Enterprise Solutions.
Integrated enterprise solutions built on SAP S/4HANA and SAP BTP — across ERP, financial management, supply chain, emerging technology, and analytics. We package our delivery around the outcomes you’re trying to achieve, not just the modules we implement.
The modern SAP core your business runs on.
ERP is the single system that connects your finance, operations, procurement, logistics, and HR — and SAP S/4HANA is the modern, AI-embedded version of that core. It is built on the SAP HANA in-memory database, and its defining architectural change is the Universal Journal (table ACDOCA): a single line-item table that merges what used to be separate FI and CO ledgers into one source of financial truth. That one design decision collapses dozens of legacy reconciliation runs between financial accounting and controlling — the postings agree because they are now, structurally, the same record. Everything else in a well-run S/4HANA implementation, from Fit-to-Standard workshops to clean-core extension discipline, exists to protect the integrity of that core.
What we deliver
- Full-lifecycle S/4HANA across Finance & Controlling (GL, AP/AR, Asset Accounting, Controlling, Cost Center Management), Logistics & Operations (SD, MM, production), Procurement, and Human Capital.
- The Universal Journal (ACDOCA) as single source of financial truth — real-time P&L, balance sheet, and cost object reporting drawn from one table, without the period-end reconciliation that ECC-era FI/CO architectures required.
- SAP Activate methodology — Fit-to-Standard workshops where the standard SAP process is the starting point and any customization has to be justified against a documented gap, not assumed because “that’s how we’ve always done it.”
- Migration path selection — we help you choose deliberately between the three routes SAP supports: Greenfield (fresh implementation, an opportunity to re-engineer processes around SAP standard), Brownfield (in-place technical conversion, the fastest route, preserves existing data and configuration), and Selective Data Transition (a hybrid — new system landscape with selective historical data carried over, used when parts of the estate need to change and parts don’t).
- Clean-core discipline — development on the ABAP Cloud model, extensions built on BTP (CAP/RAP-based side-by-side apps) rather than in-stack modifications to the SAP core. This is not a stylistic preference: it is what determines whether your next SAP upgrade is a weekend event or a six-month remediation project, and whether a new Joule agent can be dropped onto your landscape or has to be re-engineered around your customizations first.
- Data migration and cutover planning — treated as a first-class workstream with its own reconciliation and sign-off gates, not an afterthought scheduled in the final weeks.
- Go-live support — a structured hypercare period, deliberate knowledge transfer to your internal team, and a defined transition plan into ongoing application management services.
- SAP Cloud ALM as the delivery and operations platform throughout — requirements-to-deploy traceability during the project, and monitoring/operations after go-live, on the same tool.
The outcome
A single Universal Journal that eliminates FI/CO reconciliation. An upgrade-ready core where every new SAP release and every Joule AI agent drops in without remediation effort. A business that can close books faster and answer cost questions immediately.
Finance processes that close faster — and increasingly close themselves.
SAP S/4HANA Finance runs entirely on the Universal Journal, and the practical effect shows up first in the close: a period-end close that used to take 10 days on ECC runs in 2–3 days on a well-optimized S/4HANA Finance estate, because the reconciliation steps between ledgers simply aren’t needed anymore. The next-largest opportunity is accounts payable. In complex, multi-entity organizations, 30–40% of AP invoices typically fail straight-through processing and require manual exception handling — mismatched quantities, price variances, missing goods receipts. That exception volume is precisely the kind of well-bounded, high-frequency, rules-plus-judgment work an AI agent can absorb, and the cost of building that agent is typically recovered within months, not years.
What we deliver
- Core Finance — FICO: GL, AP, AR, Asset Accounting, Controlling, and Cost/Profit Center Management.
- GL and document splitting — New GL / document splitting configured for segment reporting and profit center accounting, so real-time financial statements by segment are available without allocation cycles.
- AP automation — 3-way match (purchase order, goods receipt, invoice), automatic exception classification, and vendor statement reconciliation. This is the process where IOTEK’s Agentic Finance & Compliance Accelerator first deploys, because the ROI is measurable within a single close cycle.
- AR management — credit management, dispute management, and SAP Collections Management, reducing DSO through systematic, rules-driven follow-up workflows instead of ad hoc collector judgment.
- Asset Accounting — parallel valuation for statutory and IFRS books, right-of-use asset accounting under IFRS 16, and depreciation simulation for capital planning.
- Intercompany reconciliation — automated matching and elimination across entities for multi-entity and multi-country groups.
