Floowed vs CRIF StrategyOne: Credit Decisioning Without the Bundle

For lenders who want credit decisioning without the bureau bundle, Floowed is the stronger choice than CRIF StrategyOne: CRIF data plugs in as one input among many, each case is chased to decision-ready, and your credit policy runs on a deterministic policy engine your credit and risk teams control.

CRIF is a Bologna-based credit information group founded in 1988, with six thousand six hundred employees, a presence in thirty-seven countries, and credit bureaus that the group operates directly in many of them. StrategyOne is its decisioning platform, and CRIF positions it on no-code simplicity. The CRIF group has a substantial physical Southeast Asia footprint, with a regional headquarters in Singapore and a presence across the Philippines, Indonesia, Malaysia, Vietnam and Hong Kong.

Floowed runs the whole credit case, from application to decision, and is headquartered in Singapore. Underneath is an AI-native, multi-agent runtime, model-agnostic, routing between open-weight and frontier models on cost, latency and data residency. Three lanes feed each case: your own systems over API, MCP and integrations; the bureaus, CRIF included, called under your own agreement or read from the report you pull, and registries; and documents, read in whatever state they arrive, from handwritten passbooks to a skewed phone snap of a business registration, with income normalized, bank-statement metrics like ADB and DSCR computed, tampering flagged, and figures cross-checked across documents. When a required answer sits in none of the three, Floowed chases the person, system or agent who has it, as a long-running asynchronous case that resumes on the answer. Then the deterministic policy engine runs your credit policy, versioned, with the evidence behind every check, and the decision and its data are written back to your LOS or core. Both platforms run policy logic, and CRIF also sells the process workflow around it. Floowed wins on who carries the application while it is incomplete, and on keeping the decision separate from the bureau.

The short answer

CRIF describes StrategyOne as its enterprise decision management platform, trusted by hundreds of clients in more than twenty countries, with a zero-code designer for business users and an AI assistant. It fits best where a lender already runs on CRIF bureau data and wants one vendor relationship that covers bureau access, decisioning, fraud, and anti-money laundering. CRIF is on a very short list of vendors that operate credit bureaus and a decisioning platform in the same group. For a buying committee that wants those on one contract, the bundle is the entire reason to look at CRIF.

Floowed is the stronger choice if you want the decision separate from the bureau: your credit and risk teams operating the policy directly, with no consulting engagement attached; each application carried while it is incomplete, paper, scans and photos included, and chased until the policy has what it needs; and a price you can see before starting a sales cycle. CRIF is broader as a data company. Floowed is built to run the credit case: gather, read and chase until the file is complete, then decide on a deterministic policy engine your team runs itself, fed by any bureau called under your own agreement, your own systems, and whatever the applicant sends.

Quick comparison

Where CRIF StrategyOne is strong

One thing CRIF has that no pure software vendor can match is bureau ownership: CRIF runs bureaus in many markets and lists credit reporting system projects in 29 countries. If your lender already depends on a CRIF-run bureau in your market, the StrategyOne decisioning platform is the natural one-vendor extension. That is the buyer for whom the bundle works: a lender that wants bureau access, decisioning, fraud, anti-money laundering, debt collection, and originations on one contract. That buying committee compares StrategyOne with GDS Link, Provenir, FICO, and Experian PowerCurve.

StrategyOne also leans hard on no-code, with an AI assistant CRIF describes as performing like a senior analyst and AI agents that turn expert intent into ready-to-execute strategies. On the decision itself it is a strong product. Floowed wins on what happens before the decision can run: the application carried while it is incomplete, the missing piece chased, and the policy your own team runs deciding on it, with CRIF data as one input.

CRIF in the Philippines and Southeast Asia

CRIF has an unusually deep physical Southeast Asia presence for an incumbent decisioning vendor: a regional headquarters in Singapore, a presence across Hong Kong, the Philippines, Indonesia, Malaysia and Vietnam, and the Brankas joint open-banking credit score product (N.E.O.S.) launched in the region. We name those facts clearly because any prospect doing serious diligence will find them.

The presence is real, and a local office does not change the question. The regional offices sell the same StrategyOne platform CRIF sells globally. What decides the fit is the applications a lender receives: across the region a file often arrives as a photographed passbook, a bureau report and a payslip still to come. That is where applications arrive least complete, where carrying the case while it waits matters most, and where going live in minutes, not quarters, pays off first. It is exactly where Floowed leads.

Who carries the application while it is incomplete

This is the difference that sets a lender's cycle time, and CRIF has a real answer to part of it. Its Foundation Framework, a business process management suite that sits next to StrategyOne, automates origination "from data capture to approval and booking, orchestrating manual activities through workflow and document management". StrategyOne then decides. CRIF describes the split itself: decouple business process management from decision management.

