Related group exposure
Borrowers linked by ownership and their exposure totalled in one view.

Exposure spread across three systems is exposure nobody can total before money moves. Agnotic Technologies builds limit and collateral management software that adds every facility up to the related group, checks it against approved and legal limits, and keeps collateral values, liens and covenants current.
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Limit and collateral management software keeps a lender's credit exposure inside approved limits and its collateral current. Agnotic Technologies builds it as a services engagement: a limit hierarchy from facility to related group, legal lending limit checks, a collateral register with valuations and haircuts, lien tracking, revaluation and covenant monitoring, and alerts before a breach.
Credit policy is usually clear. The gaps are in the data and the timing of the checks.
Loans to companies under common control sit under different customer numbers, so the group exposure is never added up.
The legal lending limit is checked at approval, but not again when a line is drawn months later.
Collateral values come from an appraisal or statement that is two quarters old, and nobody is told when it goes stale.
A financing statement lapses because the continuation date lived in a paralegal's calendar.
Haircuts and eligibility rules are applied by hand in a spreadsheet, differently by each analyst.
Covenant certificates arrive by email and are read late, so a breach is found at the annual review.
Our original element for this page: the limit hierarchy we build, from the single facility up to the legal lending limit. Each level names what counts toward it, where the data comes from and the action the software takes. Thresholds and approvers come from your credit policy.
| Limit level | What counts toward it | Data source | Action on breach |
|---|---|---|---|
| Facility | Outstanding balance, undrawn commitment and pending drawdowns on one facility | Loan servicing system | Block the drawdown and route it to the relationship manager |
| Obligor | All facilities, guarantees and derivative exposure to one borrower | Servicing, trade finance and treasury systems | Hold new credit until a credit officer approves an exception |
| Related group | Exposure to borrowers tied by common control, direct benefit or financial interdependence | Ownership and group data held in the limit system | Flag for review and recalculate group headroom |
| Industry or country | Total exposure to one sector or one country of risk | Classification codes on each obligor | Report to the portfolio committee and require approval above the cap |
| Collateral-based limit | Loan balance against eligible collateral value after haircuts | Collateral register and valuation feeds | Margin call or cure task, with a deadline tracked to closure |
| Legal lending limit | Loans to one borrower, after combination rules, against capital and surplus | Limit engine with the capital figure from finance | Hard stop; only a documented exception path your counsel has approved |
Three design rules carry most of the weight on these builds.
Drawdowns, new guarantees, collateral revaluations and changes in group structure all trigger a fresh check, so headroom is current when it matters.
Limit levels, haircuts, eligibility rules and approvers live in versioned tables your credit team owns, so a policy change is a reviewed edit, not a code release.
An approved breach stores the approver, the reason, the expiry date and the cure plan, and comes back to the approver when it expires.
We build exposure, limits and collateral. Risk-based pricing and expected loss maths are covered on our commercial loan pricing software page, and payment processing on our loan servicing software page.
Facility, obligor, related group, sector and country limits held in one tree, each with its owner and approval history.
Balances, commitments and contingent exposure collected from each source system and totalled up the hierarchy.
Loans to one borrower combined under your charter's rules and checked against the current capital and surplus figure.
Each asset with its type, owner, location, value, valuation date and the facilities it secures.
Rules from your credit policy applied the same way every time, with the rule version stored against each result.
Financing statements, filing offices, lapse dates and continuation windows, with tasks raised before a filing lapses.
Valuations due by asset type, borrowing base certificates and covenant tests, with alerts when a value or test goes stale or fails.
Holds, approvals, cure tasks and expiry reminders, logged from the first alert to closure.
The path a drawdown request takes before the funds move. Each step is logged with the data it used.
The servicing or online banking system sends the drawdown with facility, amount and value date.
Current balances, commitments and pending items are pulled for the obligor and every member of its group.
Eligible collateral is taken at its latest value after haircuts; stale values are flagged rather than used silently.
Facility, obligor, group, concentration and legal lending limits are checked in order, and the first breach stops the chain.
Approve, hold for approval or reject, with the headroom left at each level and the reason, sent back to the calling system.
Chosen so every check can be replayed later with the same inputs.
The views we build for credit officers and the portfolio committee.
By obligor, group and concentration bucket.
Within the warning band your policy sets.
Financing statements inside their continuation window.
Collateral whose value is older than its revaluation rule allows.
First releases we scope, each one checkable against a real portfolio.
Borrowers linked by ownership and their exposure totalled in one view.
Loans to one borrower combined and checked at every drawdown.
One register replacing spreadsheets, with valuation due dates.
Financing statements loaded with lapse dates and continuation tasks.
Borrowing base certificates and covenant tests read and tested on arrival.
A fintech or specialty lender's first limit engine and register, sized for one product and ready for more.
It reads exposure from these systems and answers their limit checks.
We build the collateral register around these fields, because a breach review or an examiner's question usually starts with one asset and works outward.
We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.
Verified controls for security, availability, and confidentiality of enterprise data systems.
Adhering to the international gold standard for managing information security risks.
We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.
We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.
Our architectures are built to handle massive data loads and user bases, keeping performance steady whether you're serving ten or ten million.
Using our suite of internal tools and proven frameworks, we cut setup work so your first release reaches users sooner.
Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.
We start with one portfolio and the limit levels that matter most. We agree a fixed first release on the scoping call.
Charter, limit policy, collateral types, revaluation sources and the systems that hold exposure.
Limit levels, combination rules, haircuts and approvers written as tables your credit team signs off.
Exposure aggregation and limit checks live for one portfolio, run in parallel with current reports.
The register, revaluation schedule and lien tracking added on the same data model.
New limits, rules and feeds handled under agreed change control.
Short facts we design around, each linked to its primary source. 12 CFR Part 32 applies to national banks and federal savings associations; state-chartered lenders follow their own limit rules, and Article 9 is adopted state by state, so your counsel confirms what applies.
A national bank's or savings association's total outstanding loans to one borrower may not exceed 15 percent of capital and surplus, plus an added 10 percent if the excess is fully secured by readily marketable collateral that is perfected and has a current market value at all times of at least 100 percent of that excess.
Source: 12 CFR 32.3(a) (eCFR)Loans to separate borrowers are aggregated as a common enterprise when the borrowers are related through common control and substantial financial interdependence exists, which is deemed to exist when 50 percent or more of one borrower's gross receipts or gross expenditures come from transactions with the other.
Source: 12 CFR 32.5(c)(2) (eCFR)A loan within the legal lending limit when made becomes nonconforming, not a violation, if collateral relied on for a lending limit exception declines in value, and the bank must bring it back into conformity within 30 calendar days unless extraordinary circumstances prevent it.
Source: 12 CFR 32.6(a)(2) and (c) (eCFR)Uniform Commercial Code Article 9 governs secured transactions, meaning credit secured by personal property, and each state maintains an office for filing financing statements that publicly disclose security interests.
Source: Uniform Law Commission, Uniform Commercial Code, Article 9, Secured TransactionsWe don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

“I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly.”
Aaron Phelan
Founder, Benchmark

“Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective.”
John Pasmore
Founder, Latimer
“Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together.”
Kim Smith
Founder, My Lauren
This page covers limits, exposure and collateral. These pages cover the lending work around them.
Risk-based pricing and the expected loss inputs collateral feeds.
Payments, statements and payoff after the loan funds.
Applications, underwriting and approval before the facility exists.
Scoring models and the data behind each credit decision.
Portfolio reporting across originations, performance and risk.
Explore other production-grade engineering platforms we deliver across financial services.
The technical patterns behind this platform translate naturally into adjacent verticals.