Enterprise Supply Chain Intelligence

The AI platform your
ERP was waiting for.

Live ERP data. Autonomous agents. Full governance.
Built on MCP — the open standard behind Apple Xcode and Anthropic Claude.

Oracle Fusion 26A Blue Yonder SCPO SAP S/4HANA Epicor Eclipse

hello@saasquach.ai · saasquach.ai

The Market Moment

Enterprise AI is polarizing.
Fast.

82%

of GenAI enterprise tools classified as high-risk

Cyberhaven 2026

45%

of AI tool usage invisible to IT — shadow AI

Larridin 2026

16.8%

of enterprises actually track AI ROI despite 81% claiming visibility

Larridin 2026

33%

of enterprise apps will be agentic by 2028. Today: <1%.

Gartner 2026

The second wave is here. Coding assistants (90% adoption at leading orgs) were the first. Agentic AI — systems that act, decide, and execute — is the second. The organizations that govern it win. The ones that don't are building a liability.

The Problem

Two failure modes.
Both are costing you.

❌ No AI

Manual reporting — hours per week per team member

8+ hours per week per ops team member on manual data pulls

Exception management by email chain

$2.3M average cost of a SOX control failure

Excess inventory averaging 7–10% of total stock value — undetected until quarter-end

Competitors moving faster while you wait

❌ Ungoverned AI

32% of ChatGPT use via personal accounts — invisible to IT

39% of prompts contain sensitive data

No audit trail — auditors flag it immediately

Shadow AI = SOX exposure, not savings

ROI unmeasurable — budget gets cut next cycle

Legal shuts it down mid-project

SaaSquach is neither. Governed agentic AI, purpose-built for ERP environments.

The Solution

Live ERP data + autonomous agents
+ full governance.

⚡

MCP — Live ERP Connectivity

Direct queries to Oracle, Blue Yonder, SAP, and Epicor via the Model Context Protocol — the open standard behind Apple Xcode and Anthropic Claude. No ETL. No data warehouse. Always current.

🧠

RAG — Business Context Layer

Supplier contracts, approval history, inventory policies, institutional memory — indexed and queryable. Every exception resolved feeds back in. The system gets smarter every week.

🤖

Agents — Work While You Sleep

Inventory monitor. Exception handler. Executive briefing agent. Procurement analyst. Pre-built, deploy-ready, running on schedule — while your team focuses on decisions, not data pulls.

📊

Operator-Designed Dashboards

Built by supply chain operators who've lived inside Fortune 200 inventory ops. Every KPI, every aging bucket, every exception flag designed for the way you actually work.

🔒

Governance Baked In

Read-only by default. No writes without human-in-the-loop approval. Full audit trail on every agent action. Data stays in your ERP environment. SOC 2 aligned. Auditors can read it.

📏

ROI From Day One

Every agent run logged. Every exception flagged and resolved. Every hour saved measurable. You're not the 81% who claims AI visibility — you're the 16.8% who can prove it.

The Intelligence Stack

MCP gets the data.
RAG makes it intelligent.

⚡

Model Context Protocol (MCP)

Open standard · Apple Xcode · Anthropic Claude

Live queries direct to your ERP — no copies made

14+ Oracle endpoints, 9 Blue Yonder, 12 SAP, 8 Epicor

OAuth 2.0, TLS 1.3, zero credential storage

ERP-version agnostic — survives every update

🧠

Retrieval-Augmented Generation (RAG)

Per-tenant · Fully isolated · Self-improving

Supplier contracts, approval history, SOPs indexed

Exception resolutions feed back — gets smarter weekly

Competitors can't replicate your operational history

Your knowledge stays yours. Always.

Same question. Different answer.

❌ Without RAG

"Why is this SKU flagged as excess?"

"Inventory value is $2.1M with 180+ day aging."

✅ With RAG

"Why is this SKU flagged as excess?"

"Ordered Q3 2024 for Southeast construction project. Project cancelled October per LOA archive. Current stock is 8 months vs. 30-day policy. Recommend inter-branch transfer or supplier return under contract clause 4.2."

Sources: LOA archive · cancellation record · supplier contract · inventory policy

RAG is the moat. Competitors can't replicate a year of your operational history.

