AI Agents · Case Studies 2026
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Case studies · 2026

AI agents, at work in real businesses.

How GoWide has designed and built AI agents for enterprises in distribution, mining, retail, healthcare, manufacturing and government, and how your business can put the same agents to work.

GoWide AI agents in production: fleet command centre, shopping assistant and admin dashboard
Order automationDocument verificationSAP data extractionCRM assistantsShopping assistantsVoice AICatalogue intelligenceFleet safety
About GoWide

Enterprise solutions across SAP, commerce, process mining and AI.

GoWide Solutions is a digital consultancy headquartered in Melbourne. We help enterprises remove bottlenecks, automate workflows and grow with confidence, combining deep SAP and Salesforce expertise with applied AI that works on your real data, inside the systems you already run.

Our services

Applied AI & AI Agents

Pre-built and customisable AI agents that work inside SAP, Microsoft and Salesforce, turning business data into action.

SAP Commerce, S/4HANA & BTP

Connecting commerce to core execution using SAP-native S/4HANA and BTP patterns.

Salesforce Agentic Commerce

Salesforce commerce, marketing and data delivery that respects your release governance.

Enterprise & Composable Commerce

End-to-end services for enterprise and composable commerce platforms.

Process Mining

Finding what actually slows operations down, then fixing it with measurable impact.

Digital Transformation

Digital strategy, cloud, data and solutions that deliver measurable business value.

Cloud Infrastructure

Secure, scalable cloud foundations for enterprise applications and data.

Web & App Development

Custom web and mobile applications built around your users and systems.

White-labelled Services

Embedded specialists and delivery pods that help systems integrators scale.

GoWide · AI Agents Case Studies 202602
Our AI capabilities

Enterprise AI that solves real business problems.

We turn data into insight, automate decisions and optimise operations with AI that integrates into your existing ecosystem, for faster adoption and measurable results.

Sales

Smarter selling with predictive intelligence

AI-driven recommendations, dynamic pricing and conversion optimisation that help sales teams close faster and personalise buying.

Data

Complex data into competitive advantage

Unify and analyse enterprise data for real-time visibility, uncovering patterns and forecasting trends across every function.

Process

Intelligent automation for scale

AI-powered workflows that remove manual bottlenecks, reduce operating costs and speed up execution with consistency.

Agents

AI agents that elevate every interaction

Virtual agents that handle routine enquiries, support internal teams and respond instantly around the clock.

GoWide · AI Agents Case Studies 202603
Why this document

Pilots are easy.
Production is hard.

We do the hard part: integration, governance, accountability and outcomes that hold up after go-live. The agents in this document run on real business data inside real enterprise systems, not a sandbox.

Integration
Governance
Outcomes after go-live
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Three ways to put our agents to work

Start where you are. Go as far as the problem needs.

01

Deploy a pre-built agent

Start from an agent already proven in production and configure it to your data, rules and systems.

02

Customise to your process

Extend an agent with your own terminology, workflows, approvals and integrations.

03

Build a custom agent

Have a unique problem? We design and build an agent around it, end to end.

Why GoWide

Built for complex landscapes

Native integration with SAP, Salesforce, cloud and legacy systems.

Governance by design

Security, compliance and auditability from day one.

One accountable partner

AI, data, cloud and platform expertise in one team.

Outcome-linked delivery

Engagements tied to measurable business KPIs.

Long-term partnership

Managed services and support beyond go-live.

GoWide · AI Agents Case Studies 202606
How a pilot works

Measurable impact in 4-6 weeks.

A scoped pilot: one use case, one data source, one workflow. Your data doesn't need to be AI-ready first. We assess what you have, fix what matters and structure only what the use case needs.

Week 1Week 6
1use caseOne clearly scoped business problem.
1data sourceYour real data, assessed and prepared.
1workflowAn outcome you can measure before you scale.
GoWide · AI Agents Case Studies 202607
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AI CASE STUDY 01The brief

70% faster order handling across 1,000+ daily purchase orders

ClientIndustrial & Safety Supplies DistributionAPAC
The challenge

A leading Australian industrial and safety supplies distributor receives purchase orders, RFQs and invoices across 50 mailboxes in multiple formats. More than 1,000 orders a day were being processed by hand and keyed into Microsoft Dynamics 365.

