Floowed vs Provenir: Loan Decisioning for SEA Lenders

Provenir is the 30-year credit decisioning incumbent: APAC HQ in Singapore, 120+ partner data marketplace, tier-1 bank logos including BBVA, SoFi, and Ryt Bank, six-figure annual floor, six-month-plus implementation. Floowed is the loan decisioning platform built around two products: Document Intelligence that reads and analyses any loan document at any quality into clean, decision-ready data, and a Decisioning Engine that runs your credit policy on that data, every application, every time, with the rules behind each call. Plain-English policy authoring credit and risk teams operate directly, consumption-based credit pricing sized on one short call, same-week activation. If you are a tier-one bank with a procurement runway, Provenir belongs on your shortlist. If you are a fintech, NBFC, multifinance, BNPL, microfinance, rural bank, cooperative, or mid-market lender anywhere in the world, this comparison is built for you, and Floowed is the answer.

The short answer

Provenir and Floowed both sit in the credit decisioning category but they sell to opposite ends of it. Provenir is enterprise sales-led, six-figure annual minimum, six-month-plus deployment with Provenir Professional Services involved, full-lifecycle scope across credit, fraud, identity, collections, and customer engagement. The buyer is a tier-1 bank or scaled fintech with a CRO, a procurement committee, and a multi-quarter runway. Floowed is product-led, consumption-based credit pricing sized on one short call, same-week activation, no professional services attached, focused on origination decisioning for the lenders Provenir's six-figure floor cannot reach: fintechs, NBFCs, multifinance lenders, microfinance, BNPL, rural banks, cooperatives, and mid-market lenders across the full lending spectrum. We do not chase Provenir's tier-1 deal. They do not chase ours. 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 on the shortlist

If you are a tier-1 bank or a scaled fintech with a six-figure software budget and a multi-quarter implementation runway, Provenir belongs on your shortlist alongside FICO Originations Manager, Experian PowerCurve, GDS Link, and CRIF StrategyOne. The reasons are factual and we will not pretend otherwise.

Provenir has been in market since 1992. Named tier-1 customers include BBVA, SoFi, and tbi bank. The Global Data Marketplace lists 120+ pre-integrated data partners across bureaus, fraud, KYC, and alternative data, weighted toward EU and US coverage. The Decision Intelligence Platform (Feb 2026) added an embedded multi-LLM hub with OpenAI, Anthropic, and AWS Bedrock private instances, plus an AI Assistant for natural-language queries and an extended model management layer. Scope spans the full lifecycle: origination, fraud, identity, collections, customer engagement. For a CRO at a regulated tier-1 bank who wants one vendor across the lifecycle and 30+ years of vendor history on the diligence sheet, that combination is the buying motion.

None of those facts make Provenir the right answer for the buyer this comparison is for. They make Provenir the right answer for a tier-1 bank, which is a different buyer, on a different timeline, with a different budget. The rest of this piece explains why.

Provenir in Southeast Asia

Provenir has more SEA presence than any other global decisioning incumbent. APAC HQ at Marina Bay Financial Centre Tower 2 in Singapore, John Warren as GM APAC, published content addressing Indonesia, Malaysia, Singapore, the Philippines (citing the 65% unbanked stat), and Australia. Ryt Bank in Malaysia is a named SEA customer. We name those facts because any prospect doing serious diligence will find them, and a vague comparison damages the conversation.

The presence is real. The fit is not universal. Provenir's regional offices call on the same tier-1 and tier-2 bank segment they call on globally. Same six-figure floor. Same six-month-plus implementation. Same full-lifecycle bundle. If you are a regulated tier-1 bank with a CRO and a procurement runway, you will see Provenir in the room and that is appropriate. We do not pretend to compete for that deal.

If you are not that buyer, a local office is a distraction, not a feature. 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: none of those is going to be a Provenir customer regardless of whether the office is local. The platform is built for a different buyer at a different price point on a different timeline, and Provenir's enterprise team is appropriately not chasing the lenders below the tier-1 ceiling. That segment is exactly Floowed's wedge: larger than tier-one, more poorly served, faster-growing, and the segment where document quality is worst and same-week activation matters most.

