Built Technologies vs JurisTech (2026)
Geography and asset class separate these two before any grade does, so the useful comparison is what each automates and who carries its errors. Built automates the release of money against physical work: its Draw Agent reads the loan agreement, budget, inspections and the lender's own procedures, and the lender picks one of three published automation levels, which is the clearest oversight design in this pairing and the reason for its A on autonomy. JurisTech automates the treatment of people in arrears across half a national banking market, and its most distinctive output is restraint: a prediction of which delinquent accounts will cure themselves, so the institution can leave those borrowers alone, inverting a category whose models usually decide how hard to push. Each carries an unaddressed party. Built's is the contractor whose draw a model holds, stopping a build with no route to contest it, and its own published accuracy implies roughly five hundred errors across half a million tasks. JurisTech's is the borrower assigned to a treatment track by behavioural scoring nobody audits. Both grade C on liability, and neither error reaches its vendor.
- Construction lending is the business, not a use case. Built runs loan administration, draw and budget management, inspections, compliance monitoring, lien waivers and payments in one system connecting lender, borrower, builder and inspector, and it holds A on operational and outcome evidence and A on core systems and integration depth.
- You want to choose how much the agent decides. The AI Draw Agent reviews draw requests against the loan agreement, budget, inspection reports, historical draws and the lender's own procedures, and the lender selects among three published automation levels from recommendation only through to full execution with exception flagging. Publishing the levels and handing the choice to the buyer is why Built holds A on autonomy and oversight.
- An endorsement with a review process behind it matters to your board. Built carries the national banking trade association's endorsement, which involves a formal review and carries weight with the community and regional institutions that make up its base.
- You are lending across a fast growing Asian market. JurisTech supplies enterprise lending software to more than half the banks operating in Malaysia, covering onboarding, origination, decisioning, credit administration, early warning and collections, integrated with both the central bank's credit registry and the private bureau, and expanding into Indonesia and the Philippines.
- Collections should know whom to leave alone. The platform predicts which delinquent accounts will self cure without intervention, which is a direct reduction in unnecessary pressure on people in temporary difficulty and inverts the usual logic of the category, where models decide how hard to push rather than whom not to push at all. It is why JurisTech holds B on AI governance and bias disclosure.
- You want strategies tested against each other rather than asserted. Champion challenger testing lets an institution compare collection strategies in production, and JurisTech holds B on model risk management where Built also holds B, with the wider lending lifecycle behind it.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Built Technologies and JurisTech are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Built Technologies | JurisTech | |
|---|---|---|
| Primary category | Lending & Banking Operations | Lending & Banking Operations |
| Founded | 2014 | 1997 |
| Headquarters | Nashville, Tennessee, United States | Kuala Lumpur, Malaysia |
| Website | getbuilt.com | juristech.net |
Side by Side
| Axis | B Built Technologies |
J JurisTech |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Built Technologies
Built Technologies runs construction and real estate finance operations for banks, credit unions and private credit lenders, covering loan administration, draw and budget management, inspections, compliance monitoring, lien waivers and payments in one system connecting the lender, borrower, builder and inspector. Its AI Draw Agent reviews draw requests against the loan agreement, budget, inspection reports, historical draws and each lender's own procedures, with the lender choosing among three published automation levels from recommendation only through to full execution with exception flagging. The AI FinTech Index grades it A on operational and outcome evidence, autonomy and oversight and core systems and integration depth, with B on AI centrality, institution coverage, AI safety, regulatory status, model risk management and model supply chain disclosure, documenting four of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. It carries the national banking trade association's endorsement. Commercial transparency, GLBA posture, governance and bias disclosure, deployment residency, security certifications and liability and recourse are graded C.
