agents are operating inside their organization. Engineering teams are using Claude Code, Cursor, and Devin. Sales teams have AI SDRs from 11x and Artisan booking meetings autonomously. Marketing is running AI content agents. Finance has AI analysts generating reports. Each of these agents costs money, accesses data, and operates with varying levels of oversight.

This is AI tool sprawl. It is the shadow IT problem of the 2020s, but with autonomous agents that access customer data, write production code, and send emails on behalf of your company. Without visibility, you cannot manage costs, enforce security policies, or plan your workforce.

Shadow AI: The Risk Nobody Is Tracking

Shadow AI is when employees provision AI agents without IT or security approval. An engineer signs up for Claude Code with their company email. A sales rep connects an AI SDR to the company CRM. A PM spins up a data analysis agent with access to production databases. None of this goes through procurement. None of it shows up in your security audit.

For companies preparing for SOC 2 certification or ISO 27001 audits, shadow AI is a compliance gap. Auditors will ask what AI agents operate in your environment, what data they access, and who authorized them. Without a system to track this, the answer is "we don't know."

AI Agent Costs Are Growing Faster Than You Think

The average cost of AI coding agents like Claude Code, Cursor, and GitHub Copilot ranges from $20 to $500 per developer per month depending on usage. AI SDR platforms like 11x cost $300 to $1,000 per agent per month. Custom agents running on Anthropic or OpenAI APIs can cost anywhere from $50 to $2,000 per month based on token consumption.

Across a 200-person company, monthly AI agent spend can reach $20,000 to $50,000 without anyone tracking it at the company level. Finance teams see the line items in individual credit card statements but have no aggregate view, no cost-per-team breakdown, and no way to identify idle agents wasting budget.

How Murph Works

Murph connects to your identity provider (Okta, Azure AD, Google Workspace) to pull your human org chart. Then it integrates with AI platforms and SaaS agent tools to discover every AI agent in your company. Within 10 minutes, you see your real workforce: humans and AI agents together in one living org chart.

Each agent gets an identity in the chart. You see who provisioned it, what it costs per month, what data it accesses, when it was last active, and whether it was approved by management. Click on any person to see their full AI workforce. Click on any team to see aggregate spend and agent counts.

AI Spend Tracking and Cost Intelligence

Murph provides per-agent, per-team, and per-department AI spend dashboards. See which teams spend the most on AI agents, which agents are idle (costing money with no activity), and what the cost per task is for each agent. Finance teams get the visibility they need to include AI agent costs in budget planning and board reporting.

ROI calculations compare AI agent output to equivalent human cost. For example, an AI SDR booking meetings at $7 per meeting versus a human SDR at $180 per meeting. These numbers show up automatically in Murph dashboards.

AI Governance and Compliance

Set governance policies that enforce automatically. Require VP approval for any agent accessing customer data. Auto-decommission agents inactive for 30 days. Alert when team AI spend exceeds a threshold. Generate audit-ready reports showing every agent, its permissions, and its authorization chain.

Murph is built for enterprise security requirements: encryption in transit and at rest, SSO support, role-based access control, and comprehensive audit logging.

AI Adoption Benchmarks: The AI Workforce Index

How does your company compare to the market? The Murph AI Workforce Index tracks anonymized benchmarks across our customer base. Average agents per employee. Average AI spend per head. Agent utilization rates. Adoption trends by industry and company size. The data CTOs and CFOs need for board decks and planning.

Supported AI Platforms and Integrations

Identity providers: Okta, Azure Active Directory, Google Workspace. AI platforms: Anthropic API (Claude, Claude Code), OpenAI (GPT-4, ChatGPT Enterprise), Azure OpenAI, AWS Bedrock, Google Vertex AI. Agent platforms: 11x, Artisan, Devin, Cursor Teams, Jasper, Copy.ai. Custom agents via lightweight SDK or API proxy. Billing integrations for real-time cost data.

Pricing

Murph pricing is per node. A node is any human or AI agent in your org chart. Starter tier is free for up to 25 total nodes with basic org chart and cost tracking. Growth tier is $8 per node per month for up to 500 nodes including full cost analytics, governance policies, and alerts. Enterprise tier is custom pricing for unlimited nodes with advanced compliance, SSO, SLA, and dedicated support.

Who Uses Murph

CTOs and VPs of Engineering use Murph to see which AI agents their teams are using and what they cost. CFOs use it to track and forecast AI spend. CISOs use it for shadow AI detection and compliance reporting. Heads of AI use it for workforce planning and agent lifecycle management. The common thread: they all need visibility into the AI workforce that their existing tools do not provide.