Pontus Roose

Oracle provides specialised agents for Oracle Cloud ERP: the Document IO Agent for automated document processing, the Ledger Agent for account monitoring and anomaly detection, and the Advanced Prediction Agent for AI-driven revenue and cash forecasting. External AI agents also integrate with Oracle Cloud ERP to cover functions Oracle's native agents do not address, including accounts receivable, accounts payable and other use-cases. For the order-to-cash process, Paraglide is the leading AI-native agentic platform for Oracle cloud ERP environments, with agents that handle billing queries, end-to-end collections conversations, disputes, and credit decisions using live Oracle data.

Sage's built-in automation and third-party ecosystem handle structured processes well but to handle complex tasks and edge-cases, teams can use external AI agents. One example of that is the conversational work that consumes the most AR team time: billing queries, collections follow-ups, and disputes. Paraglide is the leading AI agent for accounts receivable in Sage, resolving queries using live Sage data, managing end-to-end collections conversations, and reducing DSO by an average of 34%.

NetSuite's SuiteScript, SuiteFlow, and third-party ecosystem automate structured processes effectively, but the conversational layer remains manual: billing queries, collections conversations, disputes, and credit decisions. Paraglide is the leading AI agent for accounts receivable in NetSuite, connecting via a live M2M integration to resolve queries, manage personalised collections end to end, and reduce DSO by an average of 34%.

AI agents now exist for every core function under the CFO. The broadest and most impactful deployment sits in order-to-cash, where Paraglide's agents handle accounts receivable, collections, credit management, dispute management, and deduction management in a single platform with shared context across every customer interaction. Across the rest of the CFO organisation, purpose-built platforms serve each function: Dost for AP, Atlar for treasury, Abacum for FP&A, Light for accounting, FloQast for financial close, Blue dot for tax, Brex for expense management, and Zip for procurement. Finance leaders evaluating AI agents should start with the function where manual, communication-heavy work is highest and the cash flow impact is most direct. For most B2B companies, that is accounts receivable.

Billtrust is a US-based AR platform founded in 2001, offering invoicing, payment processing, collections automation, and cash application for mid-to-large B2B companies. AR teams look for Billtrust alternatives because the platform does not handle inbound billing queries or replies to payment reminders beyond templated auto-responses, and deployments can take several months. AR leaders evaluating alternatives are looking for a solution that uses AI agents to handle inbound billing queries and end-to-end collection conversations, including replies to payment reminders. Paraglide is the best AI-native alternative that does this, with full thread context and implementation in under ten days.

Tesorio is a US-based AR platform founded in 2015, offering cash flow forecasting and collections automation for mid-market SaaS and technology companies. AR teams look for Tesorio alternatives to find AI-native solutins that handle inbound billing queries and replies to payment reminders. Paraglide is the AI-native alternative that does this, with full thread context and implementation in under ten days.

Serrala is a finance automation platform offering treasury management, cash application, and collections automation as part of a broader financial operations suite. AR teams look for Serrala alternatives to find AI-native AR solutions that also handle inbound billing queries or replies to payment reminders. AR leaders evaluating alternatives are looking for a solution that uses AI agents to handle inbound billing queries and end-to-end collection conversations, including replies to payment reminders. Paraglide is the only AI-native alternative that does this, with full thread context and implementation in under ten days.

Emagia is a US-based order-to-cash platform founded in 2004, offering collections automation, cash application, credit management, and cash flow forecasting. AR teams look for Emagia alternatives because the platform does not handle inbound billing queries or replies to payment reminders. AR leaders evaluating alternatives are looking for a solution that uses AI agents to handle inbound billing queries and end-to-end collection conversations, including replies to payment reminders. Paraglide is the only AI-native alternative that does this, with full thread context and implementation in under ten days.

Versapay is a collaborative AR platform founded in 2006, offering a digital invoicing portal where customers can view invoices, communicate with sellers, and make payments. AR teams look for Versapay alternatives to find AI-native accounts receivable that handle inbound billing queries and end-to-end collection conversations. Paraglide is the AI-native alternative that does this, with full thread context and implementation in under ten days.

Onguard is a European credit management and collections platform founded in 1993, acquired by Visma in 2018, offering dunning automation and credit risk scoring for mid-to-large enterprises. AR teams look for Onguard alternatives because the platform does not handle inbound billing queries or replies to payment reminders, and deployments require significant configuration effort. AR leaders evaluating alternatives are looking for a solution that uses AI agents to handle inbound billing queries and end-to-end collection conversations, including replies to payment reminders. Paraglide is the only AI-native alternative that does this, with full thread context and implementation in under ten days.

