The decisions your business runs on, made inspectable.
Credit approvals. Underwriting rules. Prices, eligibility, compliance checks. Leapter turns each one into a Blueprint, the business logic itself, made visual and executable, so the person who owns the rule can read it, test it, and approve exactly what runs. AI helps you build it. No AI when it runs.
Where it fits
Leapter is built for high-stakes business logic: rules with an accountable owner, real consequences, and growing scrutiny. Financial services is where we start. The model carries anywhere rules decide outcomes.
Credit & lending decisions
Industry: Banking & lending
Rule type: Scoring thresholds, risk bands, exposure limits, approve / refer / decline paths
Owned by: Credit-risk leads and credit policy owners
Today the policy lives in documents while the decision lives in code, and every change passes through a translation step the risk team cannot fully check. With Leapter, the scoring logic is a Blueprint the credit-risk lead reads directly: test a proposed cutoff against representative cases, approve the exact version that runs, and trace every decision back to it.
Insurance underwriting
Industry: Insurance
Rule type: Acceptance criteria, exclusions, referral triggers, exception handling
Owned by: Underwriting leads
Underwriting guidelines change more often than the systems that enforce them. Leapter keeps acceptance rules, exclusions, and referral triggers as visual logic the underwriting lead can change and test without a development queue. What underwriting approves is what runs on every submission.
Pricing & discount logic
Industry: Banking, insurance, and B2B commerce
Rule type: Rate factors, fee schedules, discount eligibility, offer criteria
Owned by: Pricing owners and product managers
Pricing rules drift: the sheet says one thing, production does another, and nobody can prove which is right. As a Blueprint, the pricing logic is one inspectable source. The pricing owner adjusts a factor, tests the cases that matter, and can trace any quoted price back to the approved logic that produced it.
KYC & compliance checks
Industry: Banking & payments
Rule type: Screening rules, risk ratings, review triggers, escalation paths
Owned by: Compliance and AML officers
Automated checks face growing scrutiny, and “the system flagged it” is not an explanation. Leapter does not make you compliant, it gives compliance owners evidence: the approved screening logic in readable form, the tests it passed, and a trace of which rules fired on any case.
Eligibility & benefits
Industry: Insurance, public sector, and benefits providers
Rule type: Qualification criteria, entitlement calculations, exception rules
Owned by: Policy and operations owners
Eligibility rules accumulate exceptions until no one can say why an applicant was declined. As a Blueprint, the criteria stay readable as they grow: the policy owner sees every path to yes and no, tests the boundary cases, and can answer “why was this case rejected?” with the actual trace.
Claims & warranty adjudication
Industry: Insurance and manufacturers
Rule type: Coverage classification, payout criteria, escalation rules
Owned by: Claims leads
Claims rules decide money and goodwill in the same step, so consistency matters as much as speed. Leapter keeps coverage classification and payout criteria as approved visual logic: every adjudication applies the same rules, deterministically, with a trace the claims lead can show when a decision is challenged.
Worked example
This is the walkthrough we give credit teams. No customer data, no invented results, just what the product shows you at each step, using a consumer-lending scorecard as the example.
1. Start from the policy you already have
A credit decision starts with two things you already own: applicant data and credit policy. The applicant side is what your intake already collects, income, existing obligations, employment status, requested amount and term, collateral where relevant. The policy side is what your credit committee has already signed off, debt-service limits, loan-to-value caps, score cutoffs, exposure limits, knock-out criteria. Describe the policy in plain language or paste the policy document, and AI drafts the decision logic from it. Nothing about the inputs changes. What changes is where the logic lives.
2. Read the logic as your policy, not as code
The draft appears as a Blueprint: a diagram of the decision itself. You see the knock-out checks first, the hard criteria that end an application early. Then the calculations: debt-service ratio, and loan-to-value where collateral applies. Then the conditions that sort an applicant into risk bands, each band labeled in your policy’s own terms. The paths converge on an approval node with three outcomes: approve, refer to manual review, decline. Every threshold is visible and named. A credit-risk lead can follow any applicant’s path with a finger, and when something is wrong, point at the exact branch.
3. Test it the way risk thinks
Before anything runs, the Blueprint is tested like a policy, not like software. Generate representative cases across the bands. Add the edge cases every credit lead carries in her head: the applicant just under a cutoff, the thin-file case, the combination of thresholds that has caused trouble before. Branch coverage shows which paths your tests have exercised and which they have not, an untested decline path is visible here, not discovered in production. Change a threshold and rerun the whole set to see exactly which outcomes flip.
4. Approve it, run it, replay any decision
The version you approve is the version that runs, deterministically. Same input, same output, every time, with no AI in the live decision path. Applications and agents call the approved Blueprint through a REST API or MCP, the agent integration standard. And every decision produces a trace: which branches fired, in what order, with the values that drove them. When a declined applicant asks why, or an auditor asks how, you replay the case against the approved version and read the answer off the diagram.
If you own a credit policy, the fastest way to evaluate this is with your own rules. Bring your policy to a briefing →
Beyond financial services
The wedge is financial services. The model is general: wherever rules decide an outcome, the logic can be a Blueprint someone accountable can read. Four interactive product demonstrations, open a Blueprint and click through it to see how the product works. These are technical illustrations of the product, not customer use cases:
Airline Crew Assignment
Vehicle Tax Calculator
KYC Screening
Warranty Coverage Classifier
Solar Surplus Controller
Tower of Hanoi
Bring one decision
Pick the decision closest to your world, a credit policy, an underwriting guideline, a pricing table, a compliance check. In a 30-minute briefing we take your real example and show how it becomes a Blueprint your experts can read, test, and approve. You leave knowing whether this fits, with your logic, not ours.