What is Graip AI and Why It Matters for SAP CPQ

Every SAP CPQ project eventually hits the same wall: too many documents, too much manual entry, and too little time. Whether you’re dealing with Requests for Quotation (RFQs), complex technical specifications, or historical quotes from legacy systems, your sales and presales teams are burning hours just to get data into shape.

That’s where Graip AI comes in.

Graip AI is an Intelligent Document Processing (IDP) platform built specifically for high-precision, business-critical processes like Configure‑Price‑Quote. Instead of relying on templates or manually parsing documents, Graip AI uses machine learning, natural language processing, and pre-built AI agents to extract structured data from unstructured content, then connects that data directly into SAP CPQ workflows. From parsing RFQs and optimizing configurations to powering natural language search inside your product catalog, it’s not just smart automation, it’s sales enablement, reimagined.

If SAP CPQ helps you configure and price correctly, Graip AI helps you get there faster, more accurately, and with less manual drag. Think of it as a turbo engine layered on top of your quoting stack, reading, understanding, and acting on data that lives inside PDFs, spreadsheets, scanned documents, and emails.

Let’s break down how it works and why it’s a game-changer.

What Is Graip AI (And Its Core Purpose)

Graip AI is a multi-layered AI platform designed to bridge the gap between messy business documents and structured enterprise workflows. It doesn’t just extract text, it interprets, validates, and activates that information across downstream systems like SAP CPQ, ERP, and CRM.

At its core, Graip AI’s mission is to let business users work smarter with the documents and data they already have, without requiring rigid templates, fixed formats, or lengthy implementation cycles.

From Unstructured Documents to Structured Data

Most enterprise quoting workflows still depend on manual effort. A tender comes in as a PDF or Word file. A sales assistant manually extracts relevant specs. A presales engineer cross-checks product codes, dimensions, or requirements. A quote gets built, slowly.

Graip AI flips this workflow on its head. By using AI-trained extraction models and intelligent mapping engines, it reads documents the way a trained sales analyst would. It identifies key-value pairs, understands tables and nested structures, and maps them to corresponding product or pricing data in SAP CPQ. This saves time, reduces errors, and unlocks scalability.

Unlike older OCR or RPA systems, Graip AI isn’t just a text scraper, it’s a contextual interpreter.

Key Components of the Graip AI Platform

Graip isn’t a monolithic app. It’s a flexible platform made up of several components tailored to different business needs:

• Graip Go! – Light-touch IDP for simple document scenarios (invoices, forms, etc.)
• Graip Pro – Full-featured platform with API integration, audit logs, training models, and cross-system orchestration.
• Graip AI Agents – Pre-built or custom automation bots trained on specific business tasks: quote-to-cash, tender validation, proposal generation, and more.
• Graip Mind – Conversational AI interface that lets users query internal knowledge bases or product data using natural language inside SAP CPQ or CRM tools.

With each layer, organizations can start small (e.g. automate RFQ intake) and expand gradually (e.g. connect pricing, bundling, or compliance tasks) without heavy IT overhead.

How Graip AI Works (Technically, at a High Level)

Graip AI operates like a full-service analyst: it reads documents, extracts data, checks it, and pushes it where it needs to go. What sets it apart is how much of this happens without templates or human intervention, making it adaptable to real-world document chaos.

The process breaks down into three major stages: ingestion, intelligent processing, and activation.

Document Ingestion: Any Format, Structured or Unstructured

Graip starts by capturing data from virtually any source or format, PDFs, scanned images, Excel files, DOCX, emails, CAD files, you name it. Unlike traditional OCR systems, it doesn’t need documents to follow a strict layout.

Instead, Graip uses a combination of visual recognition, semantic understanding, and field mapping to interpret information regardless of structure. Tables, headers, freeform paragraphs, nested values, if a human can read it, Graip can too.

It’s especially useful in sales workflows where every RFQ or tender comes in a slightly different format, but still needs to be handled fast.

