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HighGround OS Proposal — Print view (22 slides)
New Method AI
Proposal walkthrough · July 2026

HighGround OS.
Brain. Tools. Agents.

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Agenda
Agenda
1
What we heard
2
The solution — Brain, Tools, Agents
3
The business case
4
How we deliver
5
Who we are
6
Next steps
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1 · What we heard
What we heard

Today, at HighGround.

Outlook + Excel
Collectors synthesize AR, jobs, email, and calls by hand.
Process not standardized
Playbook in development; practice varies by collector and location.
Knowledge is tribal
What each carrier and adjuster will accept lives in individual memory.
Fabric already in place
Sage Intacct AR + job data landing in Microsoft Fabric — a foundation to build on.
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1 · What we heard
Your three objectives

The three numbers we move.

01
Collections velocity
Dollars collected within 90 days of invoice.
How we move it
Agents build a prioritized daily queue and run the follow-up cadence.
02
Negotiation effectiveness
Maximize gross-invoice to net-collected conversion.
How we move it
Agents draft rebuttals from the Brain's per-carrier, per-adjuster playbook.
03
Collector capacity
More invoices and dollars per collector, without proportional headcount.
How we move it
Agents absorb repetitive work; collectors focus on the high-value calls.
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2 · The solution
Our hypothesis

If we capture the playbook into a shared Brain, give collectors one workspace of Tools built around it, and let Agents run the repetitive work — then velocity, negotiation outcomes, and collector capacity all move together, measurably, on the pilot cohort.

Brain
Tools
Agents
↑
Velocity
$ collected < 90 days
↑
Effectiveness
Gross → net conversion
↑
Capacity
Invoices per collector
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2 · The solution
The solution

HighGround OS at a glance.

Tools · manual
Claim workspace
Billing Package Generator
Reconciler
Team & Adjuster views
+ more tools
Brain
Playbook + Knowledge
Agents · automated
Iris
Sentiment analyst
Vince
Negotiation strategist
Nora
Communications specialist
+ supporting agents
Triage, reconcile, escalate
Runs inside your Microsoft Fabric / Azure environment·HighGround owns the IP
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3 · The Brain
Layer 1 — The Brain

A Collections Playbook
that grows more accurate over time.

One Brain, many lobes — brand, service line, carrier, adjuster, collector, industry, and HighGround expertise. Every rule versioned and audited.

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3 · The Brain
One Brain

Centralized. Always learning.

Brand
Each brand under the umbrella — its voice, rules, and playbook.
Service line
Water, fire, mold, contents — the nuances of each trade.
Carrier
How each carrier behaves — what they pay, delay, or deny.
Adjuster
Individual adjuster patterns, tone, and rebuttal history.
Collector
Sentiment, efficiency, and effectiveness of every collector.
Industry
Global best practices, compliance, rules, and regulations.
HighGround expertise
All of HighGround's know-how, gathered in one place.
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3 · The Brain
How it learns

It gets sharper on your data.

Every claim
Outcomes, cycle times, and touchpoints written back.
Every email
Adjuster tone, objections, and successful language captured.
Every short-pay
The reason, the pattern, and the winning rebuttal indexed.
Every rule
Versioned and audited — always current, always defensible.
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3 · The Brain
Why it matters

Tribal knowledge becomes a HighGround asset.

Today, the knowledge that wins a negotiation lives in individual collectors' heads. Tomorrow, it's evidence-based, shared across every brand, and it stays when people move on.

From → To
Today
In heads
Individual, unverified
→
Tomorrow
In the Brain
Documented, versioned, audited
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4 · The Tools
Layer 2 — The Tools

One workspace for collectors, managers, and admins.

A complete toolkit for every role: workspaces, reports, and views that let your team own every claim — on desktop and tablet.

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4 · The Tools
Collections Manager

The core claim engine.

Ten tools that move a claim from intake to reconciled.

01
Claim Manager
One workspace per claim — AR, job data, notes, activity.
02
Prioritization
Rank the queue by expected recovery and urgency.
03
Communication
Drafted emails, calls, and follow-ups in context.
04
Billing Package
Assemble a submission-ready packet in one click.
05
Reconciler
Pair payments to invoices; flag short-pays.
06
Playbook
The Brain's rebuttals and next-best actions, in the flow.
07
Status & Aging
Live view of where every claim sits.
08
Human-in-the-loop
Approvals and edits routed to the right person.
09
Audit Trail
Every action, every decision, fully logged.
10
QC & Review
Sampling and checks that feed the Brain.
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4 · The Tools
Role-based surfaces & platform

The right view for every seat.

