What credit control software actually does
Credit control software automates the process of getting customers to pay on time: sending reminders, tracking promises to pay, escalating overdue accounts, and setting or adjusting credit limits based on payment behaviour. It sits next to, not instead of, your ERP or accounting system, which stays the system of record for invoices and cash.
It's easy to confuse with "credit management software," which leans further toward credit risk scoring and approval workflows before a sale is made. In practice the two overlap heavily and most vendors, including the ones compared below, sell both capabilities in one platform. If you're specifically choosing between credit-scoring-first platforms, see our comparison of credit management software; this article is scoped to the collections and dunning side of the job: the day-to-day work of a credit controller chasing a debtor book.
The one distinction that matters most when comparing tools in 2026 is what happens after a reminder goes out. Every platform in this comparison can send a scheduled email. Far fewer can read the reply that comes back, work out whether it's a promise to pay, a dispute, or a request for a copy invoice, and handle it without a human re-opening the case in an inbox.
The 9 credit control platforms compared for 2026
Platform | Generation | Handles inbound replies? | Credit risk / limits | Core ERP integrations | Published pricing (Aug 2026) |
|---|
Paraglide | Gen 3 (AI-native) | Yes: AI agent manages the full 2-way thread from first reminder to debt recovery | Combines external credit-score data with internal payment behaviour to update limits and flag at-risk accounts | SAP, Oracle, Microsoft Dynamics 365 F&O and Business Central, Sage, NetSuite, Infor, IFS, Odoo, QuickBooks, Xero, and more | Not published; quote-based |
HighRadius | Gen 1 (legacy) | Not disclosed on public pages; company markets a separate "Credit Cloud" module for scoring | Credit Cloud module for scoring and monitoring | SAP, Oracle, Microsoft Dynamics, NetSuite | Not published; quote-based |
Sidetrade | Gen 1 (legacy) | Markets AI-assisted scoring ("Aimie") layered onto an established reminder/workflow suite | AI-assisted credit scoring | Broad ERP suite (enterprise-focused) | Not published; quote-based |
Esker | Gen 1 (legacy) | Collections management module inside a wider order-to-cash/procure-to-pay suite | Available as part of the wider suite | Common in SAP environments | Not published; quote-based |
Chaser | Gen 2 (SaaS, 2010–2020) | AI email generator drafts reminders; replies are handled by the customer's own team | Add-on "AI debtor risk insights" and credit monitoring reports | Xero, QuickBooks, Sage, NetSuite, Microsoft Dynamics 365 Business Central, SAP | From $259/month (Compact, 4 users) to $1,169/month (Complete); custom pricing above £100m revenue |
Kolleno | Gen 2 (SaaS, 2010–2020) | "AI Agent Support" from the Business Plus tier up; core plan is workflow automation and SMS/call reminders | Not a distinct module; workflow-based | NetSuite, QuickBooks, Xero, Sage Intacct, Microsoft Dynamics, SAP, Oracle | From $650/user/month (BusinessPay) to $1,245/user/month (Business Plus); custom Enterprise tiers |
Upflow | Gen 2 (SaaS, 2010–2020) | Markets "Autonomous cash collection" AI Agents layered onto its reminder-sequence workflow | Customer payment-behaviour analytics, not a dedicated risk module | NetSuite, Sage Intacct, Zuora, QuickBooks, Xero, Stripe Billing, Chargebee | Not published; tiered by ARR band ($0–10m / $10–50m / $50m+), contact sales |
Gaviti | Gen 2 (SaaS, 2010–2020) | Markets "Agentic AI chat" layered onto configurable dunning workflows | Automated credit reviews, limit setting, and searches across 200+ countries | Listed as a module; specific integrations not published | Not published; custom, usage-based |
Tesorio | Gen 2 (SaaS, 2010–2020) | Drafts follow-ups and extracts payment promises from inbound replies via a dedicated collections agent; escalates exceptions | Not a distinct credit-limit module; cash-forecasting focus instead | NetSuite, Salesforce, Workday, Stripe, Zuora, QuickBooks, plus API | Not published; quote-based |
A note on how to read this table: three Gen 2 vendors (Upflow, Gaviti, Tesorio) now use agent or "autonomous" language in their own marketing. That's a function of where the market's attention is in 2026, not evidence that the underlying architecture changed. The distinction Paraglide draws, and the one worth checking directly with any vendor, is whether "AI agent" describes a feature added to an existing reminder-sequence product, or the foundation the product was built on. See Why credit control software's AI claims deserve scrutiny below.
