What We Build, and What It Returns

Built for

Group, charter and partner sales desks in hospitality, cruise and B2B distribution

Returns

Quote turnaround in hours; discounts that cannot exceed the sender's authority; acceptance converted to a booking the same day

Needs from you

Your rate card, discount policy and contract templates; read and write access to your CRM and booking system

Time to first run

Six to eight weeks to a governed quote on synthetic data in your environment

The deal desk does not set prices and does not optimize them. Prices come from the operator's rate card and discounts from the operator's policy table, by row, with the row cited on every quote line. NeuralVantage™ assembles the evidence, applies those rows, checks the result twice, and enforces who may release each discount tier. Pricing strategy, rate cards, floors and delegated authority remain the operator's, configured in the operator's own systems.

• Quotes go out in hours, not days. Availability, rate card, customer history, contract terms and credit status are gathered and cited before anyone opens the inquiry. A quote inside the rep's authority is validated and sent without a queue.
• Margin stops leaking through discounts. Each level of discount has a hard limit and a named owner. A rep cannot send a manager's discount and a manager cannot send a director's, because the system refuses it, not because a policy asks them not to.
• Acceptance becomes revenue the same day. When the customer accepts, the held stock turns into a booking, the contract is produced from your approved template and the CRM record is closed, with a record of who approved which discount and why.

1. 1

   Assemble

   Requested dates, headcount and mix; live availability with alternatives; the customer's tier and history; comparable deals; credit status. Every fact cited, no price proposed.

2. 2

   Price

   Quote lines from the rate card, discount from the policy row that matches the customer, margin against the floor, contract template by segment. The model applies rows; it does not choose numbers.

3. 3

   Validate and tier

   A second agent works the discount and margin out again from your own tables, checks blackout dates, capacity, credit and contract clashes, and decides whose approval this quote needs.

4. 4

   Release

   Inside the rep's own limit it is sent. Above it, the quote waits for the revenue manager, or for a director if it goes further still, and a director has to give a reason. Then the stock is held, the customer is emailed and the team is told.

• Deal Facts Assembler

  Gathers availability, the customer's level and buying history, similar past deals and credit status, each from the system that owns it.

  Draws no conclusion and proposes no price.

• Quote Builder

  Builds quote lines from the rate card and the discount from the policy table, computes margin against the floor and selects the contract template.

  Cites the rate-card version and the policy row on every line; never invents a number.

• Quote Validator

  Works out the discount and margin again on its own, checks availability, credit and any contract clashes, and decides whose approval the quote needs.

  If it disagrees with the builder, the quote fails rather than averaging.

• A discount limit is a wall, not a rule people are asked to follow. Rep, manager and director quotes are three separate actions, each with a hard cap on the discount and a floor under the margin built into it, and each needing its own permission. The system picks which one applies, then checks it again when the quote is sent, so the two can never disagree.
• Two calculations have to agree. The builder works out the discount and margin; the validator works them out again on its own. If they differ by more than half a point, the quote stops.
• Only one route goes out without a person. A quote inside the rep's own limit sends by itself, and only when the validator has passed and the cap has held.
• Every quote shows its sources. Which rate card, which discount rule and which contract template, travelling with the quote into the PDF and the CRM record.
• Holding stock is not the same as selling it. Every hold comes with a matching release, and it becomes a booking only when the customer signs.
• Nothing personal leaves in the quote. It is checked for personal data beyond a contact name and company before it is sent.

1. An external, deterministic factA signed inquiry event starts a run; a signed acceptance event starts the booking.
2. AI analysis and explanationAgents gather the facts and apply your rate card and discount rules, showing which line each one came from.
3. Durable, human-readable evidenceA quote PDF the customer reads, and your revenue team can read again later.
4. A deterministic conditionThe discount level and the validation result decide the route. Nothing is assumed to keep things moving.
5. An authorized humanA revenue manager or a director approves anything above a rep's own limit. Nobody else can.
6. A governed connector actionThe quote is sent only because someone holding that permission released it, and only inside the limit built into it.
7. Audit, artifact and deliveryThe outcome is logged, the PDF kept, and any deal can be replayed later.

