How a $1.2B Specialty Chemicals Maker Closed Its Books in 3 Days Instead of 11 — Across SAP, Oracle and NetSuite
Case Study

How a $1.2B Specialty Chemicals Maker Closed Its Books in 3 Days Instead of 11 — Across SAP, Oracle and NetSuite

Their 38-person finance team was closing the books in 11 working days — three plants behind the Day-5 industry benchmark, 800+ overtime hours per cycle, and a fresh SOX 404 ITGC finding on close-cycle concentration risk. We built a multi-agent finance platform on LangGraph + Temporal + Anthropic Claude 3.5 Sonnet spanning all three of their ERPs — SAP S/4HANA, Oracle E-Business Suite and NetSuite — and unlocked month-end close collapsed from 11 days to 3, 85% auto-posting on monthly journals, and $850K in annualised savings with zero SOX findings inside 12 months. Faster close. Cleaner controls. Audit-ready every cycle.

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How a $1.2B Specialty Chemicals Maker Closed Its Books in 3 Days Instead of 11 — Across SAP, Oracle and NetSuite
How a $1.2B Specialty Chemicals Maker Closed Its Books in 3 Days Instead of 11 — Across SAP, Oracle and NetSuite
How a $1.2B Specialty Chemicals Maker Closed Its Books in 3 Days Instead of 11 — Across SAP, Oracle and NetSuite
How a $1.2B Specialty Chemicals Maker Closed Its Books in 3 Days Instead of 11 — Across SAP, Oracle and NetSuite
How a $1.2B Specialty Chemicals Maker Closed Its Books in 3 Days Instead of 11 — Across SAP, Oracle and NetSuite
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Quick Answers

Skim the case in 60 seconds — what was breaking, what we built, what changed in year one.

Overview

Meet the manufacturer. A $1.2B-revenue specialty chemicals company with 1,400 employees, 14 plants across 9 countries, and three different ERPs that had to consolidate every month into a clean set of books.

Challenges

Five forces were dragging the close cycle past Day-11 — heterogeneous ERPs, manual journal entry volume, overtime burnout, audit-trail gaps, and a fresh SOX 404 finding on close-cycle concentration risk.

How the AI Finance Automation Agent Platform Works

Five steps, end to end — from the moment a sub-ledger entry hits any of the three ERPs to the moment the consolidated journal posts and the audit pack is closed. Most of those steps, the agent crew now runs entirely on its own.

Solutions Delivered

Four architectural pillars carry the load. Each was chosen for a specific reason; together they're what cut the close from 11 days to 3 across three heterogeneous ERPs.

The close cycle is a long-running, multi-week workflow with dependencies, retries, approvals and audit checkpoints — far more than a single LLM call can manage. We built it on LangGraph for the agent topology and Temporal for the stateful workflow layer. Temporal keeps every close cycle durable end-to-end: if a SAP push fails at 11pm, the workflow resumes from the failure step the next morning with the agent’s last-known state intact. The result is a close that actually finishes — even when an ERP misbehaves mid-cycle.

Claude 3.5 Sonnet drives the judgement-heavy steps — the ones traditional automation tools have always failed at: vendor-name normalisation across DBA aliases and abbreviations, GL-account classification on free-text descriptions, accrual-period inference from supplier invoices, and FX-revaluation explanations a controller can actually defend. Every Claude decision writes an evidence-cited reasoning trace into the SOX audit log — so ‘why did the AI do that’ is never an unanswered question at year-end.

The platform speaks all three ERPs natively. SAP S/4HANA via OData and IDoc; Oracle E-Business Suite via REST and concurrent-program calls; NetSuite via SuiteScript and SuiteTalk. Inter-company eliminations span all three; consolidation runs in a single GAAP layer. We didn’t replace the ERPs — we built the connective tissue that finally made them act like one.

SOX 404 was the unstated requirement on every design decision. Every agent action, every Claude reasoning trace, every controller override is written to an immutable audit log. The close-cycle audit pack assembles itself as the close runs — supporting schedules, reconciliations, JE evidence, all auto-attached. The result: a year-one SOX audit with zero ITGC findings on the close cycle, and a controllership team that stopped dreading the auditor’s visit.

Success Metrics

Year-one results, measured the way a manufacturing CFO measures them — days-to-close, auto-post rate, overtime hours, audit findings. No vanity metrics.

11 → 3 days

Month-end close cycle collapsed from 11 working days to 3

85%

Auto-post rate on monthly journals — the AI closes them, the controllers approve

$850K

Annualised savings unlocked in the first 12 months of production

Zero

SOX 404, ITGC and internal-audit findings in year one

9,400+

Monthly journal entries now flowing through the agent crew

3 ERPs

SAP S/4HANA, Oracle E-Business Suite and NetSuite — one consolidation layer

The New Normal for Month-End Close

What started as a Day-11 close became a Day-3 close — and a SOX-clean year. Today, 85% of monthly journals post themselves into the right ERP — accurately, evidence-cited, audit-ready — while the controllership team focuses on the complex, judgement-heavy entries that genuinely need an accountant. Overtime hours are down. The close cost line is down $850K a year. The audit pack writes itself. And the agent crew gets smarter every cycle, learning from every controller override fed back into the LangGraph + Temporal + Claude stack. The bigger story: AI didn't replace the finance team — it gave them their evenings back. That's the difference between an automation tool and an AI finance agent.

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    Frequently Asked Questions (FAQ)

    The questions manufacturing CFOs, controllers and SOX program leads ask us most when scoping a close-automation build like this one.

    High-volume, well-defined entries — accruals, prepaid amortisation, fixed-asset depreciation, FX revaluation, intercompany eliminations, bank reconciliations, and any journal where the supporting evidence and posting rules are clear. Material, judgement-heavy or unusual entries always route to a human controller.

    The entry routes to a human controller inside their ERP’s approval workflow, with the proposed journal, the agent’s reasoning trace, every cited supporting document, and a confidence breakdown attached. The controller either approves, edits or rejects — and every override is captured for the next retraining cycle.

    Yes. Every agent action — every ERP call, every reasoning step, every controller override — writes an immutable audit entry. The close-cycle audit pack assembles itself as the close runs. SOC 2 Type II controls in place across the full pipeline. The manufacturer in this case ran their first year on the platform with zero SOX 404 ITGC findings.

    Twelve weeks to a single-plant production pilot. Twenty-two weeks for the full 14-plant rollout the manufacturer ran. Year-one outcomes — 11→3 day close, $850K savings, zero SOX findings — landed by month 12.

    Yes. Native integration with SAP S/4HANA and ECC (OData, IDoc, BAPI), Oracle E-Business Suite and Cloud ERP (REST, concurrent programs), NetSuite (SuiteScript, SuiteTalk), Workday Financial Management (REST/RaaS), and Sage Intacct (API). We’ve also integrated bespoke ERPs where the customer’s data model required it — the agent crew is ERP-portable by design.

    Every controller override is captured, labelled and fed into a weekly retraining job. Per-ERP, per-GL-account reconciliation accuracy and post-failure rates are tracked on dashboards, so confidence thresholds can be tuned where the agents are over- or under-posting. Most engagements see auto-post rate climb another 5–10 percentage points in the first six months after launch.