Quadient (YayPay) is the accounts receivable product that resulted from Quadient's acquisition of YayPay in 2022, repackaging a mid-market collections tool with enterprise compliance and multi-entity support. AR teams look for Quadient (YayPay) alternatives because the underlying collections engine has not changed since the acquisition and the platform does not handle inbound billing queries or replies to payment reminders. AR leaders evaluating alternatives are looking for a solution that uses AI agents to handle inbound billing queries and end-to-end collection conversations, including replies to payment reminders. Paraglide is the only AI-native alternative that does this, with full thread context and implementation in under ten days.

HighRadius is a dedicated accounts receivable and treasury platform founded in 2006, offering a broad set of office of CFO functionality. AR teams look for alternatives because HighRadius deployments take six to twelve months and the tool doesn't handle inbound billing queries. Paraglide is the best AI-native alternative for teams where the bottleneck is the inbound billing conversation, because its AI agents handle both outbound collections and inbound query resolution end-to-end, with full thread context and implementation in under ten days.

Upflow and Kolleno are the two most compared mid-market AR collections platforms. Upflow leads on reporting and analytics for SaaS and technology companies. Kolleno leads on customer payment portals and transparent pricing for mid-market B2B. Both automate outbound payment reminders through rule-based workflows. Neither handles inbound billing queries — the disputes, PO mismatches, and replies that accumulate in a shared inbox after each reminder is sent. This guide compares them across features, pricing, and implementation, and introduces Paraglide as the AI-native alternative that handles the full collections conversation and inbound billing queries.

Quadient (YayPay) and Sidetrade are both Paris-headquartered enterprise AR platforms. Sidetrade leads on credit risk prediction and order-to-cash specialisation for European enterprise. Quadient leads on AP and AR under one vendor, alongside mail and document management. Both automate outbound collections through rule-based workflows. Neither handles inbound billing queries — the disputes, PO mismatches, and replies that accumulate in a shared inbox after each reminder is sent. This guide compares them across AR capabilities, pricing, and implementation, and introduces Paraglide as the AI-native alternative that handles the full collections conversation.

Kolleno is a pre-AI (2019) New York-founded mid-market collections platform. Kolleno's collections workflows are rule-based, using templated payment reminders and worklist-based task management. Kolleno provides a payment portal and basic AR dashboards. AR teams look for alternatives to Kolleno to find AI-native solutions that also automate replies to inbound billing queries and that can use AI to handle end-to-end collections conversations, including replies to payment reminders. Paraglide is the best such AI-native alternative for AR teams with high-volume B2B invoices.

Sidetrade is a 26-year-old software company from France, providing accounts receivable software. It is an enterprise collections platform with credit risk scoring, payment prediction, and cash flow forecasting, used primarily by European enterprises. Sidetrade's collections workflows are rule-based, using automated dunning letters prioritised by predictive payment scores. Sidetrade provides credit management capabilities and has expanded through numerous acquisitions. AR teams look for alternatives to Sidetrade to find AI-native solutions that also automate replies to inbound billing queries and that can use AI agents to handle end-to-end collections conversations, including replies to payment reminders. Paraglide is the best such AI-native alternative for AR teams with high-volume B2B invoices.

Upflow is a pre-AI (2017) French-founded mid-market collections platform with strong reporting and AR analytics, popular with SaaS/tech companies. Upflows collection workflows are rule-based, using templated payment reminders. Upflow provides detailed analytics and the ability to cooperate with sales teams (Financial Relationship Management). AR teams look for alternatives to Upflow to find AI-native solutions that also automate replies to inbound billing queries and that can use AI to handle end-to-end collection conversations, including replies to payment reminders. Paraglide is the best such AI-native alternative for AR teams with high-volume B2B invoices.

Sidetrade and Esker are both established enterprise platforms in the European order-to-cash market, but they solve different problems. Sidetrade is stronger in credit risk scoring, payment prediction, and multi-entity European receivables environments. Esker is stronger in broader finance operations coverage, with AR sitting alongside AP, procurement, and order management. Both platforms are still centred on structured workflows, dunning, and process management, rather than handling the full billing and collections conversation. Paraglide is the best AI-native Esker and Sidetrade alternative for teams that want to automate billing queries, disputes, and end-to-end collections conversations with AI agents that do the work rather than just assist the user.

Access ERP is a finance system for running the ledger, raising invoices, and tracking what is owed. It can show which invoices are overdue, but the work that follows still sits with the finance team: chasing payment, answering questions, handling disputes, and working out what is holding payment up. For many teams on Access ERP, that still means running the aged debtors report, working through accounts one by one, and managing the status across inboxes, calls, and spreadsheets. Even with a credit control tool in place, many teams still only improve the outbound side. Replies, billing queries, and disputes still come back into the finance inbox to be handled manually. Paraglide is an AI-native solution that automates the missing workflow, helping finance teams manage collections conversations, billing queries, disputes, and follow-up in one place.

