Case studies

AI implementation case studies

Real projects delivered by the Greenwolf Tech Labs team, with the results the clients measured. Client names are withheld.

Insurance brokerage, Australia

Automation and dashboarding

The problem. Policy data arrived as spreadsheets from several insurers, each in a different structure, and every client report took hours of manual cleanup.

What we built. An automated pipeline that standardizes every insurer's file and feeds a single reporting dashboard.

  • Report time cut from 4-5 hours to under 5 minutes
  • Reporting accuracy up from about 75% to 99%

Regulatory consulting firm

Compliance management tool

The problem. Recurring filings for many clients were tracked in spreadsheets, email and memory, with frequent missed steps.

What we built. A compliance tool with recurring task generation, owners, due-date reminders and client-wise dashboards.

  • Status reports in under 15 minutes instead of 4-5 hours
  • 30+ hours a month saved on coordination

Therapy services provider

Clinician portal on AppSheet

The problem. Clinicians logged sessions in shared spreadsheets, so billing fixed formats, durations and missing authorizations before every cycle.

What we built. A guided portal with validation, auto-calculated durations, approvals and automatic sync to billing.

  • Data entry down from 10-15 minutes a day to under 3
  • Errors stopped at the source

Procurement firm, nuclear engineering, Europe

Supplier intelligence tool

The problem. Supplier details lived in many Excel files, and every evaluation meant hours of manual research.

What we built. A central supplier database with automated research, side-by-side comparison and filterable profiles.

  • About 30 hours a month saved
  • Reports in under 15 minutes instead of 4-5 hours

Sourcing and supplier quality consultancy

Supplier scouting automation

The problem. Analysts found and filtered suppliers by hand on Google for every client brief.

What we built. Two tools that find candidate suppliers and apply the client's screening rules automatically.

  • 85% time saving
  • 91% cost saving

Logistics company, UK

Route planning automation

The problem. Dispatch typed every address into Google Maps, which optimizes only 25 stops and cannot add time at each stop.

What we built. A Python tool that loads addresses automatically, adds buffer time per stop and optimizes the full route.

  • Manual address entry eliminated
  • Delivery estimates customers could rely on

How it works

What we build, and how

Illustrative diagrams of the systems we implement, with the guardrails each one ships with. No client data.

Selected organisations

Coste SourcingPrecision TherapyAnistaparabilityNatural Seawater Supplier

Get started

Tell us what you want automated

Describe the task, the systems involved and the volume. We reply within one business day with an architecture, the tools we would use, running costs and a fixed-price build plan.

  • Free 30-minute build review
  • Fixed quote before any work starts
  • You own the accounts, code, prompts and data

Prefer email? info@aiimplementationconsultants.com

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An implementation lead replies from info@aiimplementationconsultants.com, usually within one business day. No mailing lists.

Ask us anything

An implementation lead replies from info@aiimplementationconsultants.com, usually within one business day.

An implementation lead replies from info@aiimplementationconsultants.com, usually within one business day. No mailing lists.