So on CRIF the incomplete application moves through workflow steps and manual activities, with document management alongside, across separate CRIF process and decision suites. On Floowed it waits as a long-running asynchronous case. The runtime chases the missing piece from the named person, system or agent, reads the document in whatever state it arrives, normalizes income, runs bank-statement metrics like ADB and DSCR, flags tampering, cross-checks it against the rest of the file, resumes the moment the answer lands, and runs the checks that depended on it again. Then the deterministic policy engine decides. Three more differences follow.

The bundle is the wrong shape for a lender that only needs the decision. A lender that already buys bureau data through a direct API, with KYC and AML covered by a specialist vendor, needs the decisioning layer that sits in the middle of the stack it already has. Buying bureau data, decisioning, fraud, anti-money laundering, debt collection, and originations from one group to get that component is the wrong economics.

The no-code positioning is real, and it arrives inside a group that sells services. StrategyOne is positioned squarely on no-code, and CRIF makes that claim plainly: a zero-code environment for business users to design, modify and test decision logic without coding. Alongside it CRIF points to more than 6,600 professionals available to help with its solutions and services. What a lender should test in the evaluation is which of the two they end up depending on in practice. That is a different operational model from a credit and risk team that logs in, edits a rule, and ships it.

The suite surrounds the decision; the work sits before it. StrategyOne is sold across banking, telecom, utilities, insurance, and retail. Breadth of industry is not the difference between us. The difference is where the engineering goes. Our roadmap, integrations and AI work go into the case that feeds a decision: gathering, reading and chasing the evidence it rests on. They also go into the deterministic policy engine that decides on it, rather than into a suite of adjacent modules around the decision.

Where Floowed is the right answer

Floowed is one platform, and each of its structural choices reflects a deliberate trade-off, not a coincidence.

The credit and risk teams operate the policy, with no consultant in the loop. The policy engine is a policy editor designed to be operated by the people who own the credit policy. Credit teams run it day to day; risk teams author and govern it. Each rule holds one condition and the policy combines them: salary below one thousand five hundred dollars, requested amount above five thousand, employed less than six months, and when all three hold, the application goes to manual review. The team writes that rule directly, without waiting on an integrator. Versioning, rollback, and per-decision audit trail are automatic, with the rules behind every call captured for audit. No consulting engagement translates the policy into a proprietary language, because there is no proprietary language to translate into. It is a deterministic policy engine, versioned, and a rule change can be replayed on past cases, against your historical book and its real outcomes, before it goes live. Your team also chooses how much it decides on its own: every case, only the routine ones, or none.

The case, however it arrives. Floowed takes each application in from three lanes: your systems over API and integrations, CRIF or any other bureau, called under your own agreement or read from the report you pull, and the documents the applicant sends, from handwritten payslips, photographed bank statements and scanned business registrations to partial application forms with handwritten corrections, utility bills, and identity documents from a dozen jurisdictions. It analyzes them: income normalized across formats, cash-flow and bank-statement metrics like ADB and DSCR computed, tampering signals surfaced. When something is missing, the application waits as a long-running asynchronous case while Floowed chases the named person, system or agent, and resumes on the answer. The output is a decision-ready case the policy engine acts on directly, with the decision and its data written back to your LOS or core. This is built in, not a partnership and not a separate module.

Evidence cross-check, wired into the decision. CRIF's onboarding suite matches an ID to a live selfie and screens for deepfakes. In Floowed, identity verification runs through the KYC provider you connect, and its result lands in the case as one more input. What Floowed adds is a check across the whole file: the income on a payslip against the credits on a bank statement, one page's balance against the next, edited values and inconsistent fonts flagged as tampering, a vehicle title or ORCR against the chassis and plate photos on secured and auto loans. Each result lands as a variable the credit policy acts on. That is a fraud surface pure extraction and OCR tools miss, because they read the claim and never test it against the rest of the file.

Score-agnostic by design. Floowed does not sell a scoring model. Bring any score, or your own model, absorbed unchanged: CRIF, Experian, Equifax, TransUnion, FICO, Zest, CredoLab, Trusting Social, your local bureau, or a combination. Use whichever score is right for your portfolio. Floowed orchestrates them as inputs to the decisioning policy. We do not compete with scoring vendors and we do not compete with bureaus. We use them.

Credit-based pricing, live in minutes. Floowed charges for credits, the work done on a case, at a cent a credit, with no per-seat charge. Start free with $80 of credits, no card, no sales call. Paid plans start at $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.

This is already 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."

The bureau-data question

This is the most important difference between CRIF StrategyOne and Floowed, and it is worth being precise. CRIF lists credit reporting system projects in 29 countries and runs bureaus in many of them. If your lender depends on CRIF bureau data in your market, you are a CRIF group customer for the data layer, and that is not changing. The question is whether the decisioning platform that sits on top of that data should also be CRIF.