Source: AI FinTech Index, 2026
JurisTech
JurisTech supplies enterprise lending software to more than half the banks operating in Malaysia, covering digital onboarding, loan origination, credit decisioning, credit administration, early warning and debt collection, and is expanding into Indonesia and the Philippines among multi finance companies, leasing firms, digital banks and government backed lenders. Its collections product predicts which delinquent accounts will self cure and which are heading toward non performing status, using behavioural scoring with champion challenger testing so institutions can compare strategies, and it integrates with both the central bank's credit registry and the private bureau. The AI FinTech Index grades it A on operational and outcome evidence, with B on AI centrality, institution coverage, autonomy and oversight, regulatory status, AI governance and bias disclosure, model risk management, integration depth and model supply chain disclosure, documenting five of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. Its governance grade rests on the self cure prediction that lets institutions leave recovering borrowers alone. Commercial transparency, GLBA posture, AI safety, deployment residency, security certifications and liability and recourse are graded C.
Source: AI FinTech Index, 2026
Common questions
Is Built Technologies better than JurisTech?
They serve different lending entirely. Built runs construction and real estate finance operations for American banks, credit unions and private credit lenders, with an agent reviewing draw requests under lender chosen automation levels. JurisTech supplies the lending stack, origination through collections, to more than half of Malaysia's banks with expansion into Indonesia and the Philippines. The AI FinTech Index grades JurisTech at five of the nine regulatory axes and Built at four. Geography and asset class decide this before any grade does.
Which one lets me control what the AI decides?
Built, and it is the clearest oversight design in this pairing. The lender chooses among three published automation levels for the Draw Agent, from recommendation only, through supervised operation, to full execution with exception flagging, so the degree of autonomy is a documented buyer decision rather than a vendor default. That earns A on autonomy and oversight. JurisTech grades B: institutions control collection strategy and can run champion challenger comparisons, which is real control over treatment design, and no equivalent published ladder governs how much the models decide alone. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Do either of these actually protect the borrower?
JurisTech's self cure prediction is the single most consumer protective capability in this pairing: it identifies delinquent borrowers who will resolve arrears without intervention so the institution can leave them alone, reducing unnecessary pressure on people in temporary difficulty. The qualification is that the same behavioural scoring assigns everyone else to treatment tracks, and no fairness testing or track assignment audit is published, so whom the model chooses to press remains unexamined. Built's equivalent question is about the builder rather than a consumer: a wrongly held draw stops a project and costs a contractor who has no route to contest it. Ask JurisTech for outcome analysis by track and Built for error rates by project type. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How does the AI FinTech Index grade Built Technologies and JurisTech?
Both are graded on the same fifteen capability axes, with every grade traceable to the public artifact it was read from and the date it was verified, and the index publishes no composite score. JurisTech documents five of the nine regulatory axes at A or B and Built four, against an index average of 2.93 across 489 vendors. Built holds A on operational evidence, autonomy and oversight and core systems integration, with B on AI centrality, institution coverage, AI safety, regulatory status, model risk and supply chain, and C on commercial transparency, GLBA posture, governance and bias, deployment residency, security certifications and liability. JurisTech holds A on operational and outcome evidence, with B on AI centrality, institution coverage, autonomy, regulatory status, governance and bias, model risk, integration depth and supply chain, and C on commercial transparency, GLBA posture, AI safety, deployment residency, security certifications and liability.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Credit Decisioning & Underwriting page.
The parties carrying each product's errors are different people and neither has a route, which is the substance beneath two otherwise routine C grades on liability. Built's exposed party is the builder. Its published accuracy is high and the arithmetic still matters: 99.9 percent across half a million tasks implies roughly five hundred errors, and in draw funding an error either releases money against work not completed or withholds money from a project on schedule, stopping a build and costing a contractor directly.
The builder whose draw is held or reduced is not the customer, does not see the policy applied and has no described route to contest the outcome, and nothing breaks error rates down by document type, project type or lender. JurisTech's exposed party is the borrower in arrears.
A self cure prediction that proves wrong means unnecessary contact, an early warning flag can tighten terms before any default occurs, and a delinquency track assignment determines how a person is treated, with nothing stating whether reasons are given, how bureau data errors are corrected, or how a borrower contests the classification driving their treatment.
JurisTech's self cure capability deserves its grade and its limit together: leaving people alone is a genuinely consumer protective output, behavioural scoring still segments people into treatment tracks, and no fairness testing, outcome analysis or track assignment audit is published.
Both vendors grade C on deployment residency, security certifications and commercial transparency, and JurisTech's expansion into two further jurisdictions brings regimes its published material does not yet name.