The process of onboarding new customers in factoring spans multiple departments, multiple systems, and a sequence of verifications that oftentimes each require their own queue. Done efficiently, a new client moves from first application to funded first invoice in a week or two. In practice, the process runs considerably longer and the client spends most of that time with no visibility into where their case stands.
The gap is quantifiable. Trulioo's benchmarking of corporate onboarding at institutional banks puts average elapsed time at up to 100 days, with more than 40% of that period consumed by KYC and account-opening tasks alone. Factoring runs shorter, but the structural pattern is consistent across the sector: work time measured in hours, elapsed time measured in weeks.
That is the factoring onboarding problem, not the steps themselves, which each department typically executes well, but what happens between them: where cases queue, documents get re-collected, and context is lost every time a file moves from one function to the next.
Key takeaways
- Each step in factoring onboarding works. The process as a whole still takes weeks because transitions between departments depend on individual effort rather than system design.
- Client portals, e-signing, and online applications removed the friction within each step. The handoff problem (documents re-collected, context lost, data re-entered at every department boundary) remains structural.
- An orchestration layer that validates documents at intake, routes cases between departments, and gives the COO real-time case visibility is where operational gain sits and where most European factors have not yet looked.
The factoring onboarding sequence: multiple functions, one process
Factoring onboarding moves a new client through a defined sequence: deal origination, document collection, credit assessment, debtor verification, legal and contractual review, compliance and KYC, operations account setup, and finally account management handover.
In larger firms, these are separate departments with separate systems and separate queues. In smaller and mid-size operations, several functions may belong to the same person but the boundaries between them remain, and each handoff is a potential point of failure.
What the client sees
From the client’s side, the sequence has one visible characteristic: opacity. Lara O’Conner Hodgson, CEO and former factoring client, described the experience in IFA Commercial Factor Q3 2025: “the back and forth was like watching a ball in a pinball machine bounce along wondering where it would come out… it was hard to manage my business when it took so much time to work through the tug-o-war.”
The description captures something that surfaces in customer reviews consistently – the client cannot see what stage their application is at, cannot predict when the next action is required of them, and cannot distinguish between “in progress” and “stuck in a queue.”
Enhancing the architecture of an application that enables over 20 million invoices to be processed each day
Read the case studyThe person-dependent workaround
When onboarding works well, customer reviews almost always credit a specific person. “My onboarding was excellent, largely thanks to [name]” is a recurring pattern across Trustpilot reviews of factoring companies.
The structural workaround in many firms is an Account Manager or onboarding specialist who carries the client through every stage, bridging the functions manually. When that person is good and available, the process works. When they are stretched or absent, it does not. The process depends on them, not on a system and that is precisely what makes it fragile.
Where the process breaks: transitions, not steps
The first transition, client to factor, generates stoppages before the internal process has properly started. Document submissions routinely arrive incomplete: AR aging in the wrong format, missing UBO declarations, company registration certificates from the wrong jurisdiction, invoices that do not reconcile with the debtor list.
A checklist exists, but clients work from it imperfectly, and the gap surfaces only when Credit Assessment opens the file – days after submission, a correction request goes back through Sales, then the client resubmits and the cycle repeats until the pack is compliant.
Practitioners across the European factoring sector describe the factor’s actual processing work including credit assessment, debtor verification and contract review as measured in hours. The elapsed time that precedes it sits in the document correction cycle: a few rounds of incomplete submissions, correction requests, and resubmissions before a compliant pack reaches Credit Assessment. The onboarding clock has started; the work has not.
Each department optimises locally
In companies where onboarding functions sit in separate departments, each optimises for its own quality bar: Sales for deal velocity, Credit Assessment for credit completeness, Legal for contract precision, Compliance for regulatory defensibility.
When transitions between functions are not deliberately managed, they become the weakest link in the chain. Context is lost at each handoff and data is re-entered because nothing flows automatically from one system to the next.
