SIX ERP Is AI-First So You Can Be Customer-First

Turn everyday business data into faster decisions, smarter manufacturing, and a lasting competitive advantage.

“SIX ERP is AI-first so you can be customer-first. Let’s turn your operations into a compounding advantage—starting this quarter.”

TL;DR

SIX ERP brings practical AI into the places where your team already works: finance, sales, purchasing, warehousing, manufacturing, and customer communication.

• Document AI reads supplier invoices, receipts, payment documents, and expenses. It extracts key fields, checks them against your rules, and routes them into the correct approval process.
• Generative AI helps teams prepare proposals, statements of work, follow-up emails, summaries, and customer documents that match your products, pricing, clauses, and tone of voice.
• Embedded Chat AI lets users ask questions directly inside SIX ERP. It can explain records, summarize activity, guide users through tasks, and suggest the next sensible action—while respecting user permissions.
• Predictive and prescriptive AI helps businesses forecast demand, cash flow, supplier risks, replenishment needs, and production capacity.
• Manufacturing AI goes beyond basic statistical forecasting. It can combine order history with live order intake, quotations, seasonality, supplier lead times, stock levels, production capacity, machine performance, planned promotions, customer behavior, and external signals. This helps manufacturers plan materials and production before shortages, delays, or missed opportunities become visible.

The result is simple: fewer repetitive tasks, faster decisions, clearer planning, and more time for your people to focus on customers and growth.

Why AI-First—and Why Now?

Margins are under pressure. Customers expect faster answers. Supply chains remain unpredictable, and compliance work is increasing instead of disappearing.

Traditional automation has already solved many rule-based tasks. It can move an invoice through an approval workflow, create a purchase order when stock reaches a minimum level, or send a payment reminder after a due date.

But many important business decisions are not based on simple rules.

A supplier invoice may look correct but contain an unusual price increase. A customer may not have placed an order yet, but their quote activity and past buying pattern may signal a likely demand increase. A production plan may be technically possible, yet still risky because a critical material is delayed or a work center is already close to full capacity.

This is where AI becomes useful.

At SIX ERP, AI-first does not mean replacing people with an unpredictable black box. It means designing ERP processes so that intelligence is available where decisions are made.

Our approach is built on four principles:

• Design for intelligence, not only automation. Rules are still important, but AI helps when the situation is unclear, incomplete, or changing quickly.
• Place AI inside everyday workflows. Users should not need to export data, open another tool, or manually build reports just to receive useful insight.
• Keep people in control. AI can recommend, explain, draft, flag, and prioritize. Your teams approve important decisions.
• Make every action traceable. Recommendations, changes, approvals, and exceptions should remain visible and auditable.

Automation handles repeatable rules. AI helps teams work through uncertainty. Together, they reduce cycle times without reducing control.

The AI Foundation Inside SIX ERP

AI is only useful when it works with clean, connected business data. SIX ERP provides the operational foundation by bringing core business processes into one environment.

This can include accounts payable, accounts receivable, inventory, purchasing, CRM, projects, production, warehousing, and financial data. SIX ERP can also connect with email inboxes, SFTP folders, APIs, scanners, and other external systems.

The AI layer then works on top of this structured information.

Document AI

Document AI uses OCR, extraction, validation, and business rules to process invoices, receipts, payment documents, and expenses.

It can identify information such as supplier name, invoice number, due date, line items, VAT, currency, totals, payment references, and purchase-order details. It can then compare the document with purchase orders, goods receipts, contracts, or company policies.

Instead of manually typing every field, your team can review a prepared record, resolve exceptions, and approve the result.

Generative AI

Generative AI helps create business content based on approved company information.

It can prepare a first draft of a proposal, scope of work, service description, customer follow-up, meeting summary, or internal report. The draft can be based on your CRM opportunity, price lists, service catalogue, delivery terms, templates, and brand voice.

The AI prepares the first version. Your team remains responsible for the final version.

Predictive and Prescriptive Intelligence

Predictive AI looks for patterns and signals that may affect future results. Prescriptive AI goes further by suggesting a possible next action.

For example, the system may flag a supplier whose lead times are becoming less reliable, predict a potential stock shortage, suggest a different replenishment date, or identify receivables that need earlier follow-up.

Context-Aware Chat AI

Chat AI brings these capabilities into the ERP screen itself. Users can ask questions in plain language while viewing a customer, invoice, production order, warehouse receipt, or purchasing record.

The assistant can explain, summarize, guide, and draft—based on the user’s permissions and the context of the current record.

Document AI for Finance: Faster Processing Without Losing Control

Finance teams often spend too much time moving information from documents into systems. Supplier invoices arrive through email, portals, scans, PDFs, or uploads. Each document needs to be checked, categorized, matched, approved, and posted.

SIX ERP Document AI helps make this process faster and more reliable.