Where the enterprise model breaks for everyone below tier-one

The Provenir buying motion is built for a tier-1 buyer with a procurement committee. For everyone else, four things break.

The six-figure floor closes the door. A fintech doing $30 million in annual originations does not have a six-figure software budget for a single decisioning platform. A multifinance lender doing $100 million does not have one either, because that lender is also paying for its LMS, its KYC vendor, its bureau access, its core banking, and its analytics stack. By the time decisioning gets a budget line, six figures is two to five years away. Provenir's pricing is not a rounding error to negotiate. It is the structural floor that defines who they sell to.

Six-month-plus implementation is the wrong project shape. Provenir engagements run with Provenir Professional Services involved: discovery, policy translation, integration, user acceptance testing, training. Six months is a fast Provenir deployment. For a tier-1 bank, that is fine because the procurement cycle was longer than that anyway. For a fintech that needs to launch a new product this quarter, multi-quarter implementation is fatal.

Document intake assumes digital input. Provenir's recently launched embedded LLM document review is real, and for clean digital PDFs it works. Real-world loan applicants do not deliver clean digital PDFs. They deliver photos of payslips taken on a phone, scans of bank statements with the corner folded, handwritten passbooks and income declarations, partially redacted IDs, and business registrations from a dozen jurisdictions in a dozen formats. Provenir's review layer was built for the data shapes a tier-1 bank's onboarding pipeline produces: structured, digital, machine-readable. The same gap shows up in US-built IDPs like Ocrolus, Rossum, and Hyperscience, which optimised for pristine US documents. For a buyer whose actual operational pain is reading and analysing what applicants send, that gap is operational, not theoretical.

The full-lifecycle bundle is the wrong shape. Provenir sells decisioning across credit, fraud, identity, collections, and customer engagement under one platform. For a tier-1 bank that wants one vendor across the lifecycle, that bundle is the value. For a mid-market lender that already has KYC and AML covered by a specialist vendor at a fraction of the bundle price, already has a collections process running on its LMS, and just needs the decisioning layer in the middle of an existing stack, paying for the full bundle to get the decisioning component is the wrong economics.

Where Floowed is built to win

Floowed is two products on one platform, each anchored to the buyer Provenir's model cannot economically serve.

Document Intelligence that reads and analyses whatever applicants actually send. Floowed does not just extract or OCR. It reads and analyses handwritten passbooks and payslips, photographed and skewed bank statements, scanned business registrations, partially completed application forms with handwritten corrections, utility bills, and identity documents from anywhere in the world. Same accuracy across input quality. Beyond extraction it runs income normalization, cash-flow and bank-statement analysis (ADB, DSCR), fraud and tampering signals, and cross-document validation, so the output is clean, decision-ready data the Decisioning Engine acts on directly. This is the headline product: Floowed reads and analyses the paperwork other IDPs choke on. US-built IDPs (Ocrolus, Rossum, Hyperscience) were tuned for pristine documents; on real-world loan paperwork they fall short. If document quality is the operational bottleneck in your portfolio (and in real-world lending, it is) this is the structural difference that separates Floowed from every global incumbent.

Evidence cross-check on the documents themselves. Floowed cross-checks what a document claims against the evidence in the image: the text on a vehicle title against the chassis photo, an ID against the selfie, a utility bill against the meter photo, an invoice against the delivery photo. That is a fraud surface pure extraction and OCR tools miss entirely, and it matters wherever IDs, KYC, auto or secured lending, and mortgage documents enter the flow.