User
  • My Queue
  • My Performance
  • Notifications
  • Personal Playbook
Manager
  • Team View
  • Adjuster View
  • Carrier View
  • Workload Balancing
  • Coaching & QC
  • Escalations
Admin
  • Brand Overview
  • DSO & Aging
  • User & Role Admin
  • Integrations
  • Audit & Compliance
  • Reporting Studio
Platform Foundation
SSO & AuthPermissionsData IngestionAPIWebhooksObservabilitySecurityBackupsEnvironments
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5 · The Agents
Layer 3 — The Agents

A small team of AI agents
that do the repetitive work.

Each one has a name, a role, and clear boundaries. All grounded in the Brain.

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5 · The Agents
Meet the team

Named. Scoped. Accountable.

CS
Chief of Staff
Orchestrator
Connects the steps and manages human-in-the-loop approvals.
C
Cole
Collections Analyst
Assesses each account and builds the prioritized daily queue.
I
Iris
Sentiment Analyst
Reads adjuster and collector tone — flags what a manager should hear.
V
Vince
Negotiation Strategist
Recommends the approach and drafts the rebuttal from the playbook.
N
Nora
Communications Specialist
Triages inbound email and drafts replies to your communications strategy.
Q
Quinn
QC Analyst
Reconciles job data (DASH) against finance (Sage); surfaces discrepancies.
D
Dex
Documentation Quality
Reviews photos, drying logs, and packet completeness at the front door.
B
Bea
Business Intelligence
Rolls up management and executive KPIs across brands and cohorts.
G
Grace
Compliance & Guardrails
Enforces rules, tone, and the do/don'ts per carrier.
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5 · The Agents
One claim, end to end

The agent team, in sequence.

1
Intake
Dex
2
Prioritize
Cole
3
Read & triage
Iris + Nora
4
Draft rebuttal
Vince
5
Send follow-up
Nora
6
Reconcile
Quinn
7
Report
Bea
Chief of Staff orchestrates the hand-offs
·
Grace enforces guardrails at every step

Each hand-off is logged. Every draft is reviewable. Nothing goes out without a collector approving it — until you say it can.

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5 · The Agents
Human-in-the-loop

Autonomy expands as accuracy is proven.

Stage 1
Manual
Collector drafts and sends every response.
Stage 2
Human in the loop
Agents send low-risk items; collector reviews the rest.
Stage 3
Automate
Proven actions run autonomously; collector handles exceptions.

Fully configurable per collector and account: turn stages on or off, and move back and forth between them as needs change.

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6 · The business case
What it returns

On a $30M pilot cohort.

Move from 85% → 90%
$1.5M
recovered per year
Move from 85% → 95%
$3.0M
recovered per year

Plus the capacity and savings from collector synergies gained as volume grows.

Figures are illustrative and finalized against your actuals in Discovery.

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6 · The business case
How we prove it

A controlled pilot. Mapped and monitored to ROI.

01
Baseline
Signed in Discovery from your actuals — the number we beat.
02
Pilot
First cohort runs on the app against the baseline for a set window.
03
Expansion
Roll it out to the remaining brands.
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7 · How we deliver
The plan

Three releases. The majority treated as capex.

Setup
3 weeks
Initiation & Discovery
$35,000
Release 1
8 – 12 weeks
Foundational integrations & tool build
$140,000 – $310,000
Release 2
6 – 8 weeks
Agents & automations
$85,000 – $185,000
Release 3
8 weeks to target
Ongoing agent training
$60,000 – $80,000
Total
28 – 34 weeks
End-to-end, before ongoing support
$320,000 – $610,000

Final figures are locked post Discovery. Release 3 is followed by $3,000/month for maintenance and support.

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8 · Who we are
Who we are

New Method AI.
Operators, not advisors.

We've built and run these systems in production. Built companies, launched products, turned around companies and teams.

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Next steps
Next steps

Ready to start Discovery
on your timeline.

1
Review and approve this proposal
2
We send a version for e-signature
3
Execute the MSA
4
Schedule the Discovery kickoff
Contact
Sean Vassilaros · New Method AI
818-384-0355 · sean.vassilaros@newmethod.ai
newmethod.ai
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