Supplier and External Invoices

Invoices can enter the system through email, drag-and-drop, vendor portals, scanners, or API connections.

The AI workflow can:

• Read the document and extract key invoice fields.
• Identify suppliers, invoice numbers, line items, VAT rates, currencies, totals, and payment terms.
• Check whether the invoice matches an existing purchase order and goods receipt.
• Flag unexpected prices, duplicate invoices, missing information, incorrect dates, or unusual VAT handling.
• Route the document to the right approval workflow based on amount, department, supplier, project, or cost center.
• Create a clean draft accounts-payable entry for review and posting.

The goal is not blind automation. The goal is to let your team spend time on exceptions instead of typing routine data.

Payments and Remittances

Payment matching can also become smarter. SIX ERP can help match bank transactions and remittance details to invoices using references, amounts, dates, customer names, and permitted tolerances.

When something does not match exactly, the system can suggest possible explanations, such as a partial payment, short payment, early-payment discount, bank fee, or payment covering multiple invoices.

Expenses and Receipts

Employees can submit receipts and expense documents in multiple languages. AI can support categorization, duplicate checks, policy validation, and assignment to the right employee, project, cost center, or travel record.

It can also help normalize mileage claims, per-diem rules, merchant categories, and expense limits.

The benefit is a faster close, cleaner records, fewer manual errors, and stronger financial control.

Generative AI for Sales and Customer Communication

A slow proposal process can cost business. If a sales team needs several days to prepare a quote, collect technical details, check clauses, and write customer emails, the customer may already be speaking to a faster competitor.

SIX ERP can use Generative AI to help create customer-facing documents in minutes rather than days.

The AI can use approved sources such as:

• Your service catalogue and product data.
• Customer-specific price lists and rate cards.
• Standard clauses and contract templates.
• Service-level agreements.
• Project timelines and delivery assumptions.
• Previous approved proposals.
• Your brand voice, language, and communication style.

It can then prepare drafts for:

• Service proposals.
• Statements of work.
• Change requests and change orders.
• Customer follow-up emails.
• Meeting summaries.
• Project status updates.
• Internal sales handovers.

Every document can still go through approval steps, tracked edits, and version control.

AI helps your team respond faster. It does not remove commercial responsibility or legal review.

Chat With Your ERP

People should not have to search through several screens, reports, and emails to understand a business situation.

With Chat AI inside SIX ERP, users can ask natural questions such as:

• “Why did invoice #4578 fail the three-way match?”
• “Show me the supplier invoices waiting for approval for more than five days.”
• “Draft a polite supplier email about a missing goods receipt note.”
• “Summarize this week’s overdue receivables and suggest follow-up actions.”
• “Which products are at risk of stockout next month?”
• “Why is this production order behind schedule?”
• “Which material shortage could delay our next planned production run?”

The assistant can be role-aware, meaning users only see the data they are allowed to access. It can also be context-aware, meaning it understands the customer, invoice, production order, or warehouse record currently open on the screen.

This makes ERP easier to use, especially for teams that need answers quickly but do not work with reports every day.

AI in Manufacturing: From Historical Forecasting to Intelligent Planning

For manufacturers, AI can become far more valuable than a simple statistical demand forecast.

Traditional forecasting often looks mostly at historical sales. It may compare this month with the same month last year, calculate seasonality, and suggest future demand. This is useful—but it is not enough in a changing market.

A factory does not only need to know what sold in the past. It needs to understand what may happen next and what that means for materials, capacity, suppliers, production schedules, and customer commitments.

Demand Prediction Beyond Historical Sales

AI can improve demand planning by combining internal and external signals, such as:

• Historical sales and order patterns.
• Open sales orders and delivery commitments.
• CRM opportunities, quotations, and probability-weighted sales pipelines.
• Customer buying behavior and repeat-order cycles.
• Seasonality, public holidays, and planned promotions.
• E-commerce activity, website interest, and product searches.
• Planned price changes and product launches.
• Market, industry, weather, or regional signals where relevant.
• Customer-specific agreements and forecasts.
• Returns, cancellations, and changes in demand quality.

For example, a furniture manufacturer may see more quotation activity from a major retailer before actual orders arrive. A food producer may identify higher demand before holiday periods. A spare-parts business may recognize that certain products rise in demand after seasonal weather changes.

AI can turn these signals into a demand outlook before the final order appears in the system.

Intelligent Material Requirements Planning

The next step is material planning.

AI can look beyond a standard Bill of Materials calculation and consider:

• Current inventory and available-to-promise stock.
• Reserved stock and material already assigned to production orders.
• Open purchase orders and expected arrival dates.
• Supplier lead-time changes and delivery reliability.
• Minimum order quantities and packaging constraints.
• Alternative suppliers and substitute materials.
• Yield losses, scrap rates, and real production consumption.
• Material shelf life and batch requirements.
• Production capacity and machine availability.
• Maintenance schedules and planned downtime.
• Work-center bottlenecks.
• Customer priority and promised delivery dates.