Paraglide: AI-native credit control for high-volume B2B teams
Paraglide is the only platform in this comparison built as an agent-first system rather than a rules-based workflow with AI features added later. That distinction matters most for organisations with high invoice frequency, where legacy reminder-based dunning breaks down and teams fall back on manual statements and follow-up calls.
Paraglide's collections agent manages the full two-way collections conversation: reminders, replies, and follow-ups within the same email thread, from the first reminder through to debt recovery, rather than generating a reminder and leaving any reply for a human to pick up. It captures promise-to-pay dates automatically and follows up when a commitment breaks, applies segment-specific escalation (stricter handling for repeat late payers, human routing for disputes and key accounts), and can add late fees or formal notices where a credit policy calls for it.
Credit control rarely stops at collections. Paraglide's billing support agent works inside the finance inbox to resolve invoice and billing queries, document requests, and PO-number corrections in any language, so the volume of inbound queries that would otherwise land back on a credit controller's desk gets triaged and answered directly. The disputes capability detects and routes disputes to the right approver and follows them through to resolution, and the cash application agent matches incoming payments, including the wrong references, missing digits, short payments and bulk transfers that rule-based matching engines typically reject, which is often what causes a credit controller's aged-debt list to be wrong in the first place. Teams that also manage supplier-side portals can use the supplier portal agent to handle Ariba, Coupa, Tungsten and similar systems.
On credit specifically, Paraglide combines external credit-score data with internal payment behaviour to update credit limits and flag at-risk accounts dynamically, rather than relying on a static credit review cycle. Every agent works within configurable guardrails: teams set approval thresholds and expand what the system handles independently as trust builds, and the ERP remains the system of record throughout. See the full product overview for the complete agent lineup.
See how Paraglide handles a real collections conversation →
Gen 1: the legacy platforms
Gen 1 platforms (HighRadius, Sidetrade, Esker, and similar suites) have been in market for 20-plus years and were built around structured workflow automation before AI was part of the product conversation. Mechanically, this generation of software sends outbound payment reminders, but a customer's reply to that reminder typically goes back to a shared AR inbox for a person to read and action; more reminders sent simply means more replies for the team to manage manually. That model tends to hold up reasonably well at low invoice frequency and breaks down as volume grows, at which point teams often revert to periodic statements and manual chasing rather than invoice-based dunning.
HighRadius sells collections and credit management as separate modules ("Credit Cloud") inside a broader order-to-cash suite, with integrations into SAP, Oracle, Microsoft Dynamics and NetSuite. Pricing isn't published; it's sold as an enterprise, quote-based deal, and is most often chosen by large enterprises already standardised on the wider HighRadius O2C platform.
Sidetrade markets AI-assisted credit scoring (branded "Aimie") layered on top of its established reminder and workflow suite. Pricing isn't published.
Esker offers collections management as part of a wider order-to-cash and procure-to-pay platform, commonly deployed alongside SAP. Pricing isn't published.
Gen 2: SaaS rule-based platforms
Gen 2 platforms (roughly 2010–2020 vintage) replaced on-premise legacy software with cloud-native, subscription-priced tools, and several have since added AI-branded features to existing reminder workflows.
Chaser publishes clear tiered pricing, from $259/month for a 4-user Compact plan up to $1,169/month for its Complete tier, plus custom enterprise pricing above £100m turnover. It includes an AI email generator to draft reminders and an add-on debtor-risk scoring feature, but replies to those reminders are handled by the customer's own credit control team rather than by the software. It integrates with Xero, QuickBooks, Sage, NetSuite, Microsoft Dynamics 365 Business Central and SAP.
Kolleno prices per user rather than per account: $650/user/month for its BusinessPay tier rising to $1,245/user/month for Business Plus, with custom Enterprise tiers above that. "AI Agent Support" is included from Business Plus upward; the core product is workflow automation plus built-in SMS and call-based reminders. Per-user pricing means the total cost scales quickly with team size.
Upflow doesn't publish rates, instead tiering by annual revenue band ($0–10m, $10–50m, $50m+) with a "contact sales" flow for every paid tier. It markets an "Autonomous cash collection" AI Agents feature on top of its existing reminder-sequence workflow, and positions itself more broadly as a "Financial Relationship Management" platform with customer payment-behaviour analytics, integrating with NetSuite, Sage Intacct, Zuora, QuickBooks, Xero, Stripe Billing and Chargebee.