70%reduction in handling time per purchase order
1,000+orders a day automated into Dynamics 365
50shared mailboxes connected
Value created
  • Order handling time per purchase order reduced by 70%.
  • Same-day order confirmation sustained through peak season, without temporary headcount.
  • Mis-keyed line items, and the credit notes they generated, largely eliminated.
  • Customer service moved from data entry to exception handling and customer contact.
GoWide · AI Agents Case Studies 202610
The workQuote / PO to Order Agent
Quote / PO to Order Agent screen
How the agent works
01

Read every inbox

Connects to 50 shared mailboxes via Microsoft Graph, with PDF extraction and OCR for scans.

02

Classify & validate

Identifies genuine POs and routes RFQs, statements and other emails for review.

03

Extract & de-duplicate

Captures PO, buyer, delivery and line items; blocks duplicate and re-sent orders.

04

Post to Dynamics 365

Creates draft orders via OData, traceable from source email to sales order.

Ready to deploy

Put this agent to work in your business

Distributors, wholesalers and manufacturers receiving orders by email into SAP, Dynamics 365 or other ERPs.

Pre-builtCustomisableIntegrates with your systems
Built withMicrosoft Dynamics 365Microsoft Graph APIOData API (OAuth2)OpenAI (document extraction)Webhooks
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AI CASE STUDY 02The brief

Every distributor listing benchmarked automatically, not by agency audit

ClientIndustrial Machinery ManufacturingUSA
The challenge

The client sells tens of thousands of SKUs through independent distributors across multiple regions. Product content is managed centrally, but each distributor publishes its own catalogue, with no scalable way to track product coverage, listing completeness or competitor positioning across sites.

10,000sof SKUs benchmarked across distributor sites
1unified dashboard for coverage, quality and shelf share
Rankedcontent gaps flagged by distributor for follow-up
Value created
  • Continuously benchmarks every distributor listing against the master catalogue, replacing a manual, agency-run audit.
  • Brings SKU coverage, content quality and competitor shelf share into one dashboard, refreshed on a set cycle.
  • Flags specific gaps, such as missing images or unpublished SKUs, ranked by distributor for follow-up.
GoWide · AI Agents Case Studies 202612
The workCatalogue Comparison Agent
Catalogue Comparison Agent screen
How the agent works
01

Crawl distributor sites

Scheduled capture of names, images, specs, pricing, stock and documents.

02

Match to master catalogue

Matches by SKU, part number, image and description similarity.

03

Score content quality

Rates image coverage and specification completeness on a standard rubric.

04

Surface gaps & shelf share

One dashboard ranking gaps by distributor and comparing competitor visibility.

Ready to deploy

Put this agent to work in your business

Brands and manufacturers selling through distributor or retailer websites who need digital-shelf visibility.

Pre-builtCustomisableIntegrates with your systems
Built withSAPSalsifyAzureAzure OpenAIPower BI
GoWide · AI Agents Case Studies 202613
AI CASE STUDY 03The brief

Fleet-wide collision risk detected 5-10 seconds ahead

ClientMiningAPAC
The challenge

The client operates open-pit truck fleets across multiple mine sites, with heavy and light vehicles sharing haul-road zones. Safety systems ran independently at each site, with no fleet-wide, real-time view of potential vehicle conflicts, and no confirmation that required radio calls were made and acknowledged.

5-10 slook-ahead on every truck's projected path
50 mproximity threshold for conflict alerts
100%on-site, with no cloud dependency
Value created
  • Every truck pair checked continuously against real motion and geometry, not a sample.
  • Collision decisions stay deterministic and auditable. AI only prioritises detected events and speaks the alert, never decides whether a conflict exists.
  • Runs fully on-site with no cloud dependency, so the safety loop keeps working without a live network connection.
GoWide · AI Agents Case Studies 202614
The workCollision Alert System Agent
Collision Alert System Agent screen
How the agent works
01

Live digital twin

Projects each truck's position, speed and heading across the fleet.

