Generic AI does not understand fulfillment. We do.

The fulfillment playbook your AI agents are missing

We turn how your supply planners actually think into a playbook every AI agent can read, run, and get smarter from.

Try it now → Talk to founders Pre-revenue MCP-native. No platform replacement. Customer-owned IP.
Featured in MIT Press · Harvard Data Science Review
Works with Microsoft Copilot. Anthropic Claude. Google Gemini. your internal LLM.

From today's reality to agent-driven fulfillment

Toggle between what fulfillment looks like today and what changes once CrossLayer is in place.

Manual triage in spreadsheets and Slack

Your senior planner triages every exception by hand. Excel rows, Slack threads, midnight email. Nothing scales.

30 min/day Per planner · From design partner interviews
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AI agents with no fulfillment context

Copilot, Claude, Gemini still hallucinate. And even when they don't, they don't know which supplier accepts what or which rule applies. The model is rarely the issue — it's missing your context.

~40% Agent hallucination rate without context · Stanford HAI 2025

Knowledge lives in one person's head

Eight years of exception playbook stored in your senior planner's memory. When she leaves, productivity drops for six months.

2.4 yrs Avg senior planner tenure · BLS

AI pilots stall before production

Eighteen months in, your CIO still cannot point to one production fulfillment agent. The blocker is operational context, not the model.

95% Of enterprise AI pilots fail to ship · MIT NANDA 2025

Throughput unlocked, headcount flat

The same five-person team handles five times the exception volume. Triage time collapses. Exceptions resolved before your planner returns from PTO.

30 → 2 min Daily triage per planner · Pilot target

Every AI agent operates with full context

Copilot, Claude, Gemini, your internal LLM. Every agent loads the playbook at session start and decides like your most experienced SME.

~10% Hallucination with grounded context · ~75% drop · Atlan 2025

Knowledge compounds, every cycle

Every correction your team makes flows back into the playbook. Senior expertise becomes versioned, exportable IP that stays when people leave.

100% Skill files you own · Portable across any LLM

Your playbook, captured as skill files

Plain-language skill files for every exception type: supplier rules, escalation triggers, decision logic. Your team's brain, versioned and exportable.

4 weeks First playbook live in production · Pilot target

How CrossLayer captures, ships, and learns from your playbook

From the sources your team already uses to the AI agents you already deployed — every execution sharpens the playbook.

01 · DATA SOURCES 02 · CROSSLAYER ENGINE 03 · SKILL FILES 04 · AI AGENTS Spreadsheets Exception logs Slack threads #fulfillment-ops Email threads Supplier escalations ERP & systems SAP · Oracle SOPs & docs Runbooks · wikis 01 · EXTRACT Tribal knowledge, spreadsheets, threads 02 · STRUCTURE Typed skill files. SMEs validate. 03 · VERSION + AUDIT Customer-owned. Source-traceable. SCHEDULED_SHIPMENT _DELAY.YAML v3.2.1 Microsoft Copilot PLAYBOOK · LOADED Anthropic Claude PLAYBOOK · LOADED Google Gemini PLAYBOOK · LOADED Your internal LLM PLAYBOOK · LOADED ◀ LEARNING LOOP · EVERY EXECUTION REFINES THE PLAYBOOK CORRECTIONS · NEW EDGE CASES · PROCESS CHANGES · STALE RULES · OUTCOME DATA

Wait, is this just another [insert vendor] ?

Probably the four questions you are already asking.

Control Towers

Manhattan / Project44 / FourKites

The $7B+ category your CIO already bought into. Dashboards, visibility, carrier orchestration.

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vs. Control Towers

Control towers execute on rules someone already wrote down. We capture the rules. Two layers in your stack, not two competing vendors.

Works with your existing Manhattan or Project44 deployment.
Customer-owned skill files. Portable if you switch platforms.
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Vertical Copilots

Microsoft Copilot / SAP Joule

The chat layers your CIO licensed and your team stopped trusting. They summarize. They cannot decide.

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vs. Vertical Copilots

Copilot is a chat layer over your data. It hallucinates on fulfillment because it has no playbook. We give it the playbook.

Stops Copilot, Claude, and Gemini hallucinations on real fulfillment work.
Pilot to production in 4 weeks, not 18 months.
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AI Worker Platforms

Mandel / BackOps / HappyRobot

The AI workers who promise to replace your team. Their agents. Their black box. Their IP.

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vs. AI Worker Platforms

AI worker vendors run YOUR operations behind THEIR black box. We capture your playbook so your agents own the work.

Your fulfillment IP stays yours, in your environment, exportable.
Vendor-neutral: use any agent runtime, including theirs.
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Build It Yourself

Your in-house AI team

The "we'll figure it out" approach your CTO keeps pushing. Custom GPTs, internal LLM tooling, 18 month roadmaps.

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vs. Build It Yourself

Your DS team needs 18 months to parse Slack threads, structure rules, and version skills. We ship your first playbook in 4 weeks.

18 months of build time and $1M+ of engineering cost avoided.
Your DS team focuses on differentiating logic, not data plumbing.
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Built by a supply planner with 8+ years of experience from one of the world's largest fulfillment operations.

Stop watching your AI investments die in pilot

30-min call. No deck. Just your last 6 months of fulfillment exceptions.

Talk to founders