This means the system can help answer more useful questions than, “What should we order?”

It can help answer:

• Which materials will create the next production bottleneck?
• What must we purchase now to protect customer delivery dates?
• Which supplier delay could affect revenue next month?
• Should we produce earlier because a critical material is currently available?
• Can we accept a new customer order without risking existing commitments?
• Which substitute material or supplier would reduce production risk?

AI for Production Scheduling and Capacity Planning

AI can also support better production planning by studying how work actually moves through the factory.

It can analyze planned versus actual production times, setup times, machine uptime, quality issues, scrap, operator availability, and work-center capacity. Over time, it can help planners identify where bottlenecks are likely to form.

For example, the system may recognize that a certain machine is technically available but often becomes overloaded because setup time is underestimated. It may recommend sequencing similar production runs together, moving work to another available resource, or ordering materials earlier to avoid idle time.

This is not about letting AI run a factory without people. It is about giving planners a clearer view of risks and options before the problem reaches the shop floor.

Quality, Waste, and Predictive Maintenance

Manufacturing AI can also support quality control and maintenance.

By comparing production results across batches, machines, shifts, materials, and operators, it can identify unusual patterns that deserve attention. It can flag rising scrap rates, repeated delays, unexpected material consumption, or quality deviations.

When machine and sensor data are available, AI can help detect early signs of performance changes. This may allow maintenance teams to plan inspections or service work before a small issue becomes an unplanned production stop.

Better planning reduces waste. Better visibility protects margins. Better maintenance protects delivery promises.

Controls, Compliance, and Trust

AI must be useful, but it must also be safe.

SIX ERP’s AI approach is designed around business control, privacy, and accountability.

• Role-based access ensures users only see records they are allowed to access.
• Audit trails help record AI-supported actions, approvals, changes, and exceptions.
• Human review steps can be required for financial postings, commercial documents, pricing changes, and other sensitive activities.
• Data minimization and privacy controls help companies manage personal and sensitive data responsibly.
• Configurable retention and security policies support your internal governance requirements.
• Model governance can include controlled versions, evaluation, monitoring, and rollback procedures where AI capabilities are deployed.

AI should make your business easier to control—not harder to understand.

What Customers Can Expect

When AI is embedded in everyday ERP work, the value compounds across departments.

• Higher touchless processing for routine invoices, receipts, and payment matching.
• Shorter finance cycles, from document receipt to approval and posting.
• Better working-capital management through clearer receivables, payables, and cash-flow forecasts.
• Faster commercial response times with proposal and customer-document drafting.
• More accurate inventory and purchasing decisions based on changing demand and supplier risk.
• Smarter manufacturing plans that consider materials, machines, capacity, lead times, and customer demand together.
• More confident teams because they spend less time searching, typing, and repeating tasks.

A Practical Implementation Journey

AI works best when it starts with a real business problem, not a broad promise.

Discovery: Weeks 0–2

Choose two or three high-value use cases, such as supplier invoice processing, employee expenses, proposal generation, or demand planning. Define clear goals, including cycle time, exception rate, forecast accuracy, or approval speed.

Pilot: Weeks 3–8

Enable the selected features, establish approval rules, test workflows, and compare results against your current process. Start with a limited team or document type before expanding.

Enablement: Weeks 8–12

Train users by role, appoint internal champions, improve templates, refine prompts, and adjust rules based on real usage. This is where AI becomes part of the working routine.

Scale: Week 12 and Beyond

Expand successful use cases into accounts receivable, purchasing, warehousing, manufacturing, customer service, and management reporting.

Continuous Improvement

Monitor outcomes, review exceptions, refresh data sources, and improve workflows over time. AI becomes more valuable when the business learns how to use it well.

KPIs Worth Tracking

A practical AI scorecard should focus on measurable business outcomes:

• AP touchless processing rate.
• Invoice cycle time.
• Exceptions per 100 documents.
• Time spent on manual data entry.
• Proposal turnaround time.
• Sales win rate and quote-to-order conversion.
• Forecast error for demand, materials, and cash flow.
• Stockout frequency and emergency purchasing.
• Supplier lead-time reliability.
• Production-plan adherence.
• Scrap and waste rates.
• User satisfaction and adoption.

Start Small. Build a Bigger Advantage.

SIX ERP offers a practical path into AI-enabled business management. Start with the processes where your team loses the most time today. Prove the value. Then expand into more advanced planning, forecasting, and manufacturing intelligence.

You can use SIX ERP’s AI capabilities in a way that fits your company, including usage-based document processing, generated content, private endpoints, and tailored model options where required.

The future of ERP is not simply recording what happened. It is helping your business understand what is happening, what may happen next, and what action should be considered now.

Talk to the SIX ERP team to explore how AI can improve your finance processes, customer communication, demand planning, material availability, and manufacturing performance.