02

Predict paths

Straight-line or road-following prediction using haul-road mapping.

03

Detect & alert

Flags pairs projected within 50 m, grades severity, triggers map and voice alerts.

04

Verify radio calls

Cross-checks conflicts against radio recordings for calls, responses and timing.

Ready to deploy

Put this agent to work in your business

Mining, ports, logistics yards and any site where heavy and light vehicles share the same roads.

Pre-builtCustomisableIntegrates with your systems
Built withPython / FastAPIWebSocketNext.js + Three.jsLocal TTS (offline voice)scikit-learnSQLite
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AI CASE STUDY 04The brief

A 24/7 shopping assistant that finds the right product and the right size

ClientMartial Arts & Sports RetailAPAC
The challenge

The client is an Australian online retailer specialising in boxing, MMA, strength and fitness equipment, with a large Shopify catalogue. Customers struggled to find the right products and choose the correct size, leading to returns and missed sales, while routine shipping, returns and payment queries added to the support workload.

24/7customer assistance, including after hours
Livecatalogue stock and pricing in every answer
Instantanswers to shipping, returns and payment queries
Value created
  • Reduces sizing-related returns by helping customers choose the right size before they order.
  • Resolves routine shipping, returns and payment queries instantly, reducing support workload.
  • Makes product comparison easy, supporting faster purchase decisions.
  • Provides 24/7 customer assistance, including outside regular support hours.
GoWide · AI Agents Case Studies 202616
The workEnterprise AI Assistant Agent
Enterprise AI Assistant Agent screen
How the agent works
01

Understand the shopper

Natural-language search by text or voice, right in the Shopify storefront.

02

Live catalogue

Shows only in-stock products at current pricing.

03

Size & compare

Recommends sizes from height or age and compares products side by side.

04

Answer & hand off

Resolves shipping and policy queries; checkout stays in Shopify.

Ready to deploy

Put this agent to work in your business

Online retailers with large catalogues, sizing complexity or high volumes of routine support queries.

Pre-builtCustomisableIntegrates with your systems
Built withShopify Storefront & Cart APIConversational AI / LLM engineVoice input with live transcriptionWebhooks
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AI CASE STUDY 05The brief

Full visibility and one-click human takeover for every AI conversation

ClientMartial Arts & Sports RetailAPAC
The challenge

The retailer needed visibility into AI-driven customer conversations, the ability for staff to step in when human support was required, and a structured way to manage captured leads. GoWide built an admin portal alongside the AI Assistant: one dashboard to monitor conversations, manage leads and support timely follow-up.

100%of AI conversations visible to staff
1-clickconversation takeover by a human agent
4live conversation statuses, from bot to resolved
Value created
  • Full visibility into every AI assistant conversation. No more black box.
  • Less time spent hunting for a lead or a chat, with everything tagged and searchable.
  • Faster escalation, so a shopper needing help is never left waiting on the bot alone.
  • Every conversation becomes a trackable lead, ready for follow-up rather than lost.
GoWide · AI Agents Case Studies 202618
The workEnterprise AI Assistant Agent
Enterprise AI Assistant Agent screen
How the agent works
01

Monitor live

Conversations shown by status: Bot Handled, Live, Needs Human or Resolved.

02

Take over in one click

Staff step in, resolve and add internal notes, with live cart visibility.

03

Capture leads

Central Leads dashboard with source, reason, status and CSV export.

04

Analyse intent

Conversation and intent analytics reveal what customers are asking.

Ready to deploy

Put this agent to work in your business

Any business running a customer-facing AI assistant that needs human oversight and lead follow-up.