NeuralVantage™ coordinates the process; it does not replace the CRM, the quoting system, the booking or inventory system or the pricing strategy. Rate cards, floors, discount tiers, delegated authority, contract templates and credit policy are configured and owned by the operator, and the platform reads from and writes to those systems under governed, authorized actions. It is not pricing, revenue-management, legal or credit advice.

Built for

Cruise operators re-planning a live voyage under weather, port or medical disruption

Returns

A decided, costed itinerary in hours rather than a day; compensation exposure known before it is promised; vendor and port deadlines met

Needs from you

Your voyage plan and reservation data, ticket contract and compensation policy as tables; the weather and port feeds you consider authoritative

Time to first run

Eight to ten weeks to a full disruption run on synthetic voyage data in your environment

• A decision inside the windowTarget under 12 hours for the demonstration, and always inside the platform's 24-hour run ceiling. A longer episode is segmented, not claimed as one run.
• Four options, compared on evidenceSkip the port, substitute a port, add a sea day, or reverse the itinerary.
• A record that survives the incidentCaptain's decision brief, compensation workbook, guest and port-agent drafts, war-room callback and an evidence bundle.
• Two authorities, not oneMarine Operations approves the itinerary. Guest Relations and Finance separately approve the message and how much compensation may be offered.

• A decided itinerary in hours, not a day. Options are researched in parallel and ranked before the first meeting, so the room decides instead of gathering.
• You know the cost before you promise it. The amount comes straight from your compensation policy, added up by guest type, before guest relations sends a word.
• Vendor and port deadlines stop being missed. Excursion cancellation cut-offs and the notice each port agent needs are put in front of the team as facts, so you stop paying for deadlines nobody noticed.

1. 1

   Frame

   A planner establishes the disrupted voyage, the decision deadline and the option tree. It makes no guest commitments and no compensation decisions.

2. 2

   Research

   Three lines of work run at once: two possible replacement ports and the storm's track. Nothing moves on until all three come back.

3. 3

   Validate and rank

   Each option is checked against the ticket contract and your compensation policy, then ranked with the reasoning written out behind it.

4. 4

   Authorize and release

   Marine Operations approves the itinerary. Only then are guest communications drafted, and only after a second approval do the messages, compensation and system update go out.

The work is split across six narrow roles rather than handed to one do-everything assistant. Each one sees only its own part, and what it may not do is written into the role itself, so no single agent can quietly widen its own remit.

• Disruption Planner

  Frames the disrupted voyage, the decision deadline and the option tree.

  Makes no guest commitment and no compensation decision.

• Port Researcher

  Evaluates a candidate port's operational facts from port notices, excursion data and port-agent terms.

  Reports an unknown berth or notice fact as unknown rather than filling the gap.

• Weather Researcher

  Summarizes the current track and timing from approved advisories and port notices.

  Makes no navigation decision.

• Risk Validator

  Checks each option against the ticket contract, your compensation policy and who is aboard.

  Cites the compensation policy row; never invents an amount.

• Options Reviewer

  Ranks the options and writes out the reasoning and evidence behind the ranking.

  The ranking is advisory. Marine Operations remains the authority.

• Guest Comms Publisher

  Drafts the guest notices, the port-agent notices and the compensation table.

  Drafts only. It cannot send, and it cannot execute compensation.

• Two different people, two different approvals. The route decision and the money decision go to different roles. Neither can sign off on the other's.
• Nothing moves until every fact is in. The checkpoint after the research only asks whether all three branches finished. It never ranks anything. The ranking is a later step, done by a named agent, so a checkpoint can never be mistaken for a judgment.
• One bad answer cannot spread. No agent is handed another agent's write-up. Each goes back to the approved sources itself, so a single wrong summary stays where it started.
• Compensation comes from your policy table, line by line. The model reads the amount. It does not choose it.
• It stops rather than guesses. If evidence is missing, the run halts. Nothing incomplete reaches a step that sends or pays.
• Anything that touches an outside system is checked first. Previewed, permission-checked, logged, and safe to repeat: running it twice cannot double-book or double-pay.