The Product

Your Monday morning.
Automated.

app.saasquach.ai/dashboard

SaaSquach AI

NA — All BUs

📊 Dashboard

📦 Inventory

📋 PO Pipeline

⚠️ Exceptions

🤖 Agents

Inventory

$84.2M

↓ 3.2% MoM

Excess

$6.1M

147 SKUs

Open POs

312

18 past due

Fill Rate

96.4%

↑ vs target

🤖 Inventory Monitor — flagged 3 exceptions, drafted 2 supplier emails. Next run in 13 min.

Live data from Oracle Fusion via MCP · This is the actual product

Competitive Position

Why SaaSquach wins
the governance conversation.

Capability	SaaSquach	Generic AI (ChatGPT / Copilot)	Legacy BI Tools
ERP-native connectivity	✓ MCP connectors	✕ Manual export	✕ ETL pipeline
Live data (no ETL)	✓ Real-time	✕ Stale	✕ Stale
Governance / audit trail	✓ Full — every action	✕ Shadow AI risk	~ Varies
Agentic (runs on schedule)	✓ Pre-built agents	✕ Prompt-only	✕ No
RAG business context	✓ Per-tenant, isolated	✕ None	✕ None
Operator-designed UX	✓ Supply chain VPs	✕ Generic	✕ Generic
Data stays in ERP env	✓ Read-only MCP	✕ Data leaves	✕ Data leaves
Deploy time	✓ Days	✕ Months of setup	✕ 6–18 months

82% of enterprise AI tools are ungoverned. SaaSquach is built for the other 18% — the teams that need to defend their AI to auditors, legal, and the board.

Who We Sell To

Three buyers.
One conversation.

🏭

Executive in Supply Chain / Inventory

Primary buyer · Fortune 500 distrib., mfg., utilities

Manual reporting killing team productivity

Exception management by email

No real-time visibility into inventory position

Wants AI but afraid IT shuts it down

Win: reduce manual hours, improve fill rate, pass audits

💻

CTO / VP of IT

Technical evaluator · Security + compliance focus

82% of AI tools flagged as high-risk by security

Shadow AI exposure — 45% usage invisible to IT

Needs SOC 2, data residency, no data leaving ERP

Open protocol = no vendor lock-in

Win: MCP architecture passes security review before VP review

💰

CFO

Financial stakeholder · Compliance + ROI focus

$2.3M average cost of a SOX control failure

Excess inventory tying up working capital — undetected until too late

Fill rate misses costing customer relationships and revenue

Needs ROI proof before next budget cycle

Win: full audit trail, measurable savings, SOX monitoring

Pricing

Start with one connector.
Scale to your full stack.

MCP Connector

$6K/yr

Per ERP connector · Annual license

Oracle, BY SCPO, SAP, or Epicor

14+ live MCP endpoints

OAuth 2.0, TLS 1.3

Live product.
Early access open.

Live Today

Oracle Fusion 26A MCP connector — 14 endpoints

Blue Yonder SCPO MCP connector — 9 endpoints

Pre-built agent library — 12+ templates

Operator dashboards — inventory, PO, exceptions

Executive Briefing agent — daily, automated

RAG layer — per-tenant, self-improving

Live demo environment

Q2 2026

SAP S/4HANA MCP connector

Epicor Eclipse MCP connector

Companion LLM — supply chain domain model

Agent marketplace — customer-submitted templates

2026 REVENUE TARGETS

Bear Case$200K

Committed$587K

Stretch$1.975M

BIGGEST LEVER

Digital Integrator Channel

3 reps · 60/40 split
$155K bear · $350K committed · $1.1M stretch

Early Access

Ready to see your ERP
actually intelligent?

We're onboarding a limited Q2 2026 cohort — Fortune 500 supply chain and finance teams on Oracle Fusion, Blue Yonder, SAP, or Epicor. Tell us about your stack and we'll follow up within 48 hours.

Request Early Access → Try the Demo

Website

saasquach.ai

Email

hello@saasquach.ai

Founder

Drew Mattie · Charles & Roe

Built on MCP — the open standard behind Apple Xcode and Anthropic Claude · SaaSquach AI is a Charles & Roe company · March 2026

The AI platform yourERP was waiting for.

Enterprise AI is polarizing.Fast.

Two failure modes.Both are costing you.