SELECTED WORK — platforms running in production, and automation priced on verified net savings only.
Proof, Not Promises

Built to run in production. Measured in the business.

Two categories of work. Custom AI platforms engineered for production — and high-cost workflows automated for an agreed share of verified net savings. Client names are withheld under NDA; figures are measured against certified baselines and ranged to protect confidentiality.

HospitalityConstructionReal estateSupply chainFintech
Category 01 — Custom AI Platform

Platforms engineered and running in production.

Production-grade AI, fintech and agentic platforms — owned by the businesses that run them, built and operated by NEWMIND PARTNERS.

ConfidentialFintech · Payments

Multi-entity reconciliation & ledgering platform

Embedded ledger, reconciliation and settlement engine for a payments operator spanning multiple legal entities and currencies.

  • Real-time ledger with automated reconciliation
  • Exception queue with full audit trail
  • SOC-grade controls and role-based access
ConfidentialEnterprise · Agentic Ops

Internal AI operating system

A secure agentic platform that connects systems, knowledge, approvals and actions across a multi-site services group, with human exception handling built in.

  • Cross-system orchestration with human decision rights
  • Governed agents with permissioned actions
  • Observability and evaluation on every workflow
ConfidentialInsurance · Regulated

Claims intake & triage platform

High-volume claims capture, document understanding and triage with explicit human approval on every consequential decision.

  • Document intake and structured extraction
  • Risk-based routing with audit-ready decisions
  • Compliance controls and data boundaries
ConfidentialProptech · Real Estate

Portfolio intelligence & underwriting platform

A decision platform that consolidates portfolio, market and asset data to accelerate underwriting and asset-management decisions across a property group.

  • Unified asset, lease and market data model
  • Underwriting workflows with model-assisted analysis
  • Scenario tooling for portfolio decisions
ConfidentialSupply Chain · Control Tower

Order orchestration & control-tower platform

A control tower that orchestrates orders across ERP, WMS and TMS, surfacing exceptions and coordinating resolution in one operational surface.

  • End-to-end order visibility across systems
  • Exception detection and guided resolution
  • Carrier and supplier coordination in one place

A prototype proves it can work. These run every day and are measured in the P&L.

Category 02 — AI Workflow Automation

High-cost workflows automated. Priced on verified savings.

Nothing upfront — a percentage of verified net savings only. Each engagement below passed a free audit, ran against a certified baseline, and protected quality, security and human control. Figures are measured outcomes, ranged for confidentiality.

HospitalityConfidential
Multi-property hotel group

Night-audit & revenue reconciliation

The problem

Every property reconciled the night audit by hand across PMS, POS, the channel manager and finance. OTA commission mismatches, unbilled charges and chargebacks leaked revenue and consumed hours before each daily close.

What we automated

A nightly reconciliation agent matches PMS, POS and channel-manager records against finance, prepares the postings, recovers unbilled charges and OTA discrepancies, and routes only true exceptions to the front-office manager.

92%Less reconciliation labor per property
0.8%Of room revenue recovered from leakage
87%Of exceptions auto-cleared
6.5h → 22mNightly close per property
ConstructionConfidential
Multi-project contractor

Change-order to cash

The problem

Site variations were caught late, with evidence scattered across emails, daily logs and photos. Slow approvals delayed billing, and unclaimed variations were written off as leakage on live projects.

What we automated

A change-to-cash agent detects variation triggers in site documents, assembles the evidence pack, routes approval, submits the commercial event and links it to billing in the ERP — turning a scattered process into a tracked pipeline.

+18%Previously-missed variations recovered
34 → 6 daysVariation detection to submission
-21 daysDays sales outstanding on changes
1.4%Of project value recovered as revenue
Real EstateConfidential
Multi-property portfolio

Maintenance-to-payment

The problem

Maintenance tickets arrived across portals and email. Staff manually judged responsibility — landlord, tenant or warranty — dispatched vendors, then validated invoices, where overcharges and duplicates went unnoticed at portfolio scale.

What we automated

An agent triages each ticket, determines responsibility, dispatches the right vendor, verifies completion and validates the invoice against the contract — flagging overcharges and duplicates before they are paid.

