01
Sales cycles delays and lost opportunities
Slow response times and inefficient processes reduce competitiveness, causing missed deals and lost revenue opportunities.
Win the deal before your competitor even responds
Equip your sales team with an AI-powered automation layer that converts incoming customer requests into structured quotes and sales orders.
The most effective way to automate high-volume quote and order requests is through
AI-powered execution that completes the full RFQ-to-Order workflow inside enterprise systems
How it works
From customer or partner email to SAP ERP posted order
Intake
Reads inbound RFPs, RFQs, or POs (email, PDF, Excel) in 100+ languages.
01
Map and resolve
Matches customer part numbers, specifications, or descriptions to SAP Material Master.
02
Validate
Check parameters against SAP ERP data in real time, flagging exceptions and missing specifications for human review.
03
Execute
Posts sales inquiries, quotes, and orders directly into SAP ERP and CPQ system with a full audit trial.
04
Confirm
Sends automatic order confirmation to the customer.
05
ChallengeS GrAIP.AI solveS
02
Scaling ability dependency on headcountTo increase sales operations efficiency companies are forced to hire more staff.
03
Manual processes slowing down sales operations Companies still rely on manual handling of RFQs, RFIs, quotes, tenders, orders, leading to delays, errors, and unnecessary operational overhead.
04
Fragmented systems and process gapsEach new process often requires a new tool, creating disconnected systems, full of legacy and poor data flow between them.
05
Slow Time-to-Quote and order processing High document volumes and complex product configurations make it difficult to respond quickly to customer requests, slowing down deal velocity and reducing win rates.
06
High Cost of software expansion Automation attempts often require purchasing additional software, increasing IT complexity and total cost of ownership.
07
Revenue leakage and hidden errors
Manual data entry and disconnected workflows lead to pricing inconsistencies, missed line items, and incorrect order processing, impacting revenue.
08
Product catalog and master data issues Product catalog errors and mess (together with configurable products complexity) significantly slows down quote creation.
The Solution
Automate the processing of sales documents from RFQ and RFI through to sales order. The platform handles all related documents, supports reconciliation (such as PO-to-invoice matching), manages complex configurable products, and integrates into SAP environment for manufacturing and distribution.
Strategic Benefits of Graip.AI for Different Industries
01
Discrete
Manufacturing
End-to-end acceleration of discrete manufacturing’s commercial processes, including configuration, variant management, pricing, and order orchestration with a 70–90% reduction in manual effort. This brings higher revenue velocity, improved win rates, reduced configuration errors, rework, and margin leakage across the Quote-to-Cash lifecycle.
02
Process
Manufacturing
End-to-end optimization of process manufacturing’s commercial and supply chain workflows, including formulation and recipe management, batch-aware configuration, regulatory compliance and pricing, with a 70–90% reduction in manual effort. This drives higher revenue velocity, improved margin control, and better customer experience, while reducing formulation errors, batch rework, off-specification production, and compliance-related margin leakage.
03
Wholesale
Distribution
End-to-end transformation of wholesale commercial and Order-to-Cash workflows, including pricing consistency, discount governance, promotion and rebate management, and multi-channel order orchestration, with a 70–90% reduction in manual effort. This drives more efficient order cycle times, improved fulfillment accuracy, and stronger margin protection, while reducing quoting errors, shipment mistakes, and pricing leakage across high-volume distribution operations.
Agentic AI key outcomes
Graip.AI combines the power of proven intelligent document processing with advanced technologies, including AI Agents tailored to each client's use case, to identify optimal solutions and deliver the best possible business outcomes.
Revenue velocity
- Intake-to-quote or PO-to-confirmation cycle drops from days to hours
- First to respond wins – especially where price validity windows are short
- Peak volume absorbed without delays or backlogs
Accuracy
- Correct product, grade, or SKU resolved automatically without wrong items entered
- Constraints (ATP, lot size, compliance) checked before any commitment is made
- Errors caught at intake, not discovered after order acceptance
Team productivity
- Teams work from generated drafts and extracted context, not blank pages
- Peak seasons and volume spikes handled without overtime or extra headcount
- Staff focus on exceptions and relationships, not data entry
Pricing discipline
- Agreed rates, tiers, and surcharges enforced automatically on every transaction
- Pricing remains consistent across representatives, regions, and channels
- Special requests routed for approval without ad-hoc decisions
Customer experience
- Customers send requests in their own format, language, and part numbers
- Fast, accurate responses replace slow, generic replies
- Proactive communication on issues -no silence followed by surprises
CPQ / ERP ROI maximization
- Intake bottleneck eliminated – clean data reaches downstream systems from day one
- No errors, missing fields, or batch corrections needed
- Existing system investments deliver full value immediately
Graip.AI provides native integration with SAP environments: SAP S/4HANA, SAP ECC, SAP Business One, Sales Cloud, Service Cloud, CPQ, BRIM, SB, AVC/LO-VC, and Ariba
Agents work directly with SAP data models, validating inputs against business logic and variant configuration before posting — ensuring accurate processing of complex orders and sales documents.
API Integrations
How to start your agentic way
Discovery workshop
Joint mapping of your Q2C pain points to the Graip.AI Agent portfolio
01
ROI business case
Customer-specific ROI model, outcome-based expectations
02
Pilot in 2-4 weeks
For 1 AI Agent implementation to production – from 2 weeks
03
Got questions?
Alexandra Zaharenko
Sales Executive
Contact us