# AI for Exact Online, private and grounded in your own data

> Source: https://netray.co/erp-ai/exact-online-ai-integration
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: AI for ERP

## Short answer

Exact Online is true multi-tenant SaaS, so 'on-prem AI for Exact Online' really means a private model beside it, grounded on data pulled through Exact's REST API into a tenancy you control, not inside Exact's own cloud. Done that way, finance and operations teams get plain-language answers on cash position, AR aging, and multi-division consolidation without waiting on a Power BI report or hitting Exact's default reporting.

## Kind

platform

## Erp Family

other

## Erp Products

- Exact Online

## Industries

- Wholesale Distribution
- Light Manufacturing
- Professional Services

## Region

Global

## Persona

Finance Director

## Eyebrow

Exact Online + private AI

## Intro

Exact Online is popular with small and mid-size finance and operations teams precisely because it is simple, cloud-native accounting and ERP with a clean interface. That simplicity has a flip side: reporting beyond what Exact's built-in dashboards offer usually means exporting to Excel or building a Power BI report against the API, and finance teams without a dedicated analyst do that work themselves.

The questions finance directors actually ask, what's our cash position after these open invoices clear, which customers are drifting into 60-plus days past due, how does this month compare across our different country divisions, are all answerable from Exact Online's data, but not in plain language today. Every answer requires opening the right screen or building the right report first.

Manufacturing and wholesale customers on Exact Online Premium add another layer: stock, BOM, and order data that finance rarely touches directly, so questions that span both financials and operations, like the margin impact of a component price change, require pulling data from two places and reconciling it by hand.

Because Exact Online has no on-prem deployment option, adding private AI here means something specific: pulling data through Exact's REST API into infrastructure you control, and running the model there. That is a real and useful architecture, it just needs to be understood clearly for what it is, data leaving Exact's tenant into your own, under your own governance, not AI running inside Exact's cloud.

## Pain Points

### Reporting beyond Exact's dashboards means a manual export

**Detail:** Anything outside Exact Online's built-in reports usually becomes an Excel export or a Power BI build, repeated whenever the question changes.

### Cash flow and AR aging questions require opening the right screen

**Detail:** Finance directors ask plain questions about cash position and aging receivables that Exact Online can answer, but only through its standard reporting path, not a quick query.

### Multi-division, multi-country administrations don't roll up on their own

**Detail:** Each Exact Online 'division' is effectively a separate environment, so combining numbers across countries or entities is a manual consolidation exercise.

### Manufacturing/stock questions and financial questions live apart

**Detail:** Exact Online Premium customers with stock and BOM data still have to reconcile operational and financial data by hand to answer margin or cost-impact questions.

### API rate limits and OAuth token cycles trip up naive integrations

**Detail:** Exact Online's REST API enforces per-minute rate limits and OAuth2 token refresh, which catches out integrations that weren't designed with those constraints in mind from the start.

## Use Cases

### Natural-language finance queries

**Description:** Finance staff ask directly for cash position, open invoice totals, or budget-vs-actual by cost center, without opening a Financials report.

**Erp Objects:** GL, AP, AR transaction and balance data via the Exact Online Financials API

**Outcome:** Answers in seconds instead of building or re-running a Power BI report

### Cash flow and AR aging copilot

**Description:** Summarizes projected cash position from open AR and AP, and flags customers drifting into higher aging buckets.

**Erp Objects:** Accounts receivable aging, accounts payable due dates, bank/cash balances

**Outcome:** Earlier visibility into collection risk and short-term cash pressure

### Manufacturing stock and BOM assistant

**Description:** For Exact Online Premium manufacturing/wholesale customers, answers stock level, BOM, and reorder questions and ties them to margin impact.

**Erp Objects:** Item and stock records, bill of materials, sales order and purchase pricing

**Outcome:** Finance and operations get a shared answer instead of reconciling two exports by hand

### Multi-division consolidation agent

**Description:** Queries across separate Exact Online divisions (countries or entities) and consolidates the answer into one response.