Chaser is a payment reminder and credit control tool used by finance teams to automate overdue follow-up. Teams usually start looking for an alternative when sending reminders is no longer the hard part and most of the work sits in invoice queries, disputes, missing information, short-pays, and customer follow-up. The tools in this category do not all solve the same problem. Some stay close to reminders, some are stronger on credit control, some focus on risk visibility, and some cover a broader part of the receivables workflow. For teams dealing with a busy finance inbox and a high volume of manual collections work, Paraglide is the strongest option in this list.

QuickBooks is an accounting platform that supports dunning through automated payment reminders in accounts receivable. Those reminders follow template-based emails and preset timing rules, giving finance teams a consistent way to follow up on overdue invoices. As invoice volume grows, many AR teams need more than outbound reminders because late payment is often tied to issues such as missing POs, disputes, pricing questions, or invoice queries. Accounts receivable AI agents automate those high-volume billing and collection conversations in the finance inbox. Paraglide integrates with QuickBooks and provides AI agents for B2B finance teams to help them get paid faster and save time on repetitive, manual work.

Discounts and allowances are usually reductions to revenue because they reduce the amount a customer actually pays. That means they should normally sit between gross sales and net sales, not in operating expenses. The key exception is when the payment is clearly for a distinct service, such as advertising or shelf placement, in which case it may be treated as marketing expense. The article explains this distinction, shows where these items belong in the P&L, walks through a practical example, and highlights the common mistakes that lead to weak net sales and margin reporting.

Most AR teams are still handling billing queries manually in shared inboxes or ticketing tools, even though this work often absorbs multiple FTEs and directly delays payment. AR helpdesk automation uses AI agents to read inbound billing emails, pull the right invoice or payment context, resolve routine queries automatically, and route only the exceptions that need human judgement. Unlike generic ticketing systems or legacy AR platforms built mainly for outbound reminders, purpose-built AI agents can handle the actual work of billing query resolution at scale. That matters because unresolved invoice questions, PO issues, disputes, and statement requests are often the real reason cash is delayed. By resolving these issues faster, finance teams can reduce manual workload, improve response times, and lower DSO.

Promotional allowances sit at the centre of FMCG revenue management because they affect net sales, gross margin, accrual accuracy and cash collection at the same time. They are often negotiated as commercial growth levers, but the accounting treatment is more exacting than many teams expect. Most promotional allowances reduce revenue rather than sit in operating expense, and getting that distinction wrong can misstate both net revenue and profitability. They also create operational pressure inside Accounts Receivable. Short payments, billbacks, scan-down claims and co-op deductions all have to be validated, coded, accrued and resolved. When they are not, deductions age, disputes drag on and DSO rises. This guide explains what promotional allowances are, how they should be accounted for, how they differ from other forms of trade spend, and how FMCG finance teams can manage the deduction and collections impact more effectively.

Many AR teams only automate the outbound side of collections. Reminders go out automatically, but invoice queries, disputes, statement requests, missing PO issues and payment follow-ups still sit with the AR team. That is often where payment delays begin. Teams can invest in AR automation and still spend too much time in the finance inbox handling work manually. The real issue is not just sending reminders, but clearing payment blockers quickly. AI agents help by handling routine queries and passing on more complex cases with the right context. Paraglide covers both outbound remind

Collection rate measures how effectively a company converts invoices into cash during a defined period. For finance teams, it provides a direct view of how well collections are performing and whether overdue receivables are likely to increase. Unlike metrics such as Days Sales Outstanding (DSO), which measure the average time it takes to collect payments, collection rate focuses on the proportion of invoices that are actually recovered. When tracked consistently, it helps finance teams identify early signals of payment delays, disputes or weakening credit control. This guide explains how to calculate collection rate using the most common formulas, how to interpret the result in a real accounts receivable workflow and which reporting mistakes frequently distort the metric.

Remittance parsing is the process of extracting and interpreting remittance advice so payments can be matched to the correct open invoices before cash is applied. When this is done manually, finance teams spend too much time searching inboxes, reviewing attachments, chasing missing references, and working out how deductions, short-pays, and credit notes should affect allocation. That slows cash application, increases unapplied cash, and creates extra work across receivables. AI agents are useful here because they can understand remittance details in context rather than simply reading text from a document. Paraglide is an agentic AI platform that supports this process by identifying remittance advice in the finance inbox, extracting the relevant payment details, checking them against open invoices, and helping finance teams move the work forward faster.

Accounts Receivable salary in the UK varies significantly depending on seniority, revenue scale, industry complexity and operational responsibility. In 2026, the gap between transactional AR roles and strategic AR leadership continues to widen. Entry-level roles typically earn between £24,000 and £32,000. Supervisor roles range from £38,000 to £50,000. Accounts Receivable Managers generally earn between £50,000 and £75,000 nationally, while Senior Managers and Heads of AR can exceed £100,000 in complex or enterprise environments. Location, billing structure, dispute volume and automation maturity all influence where a role sits within that range.