NeuralVantage™ coordinates the work; it does not replace the bridge crew or the reservation system. The Captain and Master, marine operations, legal and compliance retain decision authority throughout. It is not navigation, maritime, legal, regulatory, compensation, contract or safety advice, and the operator decides which weather and port feeds are authoritative for its own fleet.

Built for

Personal-lines claims teams handling high-volume, low-value auto claims

Returns

Decisions in minutes on complete claims; adjuster time spent on exceptions only; payments that cannot be duplicated

Needs from you

Your policy system, estimating service, fraud engine and payment rails as connected systems; your eligibility thresholds as configuration

Time to first run

Six to eight weeks to a settled synthetic claim in your environment

• Decision in under 10 minutesA measured service-level objective for eligible, complete claims - excluding waits for missing evidence or human action.
• Claims under USD 5,000A configurable eligibility threshold, not an instruction buried in an AI prompt.
• A customer-friendly experienceFast acknowledgement, clear requests for missing information, explainable status, and a route to a person.
• No increase in fraud leakageA monitored control objective, measured against a defined baseline rather than assumed.

• Handling cost falls on the majority of claims. Coverage, damage and fraud checks all run at the same time and come back in a form the next step can use. Nobody re-types a policy or reads through a raw estimate.
• Adjusters spend their day deciding, not assembling. Only claims ready to pay and the awkward ones reach a person, with the evidence and the reason already attached.
• Customers get an answer while they still care. A fast acknowledgement, a clear ask when something is missing, and a decision in minutes when the claim is complete.

1. 1

   Gather

   Scoped claim package, authoritative policy snapshot, approved damage estimate and fraud signals - each from the system that owns it.

2. 2

   Analyze

   Five specialists each look at one part of the picture and report back. None of them can step outside its own job.

3. 3

   Decide

   A fixed rule, not the AI's judgment, decides whether the claim qualifies. Anything ready to pay still waits for a named adjuster.

4. 4

   Act

   The claim system is updated and the payment is made, with protection against paying twice built in, followed by an evidence pack and a delivery receipt.

The work is split across five narrow roles rather than handed to one do-everything assistant. Each one sees only its own part of the claim, and what it may not do is written into the role itself, so no single agent can quietly widen its own remit.

• Claim Intake & Evidence

  Normalizes the facts, flags missing or inconsistent evidence, and raises injury or third-party involvement.

  Does not decide coverage, liability or payment.

• Policy Coverage & Deductible

  Explains the authoritative policy response - active status, coverage, deductible, limits, and where the wording is ambiguous.

  Does not invent policy terms or override the policy system.

• Damage Estimate Reconciliation

  Checks the approved estimating service’s figures, separates glass from bodywork, and reports where the numbers disagree.

  Does not price repairs from raw images or stand in for an appraiser.

• Fraud Signal Triage

  Summarizes indicators from the approved fraud engine and returns a risk band and referral need.

  Does not accuse the claimant of fraud or conduct an investigation.

• Settlement Decision Review

  Combines the evidence, applies reason codes and recommends a route.

  Does not authorize payment on model judgment alone.

• Eligibility is a checklist, not a guess. Eleven things all have to be true: coverage active, no injury, no dispute over who was at fault, the amount and the estimate both inside their limits, no fraud referral, and nothing missing.
• A gap sends it to a person, never through. If a policy detail is missing or a system does not answer, a human picks it up. Nothing is filled in to keep things moving.
• Every payment waits for a named approver, with an owner, a clock, and somewhere for it to escalate if it stalls.
• No claim is paid twice. Each payment carries a unique key, so sending the same request again produces no second payment, and every attempt stays in the log.
• What the claimant writes is treated as information, not orders. If a claim description tries to talk the system into something, it is flagged, recorded and ignored.
• When in doubt, it stops. An outage, a bad response or a low-confidence result sends the claim to a person. None of them carries on toward payment.