Credit and risk teams operate the policy, with no consultant in the loop. The Decisioning Engine is a plain-English policy editor designed to be operated by the people who actually own the credit policy. Risk teams author the policy; the credit officer runs it day to day. Rules are written in plain English. If the salary is below $1,500 and the requested amount is above $5,000 and the applicant has been employed less than six months, send to manual review. The team ships that change directly. Versioning, rollback, and per-decision audit trail are automatic, with the rules behind each call exposed for audit. There is no Floowed services team translating the policy into the platform's internal language because there is no internal language to translate into. Compare that to a drag-and-drop flow builder that still presumes a risk analyst is in the seat, and to a multi-month services engagement to migrate the existing policy into the platform.

Score-agnostic by design. Floowed does not sell a scoring model and does not bundle a model into the decisioning 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 structurally different from a platform that wants to sell you the scoring layer, the data marketplace, the case management, and the customer engagement layer all at once.

Consumption-based pricing and same-week activation. Pricing is consumption-based on credits, sized to your operation on one short call, not a months-long sales cycle, and it lands well under the large enterprise platforms with their long, complicated buying processes. You can start free, with a few credits and ready-to-run preset workflows. The first policy is live in weeks, not quarters. No sales call to see the platform. A lender that is priced out of Provenir's six-figure floor is not priced out of Floowed.

One vertical, two products. Floowed is a loan decisioning platform. Lending only, origination decisioning. Not insurance, not telecom, not utilities, not customer engagement, not collections, not the full lifecycle. The product roadmap, the partner integrations, the AI work, and the documentation are all tuned to one vertical. For a lender below tier-one 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.”

Document intelligence is the structural difference

Decisioning platforms can in principle 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 clean PDFs from clean systems, the document intake question is uninteresting. The data is structured. You parse it, you decide. Tier-1 bank originations from existing customers with digital onboarding usually live in that world. Most enterprise risk platforms, including Provenir, were built around that assumption, as were the US-built IDPs (Ocrolus, Rossum, Hyperscience) tuned for pristine US paperwork.

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. That is the input pipeline.

Floowed reads and analyses all of that as a first-class product surface. Same accuracy across input quality. It does not stop at extraction: income normalization, cash-flow and bank-statement analysis, fraud and tampering signals, and cross-document validation turn the raw paperwork into clean, decision-ready data the Decisioning Engine acts on. No separate document intelligence vendor procurement, no integration work, no second contract. Provenir's recently launched LLM document-review feature is closing some of the gap on clean inputs, but the architecture still assumes digital onboarding. If document quality is your operational bottleneck, this is not a feature you should expect a 30-year incumbent, or a US-built IDP, to retrofit. It 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. For a tier-1 buyer that budgets in procurement quarters, this is normal. For everyone else, it is the implementation tax.

Floowed prices on consumption-based credits, sized to your operation on one short call, at a fraction of typical enterprise platform cost. No months-long procurement to learn the number. You can start free without talking to anyone first, or book a demo and we'll size the right package with you.

Deployment timeline: same week vs quarters

Provenir deployments run six months and up, typically with Provenir Professional Services involved. 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. For a tier-1 bank, multi-quarter implementation is fine because the procurement cycle was longer than that anyway.

Floowed activates same-week. The Decisioning Engine is the implementation. Credit and risk teams write the first policy directly, in plain English, the same week the trial starts. The 40+ integrations with LMS, bureaus, KYC, and banking are pre-built. The first decision happens in days. For a lender that needs to ship in Q3, the difference between weeks and two halves is the entire decision.

Which buyer should pick which

If you are a tier-1 or tier-2 bank, a scaled fintech with a CRO and a six-figure budget, a regulated lender with a multi-quarter procurement runway, and you want one vendor across origination, fraud, identity, and collections with 30+ years of history on the diligence sheet, Provenir is on your shortlist. So is FICO, Experian PowerCurve, GDS Link, and CRIF StrategyOne. We do not chase that segment.