This template-free design makes it scalable across vendors, customers, and geographies, without the need for constant retraining or IT support.

Intelligent Processing: Extraction, Validation, Enrichment

Once the document is ingested, Graip’s engine goes to work:

• Extracts relevant fields using a combination of NLP, ML, and AI agents trained on business-specific contexts.
• Validates data against internal rules, product catalogs, or historical quote data.
• Enriches missing or vague information with suggestions, calculations, or fallback logic.

For example, if a tender document includes a product spec with only partial details, Graip can cross-reference the SAP product master and auto-complete the configuration. Or if a field seems out of tolerance (like a strange quantity or discount), it can flag it for review or recommend a fix.

The result is clean, structured data, ready for pricing, quoting, or follow-up.

This is a major leap from traditional document automation tools, which often need predefined templates and still require human validation. Graip can handle exceptions, adapt to new formats, and even learn from corrections over time.

Data Activation & Integration: Output to ERP, CPQ, CRM

Finally, once the data is clean, Graip doesn’t stop at creating a pretty table. It pushes that information to wherever it’s needed, usually SAP CPQ, but also ERP, CRM, or middleware platforms.

It supports structured output formats like JSON, XML, or direct API integration. This enables seamless quote creation, pricing calculation, or order generation inside SAP systems.

And because it’s built to operate in SAP landscapes, the integration is not just functional, it’s natively compatible with how SAP handles data objects, roles, and processes.

From RFQ input to SAP CPQ output, the process can be fully automated, cutting hours (or even days) out of the sales cycle.

Graip AI + SAP CPQ: What Changes for Quoting & Sales Teams

SAP CPQ is already a powerful platform, but like any system, its performance depends on the data that flows into it. That’s where most quoting processes break down. Sales teams waste hours retyping specs, hunting for legacy quote data, or validating tenders. This isn’t just slow, it’s risky. One error can erode margin, lose the deal, or spark compliance issues.

Graip AI changes that by becoming the front line of document intake and quote preparation, automating the messy middle between receiving a request and generating a valid, margin-protected quote.

Here’s what that looks like in practice.

Automating RFQ & Quote Workflows

In traditional setups, RFQs arrive as messy PDFs or Word docs. Sales engineers manually extract specs, search for matching products, and build configurations in SAP CPQ. This eats time and introduces inconsistencies.

With Graip AI:

• The RFQ document is uploaded or emailed.
• An AI agent reads and classifies requirements.
• Product mapping is done using historical data and business rules.
• A draft quote is automatically created in SAP CPQ, ready for review or submission.

This automation cuts quote prep time by up to 80%, according to real-world benchmarks.

For companies responding to tenders or complex B2B sales requests, that speed can mean the difference between winning and losing a deal.

Real-Time Pricing & Configuration Accuracy

Even minor mistakes in quoting, wrong specs, misaligned discounts, outdated bundles, can erode margin or require painful rework. Graip AI adds a precision layer by verifying configurations against the product master and pricing logic in real-time.

It can also flag risky combinations, suggest compliant alternatives, or adjust quotes to match company policies and margin thresholds.

Instead of relying on tribal knowledge or disconnected spreadsheets, your team gets guided, data-backed decisions, faster and safer.

Better Visibility, Faster Turnaround, Higher Win Rates

The compound effect of automation is huge:

• Sales teams respond faster.
• Quotes are cleaner and more compliant.
• Less time is wasted chasing clarifications or fixing errors.
• And deals are won on value, not just speed.

This isn’t just about productivity, it’s strategic. Industry studies show that 35–50% of deals go to the vendor who responds first, especially in fast-moving, competitive markets.

With Graip AI and SAP CPQ working together, your quoting process becomes a differentiator, not a bottleneck.

Beyond Quoting: Broader Use Cases Across the Enterprise

While Graip AI shines in SAP CPQ use cases, its architecture and capabilities go far beyond quoting. Any process that relies on unstructured documents, and needs fast, accurate data extraction, can benefit.

