The agents

A small team of specialists. One chat surface.

NxtPivot is not one model with one prompt. It is eight agents, each named, each specialized, each working on a single part of the billing lifecycle. You talk to Ask Pivot. Pivot runs the rest.

How they work together

One claim. Eight agents. About nine seconds.

A claim arrives. The cast does its part in order. Ask Pivot watches the whole thing and answers your questions.

Ask Pivot Watching everything

Vanilla

Cyan

Pearl

Denim

Plum

Amber

Apricot

A claim arrives. Vanilla reads it. Cyan validates the codes. Pearl runs the pre-flight check. The claim ships.

If a denial comes back, Denim ranks it. Plum pulls the policy. Amber drafts the appeal. Apricot double-checks before it leaves.

And the whole time, Ask Pivot is listening. Ask anything, in plain English, get the answer in under 10 seconds.

The main agent

Meet Ask Pivot.

Remembers

Ask Pivot

The main chat agent

Talk to Pivot in plain English. Pivot orchestrates the rest of the cast, remembers everything, and spawns specialist subagents to do your bidding.

Remembers everything

Every patient, every payer pattern, every appeal you filed last week. Institutional memory stops leaving when people leave.

Pulls any report in plain English

"Show me all CARC 197 claims from Aetna over $500 last month." Pivot returns the table in 8 seconds. No filters, no saved views, no exports.

Spawns subagents to do your bidding

Pivot routes the work. Need a denial reclassified? Calls Denim. Need a coverage lookup? Calls Found Money. You stay in chat. The cast does the rest.

The cast

Seven specialists, each named, each focused.

Each agent has one job and does it well. Hover (or tap on mobile) for details.

Hover any card on desktop to expand it. The rest compress.

Vanilla

Vision Extractor

Drag and drop. Done.

Vanilla reads anything visual, scanned 837P claims, EOB PDFs, faxes from payers, screenshots of denial letters, and returns it as a structured claim ready to bill or appeal.

Use case

You get a 12-page PDF denial summary from a payer. Drop it on Vanilla. 30 seconds later you have a structured table of every denied claim with the CARC, the dollar amount, and a link to each one in your queue.

Impact

Cuts upload time from ~6 minutes per claim to ~5 seconds. Removes the data-entry step that breaks half the time.

Cyan

Coding Validator

Right codes, right combos, every time.

Cyan validates CPT, ICD-10, HCPCS, modifier and place-of-service combinations against the payer's billing rules. Catches the wrong modifier 25, the mismatched DX, the POS that does not match the documented service.

Use case

A psychiatry claim for 90837 with E/M same-day. Cyan flags the missing modifier 25 before the claim leaves the clearinghouse.

Impact

Catches 40 to 60% of preventable coding denials. Worth a 12% lift in first-pass acceptance for specialty practices.

Pearl

Pre-Submission Scrubber

The pre-flight check.

Pearl runs every claim through eligibility, prior-auth, place-of-service, and patient-data sanity checks before it ever reaches the payer. 64% of denials were preventable, Pearl is the agent that prevents them.

Use case

A claim with an expired authorization. Pearl holds it, surfaces the auth-renewal request in your worklist, and lets the claim ship as soon as the auth is updated.

Impact

Reduces preventable-denial volume by 50 to 65% within 90 days. Smaller worklist, faster cycle time.

Denim

Denial Classifier

Ranks every denial by what is worth fighting for.

Denim reads CARC/RARC codes, looks at payer-specific overturn rates, factors in the dollar amount and the appeal window, and ranks every denial by expected recovery.

Use case

Your aging report has 240 open denials. Denim returns them ranked. The top 30 are worth $42K combined. The bottom 100 are worth $1,200 and should be batch-closed.

Impact

Lifts recovery per biller-hour by 3 to 5x. Same headcount, same hours, the team works the highest-yield claims first.

Plum

Payer Rules

Knows every payer's policy. Pulls the exact section.

Plum is the institutional memory of every payer policy, every plan rule, every Medicaid state manual section. When you need the citation for an appeal, Plum has it.

Use case

You are appealing a Cigna denial for medical necessity. Plum returns the exact medical-policy section, the procedural pre-cert language, and the most recent Medical Director communications relevant to the diagnosis.

Impact

Eliminates the 22-minute "go find the policy PDF" step on every appeal. Citations are always current.

Amber

Appeal Drafter

Writes the appeal. Citations already attached.

Amber takes the denial, the payer policy from Plum, and the clinical documentation, then drafts the appeal letter. Cites the exact policy section. Pre-fills the auth number. Hands it to the biller for review.

Use case

A CARC 197 denial with Track-B auth on file. Amber drafts a 4-sentence appeal letter with the auth number, the rep name, and the fax confirmation date attached. Biller reads it and sends.

Impact

Drops per-appeal time from 22 minutes to 4. Same biller, 5x throughput on the appeal queue.

Apricot

Appeal Validator

Last-mile QA. Nothing goes out broken.

Apricot reviews every drafted appeal before it leaves. Checks the claim number, the auth #, the citation, the fax line or portal URL. Catches the typo that would have wasted the appeal window.

Use case

Amber drafted an appeal with the wrong claim number (off by one digit, biller did not catch it). Apricot flagged it, the biller fixed it, the appeal went out clean.

Impact

Cuts "appeal lost on a technicality" failures to near-zero. Worth ~5% of appeal volume reclaimed.

Watch the cast run a claim of yours.

15 minutes. Your data, redacted. Talk to Ask Pivot. See Vanilla, Cyan, Pearl, Denim, Plum, Amber, and Apricot do what they do.

Book a 15-min demo See how they work