- Group Reporting & Consolidation — legal/management consolidations in S/4HANA Finance for Group Reporting; multi-GAAP support.
- Treasury & Risk Management — cash management, liquidity planning, hedging, and bank connectivity.
- ZATCA Phase-2 e-invoicing (GCC) — Saudi Arabia’s mandatory clearance-model e-invoicing regime requires each invoice to be submitted to ZATCA’s Fatoora platform and cleared before it can be delivered to the customer, in a cryptographically signed XML/UBL format. IOTEK configures the SAP e-invoicing solution inside S/4HANA Finance and manages the integration middleware that connects it to Fatoora, so clearance happens inline with normal SAP posting rather than as a separate compliance step.
- SOX compliance (North America) — SAP GRC Access Control for segregation-of-duties enforcement, and SAP Financial Closing Cockpit for period-close governance, task ownership, and the sign-off trail auditors ask for.
- FP&A on SAP Analytics Cloud — driver-based planning models with write-back to S/4HANA, rolling forecasts, and variance analysis run directly against live actuals rather than a monthly data extract.
Outcome
A finance function that closes in 2–3 days instead of 10. AP exceptions handled by an AI agent, not a clerk. ZATCA clearance running automatically in SAP Finance. A CFO dashboard with live S/4HANA actuals in SAC — not a spreadsheet that’s already 2 weeks old.
SAP-connected supply chain — from procurement to the last mile.
The supply chain disruptions of 2020–2024 permanently changed how procurement and logistics risk gets managed — organizations discovered that visibility measured in weeks is not visibility at all. Organizations still running SAP ECC with disconnected planning spreadsheets bolted on the side cannot respond at the speed disruption now requires. SAP S/4HANA, combined with SAP Integrated Business Planning and the Ariba supplier network, gives procurement and logistics teams a live view across demand, supply, and supplier performance that ECC-era architectures were never built to provide.
What we deliver
- Procurement (MM) — purchase orders, vendor master, goods receipt, invoice verification, and procure-to-pay automation.
- Procure-to-pay (P2P) automation — purchase requisition to purchase order automation with ML-assisted vendor selection through SAP Ariba integration, agent-driven GR/IR reconciliation, and invoice matching accelerated by Joule.
- SAP IBP (Integrated Business Planning) — demand sensing that blends statistical and machine-learning forecasting, supply planning, inventory optimization, and a genuine Sales & Operations Planning (S&OP) consensus process that replaces the spreadsheet-driven S&OP cycle most organizations still run.
- Extended Warehouse Management (EWM) — slotting optimization, warehouse task execution, labor management, and integration with SAP Transportation Management for combined warehouse-to-transport coordination.
- SAP Transportation Management (TM) — freight order management, carrier selection, track-and-trace, and freight settlement.
- Supplier collaboration — SAP Business Network (Ariba) for supplier onboarding, catalog procurement, and PO collaboration; supplier self-service invoicing reduces the AP exception volume before it ever reaches your finance team.
- Serialization and track-and-trace — for pharmaceutical, consumer goods, and regulated manufacturing environments where unit-level traceability is a compliance requirement, not a convenience.
- Order-to-cash (SD) — sales order management, billing, and customer credit/dispute management.
- GCC-specific trade compliance — Saudi Customs and VAT integration; ZATCA e-invoicing extended into procurement, since vendor invoices increasingly require ZATCA-compliant format on the inbound side as well as the outbound side; and cross-GCC trade visibility for multi-country distribution networks — the same category of estate IOTEK supports today for AlMalki Group, a Jeddah-headquartered luxury brand distribution group operating across the GCC.
Outcome
Procurement exceptions handled automatically, not in an inbox. Demand plans generated weekly from live sales signals, not monthly from spreadsheets. Real-time inventory visibility across all locations. A supply chain that responds to disruption in hours, not planning cycles.
Agentic AI on your SAP estate — built to deliver, not to demo.
SAP Business AI is not a feature added to SAP — it is embedded in the same platform, SAP Business Technology Platform (BTP), as the data it acts on. Joule, SAP’s AI copilot, is already embedded across S/4HANA — in Finance, Procurement, HR, and Supply Chain — answering questions and initiating workflow in natural language. Joule Studio, announced at SAP Sapphire in May 2026, extends this further: it gives organizations the platform to build their own custom AI agents on BTP, grounded in live SAP data rather than a generic model’s training set. That distinction — acting on your actual SAP records versus generating plausible-sounding text about them — is the entire difference between an agent that is safe to put in front of a general ledger and one that isn’t.
