Now accepting new projects — limited slots available. Get started →

Your ERP Knows the Answer. Your Team Can't Ask the Question.

If you're a CFO watching analysts export to Excel because SAP's interface hasn't changed since 2008, you're funding a database nobody queries.

Your ERP has 10 years of business data that nobody queries because the interface is from 2005. Your finance team exports to Excel to do any analysis. Your executives get reports that are 2 weeks old. We connect Claude to your SAP, Oracle, or Dynamics system so anyone can ask questions in plain English and get answers from your enterprise data in seconds.

Get Your Enterprise AI Quote See Use Cases
ERP AI Integration

ERP AI integration connects a large language model — in this case Claude — directly to your existing SAP, Oracle, or Dynamics environment via API or middleware. Users type questions in natural language and receive answers drawn from live ERP data, without writing queries or exporting files. The system translates intent into structured queries, executes them against your ERP, and returns interpreted results with full audit trail.

What is holding your current website back?

Common gaps we find in nearly every audit.

Finance analysts spend hours each week exporting ERP data to Excel before any real analysis can begin, creating version-control problems and stale numbers in board decks.
Risk: Decisions get made on data that is days or weeks old, and no one in the room knows which spreadsheet is authoritative.
Executives who want a simple answer — gross margin by product line this quarter versus last — must file a report request and wait for an analyst to build it manually.
Risk: Strategic questions go unasked because the cost of getting an answer is too high, so the business operates on assumptions instead of data.
Your ERP implementation cost millions and took years, but day-to-day usage is limited to the handful of staff trained to navigate its query interface.
Risk: The majority of your team works around the system rather than through it, which means your ERP investment degrades into a transaction ledger rather than a decision-making asset.

How We Build This Right

Every safeguard, built in from Day 1.

Data Never Leaves Your Perimeter

The integration queries your ERP within your existing network boundary. No business data is sent to external servers for training or storage. Claude processes query intent; your ERP processes the data.

Role-Based Access Enforcement

The AI layer inherits and enforces your existing ERP user permissions. A regional manager asking about payroll sees only what their ERP role allows. No new permission surface is introduced.

Full Query Audit Logging

Every natural language question, its translated query, and the returned result is logged with user, timestamp, and data scope. Audit trails satisfy internal controls and external review requirements.

What We Build

Purpose-built features for your industry.

Natural Language Query Engine

Users type questions the way they would ask a colleague — 'What was our inventory turnover in the Northeast last quarter?' — and the system translates that into the correct ERP query, executes it against live data, and returns a plain-English answer with the underlying figures.

Live ERP Connectivity

The integration connects to your SAP, Oracle, or Dynamics instance via official APIs or certified middleware, pulling real-time data rather than cached snapshots. Answers reflect the current state of your system at the moment of the question.

Contextual Follow-Up Conversations

Users can drill into an answer with follow-up questions without starting over. Ask about total revenue, then immediately ask to break it down by region, then by customer segment — each turn builds on the last within the same data context.

Structured Output for Reporting

Answers can be returned as narrative summaries, formatted tables, or structured JSON for downstream use in dashboards and presentations. Teams get the format they need without a secondary export or formatting step.

Built on a Modern, Secure Stack

Claude APISAP APIOracle APIMicrosoft Dynamics APISupabaseVercel

Our Development Process

From discovery to launch. Quality at every step.

01

ERP Environment Audit

1 week

We map your ERP version, module configuration, available APIs, and current user permission structure. This defines the technical integration path and surfaces any data quality issues that would affect answer accuracy before we write a line of code.

02

Query Domain Design

1-2 weeks

We work with your finance, ops, and IT stakeholders to define the question domains the system needs to handle — cost center analysis, inventory status, vendor performance, and so on. This shapes the prompt engineering and determines which ERP tables and fields the integration must access.

03

Integration Build and Security Review

2 weeks

We build the API layer connecting Claude to your ERP, implement role-based access inheritance, configure audit logging, and run a security review against your internal controls requirements. The integration is deployed in your environment, not ours.

04

Validation, Training, and Handoff

1-2 weeks

We run accuracy testing across your defined query domains with real ERP data, correct any mistranslations or edge cases, and conduct working sessions with your finance and ops teams. Documentation and runbooks are handed to your IT team for ongoing maintenance.

Social Animal

Ready to discuss your your erp knows the answer. your team can't ask the question. project?

Get a free quote
Related Resources
Solution
Manufacturing AI Integration
Solution
Healthcare AI Integration
Solution
Logistics AI Integration
Solution
Salesforce AI Integration
Solution
Custom Database AI Integration
Solution
Ecommerce AI Integration

Frequently Asked Questions

We work with SAP S/4HANA and ECC, Oracle ERP Cloud and E-Business Suite, Microsoft Dynamics 365 and NAV, and NetSuite. Connection methods include REST APIs, OData, RFC/BAPI for SAP, and custom middleware where the architecture requires it.
AI doesn't replace your ERP reporting -- it sits alongside it. But instead of hunting for the right pre-built report, you just ask the question. "What were our top 10 customers by revenue last quarter?" comes back in seconds, pulled directly from your live data. Ad-hoc analysis without a ticket to IT.
A read-only AI assistant connected to a single ERP module starts at $25,000. Multi-module integration with workflow actions runs $50,000 to $90,000. Enterprise-wide deployment across multiple departments typically falls in the $100,000 to $180,000 range -- depending on the number of modules, departments, and custom workflow rules involved.
Single module read-only takes 6 to 8 weeks to deploy. Multi-module with actions runs 12 to 20 weeks. And honestly, the phased approach isn't just recommended -- it's the right way to do it. Start with one department, validate everything works correctly, then expand.
More solutions

Explore related industries

Lovable Agency -- Ship Your Lovable App for Real Users

Lovable got you a working prototype in days. We are the agency that makes it safe, fast, and maintainable -- or rebuilds it right when the platform ceiling arrives.

Hire an AI Developer -- or Hand Us the Whole Build

You searched for an AI developer. What you probably need is a shipped product: AI features that work, built by a senior team that uses AI tooling without shipping AI slop.

Replit Agency -- From Agent Prototype to Production App

Replit Agent got you 80 percent of the way. We are the agency that ships the last 20 -- auth, payments, performance, and a codebase your next developer will not curse at.
Need enterprise scale?

200+ employee company? Complex multi-tenant, auction, or multi-location requirement? We have a dedicated enterprise capability track.

View Enterprise Hub

Get Your Quote

Most quotes delivered within 24 hours.

Or book a 30-minute call
Get in touch

Let's build
something together.

Whether it's a migration, a new build, or an SEO challenge — the Social Animal team would love to hear from you.

Get in touch →