Investor questions

AI agents already know how to:

• analyser
• raisonner
• prepare complex actions

But they fail as soon as a decision requires:

• legal accountability
• professional authority
• regulatory enforceability

👉 AI lacks authority, not intelligence.

HumanLayer solves the last lock of autonomy: getting qualified, traceable, enforceable human decisions in real time, directly from AI agents.

Every regulated organization faces:

• an explosion in the number of sensitive decisions
• increasing upstream AI automation
• a structural shortage of expert time
• increasing regulatory pressure

As AI advances, the human bottleneck becomes the limiting factor.

HumanLayer sits at the intersection of:

• autonomous AI
• compliance & risk
• professional services

This is not a gig market.
It's a critical infrastructure market.

The organizations deploying AI agents:

• banks
• insurance
• healthcare
• industry
• large enterprises

Typical buyers:

• General Counsel (GC)
• Head of Risk
• Compliance lead
• CFO (parfois CISO)

👉 AI agents use the API.
👉 Organizations pay for accountability.

Companies already have experts. They don't have:

• on-demand availability
• decision SLAs
• standardized decision artifacts
• audit-grade traceability
• native integration with AI agents

HumanLayer turns scarce human authority into a callable system primitive.

Building this in-house requires:

• heavy governance
• dedicated teams
• constant regulatory maintenance

👉 Outsourcing is faster, less risky, and more economical.

No.

A marketplace optimizes the supply and demand of work.
HumanLayer orchestrates authority and accountability.

We do not sell human time.
We sell decisions with attached accountability.

This distinction is essential for:

• enterprise credibility
• legal defense
• long-term moat creation

Decision-based billing, not hourly.

Order of magnitude:

• Compliance validation: ~$15
• Expert judgment: ~$80
• Authorized authority / signature: $200+

Pricing correlates to:

• risk covered
• authority level
• SLA

👉 The value is immediately clear.

HumanLayer builds non-technical moats:

• Verified authority network
  Slow to build, hard to replicate.
• Regulatory and trust moat
  Once embedded in audits, switching costs are high.
• Decision history
  Decision traces become a defensible asset.
• Workflow lock-in
  Organizations adapt their processes around HumanLayer.

HumanLayer is never the Sentinel.

The decision is always made by an identified, authorized human.

HumanLayer orchestrates, logs, and proves.

👉 This greatly limits platform liability while maximizing customer value.

No. It amplifies their impact.

AI does 90% of the work. Humans intervene only where:

• judgment is indispensable
• accountability is required

👉 Result: increased expert productivity.

Three dynamics are converging:

• AI agents are becoming truly autonomous.
• Enterprises are blocked by risk and compliance.
• Regulators demand more traceability, not less.

👉 AI autonomy is progressing faster than governance infrastructure.

HumanLayer closes this gap.

HumanLayer becomes:

• the standard layer of human decisioning for AI
• an implicit building block of enterprise AI stacks
• a recognized anchor point for regulators

Over time, every serious AI agent will know:

"This decision requires HumanLayer."

Adoption speed.

It's a new category:

• enterprise cycles
• need for market education

But once integrated:

👉 retention is structurally high.