ai for sap

Act on what SAP already knows

Capture more sales and margin without changing SAP. AI agents read SAP, catch what it misses, and draft the fix your team approves in SAP.

Orange welding robots on an automotive assembly line
    • AWS
    • OpenAI
    • IBM
    • Samsung
    • Cisco
    • EY
    • HSBC
    • J.P. Morgan
    • Klarna
    • Paperspace
    • Hugging Face
    • Unilever
    • Graphcore
    • Ada
    • Sentry

    Earn more from the SAP you already run

    1. Capture more sales

      Orders change when demand does, so fewer products run out.

    2. Pay only what you owe

      Duplicates, short deliveries, and changed bank details are caught before payment.

    3. Keep plants running

      Repairs land in planned downtime, with the part already on the shelf.

    4. Trust the numbers

      SAP, POS, and your reports agree before anyone acts on them.

    Let's find where SAP exceptions cost you most

    SAP stays as it is, and your team approves every change. Start with one plant, category, or report, or plan a roadmap for AI on SAP with us.

    01Discovery

    In a four-week assessment AWS can fund, we interview your planners and IT team, check one area's SAP data against your reports, and size what each problem costs.

    Use cases that catch exceptions across SAP

    Demand Forecasting & Inventory

    Explain demand spikes with POS and outside signals, check open SAP orders before adding more, and draft the order change for a planner to approve.

    • Spikes explained with POS and outside signals
    • Open POs checked before ordering more
    • Drafts saved to SAP for your buyer to release

    Invoice Processing

    Read invoices, delivery notes, and certificates in any layout, match them to the SAP purchase order and goods receipt, and send only the exceptions to accounts payable.

    • Three-way match against SAP
    • Duplicate, price, tax, and bank-detail checks
    • Post, park, or block in SAP after approval

    Predictive Maintenance

    Rank every machine by failure risk from line stops, SAP maintenance history, and sensors where fitted, then draft the repair, its downtime window, and the spare part for a maintenance manager to approve.

    • Risk ranked from line stops and SAP history
    • Repairs booked into planned downtime
    • Work order and parts request in SAP after approval

    Sales Audit & Data Readiness

    Check SAP against your POS, warehouse, and reports every day, fix duplicate product codes and unit errors, and send what the agent can't fix to finance with its cause.

    • Daily SAP vs POS sales audit
    • Duplicate code and unit fixes
    • Cause traced to the transaction

    Works beside SAP, never inside it

    Nothing installed in SAP

    Whether you run RISE, SAP on AWS, or on-premises, SAP stays your system of record.

    Connects on SAP's standard APIs

    Agents reach SAP through SAP BTP and the AWS for SAP MCP Server.

    Runs in your own AWS account

    The agents run inside your account, under your own access controls and security policies.

    Trusted with the numbers behind the plan

    Our team led replenishment at 7-Eleven Thailand, across 15,000+ stores

    The off-the-shelf tool it replaced couldn't handle Thailand's 17 public holidays, so planners patched forecasts by hand across every store.

    • 40%

      fewer stockouts

    • 5%

      fewer days of stock on hand

    • 1.5 min

      to review a store's daily replenishment, down from 2 hours

    • 200K+

      SKUs in the forecast

    We make sure nothing changes in SAP until your team approves it

    • Human approval

      Planners, maintenance, and finance teams approve every change before it reaches SAP.

    • Source attribution

      Every alert links back to the SAP records behind it.

    • Explainability

      Every forecast or stock change shows what caused it.

    • Identity boundaries

      Agents see only the SAP data each role is allowed to see.

    • Circuit breakers

      Failed checks or missing data stop any update to SAP.

    • Logging & tracing

      Every check, recommendation, approval, and SAP update is logged in one place.

    More resources

    The Philippine AI Report: Executive Brief

    AI adoption is widespread. Scaling it is the harder task. Explore the leadership decisions, organizational barriers, and practical priorities that help Philippine businesses move beyond pilots.

    The Philippine AI Report

    A national benchmark of AI adoption across the Philippines. Explore the research, the policy and talent landscape, and comparisons with ASEAN peers—with a roadmap for moving from experimentation to scaled execution.

    Scaling AI Across the Filipino Retail Value Chain

    A closer look at AI across Philippine retail. Discover opportunities in demand forecasting, logistics, back-office operations, and customer experience—and the barriers retailers must address to put them into practice.

    Bring us the SAP report your team doesn't trust

    Plan a pilot with us