Think of Graip AI not just as a quoting assistant, but as a document intelligence platform that spans departments.

Document-Heavy Processes: Procurement, Finance, Compliance

Organizations often deal with tens of thousands of documents outside the sales cycle, purchase orders, invoices, vendor registrations, onboarding forms, compliance checklists.

Graip AI offers dedicated agents for:

• Accounts Payable / Receivable: Extracting invoice data, validating payment terms, reconciling records.
• Procurement & Vendor Management: Parsing vendor profiles, certificates, and product catalogs.
• Contracts & Compliance: Scanning agreements for risk clauses, renewal terms, or policy violations.

Each of these can be automated using a similar pattern: document ingestion → extraction → validation → system integration.

The result: faster cycles, fewer errors, and reduced workload across departments that still rely on email and Excel as their “workflow tools.”

Knowledge & Data Management with Graip Mind

A standout feature of the platform is Graip Mind, a conversational AI layer that allows users to query internal documents, pricing tables, product specs, and historical quotes using natural language.

Imagine a sales rep asking:

“What’s the discount history for this customer over the last 6 months?”

Or:

“Show me the quote we submitted for similar configurations last quarter.”

Graip Mind understands the question, scans internal knowledge repositories (or even previously processed documents), and returns structured answers, instantly.

This turns your document archive into a living knowledge base, accessible by voice or text, inside SAP CPQ or CRM.

For teams dealing with complex offerings or long sales cycles, that’s not just nice, it’s transformative.

Why Graip AI Stands Out: What Makes It Different

AI tools are everywhere, but not all are built with enterprise-grade quoting in mind. Many platforms still rely on rigid templates, shallow integrations, or generic AI that struggles with business-specific language.

Graip AI is built differently, from the ground up, to handle real-world business documents in complex, high-stakes workflows like SAP CPQ.

Here’s what makes it stand out.

Template-Free and Language-Agnostic Recognition

Most document automation tools require templates. Change the layout or language, and everything breaks. Not with Graip.

Graip AI uses advanced machine learning to recognize context and structure, no template training required. It understands:

• Tables embedded in scanned PDFs
• Freeform descriptions
• Multilingual content (140+ languages supported)
• Handwritten notes (where quality allows)

This makes it ideal for companies operating across regions, vendors, and departments. No matter how the input looks, Graip adapts.

You don’t need to standardize your customers, Graip AI meets them where they are.

Self-Learning, Scalable, and Secure

As documents are processed, Graip AI learns. Corrections made by users improve the system over time. This self-improving capability reduces the need for ongoing retraining or custom scripts.

It also scales easily, from single-use cases to full enterprise deployments, without sacrificing speed or accuracy.

Security-wise, it supports enterprise requirements: access controls, audit trails, role-based permissions, and compatibility with privacy frameworks like GDPR or ISO 27001.

This isn’t experimental AI, it’s enterprise-ready.

Seamless Integration with Enterprise Systems

Graip was designed to plug into real business ecosystems, not live in a sandbox. It supports:

• SAP CPQ, ERP, and CRM (natively)
• API integrations
• JSON/XML exports for middleware
• On-prem or cloud deployments

That means it’s not just a one-off automation hack, it becomes a reliable layer in your quote-to-cash architecture.

You’re not adding another tool, you’re upgrading how your data flows.

Considerations Before Implementation

Graip AI is powerful, but like any enterprise-grade tool, success depends on preparation. Before jumping into a rollout, it’s important to assess the foundation you’re building on.

The best AI implementation isn’t the most complex, it’s the one with the cleanest data, clearest goals, and the right people involved.

Here are the top things to consider.

Data Quality and Document Variability

Garbage in, garbage out. AI models, no matter how advanced, still rely on the quality of incoming data.