NeuralVantage™ coordinates the process; it does not replace the systems of record. The claim file, the policy and coverage system, the estimating service, the fraud engine, the payment rails and the claims decision policy itself all remain the insurer’s, and the platform reads from and writes to them under governed, authorized actions.

Built for

Payments and e-commerce fraud operations working the queue behind a scoring engine

Returns

Legitimate flagged orders released without analyst time; analyst hours spent on decisions, not assembly; a dispute bundle for every chargeback

Needs from you

Your fraud engine's decision webhook, order and payment summaries free of cardholder data, and your hold, void and chargeback policy as a table

Time to first run

Six to eight weeks to a decided synthetic case in your environment

Scoring stays with the fraud engine. NeuralVantage™ does not score transactions and does not detect fraud. It governs what happens once a score crosses a threshold: case assembly, the policy check, the analyst decision, and the hold, void, release or chargeback action against the payment gateway and the order system. That separation is the point. A card-network audit asks who acted, on what evidence, and with what authority, and those are different questions from what the model scored.

• Good orders are released without an analyst touching them. Only where one of your own rules allows it, and the case file names the rule that did.
• Analysts spend their hours deciding, not assembling. The order, the payment, the customer's history and how much they have bought recently all arrive already gathered, each with its source shown.
• Every chargeback is disputable. The case file, the run record and the audit trail together form the dispute bundle, produced at decision time rather than reconstructed months later.

1. 1

   Assemble

   The order, the payment, the customer's history and how much they have bought recently, all pulled from summary views. Every fact shows where it came from, and none of them draws a conclusion.

2. 2

   Check

   Each policy rule marked triggered or not, with the clause quoted, exemptions checked and comparable past cases cited.

3. 3

   Recommend

   A case memo naming one of release, hold, void or chargeback, with the reasoning and a dispute-evidence checklist, written to a PDF.

4. 4

   Decide and act

   Low-risk releases clear inside policy. Everything else waits for an analyst, and a void waits for a supervisor too.

• Anything you cannot undo needs two signatures. A hold can be lifted and a chargeback can be withdrawn, so each has a matching reversal already defined. Cancelling the payment has none. That one alone needs a supervisor as well as the analyst.
• Permission sits on the action, not on the person. Each payment action names the permission it requires. An analyst who approves a cancellation without holding it is refused, the payment is left untouched, and the refusal is written to the log.
• The case file never holds card details. It carries the amount, the payment type, the verification results and the country, never a card number or a cardholder name, and it is checked once more before it goes anywhere.
• Releasing without a human is a rule you wrote, not a judgment call. A case clears on its own only where one of your policy rules explicitly allows it, and that rule is quoted in the case file.
• The scoring engine is told what happened. Every outcome goes back to it as a label, so the detection side learns from the decision instead of guessing at it.
• Every case can be replayed. The case file, the record of the run and the log entries are the dispute pack, put together as the work happens rather than reconstructed months later.

1. An external, deterministic factA signed event arrives from the scoring engine. It is a fact, not an opinion, and it starts a case.
2. AI analysis and explanationAgents put the case together and check it against your policy, quoting the clause behind each finding.
3. Durable, human-readable evidenceA case file PDF a person can read, and an auditor can read later.
4. A deterministic conditionReleased without a person only where your own rules allow it. Everything else stops.
5. An authorized humanA fraud analyst decides. An irreversible action needs a supervisor as well.
6. A governed connector actionThe payment happens only because a named person holding the right permission approved it.
7. Audit, artifact and deliveryThe decision is logged, the case file kept, and the outcome sent back to the scoring engine so it learns from it.