If you are a fintech, NBFC, multifinance, microfinance, BNPL, rural bank, cooperative, or mid-market lender, the enterprise decisioning model does not fit your buying motion or your operational reality. You need document intelligence that reads and analyses whatever your applicants actually send, not a feature retrofitted onto a platform built for digital onboarding. You need credit and risk teams to operate the policy editor directly, in plain English, not a drag-and-drop flow builder that assumes a risk analyst is in the seat. 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 this quarter, not next year. You probably do not need a full-lifecycle bundle because KYC, fraud, and collections are already covered in your stack at a fraction of the bundle price. That is what Floowed is built for. Not a smaller version of Provenir. A different category of decisioning, built around a different buyer. For the broader picture, see what is loan decisioning.

Frequently asked questions

Is Provenir available in Southeast Asia?

Yes. Provenir runs its APAC HQ from Singapore at Marina Bay Financial Centre Tower 2, has a named GM APAC (John Warren), and has published content covering Indonesia, Malaysia, Singapore, the Philippines, and Australia. Ryt Bank in Malaysia is a named SEA customer. Among global decisioning incumbents, Provenir's SEA presence is the most developed. The presence is calibrated for tier-1 and tier-2 bank deals, not the lenders below the tier-1 ceiling.

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), weighted toward EU and US coverage. Floowed ships with 40+ integrations across LMS, credit bureaus, KYC, and banking tools, scoped to the connectors lenders actually use. Marketplace breadth is a tier-1 buying criterion. Practical local coverage is a Floowed buying criterion. Different shortlists.

How long does a Provenir deployment take?

Industry norm is six months and up, typically with Provenir Professional Services involved. Complex tier-1 implementations run longer. Floowed goes live in weeks, not the quarters tier-1 rollouts take, with no consulting engagement attached.

Does Provenir support plain-English policy editing?

Provenir uses a drag-and-drop flow builder with single-click deploy and a recently added AI Assistant that supports natural-language queries. The product is low-code in the same shape as most enterprise decisioning platforms: built around a risk analyst as the operator. Floowed's Decisioning Engine takes a different approach: credit and risk teams edit rules in plain English, with the credit officer operating day to day.

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 prices on consumption-based credits, sized to your operation on one short call, at a fraction of typical enterprise platform cost.

How does Floowed's document intelligence differ?

Floowed reads and analyses handwritten, scanned, and photographed bank statements, payslips, passbooks, and IDs natively, end-to-end, then runs income normalization, cash-flow analysis, fraud signals, and cross-document validation on top. It even cross-checks what a document claims against the evidence in the image, an ID against a selfie, a vehicle title against the chassis photo. Provenir's recently launched embedded LLM document review, like US-built IDPs (Ocrolus, Rossum, Hyperscience), works for clean digital PDFs. When applicants submit photos and scans, not clean PDFs, the architectural 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.

The bottom line

Provenir is the most credible global decisioning incumbent, with the Singapore APAC HQ, the named GM, the data marketplace, and the tier-1 logos to back the position up. For a tier-1 bank that wants one vendor across the full credit lifecycle and is comfortable with a six-figure floor and a multi-quarter implementation, Provenir is on the shortlist for real reasons. We acknowledge that and we do not chase that buyer.

For the buyer below tier-one, which is the larger market, the worse-served market, and the faster-growing market, the enterprise decisioning model breaks on four structural things: the six-figure floor closes the door, multi-quarter implementation is the wrong project shape, document intake assumes digital input that the buyer does not have, and the full-lifecycle bundle is the wrong economics for a stack that already has KYC and collections covered. Those are not pricing problems to negotiate around. They are structural choices that come from serving a different buyer.

Floowed solves a concrete, bounded problem for the lender that needs to grow the loan book this quarter without growing risk, on the documents applicants actually send, with credit and risk teams who edit the policy directly, at a price the budget can absorb. If that is your operational reality, the right comparison is not which incumbent you should evaluate. The right comparison is whether you should evaluate one at all when a platform built around two products, Document Intelligence and a Decisioning Engine, is built for the buyer you are.

See it on your own loan flow

If you are evaluating loan decisioning platforms, the fastest way to decide is a demo on your own loan flow with your own documents. We will show you the Decisioning Engine, a live policy edit, and document intake on real applications. Start free, or book a demo.