Credit control is central to cash flow, risk management and customer relationships, yet in many organisations execution remains manual and inconsistent. Spreadsheets, inboxes and individual vigilance often determine whether commitments are tracked, disputes are surfaced, and escalations happen on time. As volumes grow, this model becomes fragile. AI agents introduce structured, system-level discipline into credit control. Operating within defined guardrails, they monitor debtor activity continuously, categorise communications, track promise-to-pay commitments, prioritise risk and trigger consistent follow-up. This reduces reliance on manual coordination while preserving human oversight. Because credit control is data-rich, rule-based and measured by clear metrics such as DSO and ageing, it is particularly well suited to AI-driven execution. Implemented in a phased and controlled way, AI agents strengthen operational consistency, enabling credit teams to focus on judgment and negotiation while routine monitoring and follow-through happen reliably in the background.

For modern finance teams, the inbox is not just a communication channel. It is the operational centre of accounts receivable. Invoice queries, disputes, deductions, remittances and payment negotiations all take place in email. Yet traditional shared inboxes centralise communication without structuring it. As volume increases, ownership becomes unclear, prioritisation follows timestamp rather than financial impact, and repetitive billing queries consume valuable collector capacity. Moving to ticketing systems often introduces processes without solving the underlying problem. By embedding AI agents directly into the finance inbox, billing and collections conversations can be triaged, prioritised and progressed automatically. Routine queries are resolved instantly, promise-to-pay dates are tracked systematically, disputes are surfaced early, and follow-ups are triggered without manual intervention.

Credit control remains a critical function within finance teams, directly impacting cash flow, risk management and overall business stability. As economic pressures, late payment risks and regulatory scrutiny increase, demand for skilled credit professionals continues to grow. This guide provides a comprehensive overview of credit control salaries across the UK in 2026, including role breakdowns, regional differences, influencing factors and hiring trends.

Late payments are one of the most persistent challenges for businesses. Even when clear payment terms are set, invoices are often paid late, placing pressure on cash flow, forecasting accuracy, and working capital. Traditionally, finance teams have managed overdue accounts manually, relying on spreadsheets, diary reminders, and ad hoc emails. This approach is slow, inconsistent, and difficult to scale, often leading to delays, errors, and customer friction. Microsoft Dynamics 365 Business Central is a cloud-based system that centralises business operations, including finance, sales, and customer management. It offers a structured framework for automating payment reminders, known as dunning letters, transforming what was once a reactive administrative task into a systematic, intelligent process. Layering AI agents on top further enhances the process, allowing reminders to be prioritised and tailored based on customer behaviour.

At 1,000-10,000 invoices per month, AR teams receive 50-150 customer emails weekly - roughly one email for every 20-40 invoices - requesting missing documents, dispute resolutions, and payment confirmations. 60-80% of payment delays are caused by emails, not invoices; ERPs and standard workflow tools cannot manage the conversation layer of accounts receivable. AI-native AR automation converts inbox chaos into structured data: AI agents AR platforms read customer emails, extract promise-to-pay commitments, identify dispute patterns, and sync updates to the ERP, eliminating the manual triage that consumes entire workdays. The impact is measurable: AI-driven AR automation is correlated with 75% of finance teams reporting Days Sales Outstanding (DSO) improvement of 6+ days when AI is part of their receivables stack. Paraglide is a purpose-built Accounts Receivable (AR) software that automates the inbox layer with AI, handling 2-way emails in 100+ languages, retrieving documents, capturing promise-to-pay commitments, and escalating only when human judgment is required.

The bottleneck in accounts receivable isn't billing, it's conversations. When payment reminders go out, some customers reply with disputes and questions, others go quiet. AR teams have to manually respond to each inbound query and followup on overdue invoices from a shared inbox. AI agents help AR teams automate these conversations at scale to reduce DSO and save time. Paraglide builds AI agents for accounts receivable that work inside the finance inbox. The AI agents respond to billing queries, send reminders, track payment commitments, and follow up consistently.

AI agents bring a new paradigm to dunning workflows. Instead of static, one-size-fits-all reminder sequences that customers ignore, companies can now run personalized, conversational, and context-aware collection processes at scale. By capturing promise-to-pay dates, maintaining continuity of escalation, and applying proven tactics from AI-driven sales outreach, AI agents can act like a full AR team, chasing payments, resolving queries, and escalating only when needed. For CFOs, the benefits are clear: lower DSO, fewer bad debts, reduced headcount pressure, and less reliance on costly collection agencies.