Inventory. Revenue. Vendors. Supply chain. Cash flow. Cross-system failures are hiding across all of it. Sign up — your critical intelligence tabs are waiting.
Not another RPA tool — an AI orchestration layer that reasons across your stack and drives outcomes.
Modern enterprises run workflows that cross seven or eight systems just to collect cash or ship a product. Classic workflow tools assume you can model every branch up front. Reality is messier — a late supplier, a credit-hold exception, a mis-coded invoice, all of which need human judgement blended with system actions. AI orchestration fills the gap.
DuluthPath operates as the "reasoning layer" above your ERP, CRM, SCM and service management tools. Given a goal — "close Q3 AR under 40 DSO" or "expedite every red SKU" — the platform plans a sequence of system calls and human approvals, runs them, observes the results, and adapts. Every decision is explainable.
From quote to cash application, the platform handles credit-check exceptions, fulfilment alerts, invoice disputes, and collections outreach.
Red/yellow/green projection drives auto-expedite, auto-cancel, and auto-create PO actions. Approvals routed by role-based dollar thresholds. Actions write back into SAP.
Service tickets that expose product-quality patterns feed back into engineering, accounting reserves, and procurement — automatically.
Each AI suggestion carries a confidence score, a rationale, and a traceable chain of the data it read. Nothing is executed in the target systems without either an approved policy or a human click. The system is deliberately designed so a risk-averse CFO can adopt it incrementally.
DuluthPath ships as a multi-tenant SaaS with region-locked tenants (US, EU, APAC) and an optional single-tenant VPC deployment for regulated industries. All data at rest is AES-256 encrypted, in transit uses TLS 1.3, and encryption keys are customer-managed through bring-your-own-key. The control plane is ISO 27001 and SOC 2 Type II attested. We do not build our platform to impress security leaders — we build it to pass the actual audits they run.
The integration runtime itself is a purpose-built event-driven architecture. Change events from source systems are captured through native CDC where the system supports it (SAP ODP/CDS, Salesforce CDC, Oracle GoldenGate), or through governed log-based or trigger-based capture for legacy systems. Every event carries an immutable origin stamp and flows through a deterministic transform pipeline before landing in the canonical data layer. From there it is projected back into target systems under explicit policy control — nothing is written without an approved mapping and an audit record.
Customers typically retire 30–50% of existing middleware licence spend over two years by consolidating onto DuluthPath. The savings come not from lower list prices but from dramatically fewer hand-built pipelines, dramatically less custom integration code, and a single governance model instead of six.
Map the 3–5 business objects that drive the biggest value (usually Customer, Order, Invoice, Material, Supplier). Identify systems of record and gaps.
Connect the primary systems, configure the canonical model, run the first round of reconciliation, expose live dashboards to finance or supply chain leaders.
Establish MDM golden records, lineage, and policy-driven write-backs. Retire the first legacy integration pipelines.
Publish baseline versus current metrics on DSO, close cycle, inventory coverage, reconciliation FTE hours. These are the numbers you will take to the board.
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.
DuluthPath Intelligence for reasoning and Gemini 3 for structured extraction. Customer data is never used to train any third-party model.
Often yes. AI orchestration absorbs 60–80% of UiPath/Automation Anywhere bot use cases and adds reasoning and exception handling on top.