Three reasons the decisioning platform does not have to be the same vendor as the bureau.

First, bureau data is one input among many. In modern lending, the credit decision combines bureau data with bank statement analysis, internal application history, mobile signals, alternative scores, KYC results, and the documentary evidence the applicant provides. Bureau data alone is not the decision. Choosing the decisioning platform on the basis of bureau bundling means optimizing the decisioning layer for the smallest input.

Second, bureau access is an integration, not a platform choice. CRIF, Experian, Equifax and TransUnion all give lenders access under their own agreements. Floowed calls the bureau under your agreement, or processes the report you pull, so CRIF data can feed a Floowed policy directly. There is no technical reason the decision layer has to be the bureau's own.

Third, the cost of bundling decisioning into the bureau contract is usually opaque. The bureau pricing is per-query and known. The decisioning component is bundled in a way that makes per-decision cost hard to extract. Pricing the decision separately, on consumption, makes the effective cost per decision visible, and a visible cost is one a lender can manage, even with the same bureau-data spend.

The clean architecture is bureau where the bureau wins and decisioning where the decisioning wins. CRIF is built for the bundle. Floowed is built for the clean split: CRIF data called under your own agreement, decided on a policy your own team runs.

What happens before the policy runs is the structural difference

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 applications arrive complete, from clean systems, the intake question is uninteresting: you parse it, you decide. Most applications do not arrive that way. The applications that come in to a typical lender include scanned identity documents, handwritten income statements, photographed utility bills, partially completed application forms with handwritten corrections, business registrations from a dozen different formats, and bank statements that range from a clean digital export to a phone photo of a printed statement with the corner folded over, plus a guarantor's answer and a missing month of statements that have not arrived yet. That is the input pipeline.

Floowed takes all of that into one case, with CRIF bureau data arriving in the same case as everything else. It does not stop at extraction: it normalizes income, computes bank-statement metrics like ADB and DSCR, flags tampering, and cross-checks each document against the others. What has not arrived is chased from whoever holds it, and the case resumes when it lands. Only then does the policy engine decide. No separate document intelligence vendor procurement, no integration work, no second contract. If you go with a platform that treats document intake as a separate module or a partnership, you are signing two contracts and integrating two vendors. Floowed handles it inside the same platform, not as an add-on. For the deeper mechanics of the document lane, see our guide to bank statement analysis software.

What does CRIF StrategyOne actually cost?

CRIF publishes no pricing for StrategyOne, and neither do the review platforms: G2 lists no pricing data at all. The quote depends on volume, products, geographies, models, integrations, and which CRIF bureau markets you are in, so buyers report only learning real numbers deep into a sales cycle, often with bureau-data bundling attached to the proposal.

The platform fee is also not the whole bill. CRIF offers setup, training, and configuration through its own consulting professionals, so budget for a professional-services engagement alongside the license. Analyst and buyer-guide notes on the incumbent decisioning class put implementations at six to eighteen months, with licensing running into six figures annually and the services line on top. Reasonable for a buyer in a CRIF bureau market who wants the whole bundle; hard to justify for a lender that only needs the decision layer.

Floowed gets you to a real number fast, because it is published on the pricing page: credits for the work done on a case, at a cent a credit, with no per-seat charge and every integration included. Start free with $80 of credits; paid plans start at $100 a month. Custom lending set-ups, built with you around your bureau data and scorecard, are quoted, at a fraction of typical enterprise platform cost. You can start free without a card or a sales call, or talk to us.

Deployment timeline: minutes vs quarters

The third structural difference is time to first decision. Enterprise originations platforms are sold with implementation services. The services partner does discovery, translates the existing credit policy into the platform's policy language, integrates the data sources, runs user acceptance testing, and trains the team. Quarters, sometimes more than a year. CRIF's own marketing for StrategyOne offers consultancy, setup, training, configuration, and ongoing support alongside it.

Floowed is sold without a consulting engagement. The policy engine is the implementation. The credit and risk team writes 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. The platform is live in minutes, with set-up support for lending integrations, so the first decision runs on your timeline, not an integrator's. For a lender whose procurement cycle runs longer than the build, multi-quarter implementation is fine. For a lender launching a product this quarter, it is the difference between deploying now and deferring the project for another year.

Who each platform is built for

CRIF StrategyOne fits best where a lender already runs on CRIF bureau data and values one-vendor coverage of bureau, decisioning, fraud, anti-money laundering, and debt collection. That buyer will also be looking at GDS Link, Provenir, FICO Originations Solution, and Experian PowerCurve.