What we deliver
- Joule (embedded AI copilot) — deployed inside S/4HANA, SAP SuccessFactors, and SAP Ariba: natural language queries over business data, workflow initiation, and exception summarization inside the applications your teams already use.
- Joule Studio — the full-lifecycle platform for building custom AI agents on BTP: agent design, tool configuration, grounding in SAP data sources, testing, deployment, and monitoring. IOTEK’s agentic delivery practice is built on this platform.
- SAP AI Core — the runtime for custom AI models and agents on BTP, handling model deployment, inference endpoints, and lifecycle management.
- Generative AI Hub on BTP — access to foundation models (GPT-4o, Claude, Gemini, Llama, Mistral) through a single BTP interface, with every call grounded in your SAP business context rather than operating as a disconnected chat window.
- Practical agents we build — an AP exception-handling agent that reads FI documents, classifies exceptions, and routes them to the right approver; a ZATCA exception-monitoring agent that flags clearance failures before they become compliance breaches; a period-close acceleration agent that automates recurring journal entries and runs a preliminary balance check; and a procurement exception agent for PO deviation detection and GR discrepancy classification.
- What “grounded in SAP data” actually means — our agents don’t guess at your SAP configuration. They read your actual business objects — FI documents, purchase orders, cost centers — through SAP’s own APIs, not from a language model’s training data.
- AI governance built in from day one — every agent action is logged, and every exception requires human approval before it results in a financial posting. That audit trail is what satisfies an external auditor asking how a number got onto the balance sheet.
- The agentic roadmap — one agent, proven on live transactions with a measurable ROI, followed by a second agent, then managed evolution of the agent portfolio under application management services. We do not sell a five-agent transformation program on day one.
Why we’re careful about “agentic AI”
Gartner warns of “agent washing” — over-labeling standard automation as agentic AI. Deloitte finds 25% of enterprise “agents” are actually RPA relabeled.
SAP data you can trust — and decisions you can act on.
The challenge in most SAP estates is not a lack of data — it is a lack of governed, semantically rich data that analytics tools and AI agents can actually trust. SAP Datasphere’s “business data fabric” concept addresses this directly: it preserves SAP’s business context — cost center hierarchies, material master classifications, customer segmentation — as data moves from the transactional system to the analytical layer, so a dashboard showing “revenue by product group” means exactly the same thing in the BI tool as it does inside S/4HANA. Without that discipline, every report becomes a separate negotiation about what the numbers actually mean.
What we deliver
- Data quality assessment — before we build a single dashboard, we assess data completeness, consistency, and accuracy at the SAP source. Incomplete vendor master data, inconsistent cost center assignments, and unposted GR/IR items all cascade into unreliable analytics if they’re not caught first.
- SAP Analytics Cloud (SAC) in depth — Live Data Connection to S/4HANA for real-time reporting with no ETL step, Import Connection for replicated data where complex transformation is needed, SAC Stories for operational dashboards, SAC Planning with integrated write-back to S/4HANA, Smart Predict for automated forecasting, and Augmented Analytics for natural-language queries through Joule inside SAC.
- SAP Datasphere — virtual federation of SAP and non-SAP data, semantic persistence so business context travels with the data rather than being stripped out in transit, a data marketplace for curated data products, and integration with SAC as the consumption layer.
- Data migration analytics — during an S/4HANA migration, we build reconciliation dashboards that compare source (ECC) and target (S/4HANA) record counts, financial balances, and open-item matching. The analytics layer serves the migration itself, not just the post-go-live state.
- AI-ready data — Joule agents require clean, structured, semantically governed SAP data to function correctly. The same data foundation we build for reporting is the foundation your SAP AI agents run on — this is not two separate workstreams.
- Power BI and Tableau — connecting SAP data and building the semantic and report layer for organizations with an existing non-SAP BI stack.
- Typical executive reporting output — a CFO pack (P&L waterfall, cash flow bridge, DSO/DPO trend), a COO pack (inventory turns, on-time delivery, fill rate, procurement cycle time), and, for GCC clients, a compliance pack (ZATCA clearance rate, VAT reconciliation, financial position by entity).
Outcome
Data that SAP agents can trust. Dashboards that finance teams actually use because the numbers match the GL. A semantic layer that preserves SAP business context — so “gross margin by product group” means the same thing in every tool your CFO opens.
Start with one process. See it work.
Thirty minutes, one process in your SAP estate, an honest read on whether an agent earns its keep and what it would take to build it.