// How AgentLayer Engages

One engagement. Three layers, in order.

AgentLayer engages through a single platform contract billed as recurring monthly fees. Context first, then the agent, then its powers, with a forward-deployed engineer inside your team for the whole arc. Pricing scales with scope, not with hours.

See the three layers

// How it runs

Each layer has a head start, a tuning pass, and an exit test.

The same three layers the product is made of, implemented in the same order. Nothing moves to the next layer until the exit test passes.

  1. 01Platform · Context

    Seed the brain.

    We start from your answers to eleven prompts and your real corpus: docs, tickets, decisions, and the operating manual for how you actually work. Capture sources get wired so the brain compounds from day one.

    Seeded
    The brain architecture, the capture and compile pipeline, a seed bundle from eleven prompts.
    Tuned
    Your corpus seeded in, your capture sources wired, your manual and rules written for how you actually work.
    Exit test
    The agent answers a question about your company from context, not from a bare repo.
  2. 02Agent · Harness

    Fork the agent.

    The open-source agent is forked onto your infrastructure under your keys, named, given a character and permission rails, and paired with your engineers on real tickets. Engineering is the first team, because the rails the brain runs on get built there.

    Seeded
    The open-source agent, host-neutral, running in production daily.
    Tuned
    Forked under your keys, named, given a character, permission rails set to your data classification, wired into your workflow.
    Exit test
    An engineer other than the champion has shipped with the agent.
  3. 03Modules · Powers

    Wire in the powers.

    Packs switch on against your systems: CI, logs, database, tracker. Your own skills and tools get written for the functions only your company has. Where one fits, an industry module comes in with its regulatory knowledge.

    Seeded
    35+ skills, 50+ tools, five packs, six industry modules.
    Tuned
    Your own skills and tools: the functions, data, and workflows only your company has.
    Exit test
    The team uses it daily, unprompted. Usage is visible, not claimed.

// What's Included

All three layers, tuned, in one engagement.

The brain, seeded and compounding

The knowledge tree, the capture and compile pipeline, briefings, and the dashboard, deployed on your infrastructure and seeded from your corpus.

The agent, forked and tuned

Your named agent under your keys, with permission rails, hooks, and an audit trail set to your data classification.

The full module library

Every capability pack and every industry module (agent-fintech, agent-gov, agent-edu, agent-health, agent-legal, agent-stay), tuned for your context.

Your own powers

Skills, tools, and data functions written for what only your company does. The configurations are yours; the underlying module IP stays with AgentLayer.

Forward-deployed AgentLayer engineering

Seeding, forking, wiring, and ongoing tuning done by AgentLayer engineers embedded with your team. No separate consulting contract, no hourly billing.

Every improvement, shipped to you

Model changes, new skills and tools, new modules, and harness upgrades flow into your deployment as they ship. Cancel and keep everything.

// Three Deployment Patterns

Every customer engagement deploys AgentLayer Platform across one or more of these patterns. One contract, deployed across as many surfaces as the AI-native transition needs.

Pattern 1

Internal-team agents

AgentLayer Platform deployed inside the customer organization, configured as agents that work alongside human teams. Scales output without scaling headcount.

▸ An `@agentlayer/agent-kevin` pattern deployed in the customer's ops team for knowledge management, task orchestration, daily briefings, and autonomous heartbeat tasks, configured for their company.

Pattern 2

Customer-facing operational agents

AgentLayer Platform deployed at the customer's customer-facing surfaces. Scales operations without sacrificing trust.

▸ Inbound support agent handling Tier 1 with full audit trail, multilingual surfaces (BM, EN, Tamil, Mandarin, Arabic), and human-in-the-loop on consequential decisions.

Pattern 3

Agent-as-customer interfaces

AgentLayer Platform deployed as the rails for autonomous agents transacting with the customer's business. Builds the agent economy on infrastructure they don't have to build.

▸ AgentPay's payments rail for autonomous agent transactions on the anchor partner's platform, including agent-friendly APIs and agent-driven account management.

// What This Isn't

We don't bill by the hour.

The platform engagement is the product. Every deployment, configuration, and optimization is delivered under it. We refuse work structured otherwise.

×Hourly billing
×"Implementation hours" line items
×Separate consulting contracts
×Bespoke one-off deliverables that don't compound

// Pricing Approach

Custom pricing per scope.

Pricing scales with deployment complexity, agent volume, and the number of modules and patterns active. We size the engagement to your scope, then bill as recurring monthly platform fees.

Annual contracts. Multi-year terms available with planning incentives. Design partnerships available in select industries with reduced commercial terms in exchange for reference rights.

For a quote and a 30-minute discovery conversation, talk to us.