Before implementation:

• Standardize your product and pricing data where possible
• Tag and categorize documents (even loosely) to help initial training
• Document known edge cases, unusual formats, rare product bundles, or special approvals

Graip can handle variability, but the cleaner your baseline, the faster it delivers value.

If your data is scattered across PDFs, spreadsheets, and inboxes, Graip will help, but a basic hygiene check goes a long way.

Change Management and User Adoption

AI adoption isn’t just about technology, it’s about people. Teams used to manual quoting or legacy tools might resist “black-box automation.”

Here’s how to help them buy in:

• Start with a focused use case (e.g. RFQ auto-extraction or tender compliance)
• Involve end users early in the pilot design and feedback loop
• Define success metrics clearly (e.g. time saved, errors reduced)

Graip also allows for human-in-the-loop validation, so teams can review AI decisions during rollout. This builds trust and improves model performance over time.

Security, Compliance, and Integration Governance

Especially in regulated industries, it’s critical to plan for:

• Data privacy and access controls
• Retention policies and audit logs
• Role-based workflows
• Seamless integrations with SAP CPQ, ERP, and CRM systems

Graip supports these requirements out-of-the-box, but aligning them with your internal policies is key for long-term success.

What Kind of ROI and Benefits Companies Can Expect

AI is often sold on promise, but Graip AI delivers on performance. Whether your goal is to save time, reduce quoting errors, or speed up revenue, the value is tangible, and fast.

Most companies using Graip AI with SAP CPQ report measurable ROI within 6 months.

Here’s where that return comes from.

Time Savings and Reduction of Manual Tasks

Manual quote preparation can eat up hours, or days, especially when dealing with large tenders or multiple regions. With Graip AI automating document parsing, configuration, and quote generation:

• Quote prep time drops by up to 80%
• Sales engineers spend less time on data entry and more time on value-added tasks
• Responses to RFQs become faster, more consistent, and easier to track

One large organization using Graip AI saw a 317% average annual return from automating just their RFQ recognition flow.

Improved Accuracy and Fewer Errors

Every manual touchpoint is a potential error, misread specs, outdated prices, wrong product bundles. These mistakes aren’t just embarrassing, they cost money and credibility.

Graip AI reduces this risk by:

• Validating configurations in real time
• Aligning quotes with business rules and product constraints
• Suggesting corrections for out-of-bounds inputs or margin leaks

More accurate quotes mean fewer reworks, fewer escalations, and smoother approvals.

Faster Quote-to-Cash Cycles and Strategic Sales Advantage

Time kills deals. The faster you quote, the more likely you are to win, especially in competitive or high-volume markets.

By streamlining the front end of the quoting process, Graip AI shortens the entire quote-to-cash cycle. Combined with SAP CPQ’s automation on approvals and margin control, this creates a high-speed, low-friction sales engine.

Sales teams become more responsive. Customers get quotes faster. Decision-makers see value sooner.

It’s not just an operational win, it’s a competitive edge.

Summary and Next Steps

Graip AI isn’t just another automation tool, it’s a document intelligence platform purpose-built for the realities of enterprise sales, quoting, and data processing. When paired with SAP CPQ, it transforms how companies respond to RFQs, configure complex offers, and manage customer communications.

To recap:

• Graip AI reads and understands documents, from RFQs to technical specs, without needing rigid templates.
• It integrates seamlessly with SAP CPQ, automating quote creation, pricing validation, and document handling.
• It supports real-time optimization, multilingual proposals, historical quote recall, and even conversational search through Graip Mind.
• Companies achieve measurable ROI quickly, often within the first two quarters, through reduced manual work, faster quoting, and improved accuracy.
• Beyond sales, it adds value across procurement, finance, and compliance with specialized AI agents.

If your SAP CPQ workflow still involves copy-pasting from emails or decoding tenders manually, it’s time to rethink your quoting process.

Graip AI helps you sell smarter, move faster, and quote with confidence.