If your applications arrive incomplete and you want the decision separate from the bureau, you need each application taken however it arrives, its documents read and cross-checked and its missing pieces chased, before the policy runs. You need your credit and risk teams to operate the policy engine directly, with no consultant in the loop. You need to know what the platform costs before committing. You need to be live this quarter. You probably already have a bureau relationship and you do not need a second one bundled into your decisioning contract. That is what Floowed is built for. Not a smaller version of the enterprise platforms: a platform built around the credit case.

Frequently asked questions

Does Floowed work alongside CRIF bureau data?

Yes. Floowed calls CRIF under your own agreement, or processes the report you pull, the same way it works with Experian, Equifax, TransUnion, the local bureau in your market, or an alternative-data bureau. CRIF data then feeds your credit policy directly as one input. The bureau contract, and the accreditation that comes with it, stays with you. Floowed's decision layer sits on top.

Is Floowed a competitor to CRIF?

Not in the bureau-data layer: CRIF runs credit bureaus, Floowed does not, and CRIF data plugs into Floowed as an input. In the decision layer, yes. StrategyOne suits lenders buying bureau, decisioning and adjacent modules on one contract, particularly where CRIF runs the bureau. Floowed is the stronger choice for lenders who want the decision separately: any bureau, each application carried while it is incomplete, a deterministic policy engine their credit and risk teams run, and live in minutes rather than quarters.

Which parts of Floowed use AI, and which are deterministic?

The work that gets an application to decision-ready runs on an AI-native, multi-agent runtime: agents gather the case from your systems and the bureaus, read the documents, cross-check figures and chase what is missing, routing between open-weight and frontier models on cost, latency and data residency. That work is model-driven and checked, not deterministic. The decision is: the deterministic policy engine runs your versioned credit policy on the evidence, CRIF scores included, and records the evidence behind every check.

Can a CRIF bureau customer use Floowed for decisioning?

Yes, and the architecture is straightforward. The bureau contract stays with the CRIF group. Floowed sits on top, taking CRIF data in alongside any other inputs the policy needs. This separates the bureau-data conversation from the decisioning conversation and lets each be evaluated on its own merits.

Does Floowed have its own credit scoring model?

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

What about regulatory audit requirements?

Every Floowed decision is logged with the policy version, the inputs (including which bureau scores were used), the outputs, and the evidence behind every check. Regulators get a complete, replayable history, and the record is kept to one standard rather than rebuilt for each supervisor you report to.

How does Floowed handle markets where data residency is mandated?

We run on Google Cloud, with data held in Singapore and the United States, and our sub-processors are listed publicly. The runtime routes between models on cost, latency and data residency, so residency is a routing constraint, not an afterthought. If your jurisdiction mandates residency in a region we do not currently hold data in, tell us early in the evaluation so we can be straight with you about whether we can meet it.

How much does CRIF StrategyOne cost?

CRIF does not publish StrategyOne pricing, and G2 lists no pricing data. Quotes are custom, shaped by volume, geography, and bureau-data bundling, and budget for the CRIF consulting on offer for setup, training, and configuration. Floowed publishes its pricing: credits for the work done on a case, starting free with $80 of credits, paid from $100 a month, and custom lending set-ups quoted.

Do I need to migrate off my loan management system to use Floowed?

No. Floowed integrates with the LMS you already run. The policy engine sits between the application intake and the LMS, returning a decision the LMS can act on. Floowed returns the decision; it never moves money. 40+ integrations in the lending stack, across the major LMS, bureau, KYC, and banking platforms, are pre-built.

The bottom line

CRIF is a serious enterprise decisioning vendor that also operates credit bureaus, and for a lender who wants bureau data, decisioning, fraud, and AML from one group, StrategyOne earns its place.

Where the application arrives incomplete, the differences are structural: the case is carried across separate process and decision products, the bundle ties the decision layer to the bureau, the no-code positioning sits beside a professional-services offer, and the engineering goes into the suite around the decision rather than the case that feeds it. Those are not pricing problems. They are choices that come from building the decision layer inside a credit information group.

Floowed made different structural choices: one platform that runs the whole credit case. A deterministic policy engine your credit and risk teams operate directly, with no consulting engagement attached. A runtime that takes each application however it arrives, reads any loan document in whatever state it arrives, cross-checks it against the rest of the file, and chases what is missing. Bring any score, including CRIF, absorbed unchanged. Credit-based pricing, live in minutes. In production at Alon Capital today. If you are evaluating credit decisioning platforms, the right comparison is which platform carries the applications you actually receive all the way to a decision.

Talk to us

If you are evaluating credit decisioning platforms, the fastest way to decide is a demo on your own applications with your own documents. We will show you the policy engine, a live policy edit, and a real application gathered, chased and decided. Start free or talk to us.