Pre-builtCustomisableIntegrates with your systems
Built withAdmin PortalLead PipelineLive TrackingCSV ExportRole-based Access Control
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AI CASE STUDY 06The briefPILOT

Targeting 40-60% less intake time before the consultation begins

ClientDental & Orthodontic ClinicSydney, Australia
The challenge

A Sydney dental and orthodontic practice relied on largely manual patient intake. Dentists spent 5-10 minutes of every consultation gathering medical history and symptoms before the examination could begin, adding real time pressure on fully booked days.

40-60%targeted reduction in intake and triage time (pilot brief)
5-10 minof each consult previously spent on history-taking
100%of AI recommendations traceable to source cases
Value created
  • Targeting a 40-60% reduction in pre-visit intake and triage time, as defined in the pilot brief.
  • Dentists begin each consultation with a reviewed patient summary, reducing time spent on history-taking.
  • Every AI recommendation is traceable to relevant source cases for transparent review.
GoWide · AI Agents Case Studies 202620
The workVoice Assistant Agent
Before
5-10 minutes

of every consultation spent gathering history and symptoms

After
Reviewed summary

ready before the dentist walks in, with red flags and linked past cases

How the agent works
01

Patient describes symptoms

Voice or web chat, in the patient's own words.

02

Practice-specific triage

Logic tuned to the practice's own case patterns, not a generic checker.

03

Pre-consult summary

Red-flag alerts and confidence scores, linked to relevant past cases.

04

Dentist review

Approvals and corrections continuously improve triage accuracy.

Ready to deploy

Put this agent to work in your business

Clinics, allied health and service businesses with repetitive intake, triage or pre-appointment questions.

Pre-builtCustomisableIntegrates with your systems
Built withAzure OpenAI (GPT-4o, voice & text)Speech-to-textWeb chat widgetVoice IVRPractice Management / EMR
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AI CASE STUDY 07The brief

Website visitors turned into booked meetings, with no forms

ClientDigital Consultancy (GoWide)APAC
The challenge

The AI Voice Consultant is embedded on gowide.com. A visitor speaks or types a query; the assistant identifies the need, shows the closest matching GoWide project on screen, answers follow-up questions from an approved knowledge base, and books a discovery call once genuine interest is established.

24/7response and meeting scheduling
Zerocontact forms between visitor and meeting
Autofallback from voice to text
Value created
  • Converts website visitors into qualified, scheduled meetings, with no contact form as a barrier.
  • Gives every visitor a live view of the most relevant GoWide project, reducing time spent searching.
  • Responds and schedules meetings immediately, at any hour, removing the wait for a sales reply.
  • Reverts to text automatically if voice fails, so the conversation is never lost.
GoWide · AI Agents Case Studies 202622
The workVoice Assistant Agent
Voice Assistant Agent screen
How the agent works
01

Speak or type

Natural-language input, with natural interruption supported.

02

Show the right work

Displays the closest matching project on screen during the conversation.

03

Answer accurately

Responses drawn only from an approved knowledge base.

04

Book the meeting

Captures details and schedules a discovery call into the sales calendar.

Ready to deploy

Put this agent to work in your business

B2B and professional-services websites that want to qualify visitors and book meetings around the clock.

Pre-builtCustomisableIntegrates with your systems
Built withOpenAI RealtimeWebRTC VoiceRAG + pgvectorNext.js
GoWide · AI Agents Case Studies 202623
AI CASE STUDY 08The brief

100% of site-access documents checked before crews mobilise

ClientMining Services ContractorAPAC
The challenge

Maintenance crews travel to customer-operated mine sites, where every worker must meet site access requirements before mobilisation. Competency cards, insurance certificates and safety data sheets were reviewed manually, so gaps were hard to spot early and compliance issues sometimes surfaced only in on-site audits, after crews had arrived.

100%of documents checked against the full site rule set
On demandcomplete evidence trail for client audits
Exceptionsonly: officers resolve, not re-check
Value created
  • Every document checked against the full rule set for that site, rather than a sample.
  • Complete evidence trail available on demand during client site audits.
  • Compliance officers shifted from checking documents to resolving exceptions.
GoWide · AI Agents Case Studies 202624
The workDocument Verification Agent
Document Verification Agent screen
How the agent works
01

Ingest uploads

Webhook-triggered intake of supplier and subcontractor documents.

