The kinds of problems we solve.

Illustrative scenarios based on the problems we're built to fix — not client case studies. Tell us about yours and we'll show you how we'd approach it.

DistributionBusiness Process ConsultingIllustrative scenario

Re-engineering order-to-cash before choosing an ERP

Typical challenge: Orders moved through email, spreadsheets and several approval steps. Nobody could say where an order was, and two ERP vendors were proposing very different scopes.
How we'd approach it: Map the as-is order-to-cash flow with sales, warehouse and finance, remove redundant approvals, design the to-be process, and run a fit-gap of both candidate ERPs against it.
What to expect: A simpler order-to-cash process everyone signed off, and a like-for-like view of which ERP fits it — before any licence is signed.

ManufacturingERP SolutionsIllustrative scenario

Consolidating separate systems into one ERP

Typical challenge: Finance, inventory, and production planning ran on separate tools, so month-end was slow and stock figures were never current.
How we'd approach it: Build a custom ERP, migrate and clean the data, and integrate it with the shop-floor systems the team wants to keep.
What to expect: A faster month-end close, and inventory figures reliable enough to plan production against.

Wholesale & TradingZATCA & E-InvoicingIllustrative scenario

ZATCA Phase 2 clearance inside an existing ERP

Typical challenge: The business faced ZATCA's Phase 2 integration deadline with an ERP that couldn't generate compliant e-invoices or connect to FATOORA.
How we'd approach it: Embed compliant invoice generation, QR codes, and cryptographic stamps, and integrate directly with the FATOORA platform.
What to expect: Standard invoices generated, stamped and cleared with ZATCA from inside the existing ERP, tested end to end before go-live.

LogisticsAI Agents & AutomationIllustrative scenario

Automating document intake with AI

Typical challenge: A team spent hours a day manually re-keying data from shipping documents, with frequent errors downstream.
How we'd approach it: Build an AI document-processing pipeline with human review for edge cases, feeding structured data straight into the ERP.
What to expect: Routine documents processed automatically, with people reviewing only the exceptions.

RetailDashboards & ReportingIllustrative scenario

One live dashboard across all stores

Typical challenge: Leadership relied on weekly spreadsheet exports that were stale on arrival and rarely matched between departments.
How we'd approach it: Build a governed data model with automated refresh and role-based dashboards for executives, operations, and finance.
What to expect: One governed view of sales and inventory across stores, refreshed automatically, with numbers that reconcile between departments.

Tell us what's slowing your operations down.

Tell us the problem you're wrestling with. We'll tell you honestly whether — and how — we can help.

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