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Automate 90% of reconciliation work. Make the remaining 10% explainable in one click.
Finance teams running multiple ERPs know the ritual: pull trial balances, drop into Excel, VLOOKUP, chase variances, repeat. It consumes senior controller time that should be spent on analysis. And in a close window, every hour matters.
DuluthPath automates the entire match-and-explain cycle. Source data streams in from every ERP, the platform applies configurable match rules, and exceptions land in a workflow inbox with proposed root causes ranked by likelihood.
AR/AP intercompany balances across entities, eliminated automatically during consolidation.
General ledger to AR, AP, inventory and fixed-asset subledgers with variance root-cause.
Bank statement to cash ledger with automated clearing and exception routing.
Acquired-entity Oracle to parent SAP, reconciled daily instead of monthly.
Every cleared item carries a full lineage: source records, match rule applied, timestamp, approver. The platform packages a period-close audit file that satisfies SOX, J-SOX and IFRS requirements — no more "we think it was Sarah in Q2 who cleared this" conversations.
Enterprise problems of this shape rarely come from bad software. They come from a decade of local decisions that each made sense at the time but aggregated into a pattern nobody designed. That is why "buy another tool" rarely fixes anything. The tools exist. What is missing is a governed model that ties them together, an operational cadence that makes governance stick, and executive sponsorship that survives past the first quarterly review.
DuluthPath is deliberately opinionated about all three. We ship a canonical data model out of the box so you inherit 80% of the thinking already validated at other enterprises. We deliver an operational runbook with our implementation — exactly who owns what and when. And we make visible outcomes the centre of the engagement — the CFO and COO see their own metrics moving within 90 days, so the executive air cover does not evaporate.
Most customers pick one headline metric to optimise in the first quarter. For finance-led engagements this is usually reconciliation FTE hours (we target a 40% reduction) or days-to-close (we target a 2–3 day reduction). For supply-chain-led engagements it is stock-out incidents (we target zero within 60 days for class-A SKUs) or expedite spend (we target a 20% reduction). For commercial engagements it is quote-to-invoice cycle time (we target a 15% reduction).
Those numbers are not marketing — they are averages across our deployed base. They are also measurable within a single quarter, which is what separates this approach from the "big data transformation" projects that take two years to show any signal.
Enterprise customers do not evaluate platforms on feature lists alone — they evaluate them on the compliance posture that will be audited by internal risk teams and external regulators. DuluthPath is built to pass those reviews. The platform is SOC 2 Type II and ISO 27001 attested, with GDPR, HIPAA, and PCI-DSS aligned controls available on request. Data residency is configurable at the tenant level — US, EU (Frankfurt and Dublin), UK, Canada, APAC (Sydney, Singapore, Tokyo) — so data never leaves the jurisdiction required by your regulator or your customer contracts.
All customer data is encrypted at rest with AES-256 and in transit with TLS 1.3. Encryption keys can be managed by DuluthPath or customer-managed via bring-your-own-key backed by AWS KMS, Azure Key Vault, or Google Cloud KMS. Identity federation supports Okta, Azure AD, Google Workspace, Ping, and any SAML 2.0 or OIDC provider. Role-based access control is fine-grained down to the field level, with just-in-time elevation for break-glass scenarios and full immutable audit logs streamed to the customer's SIEM of choice (Splunk, Elastic, Datadog, Sumo Logic, Microsoft Sentinel).
We do not view compliance as a sales objection to deflect. We view it as the first thing an enterprise buyer deserves to understand, because it is the thing that determines whether the platform can actually run in production. If your organisation has specific additional frameworks — 21 CFR Part 11, EU AI Act, GxP, FedRAMP Moderate, TISAX — ask us; most of them are already mapped or on the active roadmap.
Every enterprise software purchase is ultimately a financial decision, and the defensible ROI story sits on three pillars: cost reduction, revenue enablement, and risk avoidance. DuluthPath customers typically report cost reductions in three places. First, retirement of 30–50% of existing integration middleware licence spend over two years, as hand-built pipelines are consolidated onto the governed platform. Second, reduction in reconciliation and data-quality FTE hours by 30–45% within the first two quarters as master data and lineage eliminate manual matching work. Third, reduction in external consulting spend, since the governed model and pre-built accelerators remove the "custom integration per acquisition" tax most enterprises pay.
On the revenue side, the most common outcomes are DSO reduction of 5–12 days, recovery of 1.5–3% of revenue previously lost to discount leakage and unresolved deductions, and 10–20% improvement in forecast accuracy (which translates directly into lower safety stock and higher service level). Risk avoidance shows up as faster close cycles (reduces audit findings), better lineage (reduces SOX exposure), and stronger data residency (reduces regulatory risk). Customers can expect a three-year ROI in the 3.5x–7x range on the subscription investment, with a payback period typically inside nine months. We publish an ROI calculator you can configure with your own numbers to sanity-check these claims against your situation.
The TCO conversation is equally important. The sticker price of an enterprise integration platform is usually the smallest part of its real cost. Implementation services, internal team time, infrastructure, ongoing maintenance, and the opportunity cost of delayed business outcomes typically add up to five to ten times the platform licence. DuluthPath's deployment model is designed to shrink those hidden costs — opinionated canonical models, pre-built industry packs, and a small focused implementation team instead of a brigade of forward-deployed engineers. The net effect is a lower three-year TCO than comparable incumbents, even when our list price is similar.
Yes — DuluthPath feeds BlackLine, FloQast, or Oracle ARCS if you already use one. Or it can replace them for many customers.
Typical first reconciliation live in 3–5 weeks.