Floowed vs Provenir: Credit Decisioning and Underwriting Compared

For lenders whose applications arrive in pieces, with a payslip or an employer's answer still outstanding, Floowed is the stronger choice than Provenir: it carries the case while it waits, chases what is missing, then runs your credit policy in a deterministic policy engine, and you can start free on published credits.

Provenir is the long-established credit decisioning incumbent: APAC HQ in Singapore, 120+ partner data marketplace, bank logos including BBVA, SoFi, and tbi bank, a six-figure annual floor by reputation, and enterprise implementations with professional services attached. Floowed runs the whole credit case, from application to decision. The deterministic policy engine runs the rules your credit and risk team wrote on every application, with the reasons and the source behind each call. What feeds it is where the difference sits: your own systems, the bureaus and registries, and documents at any quality, including the ones nothing else in the stack can read. When a required answer exists nowhere yet, Floowed asks the person who has it and keeps asking until it comes back. Credit and risk teams operate the policy directly and choose how much it decides on its own. Pricing is published, on credits, with a free start, and the platform is live in minutes, with set-up support for lending integrations. If you are a bank, fintech, NBFC, multifinance, BNPL, microfinance, rural bank or cooperative anywhere in the world, this comparison is built for you.

The short answer

Provenir and Floowed both sit in the credit decisioning category, and both sell to lenders from new fintechs to banks: Provenir's own case studies include a start-up BNPL business launched in under three months and a newly established lender. Provenir is enterprise sales-led, with a six-figure annual minimum by reputation, implementations with Provenir Professional Services involved, and full-lifecycle scope across credit, fraud, identity, collections, and customer engagement. The difference that decides it is what happens once a gap is found. Provenir extracts the documents it receives and routes exceptions into case management. Floowed carries the incomplete application as a long-running asynchronous case: the missing piece is chased from the applicant, a system or an agent, the checks that depended on it run again when the answer lands, and only then does a deterministic policy engine decide. Floowed is product-led around that: published credit pricing, live in minutes on the platform with set-up support for lending integrations, no consulting engagement attached. The only reason this comparison exists is that Provenir is the global incumbent that comes up most in decisioning conversations, so an honest piece is better than a vague one.

Quick comparison

Where Provenir is strong

Provenir's strengths are real: two decades in market, a data marketplace of 120+ partners, full-lifecycle scope, and a Decision Intelligence Platform (Feb 2026) with an embedded multi-LLM hub and an AI Assistant, on which business teams modify strategy without IT queues. None of that settles the question this comparison turns on: who carries the application while it is incomplete, and what runs again when the missing piece lands. Floowed holds that application as a long-running asynchronous case, chases the missing piece from the applicant, a system or an agent, and re-runs the dependent checks before a deterministic policy engine decides. That is where Floowed wins, and the rest of this piece shows why.

Provenir in Southeast Asia

Provenir has a real SEA presence. APAC HQ at 21 Collyer Quay in Singapore, Teng Sherng Lim as MD APAC, published content addressing Indonesia (citing a 65% unbanked figure), Malaysia, Singapore, the Philippines, and Australia. We name those facts because any prospect doing serious diligence will find them, and a vague comparison damages the conversation.

The presence is real, and the regional offices run the same sales-led motion Provenir runs globally: the same reported six-figure floor, the same services-supported implementation, the same full-lifecycle platform. Banks and fintechs in the region will see Provenir in the room.

A local office changes who answers the phone, not what happens to an application. A growth-stage fintech, an NBFC running on Excel and an LMS, a multifinance lender, a microfinance lender, a BNPL launching this quarter, a rural bank or cooperative: Provenir does sell to lenders like these. The question this comparison is really about is what happens to their applications, which arrive incomplete and in whatever state the applicant sends them. Floowed holds each one while the missing piece is chased, runs the dependent checks again when it lands, and is live in minutes on the platform rather than after a procurement cycle.

Where the enterprise model and Floowed part ways

Provenir's platform is broad and well built. Four things are worth testing against your own applications before you sign, and on each of them Floowed gives the stronger answer.

Who carries the incomplete application. Provenir now lists agentic document extraction and classification, turning statements, applications and identity documents into structured fields, and adds document partners through its marketplace. Real-world loan applicants rarely deliver everything at once. They deliver photos of payslips taken on a phone, scans of bank statements with the corner folded, handwritten passbooks and income declarations, and business registrations from a dozen jurisdictions in a dozen formats, and then the co-borrower's income arrives a week later. Provenir's published material does not describe reading handwritten documents, or chasing the missing piece and running the checks again when it lands. Floowed does both: the case waits as a long-running asynchronous case, is chased from the applicant, a system or an agent, and resumes on the answer. For a buyer whose actual operational pain is getting what applicants send into a decision-ready case, that difference is operational, not theoretical.

