What do MTC’s AI applications do?

They put AI to work on your existing SAP Business One data: Agentall digital workers for B1, custom agent development, and BI + AI business analytics, powered by SAP Business AI and MTC Agentall.

Do we need to replace our current ERP to use AI?

No. AI connects to your existing SAP Business One data rather than starting over, so analytics, processes and agents run inside your current system.

What does the AI offering include?

Three main directions: BI + AI analytics (ask-your-data and insight), Agentall on B1 (role-based digital workers), and custom agent development (automating specific workflows).

How is data security handled?

AI runs on your own B1 data, applied within your authorizations and compliance requirements; the exact approach depends on your deployment model.

PRODUCTS · AI APPLICATIONS

MTC AI Applications: Make SAP Business One a Thinking Business Assistant

Turn SAP Business One from a "system of record" into a thinking assistant

AI isn't a separate system; it plugs into your existing SAP Business One data. Let analytics generate insights automatically, let processes run themselves, let Agents do the work for your specific scenarios. The foundation is already there; we just make it start thinking.

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DUAL-ENGINE ARCHITECTURE

AI on B1, powered by two engines working together

Generic LLMs don't understand your business data; proprietary Agents lack a reliable data foundation. MTC's approach is to mesh both together.

Native Engine

SAP Business AI

AI built into SAP Business One by SAP, natively understanding ERP financial and business data rules. Ready to use, compliant and reliable.

Proprietary Engine

MTC Agentall

An Agentic AI layer purpose-built for SAP Business One: a layer of "digital workers" inside B1. Role-based AI Agents (sales, procurement, finance, inventory, production) that monitor data, proactively plan and suggest, automate processes, and collaborate with people.

In one sentence: The native engine ensures "accuracy"; Agentall ensures "relevance." The data foundation comes from B1, extensions and integrations run through MERP, and the Agentic AI layer is built on top of both, taking enterprises from "using ERP" to "running the business with digital workers."

THREE PRODUCT LINES

From ready-to-use, to deeply customized

Agentall on B1

"Digital workers" built into B1: role-based AI Agents that automate processes, answer questions in plain language, and proactively make suggestions.

Typical scenarios: Sales order automation; ask questions in plain language and get instant reports; sales/procurement/finance/inventory/production Agents collaborate.

Learn about Agentall →

Custom Agent Development

Enterprise-grade AI Agent building platform: develop dedicated Agents for your specific scenarios, handing the heaviest, most specialized workflows to them.

Typical scenarios: Custom Agent development; MCP integration with external tools and data; intelligent document extraction; enterprise knowledge base Q&A.

Learn about Custom Dev →

Business Analytics BI + AI

AI-powered Q&A and self-service analytics reshape business intelligence: real-time reports and dashboards with reasoning, visualization, insights and recommendations.

Typical scenarios: Ask and retrieve data anytime anywhere; self-service drill-down on metric hierarchies; anomaly detection and root cause; forecasting and forward-looking recommendations.

Learn about BI + AI →

AI ADOPTION DECISION MATRIX

What to do first depends on where you stand

The most common mistake with AI adoption is trying to "do everything at once." We recommend a phased approach based on your current digital maturity.

Your Current State

Recommended First Step

Corresponding Product Line

Not yet on B1 / data scattered everywhere

Build the data foundation first, then talk AI

Start with SAP Business One →

Already on B1, lots of repetitive manual work

Use ready-made AI assistants to reduce workload

Agentall on B1 →

Already on B1, have dashboards but can’t see where problems are

Add AI insights and root-cause analysis to reports

Business Analytics BI + AI →

Have a clear, unique pain point to automate

Develop a dedicated Agent

Custom Agent Development →

Not sure where you stand? Take a Management Maturity Assessment → first, then decide where AI should enter.

Download the "AI Adoption Roadmap"

An AI adoption roadmap for growing businesses: from building the foundation to deploying Agents: what to do at each step, pitfalls to avoid, and how to measure ROI.

FAQ

Common questions about AI adoption

What foundation do I need before adopting AI?+

The most important thing is a unified, clean data foundation, which is exactly what SAP Business One provides. AI insight quality depends on data quality; the more solid the foundation, the more reliable the AI. If you haven’t implemented B1 yet, we recommend building the foundation first.

Is the AI secure? Will my data leak?+

Agentall follows SAP Business One’s existing permission and financial rules; data visibility matches what the employee sees in B1. Jointly secured by SAP Business AI (native) and MTC Agentall, with compliance and security as prerequisites. More details on data security and compliance are available during consultation.

Can I use these AI applications without SAP Business One?+

The AI’s value comes from being connected to your real operational data. Without the B1 data foundation, AI is just a generic assistant; it can’t leverage its advantage of understanding your business. We recommend planning B1 and AI together.

Want to know what AI can do first in your business?

We bring SAP Business AI and MTC Agentall dual engines to help you see where to start for maximum ROI.