02

Validate against site rules

Each site's access rules encoded as policy, including expiry and issuer.

03

Cross-check workers

Certificate holders matched against worker records to catch mismatches.

04

Route exceptions

Compliance officers receive the reason code and failing condition.

Ready to deploy

Put this agent to work in your business

Contractors, labour-hire, construction and any business verifying certificates, licences or compliance documents.

Pre-builtCustomisableIntegrates with your systems
Built withAzureAzure OpenAISharePointPower AutomateREST APIs
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AI CASE STUDY 09The brief

Month-end SAP extracts cut from 9 days to 6 hours*

ClientIndustrial Chemicals DistributionANZ
The challenge

SAP ECC is the system of record across 11 plants and terminals. Month-end extracts were built by hand for each site, schema changes surfaced only after downstream loads failed, and only a sample of ledger lines was ever checked back against source.

100%of ledger lines reconciled, up from a 12% sample*
9 days → 6 hrsmonth-end extract, now 1 analyst instead of 5*
58 → 4post-close corrections per quarter*
Value created
  • Every ledger line reconciled against source, rather than a 12% sample.
  • Month-end extract effort down from 5 analysts over 9 days to 1 analyst in 6 hours.
  • Corrections raised after close fell from 58 to 4 per quarter.

* Figures are illustrative and represent a modelled deployment.

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The workData Extractor Agent
Data Extractor Agent screen
How the agent works
01

Connect read-only

Links to each SAP client with no ABAP transport deployed.

02

Discover schema

Classifies keys, dates, currencies and units across 87 tables.

03

Version the mapping

Each extract definition confirmed once by analysts, then reused.

04

Reconcile every run

Row counts and control sums checked; drift flagged to the finance owner.

Ready to deploy

Put this agent to work in your business

Finance and data teams extracting from SAP, Salesforce, Oracle or SQL systems for reporting and migration.

Pre-builtCustomisableIntegrates with your systems
Built withSAP ECCDatabricksAzurePower BIREST APIs
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AI CASE STUDY 10The brief

Live CRM answers for every officer, at no added licence cost

ClientGovernment MinistrySaudi Arabia
The challenge

A Middle Eastern government ministry oversees domestic and foreign investment. After GoWide delivered its SAP C4C implementation, officers outside the named-licence pool still had to ask colleagues for account status, and briefing packs were built from exports that were out of date before they were read.

Days → minutesbriefing preparation, on live data
Zeroadded licence cost to extend access
100%of answers traceable to a logged query
Value created
  • Live account visibility extended to officers outside the named-licence pool, at no added licence cost.
  • Briefing preparation reduced from days to minutes, using live data rather than exports.
  • Every answer traceable to a logged, auditable query.
  • Routine account look-ups no longer routed through the CRM team.
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The workCRM Query Assistant Agent
CRM Query Assistant Agent screen
How the agent works
01

Ask in plain language

Employee chat panel built on the existing C4C landscape.

02

Map to a defined intent

Intent library in the ministry's own terms; no free-text guesses.

03

Query live C4C

Read-only, role-scoped to each officer's own portfolio.

04

Log for audit

Every question and query recorded for audit and information requests.

Ready to deploy

Put this agent to work in your business

Organisations on SAP, Salesforce or Dynamics CRM that want governed answers without buying more licences.

Pre-builtCustomisableIntegrates with your systems
Built withSAP C4CSAP BTPSAP CPIODataAzure AD
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Contact

Let's talk.

Tell us where you're stuck. We'll show you a practical AI agent you can launch in weeks.

Phone
+61 470 656 200
Next step
Book a 20-minute scoping call
GoWide · AI Agents Case Studies 202630
Our AI agents

Every agent in this document can be adapted for you.

Share your business goals and the systems you run. We'll identify the agent that fits, scope a 4-6 week pilot and show you the outcome before you scale.

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