**Erp Objects:** Financial data across multiple Exact Online division/API scopes

**Outcome:** Same-day multi-entity answers instead of a manual monthly consolidation

### Invoice and document AI feeding AP

**Description:** Extracts data from incoming vendor invoices and matches it against POs and receipts before posting into Exact Online.

**Erp Objects:** AP invoice documents, purchase order and goods-receipt data

**Outcome:** Fewer manual keying errors and faster invoice approval cycles

### Budget vs. actual variance narrative

**Description:** Generates a plain-language explanation of budget-to-actual variance by department or cost center for management reporting.

**Erp Objects:** Budget records, GL actuals by cost center

**Outcome:** Management gets a written narrative alongside the numbers without finance drafting it manually every month

### CRM-to-financials handoff assistant

**Description:** Answers questions that span the quote-to-order-to-invoice cycle, flagging where a deal in CRM hasn't converted to an invoice on schedule.

**Erp Objects:** Exact Online CRM opportunity and quote data, sales order and invoice records

**Outcome:** Sales and finance catch stalled deals or billing gaps earlier

## Architecture

**Overview:** Because Exact Online has no on-prem option, data is pulled through its REST API into infrastructure the customer controls; the model, retrieval layer, and governance all run there, beside Exact Online rather than inside it.

**Layers:**

#### ERP connectors

**Detail:** OAuth2-authenticated access to the Exact Online REST API, scoped per division, with sync scheduling designed around API rate limits.

#### Data and semantic layer

**Detail:** Maps Exact Online's Financials, CRM, and (where applicable) manufacturing data into plain business vocabulary.

#### Model serving

**Detail:** An open-weight model served in a private, single-tenant environment the customer controls, separate from Exact's own cloud.

#### Retrieval and agents

**Detail:** Text-to-SQL/API-query over synced financial and operational data, plus agent tools for drafting narratives and invoice matching.

#### Governance and audit

**Detail:** Access mapped to Exact Online roles where possible, with full logging of what data was pulled and what the model was asked.

## Deployment Options

### Private / sovereign cloud (EU region)

**Fit:** Companies wanting data residency alignment with Exact Online's own EU hosting, without owning hardware

**Detail:** Data synced via API into an EU-region private tenancy; the model runs there under the customer's own governance.

### On-prem inference with cloud-synced data

**Fit:** Companies that want the model itself physically inside their own network even though the source ERP is SaaS

**Detail:** A scheduled sync pulls Exact Online data into a local cache; the model runs entirely on customer hardware from that cache.

### Hybrid

**Fit:** Multi-country groups needing both local-language handling and a central consolidated view

**Detail:** Regional private inference for local questions, with a central private tier for cross-division consolidation.

## Compliance

### Pulling data via API into a customer-controlled private tenancy, with a clear data processing agreement, keeps the AI layer inside the same GDPR obligations Exact Online's own EU hosting already respects.

**Framework:** GDPR

### Deploying the model privately with logged queries and human review of generated content supports the documentation and transparency expectations that apply to AI systems used in business decision-making.

**Framework:** EU AI Act

### Because many Exact Online customers work through an external accounting firm, access controls and audit logs are designed to respect that existing relationship rather than bypass it.

**Framework:** Accountant/auditor data handling

### EU-region private hosting keeps synced financial data within the same broad jurisdiction as Exact's own hosting for customers with residency requirements.

**Framework:** Data residency for multi-country groups

## Integration Notes

Exact Online's REST API uses OAuth2 with token refresh and per-minute rate limits; sync jobs need to be designed around those limits from the start, not bolted on after hitting them.

Each Exact Online 'division' (typically a country or legal entity) is a separate API scope, so multi-entity consolidation requires an explicit federation layer, not a single query.

Exact Online supports webhook-style change notifications for some entities, which can reduce polling load compared to a naive full-sync approach.

Write-back, such as posting a journal entry or updating a CRM record, should go through the same API validation Exact's own UI relies on, with human approval before anything posts.