What the clock measures. Provenir engagements run with Provenir Professional Services involved: discovery, policy translation, integration, user acceptance testing, training. Provenir's own site says new use cases can go live "in as little as four weeks" and that SoFi went live within 10 weeks; buyer reports for full enterprise implementations run six months and up. Ask which of those steps the clock includes. On Floowed the platform is live in minutes, with set-up support for lending integrations, because credit and risk teams write the first policy directly and the lending integrations are already built.

When you learn the number. A fintech doing $30 million in annual originations, or a multifinance lender doing $100 million that is also paying for its LMS, its KYC vendor, its bureau access, its core banking, and its analytics stack, plans every software line carefully. Provenir's price is set in a sales process, and industry reputation puts the floor around six figures a year. Floowed's is on the pricing page before you talk to anyone.

How much of the lifecycle you need. Provenir sells decisioning across credit, fraud, identity, collections, and customer engagement under one platform, and for a lender that wants one vendor across the lifecycle, that breadth is the value. A lender that already has KYC and AML covered by a specialist vendor and a collections process running on its LMS needs the decision layer in the middle of that stack, which is exactly the layer Floowed runs.

Where Floowed is built to win

Floowed is one platform, built around the application that arrives incomplete. Underneath is an AI-native, multi-agent runtime, model-agnostic, routing between open-weight and frontier models on cost, latency and data residency, that runs every application from intake to outcome: gather, interpret, chase, decide, act.

The application, however it arrives. Evidence comes in three lanes that feed the same decision: your own systems over API, MCP and 40+ integrations in the lending stack; external sources: the bureau, called under your own agreement or read from the report you pull, plus registries and KYC results; and documents, read in whatever state they arrive. Handwritten passbooks and payslips, photographed and skewed bank statements, scanned business registrations and partially completed forms are read and analyzed, not just OCR'd: income normalization, cash-flow and bank-statement analysis (ADB, DSCR), tampering signals, and every figure cross-checked against the other sources. What is missing is chased from the applicant, a system or an agent as a long-running asynchronous case: it suspends on the question and resumes when the answer lands, so nobody tracks a half-complete file in an inbox.

Tampering and cross-checks on the evidence itself. Floowed flags manipulation in the documents (metadata, fonts, edited values, balances that don't add up) and cross-checks what a document claims against the rest of the case: a vehicle title or registration against the chassis and plate photos, declared income against the statement credits. That matters wherever auto, secured or mortgage lending documents enter the case. Identity verification runs through the KYC provider you connect.

Credit and risk teams operate the policy, with no consultant in the loop. The policy engine is deterministic, and the Floowed Dashboard is designed to be operated by the people who actually own the credit policy. Risk teams author the policy, your credit team runs it day to day, and you choose how much it decides on its own: every case, only the routine ones, or none. Rules are written as explicit conditions. Each rule holds one condition and the policy combines them: salary below $1,500, requested amount above $5,000, employed less than six months, and when all three hold, the application goes to manual review. The team ships that change directly. Versioning, rollback, and per-decision audit trail are automatic: every case records what was read, who was asked, which rule and version decided it, and what was written where. You can replay a rule change on past cases before it goes live. No consulting engagement translates the policy into a proprietary language, because there is no proprietary language to translate into. Provenir also puts strategy changes in business hands, so the contrast is not who clicks deploy. It is what the rule runs on: a case already gathered, cross-checked and chased to complete.

Score-agnostic by design. Floowed does not sell a scoring model and does not bundle a model into the platform. Bring any score, or your own model, and it is absorbed unchanged: CredoLab, Trusting Social, Zest, FICO, Experian, CRIF, your local bureau, your internal model, or a combination. Use whichever score is right for your portfolio. Floowed orchestrates them as inputs to the policy. We orchestrate, we do not compete with scoring vendors and we do not compete with bureaus. We use them. That is a different posture from a platform that also sells its own proprietary AI models and a data marketplace.

Published pricing, live in minutes. Floowed charges for credits, the work done on a case, not seats and not models. You start free with $80 of credits, no card and no sales call. Paid plans start from $100 a month, and custom lending set-ups (your bureau data, scorecard and integrations) are quoted. See pricing. The platform is live in minutes, with set-up support for lending integrations, not the quarters an enterprise rollout takes, and you know the number before you talk to anyone.

Focused scope, one platform. Floowed runs the credit case and the decision itself: origination decisioning in lending, and the same runtime on operational decisions elsewhere. We do not run customer engagement, collections, or the rest of the lifecycle, and Floowed returns the decision; it never moves money. It sits above your LMS and core banking as the operations platform for credit decisions: your systems of record stay, they just stop being where the work happens. For a lender whose decisioning need is concrete and bounded, that focus is a feature, not a limitation.

