Lending & Banking Operations
B

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, and the lender chooses among three published automation levels from recommendation only through to full execution with exception flagging.

Last VerifiedAugust 10, 2026
Compare Built Technologies with other vendors
Founded
2014
Headquarters
Nashville, Tennessee, United States
Website
getbuilt.com
Categories
lending-and-banking-operations, credit-decisioning
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 9 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

A shipped agent makes the operational decision, and it does the work rather than decorating it. It reads loan agreements, budgets, inspection photos and reports to reach a funding judgment, along with insurance certificates and historical draws. Built reports 500,000 automated tasks completed. Underneath is a construction loan administration platform that ran the market for a decade before the agent existed, and a trade association endorsed it in its pre AI form. Without the agent, that platform survives intact.

Autonomy and Oversight Model
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a person checks it are all published: modes, thresholds, sampling or audit controls, and the route a case takes to human review.
Vendor Published

The customer selects its level from a published autonomy ladder. Audit mode reviews and recommends actions for human approval. Assist mode handles routine steps while staff make the final decisions, and automate mode executes fully once policies are met while flagging exceptions. Each funding action is written to a compliance file, so the documentation exists whichever mode is running.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

The mode ladder doubles as a validation methodology, which is worth naming: a lender can run the agent in audit mode, compare its recommendations against what its own reviewers decided, and only promote it to assist or automate once the comparison satisfies them. That is a practical route to validating a model before relying on it, delivered as product rather than as a document.

Published accuracy carries a denominator, and every funding decision writes a compliance file an examiner can inspect. What remains absent is model documentation, a validation summary, error analysis and any stated position on supporting a lender's formal model risk process.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

Scale is stated at more than 625 banks, private credit lenders, owners and contractors managing over $350 billion of activity annually, and a major national bank is named as a customer with its lending services group manager quoted on record.

The agent's performance is quantified with a denominator rather than as a headline, at 99.9 percent accuracy across more than 500,000 automated tasks, alongside draw review time cut roughly 95 percent to as little as three minutes, two to five times capacity gain and materially more compliance risks surfaced than manual review. A national banking trade association endorsement and mainstream financial press coverage of the agent launch add independent visibility.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

Two disclosures are specific, and one of them raises a question. The agent is described as processing against each lender's own standard operating procedures rather than a generic policy, which scopes behavior to the institution. The model layer partner is named openly. The training basis is also stated, more than $3 trillion of real estate finance data, a specific statement of provenance. It is also the question.

A platform handling $350 billion a year across 625 institutions is the obvious source of a data set that size. Nothing states whether one lender's draw history informs the agent serving another, or whether participation can be declined.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

The consumer privacy surface is limited, because borrowers are typically developers and contractors rather than individuals. That narrows exposure under consumer financial privacy rules without removing it. Residential construction lending reaches individual borrowers, and the platform holds project financials and insurance certificates, plus lien records and payment instructions, across the whole participant chain. No privacy framework, retention schedule or subprocessor list is published.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

There is no public trust center or enumerated certification list, and no attestation scope or audit period is published. The trade association endorsement implies a diligence process was passed, but that is a commercial review rather than a security attestation. A platform executing payments and holding loan documentation for hundreds of banks would have supplied attestations privately, which an outside buyer cannot verify.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Built supplies technology and holds no license, the expected posture. Its strongest external credential is an endorsement from the national banking trade association, which involves a review process and carries weight with the community and regional institutions that make up much of the customer base.

Product scope touches statutory instruments directly, since lien waivers, title and insurance validation are legal artifacts rather than administrative ones, and compliance files are produced per funding action. No supervisory instrument is named as a design target.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Borrowers here are businesses rather than consumers, so demographic fairness is a weaker frame and this reads as error governance. The published accuracy is high and the arithmetic still matters: 99.9 percent across 500,000 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 that is on schedule, stopping a build and costing a contractor directly. Nothing public breaks error rates down by document type, project type or lender, and no analysis addresses whether smaller or less documented borrowers see more exceptions.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

The audit mode gives a lender real protection, since it can watch the agent before trusting it, and the compliance file written for every funding action means a disputed decision can be reconstructed with the documents that informed it. Neither is a commitment. There is no accuracy guarantee, no remediation term and no published obligation where an approved draw releases funds against work that was not completed. The party with least recourse is the builder whose draw is held or reduced, who is not the customer, does not see the policy applied and has no described route to contest the outcome.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

The agentic layer's provider is named publicly through a joint launch announcement, a direct model chain disclosure. The integration partners are individually identified, so a buyer can see which systems exchange data. The training basis is quantified. The rest is not disclosed. No foundation model is named beneath the agent platform, no subprocessor list is published, and nothing states where loan documents and inspection imagery are processed.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

The named integrations are the systems this market runs on, spanning accounting, real estate asset management and construction project management. Data moves between the lender's book, the owner's portfolio and the builder's site records without rekeying. That matters more in construction lending than in most lending, because the participants are separate companies rather than departments, and the platform's core claim is connecting lender, borrower, builder and inspector in one workflow. Payments execution and disbursement routing are handled in the same system, so the decision and the money movement are not split across vendors.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Delivery is cloud hosted software as a service serving domestic lenders and construction participants, so the cross border complexity facing global vendors does not arise. Residency still matters given the content, since loan files, inspection photographs, insurance certificates and payment records are retained for the life of a construction loan and beyond. No hosting regions or tenancy model are published, and neither residency options nor a subprocessor chain is described.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

No rates or tiers are published, and there is no billing unit or minimum. The platform spans lender software and borrower and builder collaboration. It also covers payments execution and diligence services including title, lien monitoring and insurance validation. Scope is therefore the first commercial question. Nothing public indicates whether those are licensed together, charged per loan or per draw, or whether the payment rail carries its own economics.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

On the capital side the coverage is complete for its market, reaching commercial banks, credit unions and private credit lenders, and it extends across the whole transaction to owners, developers, general and specialty contractors, title companies and other vendors, which is what makes the connected workflow possible at all. Commercial real estate asset and portfolio management extends it further into the investor side. The boundary is the vertical: this is construction and real estate finance only, with nothing addressing consumer lending, payments, insurance or capital markets.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Built Technologies, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.

Oct 15, 2026Safety / governance

Built's CLA Draw Agent now lets draw processors and approvers override a blocking finding by choosing a decision and a reason, with an optional comment. The original finding stays visible beside the override rather than turning green, and each override is recorded on the finding with who made it, when and why. Policies the agent judged not to apply to a draw are now listed with its reasoning, so it is clear they were evaluated rather than skipped.

Bears on: Autonomy and Oversight ModelSource
Sep 14, 2026Product / capability

Built's September release for CLA+ adds Automatic Draw Submission in the Sponsored Borrower Portal, which separates, labels and matches borrower documents to lender requirements. It also adds deferred rules, approver groups, finer control over funding notice PDFs, and inspection data inside the draw budget so draws can be checked against verified progress.

Bears on: Core Systems and Integration DepthSource
Aug 10, 2026Product / capability

Built Technologies shipped its Summer 2026 release across its Construction Loan Administration and Deal Management platforms. The update introduces the AI-powered Action Center for automated task generation and financial document extraction, a Pay Application Detail drawer that mirrors the G702 form for automated AIA retainage calculations, multi-stakeholder collaboration controls with four access levels, and new precision fields for analyzing floating rate structures.

Bears on: Core Systems and Integration DepthSource
Our read on these updates →Tracked since Aug 2026
Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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