Exact continues to expand its own built-in reporting and automation features, so scope custom AI use cases to genuinely under-served questions rather than duplicating what Exact Online already surfaces.

Because Exact Online has no on-prem deployment, be explicit in any GDPR or DPA conversation that private AI means synced data leaving Exact's tenant into the customer's own environment.

## Product Fit

### ERPray

**Why:** Exact Online is not a listed connector today; natural-language question-answering over synced financial data is built on ERPray's ERP-agnostic connector architecture.

### DataRay

**Why:** A good fit where Exact Online data needs to be combined with other systems, such as a separate WMS, CRM add-on, or document store, in one queryable layer.

### Custom build

**Why:** Multi-division consolidation and invoice-matching agents are typically specific enough to a customer's Exact Online setup to warrant purpose-built connectors.

## Engagement

### Discovery

**Duration:** 2 weeks

**Deliverables:**

- Exact Online API scope and division review
- data residency requirements confirmed
- prioritized use-case list
- hosting decision

### Pilot

**Duration:** 6 weeks

**Deliverables:**

- private model and sync pipeline stood up
- connector to one Exact Online division
- 2-3 use cases live (finance query, AR aging)
- finance team feedback loop

### Production

**Duration:** 3-4 weeks

**Deliverables:**

- governance and audit logging hardened
- budget variance and invoice-matching use cases rolled out
- role mapping to Exact Online permissions
- DPA/GDPR documentation finalized

### Scale

**Duration:** ongoing

**Deliverables:**

- additional divisions/countries connected
- multi-division consolidation agent
- manufacturing stock/BOM use case if on Premium
- quarterly use-case review

## Buyer Questions

- Since Exact Online has no on-prem option, exactly where does our synced data live once it leaves Exact's tenant?
- Does the AI ever write back into Exact Online, or is it strictly read-only?
- How is the API sync designed around Exact Online's rate limits and OAuth token refresh?
- How do you handle multiple Exact Online divisions if we operate in more than one country?
- What does the data processing agreement say about this synced data specifically?
- Who audits what was pulled from Exact Online and what the model was asked?
- How does this differ from Exact Online's own built-in reporting and automation features?

## Faq

### Can Exact Online run AI fully on-premises?

**Answer:** Not literally inside Exact Online itself, since it is multi-tenant SaaS with no on-prem deployment option. A private AI layer works by pulling data through Exact's REST API into infrastructure the customer controls, where the model then runs privately.

### What is the fastest AI win for an Exact Online finance team?

**Answer:** Natural-language queries over cash position and AR aging are usually fastest to stand up, since that data is already well structured in Exact Online's Financials API. Most teams see a working pilot within about six weeks.

### Does Exact Online already have built-in AI features?

**Answer:** Exact has been adding automation and insight features to Exact Online over time. Whether they cover a given question depends on the release and module; a private AI layer is typically scoped to fill gaps rather than duplicate what Exact Online already surfaces.

### Is pulling data out of Exact Online for AI GDPR-compliant?

**Answer:** It can be, when governed by a clear data processing agreement, EU-region hosting for the private AI tenancy, and logged, access-controlled use of the synced data. This is a standard pattern for private AI beside any EU-hosted SaaS ERP.

### Can this handle multiple countries or divisions in Exact Online?

**Answer:** Yes, but it requires an explicit consolidation layer, since each Exact Online division is a separate API scope. The AI queries each division and combines the results, rather than treating multi-entity data as a single source automatically.

### Does this work for Exact Online Premium manufacturing customers?

**Answer:** Yes. Stock, BOM, and order data available through Exact Online Premium's manufacturing features can be indexed alongside financial data, which is particularly useful for questions that span operations and margin together.

### What does it cost to add private AI beside Exact Online?

**Answer:** For a single-division pilot covering two or three use cases, expect a cost in line with a focused mid-size integration project. Multi-division consolidation and manufacturing use cases add scope and cost from there.

## Search terms

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