The coordination tools have not changed
The coordination tools in use are largely the ones they have always been, and IFA’s published best-practice guidance for onboarding workflow still recommends checklists as the primary mechanism for coordinating across departments. Email and phone calls continue to bridge the handoffs between teams, whether that means Credit Assessment sending a request for additional documents and waiting on a reply, Compliance routing a flagged KYC issue back through the commercial team, or Operations re-entering data that Sales already collected once a signed contract comes through.
Practitioners recognise this. The Non-Negotiable Six, a framework published by Cole Harmonson, CEO of Dare Capital, in IFA Commercial Factor Q1 2024, lists what every factoring organisation should have. Two of the six items are “eliminate reliance on spreadsheets” and “a built-in task management system to enhance communication and accountability.” These are listed as goals, not achievements – an acknowledgment from practitioners that the coordination gap is structural, not incidental.
Why digitising the steps didn't close the gap
Online applications, e-signing, and client portals reduced the time from client submission to receipt. Documents that once arrived by courier or post now reach the factor within hours; e-signed contracts are returned in minutes. These were the right investments.
What an online form does not do is validate what it receives. The document correction cycle runs just as before: submissions arrive incomplete, correction requests go back through Sales, clients resubmit. Faster transmission did not reduce the number of rounds.
Cases arrive faster at each department’s door. Routing them from Sales through Credit Assessment through Legal to Operations still runs on email chains and status calls. A credit assessment that takes a credit analyst two hours to complete may wait two days for the packet to arrive correctly assembled. A signed contract returned by the client in minutes may sit in Legal’s queue for several days. Digitisation addressed the form problem effectively, but what it left intact is the flow that still needs optimisation.
Document validation at intake & smart routing
What closes the gap is an AI-based workflow layer that sits above the existing core systems, coordinating the movement of cases between functions without requiring those systems to be replaced or a person to bridge the gaps manually.
AI reads the submission on arrival and validates if documents are complete, AR aging covers the required period or data is compatible with the factor’s credit assessment criteria. Non-compliant submissions receive specific, automated feedback within minutes, before any human touches the file. In the result, Credit Assessment receives a pre-validated packet. The Sales-to-Credit-Assessment handoff arrives assembled, not requiring reconstruction.
The client sees a specific stage and an expected timeframe, not “in review.” When a case stalls due to missing document, compliance queue or debtor credit check pending, the system generates a named request rather than silence. The COO sees, in one view, where every active onboarding case is and what is holding it.
Read more about AI in business:
Where human judgment stays
Christopher Friedman and Alex McFall at Husch Blackwell, cited in IFA Commercial Factor Q4 2025, draw the boundary clearly: “AI tools can accelerate document intake and help organise the initial file. Where we see companies stumble is when these tools are allowed to drift from ‘intake support’ into unreviewed ‘decision support.'”
Credit assessments, debtor creditworthiness, risk ratings – these stay with the credit analyst who holds accountability. For regulated factors operating under EBA and AMLD obligations, this is a compliance requirement. The orchestration layer operates in the paperwork-and-routing layer, but the judgment stays human.
This layer requires configuration before it runs reliably. Routing logic, escalation rules, exception handling – these are design decisions, not defaults, and they are where most of the implementation effort sits. Building and configuring an orchestration layer of this kind requires both workflow delivery capability and domain fluency in regulated financial services: understanding where the compliance boundary sits, how to design exception handling that holds up under audit, and how to connect the layer to core factoring systems without disrupting live operations.
That combination of technical and domain expertise is what determines whether the system delivers the gains it promises or stalls at implementation.
The orchestration layer gives the Account Manager a system to work within, rather than a coordination gap to fill manually.
The portal, the e-signing, the notifications – these were the right investments. They solved the coordination problems that existed when they were built. What they left behind is the transitions: the layer between steps, not inside them. The factors that close that gap first bring better-organised files to credit assessment, fewer exception cycles, and cleaner client data from day one. The quality of what enters the process determines the quality of what exits it.
Improve your financial operations with AI and automation
From invoice intake to decision-making and process optimisation, you gain solutions that reduce manual work, accelerate funding decisions and improve control over financial processes.
We support banks, fintechs and supply chain finance providers in improving operational efficiency.