In production at Alon Capital, founder Rene de Jesus puts it plainly: “Floowed reads the documents, runs our credit policy, and surfaces a decision in minutes.”

What feeds the decision is the structural difference

Credit decisioning platforms can look the same at the policy layer. Both run rules. Both have audit trails. Both can ingest a credit score and turn it into a yes, refer, or no. The difference shows up before the decision logic ever runs.

If your applicants send complete, clean files from clean systems, the intake question is uninteresting. The data is structured. You parse it, you decide. Originations from existing customers with digital onboarding often live in that world.

For most real-world lending, that is not the world. The applications include scanned identity documents, handwritten income statements and passbooks, photographed utility bills, partially completed application forms with handwritten corrections, business registrations from a dozen formats, and bank statements that range from a clean digital export to a phone photo of a printed statement with the corner folded over. And something is usually still missing: a payslip, a co-borrower's income, an employer's confirmation. That is the input pipeline.

Floowed takes all of that as one case. Your systems, the bureau report and the documents are three lanes into the same decision; the documents are read and analyzed in whatever state they arrive, and where a figure will not reconcile we surface it rather than healing the number. What is missing is chased until it comes back, and the checks that depended on it run again. Only then does the policy engine run your policy. No separate document vendor procurement, no integration work, no second contract. Provenir ships agentic document extraction and widens file coverage through marketplace partners. Neither is described as carrying an incomplete application, with a photographed passbook in it, to a decision. If that is your operational bottleneck, test it directly: send both platforms the same half-complete file and watch what the case does while it waits. Carrying that case is a structural choice Floowed made on day one. For a deeper read, see bank statement analysis software.

What does Provenir actually cost?

Provenir publishes no pricing. Neither do the review platforms: G2 and Capterra both list the platform as a custom subscription, contact-sales only, so buyers typically learn real numbers only weeks into a sales cycle. Industry reputation puts the floor around $100,000 per year on the platform fee, with a usage-based component on top, and serious deployments land well above that once data and integration costs are counted. Provenir also offers Decisioning-as-a-Service for buyers who do not want to run the platform in-house, priced per decision at custom rates.

The license is only part of the true cost. Analyst and buyer-guide notes on the enterprise decisioning category put implementations at six to eighteen months with professional services attached. That services line, the consultants who translate your policy into the platform, is often what turns the sticker price into a multiple of itself. Wherever that line runs, it is the implementation tax.

Floowed publishes its price. We charge for credits, the work done on a case, not seats and not models: paid plans start from $100 a month, and custom lending set-ups (your bureau data, scorecard and integrations) are quoted. No months-long procurement to learn the number. You can start free with $80 of credits without talking to anyone first, read the detail on pricing, or talk to us and we'll walk you through a custom lending set-up.

Deployment timeline: minutes vs quarters

Buyer reports put full Provenir deployments at six months and up, typically with Provenir Professional Services involved. Provenir's own figures are faster: it says new use cases can go live "in as little as four weeks", and that SoFi went live within 10 weeks. The services team does discovery, translates the existing credit policy into the platform's flow builder, integrates the data sources from the marketplace, runs user acceptance testing, and trains the team. The recent AI Assistant for natural-language queries is aimed at compressing time-to-value, but procurement, integration, and policy migration still drive the timeline.

Floowed is live in minutes on the platform, with set-up support for lending integrations. The policy engine is the implementation. Credit and risk teams write the first policy directly, without waiting on an integrator. The 40+ integrations in the lending stack, across LMS, bureaus, KYC, and banking, are pre-built. For a lender that needs to ship this quarter, the difference between minutes of set-up and a services project is the one that decides it.

Which problem each platform is built around

Provenir's suite is built around breadth: one vendor across origination, fraud, identity, and collections, with a data marketplace, agentic document extraction, case management and two decades of history on the diligence sheet. It sells that to lenders from start-ups to large banks, and FICO, Experian PowerCurve, GDS Link, and CRIF StrategyOne compete with it for the same deals.

Floowed is built around the application that arrives incomplete. We serve fintechs, NBFCs, multifinance, microfinance, BNPL, rural banks, cooperatives and banks, and what their operations share is the case that arrives in pieces. You need applications taken however they arrive, documents included, held as a long-running asynchronous case while something is missing, chased from the applicant, a system or an agent, and resumed when the answer lands. You need credit and risk teams to operate the policy directly, on a deterministic policy engine, with every version on the record. You need to know what the platform costs before committing, not a custom proposal six weeks into a sales cycle. You need to be live in minutes, not after a services project. And if KYC, fraud, and collections are already covered in your stack, you need the decision in the middle, not the lifecycle around it. That is what Floowed is built for. Not a smaller version of Provenir. A different shape of platform, built around a different problem. For the broader picture, see what a credit decisioning platform is.

Frequently asked questions

Is Provenir available in Southeast Asia?