Gaviti uses custom, usage-based pricing rather than published rates, and includes an "Agentic AI chat" feature within configurable dunning workflows, plus an automated credit-review module covering credit searches in 200-plus countries.
Tesorio doesn't publish pricing. It runs three separate agents (collections, cash application, and a supplier-portal agent for Coupa and Ariba) and claims a 95%-plus auto-match rate on cash application; its collections agent drafts follow-ups and extracts payment promises from inbound replies before escalating exceptions to a human, which is structurally closer to Paraglide's approach than the rest of Gen 2, though Tesorio doesn't publish a comparable finance-inbox or billing-query product for the wider query volume a credit control function typically has to absorb.
Other credit control software worth checking
If your team is smaller or your requirements are narrower than the platforms above, it's worth checking a few additional names that come up in credit control software searches: Cevinio, EzyCollect, Creditpoint, Credithound, Satago and Debtor Daddy. These tend to suit lighter-weight deployments or specific regional/accounting-platform niches rather than high-volume, multi-ERP B2B credit control, and are worth a direct look if your invoice volume or ERP complexity is on the lower end of what this comparison is built for.
Results teams report after switching
Real, published outcomes from Paraglide customers, not projections: Choco's finance director reported a 34% reduction in DSO within 14 days of going live. GetAccept's finance operations manager reported reaching inbox zero in the platform's first week of use, down from hundreds of open cases. Spiideo's CFO reported cutting invoices more than 30 days overdue by over 40% after implementation, and Gorilla Gasket's owner reported a similar reduction in ageing debt from contextual, multi-invoice follow-up. Teamtailor's finance operations manager said the agent's replies were accurate enough that the team became comfortable letting it handle routine queries independently.
Independently, Paraglide holds a 5.0-out-of-5 rating across 9 organic, verified reviews on G2 as of 17 August 2026.
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Why credit control software's AI claims deserve scrutiny
Not every "AI Agent" label in this market describes the same thing, and that distinction is now a genuine buying criterion, not just marketing noise. Three of the Gen 2 platforms compared above (Upflow, Gaviti, Tesorio) now market agent or "autonomous" branding on top of collections workflows that were originally built as scheduled, rule-based reminder sequences. That's a reasonable thing for a vendor to do, but it's worth asking directly in a demo whether the "agent" reads and acts on a customer's actual reply, or whether the reminder is still the end of the automated part of the process.
There's a broader reason to ask that question carefully. Gartner's May 2026 research on CFOs and AI strategy found that 71% of typical finance teams report low impact from their AI investments, and that 62% of CFOs say fewer than a quarter of their AI initiatives deliver measurable benefit, largely because 84% of finance AI spending is still going toward individual productivity tools rather than initiatives designed to change a business outcome such as DSO (Gartner, 27 May 2026). Separately, Gartner's research on finance technology investment (based on a survey of 314 organisations, September–October 2025) found that CFOs who manage AI and technology as a coordinated portfolio, rather than isolated pilots, are the ones positioned to capture measurable margin gains by 2029 (Gartner, 28 April 2026). Applied to credit control specifically: an "AI Agent" bolted onto a reminder scheduler is closer to the productivity-tool category those Gartner figures describe as low-impact, while an agent designed to run the reply and resolve the query is closer to the outcome-level automation the same research associates with measurable results.
How to switch credit control software without disrupting collections
Moving credit control software mid-cycle is a live-operations change, not a simple software swap, so a phased approach reduces the risk of dropped follow-ups during the transition.
Identify a clear starting point. Pick the specific friction point costing the most time today, such as inconsistent promise-to-pay tracking, high query volume, or manual credit reviews, rather than attempting a full replacement on day one.
Define focused use cases before integrating. Decide exactly which accounts, segments or invoice types the new system will own first.
Integrate with your existing ERP as the system of record. Confirm the new platform reads from and writes back to your ERP (SAP, Oracle, Microsoft Dynamics, Sage, NetSuite or similar) rather than creating a second source of truth for balances and ageing.
Translate your credit policy into explicit guardrails. Escalation rules, approval thresholds and autonomy limits should be defined and agreed before go-live, not discovered afterwards.
Pilot within a controlled segment. Run the new system against a defined slice of the debtor book, such as one region, one customer segment, or one invoice type, before rolling out further.
Scale based on evidence, not schedule. Expand coverage once the pilot segment shows the promise-to-pay accuracy, response time and escalation behaviour you need, and only then hand over more of the debtor book.
Paraglide customers typically go live within 3 days and begin active collections within 7, per the billing support agent and collections agent product pages.