14m → <1mTicket triage time
6.3%Of vendor spend caught as overcharge
-63%Time to dispatch a vendor
71%Of tickets resolved without a human
Supply ChainConfidential
National distributor

Order-to-ship exception resolution

The problem

Orders stalled on price and inventory conflicts, credit holds and EDI errors spread across ERP, WMS and TMS. Every stuck order meant expedite freight, missed SLAs and manual chasing between teams and suppliers.

What we automated

An exception agent validates orders, resolves price and inventory conflicts against the source of truth, coordinates suppliers, and updates ERP, WMS, TMS and the customer — escalating only what genuinely needs a human.

-78%Human touch time per exception
84%Of order exceptions auto-resolved
+9 ptsOn-time-ship performance
-31%Expedite freight spend
Supply Chain · LogisticsConfidential
Shipper & retail supplier

Freight claims & deduction recovery

The problem

Retail deductions, chargebacks and freight claims went unrecovered. Evidence assembly was manual, filing deadlines were missed, and recoverable amounts were quietly written off as a cost of doing business.

What we automated

An agent detects deductions and claims, assembles the proof pack from POD, BOL and contract terms, files within deadline, tracks each dispute and reconciles recoveries back to the ledger.

34% → 79%Of disputable amount recovered
99%Of claims filed before deadline
-70%Analyst hours on claims
2.3×Net recovered leakage vs baseline
Finance · Shared ServicesConfidential
Multi-entity finance shared-service center

Invoice-to-pay & duplicate-payment recovery

The problem

The AP team keyed invoices from PDFs and email across entities and matched them to POs and receipts by hand. Duplicate payments, price and quantity errors, and missed early-payment discounts leaked cash at every month-end close.

What we automated

An agent captures each invoice, runs a three-way match against PO and goods receipt, flags duplicates and price or quantity variances, routes only true exceptions for approval, and captures available early-payment discounts.

41% → 93%Of invoices matched touchless
0.4%Of AP spend recovered from duplicates
2.1×Early-payment discounts captured
9d → 1.5dInvoice cycle time
Customer · Claims OperationsConfidential
Consumer brand & manufacturer

Warranty & returns claims processing

The problem

Warranty and return claims arrived across email, portal and phone with photos and receipts. Agents manually verified coverage and adjudicated each case — slow resolution, inconsistent decisions, and leakage from claims approved outside policy.

What we automated

An agent intakes the claim, extracts the proof, checks coverage against policy, adjudicates within the rules, prepares the refund or replacement, and escalates only genuine edge cases to a human reviewer.

26h → 8mFirst-response time
76%Of claims auto-adjudicated in policy
-4.8%Out-of-policy claims leakage
-58%Cost per claim
HospitalityConfidential
Multi-site restaurant & resort group

Group procurement & F&B invoice reconciliation

The problem

Each site ordered food, beverage and supplies from dozens of vendors, and invoices were reconciled against contracts and delivery notes by hand. Price creep, off-contract buying and short deliveries went unnoticed across the group.

What we automated

An agent matches every supplier invoice to the contract price and delivery note, flags price creep, off-contract items and short or over deliveries, and consolidates recoverable credits by vendor across all sites.

88%Of invoices matched to contract automatically
3.1%Of F&B cost caught as price creep
1.9%Of spend recovered as vendor credits
-74%Reconciliation hours per site
Savings are measured against an agreed baseline, net of incremental AI and operating costs. Quality, security and human-approval thresholds remained protected throughout each engagement.
How the numbers are earned

Every figure traces to a certified baseline.

We do not report theoretical productivity. Each result is measured against an agreed source of truth, with incremental costs deducted before any savings are shared.

What a verified result requires

  • An agreed, volume-adjusted operating baseline
  • A named source of truth for cost, volume and quality
  • Incremental AI, cloud and data costs deducted first
  • A budget action that converts capacity into spend reduction
  • Quality and security thresholds held throughout

What stays under human control

  • Credit, claims, employment and legal decisions
  • Consequential approvals and exception overrides
  • Auditability of every automated action
  • Data boundaries and permissioned access
  • The right to pause or roll back the automation

Find the workflow that can fund its own transformation.

The free audit tests the baseline, automation feasibility and financial realization plan — nothing upfront, a percentage of verified net savings only.

Get your AI pre-audit