Yes. Provenir runs its APAC HQ from Singapore at 21 Collyer Quay, has a named MD APAC (Teng Sherng Lim), and has published content covering Indonesia, Malaysia, Singapore, the Philippines, and Australia. Among global decisioning incumbents, Provenir's SEA presence is one of the most developed. The presence runs the same sales-led motion as everywhere else, with long procurement cycles. Floowed, headquartered in Singapore, starts free on published credits and is live in minutes.

How does Provenir's data marketplace compare to Floowed's integrations?

Provenir's Global Data Marketplace lists 120+ pre-integrated data partners (bureaus, fraud, KYC, alt-data), across APAC, EMEA and the Americas. Floowed ships with 40+ integrations in the lending stack across LMS, credit bureaus, KYC, and banking tools, and works over API and MCP in both directions. It calls the bureau under your own agreement, or processes the report you pull, and chases whatever the case is still missing before the policy runs, so coverage of the stack you already run turns into decisions rather than data.

How long does a Provenir deployment take?

Buyer reports put full implementations at six months and up, typically with Provenir Professional Services involved, while Provenir's own site says new use cases can go live in as little as four weeks and that SoFi went live within 10 weeks. Floowed is live in minutes on the platform, with set-up support for lending integrations, not the quarters enterprise rollouts take, and no consulting engagement attached.

Does Provenir support policy editing by credit and risk teams?

Yes. Provenir uses a low-code, drag-and-drop studio with single-click deployment and an in-built AI Assistant, and says business teams modify strategy without IT queues. On Floowed, credit and risk teams edit rules directly, replay a change on past cases before it goes live, and every version runs on the deterministic policy engine. The bigger difference sits before the rule runs: Floowed chases what an application is missing and runs the dependent checks again, so the policy decides on a complete case.

How much does Provenir cost?

Provenir does not publish pricing, and G2 and Capterra list it as a custom subscription only. Industry reputation puts the floor around $100,000 per year on a platform fee plus a usage-based component, before implementation services are counted. Floowed publishes its price: credits for the work done on a case, starting free with $80 of credits, paid from $100 a month, with custom lending set-ups quoted.

How does Floowed's document intelligence differ?

In Floowed, documents are one of three input lanes, alongside your systems and external sources such as bureau reports. Handwritten, scanned and photographed bank statements, payslips and passbooks are read natively, then income normalization, cash-flow analysis, tampering signals and cross-checks against every other source run on top, including a vehicle title against the chassis and plate photos. Provenir lists agentic document extraction and document partners in its marketplace; its published material does not claim handwritten documents or chasing what is missing. When applicants submit photos, scans and half a file, that difference is operational, not theoretical. See also Floowed vs Taktile and Floowed vs Zest AI.

Does Floowed have its own credit scoring model?

No. Floowed is score-agnostic. Bring any score, including CredoLab, Trusting Social, Zest, FICO, Experian, your local bureau, or your internal model, and it is absorbed unchanged. Floowed orchestrates them as inputs to the policy. We orchestrate, we do not compete with scoring vendors, we use them.

How is Floowed built underneath?

Floowed is built on an AI-native, multi-agent runtime, with a hard line between the work and the call. Agents gather the evidence, read the documents and process the bureau report, and when something is missing the application waits as a long-running asynchronous case until the answer arrives. No single model is built in: the runtime routes between open-weight and frontier models on cost, latency and data residency. The call belongs to the deterministic policy engine running your versioned credit policy with a full audit trail. Floowed sits above your LMS and core banking as the operations platform for credit decisions, callable over API or MCP.

The bottom line

Provenir is the most credible global decisioning incumbent, and for a lender that wants one vendor across the full credit lifecycle it is a real offer.

The comparison turns on who carries the application while it is incomplete. Provenir extracts the documents and routes exceptions to case management; Floowed holds the case while it waits, chases the missing piece from the applicant, a system or an agent, runs the dependent checks again when it lands, and only then lets a deterministic policy engine decide. Around that sit three more differences, each in Floowed's favor for this reader: a published price against a reported six-figure floor, minutes to go live against a services-supported rollout, and the decision layer your stack is missing rather than a lifecycle platform around the pieces you already run.

Floowed solves a concrete, bounded problem for the lender that needs to grow the loan book this quarter without growing risk, on applications that arrive incomplete and in whatever state applicants send them, with credit and risk teams who edit the policy directly, at a published price the budget can absorb. If that is your operational reality, run the same half-complete application through both and compare what each does while it waits. A platform that gathers the case, chases what is missing and decides on a deterministic policy engine is built for exactly that test.

See it on your own applications

If you are evaluating credit decisioning platforms, the fastest way to decide is to run your own applications through it. We will show you the policy engine, a live policy edit, and a real application chased to decision-ready. Start free, or talk to us.