Explore three enterprise solution tracks spanning vehicle enquiries and quotations, finance operations, and facilities-management tender intelligence. Prototype scope and live capabilities are labelled clearly.
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Select a challenge to review the business context, solution priorities, and success measures.
Digital Futures · OIP Call 30
Interactive demonstrations use synthetic examples only. They do not connect to the challenge owners’ systems or process real customer or finance records.
Walk through enquiry review, vehicle details, historical comparables, human-approved pricing, draft quotations, and follow-up.
Synthetic enquiries; no live WhatsApp or external AI connection. Sign-in required.
Open vehicle demoExplore AP invoice checks, AR billing readiness, exceptions, human review actions, and a synthetic audit trail.
All records and actions stay in this browser. No ERP, payment, or customer systems are connected.
Open finance demoReview a proposed flow for tender-pack triage, requirement evidence, qualification support, corrigenda, and human bid decisions.
Illustrative concept only; automated tender ingestion and an application prototype are not yet implemented.
View workflow concept
How might we accelerate enquiry follow-up and quotation generation by automating vehicle and transaction information extraction, reducing manual entry errors, and enabling dynamic pricing based on historical data and market conditions?
Vehicle enquiries often arrive through WhatsApp with OneMotoring PDFs or images. The team manually extracts details, searches historical purchase records, weighs market conditions, prepares a quote, then tracks buyer responses. As enquiry volumes rise, the work can slow response times and make pricing and record-keeping harder to keep consistent.
Extract vehicle details from submitted documents, handle routine questions with approved information, and route higher-intent or complex enquiries for timely human follow-up.
Use comparable transactions and configurable pricing rules to recommend a price. Keep authorised staff in control of adjustments and final approval.
Keep enquiry, vehicle, quote validity, buyer response, and follow-up status together so active opportunities and next actions are visible.
Support role-based access and an audit history for changes, pricing decisions, approvals, and overrides, with secure handling of customer and transaction data.
How might CBM harness AI to reduce manual effort, improve decision-making, and establish end-to-end visibility across finance operations—beginning with Accounts Payable invoice processing and Accounts Receivable billing readiness?
Finance work spans Microsoft Dynamics NAV / Business Central, Joget, operational applications, banking portals, spreadsheets, email, and supporting documents. The brief prioritises a connected, exception-led workflow that augments existing systems—starting with AP invoice validation and AR billing readiness rather than attempting to replace every finance process at once.
Read invoice fields, match invoices against purchase orders, contracts, and service evidence, detect duplicates, and send exceptions to finance with the supporting context.
Check contracts and service evidence, identify why an item remains unbilled, assign the next action, and keep ageing and unbilled-revenue views current.
Give authorised staff a shared place to review, correct, approve, or override outputs with evidence, ownership, status, and timestamps recorded.
Allow for reimbursement and refund validation, payment-file preparation, and reconciliation workflows as agreed within a bounded prototype.
How might we automate and connect CBM’s end-to-end tender lifecycle—from opportunity discovery and bid qualification through proposal development, submission, and post-bid review—to improve team efficiency, decisions, and bid outcomes?
Tender opportunities arrive across procurement portals, client networks, and other channels. Teams must monitor sources, review lengthy packs, assess bid fit, coordinate internal input, and prepare compliant proposals, while useful bid history and expertise are scattered across documents, email, and teams.
Consolidate opportunities from sources such as GeBIZ, SESAMi, TenderBoard, and Ariba, then organise them around CBM’s criteria, service lines, and deadlines.
Extract scope, eligibility, deadlines, compliance requirements, and evaluation criteria; provide transparent bid / no-bid support for human review.
Surface relevant past proposals and lessons, support compliance checks, and compare corrigenda with the original tender pack to highlight changes.
Route work to the right experts, track reviews and approvals, and capture outcomes and lessons learnt for future opportunities.
The submission deadline in the challenge briefs is 13 November 2026 at 4:00 pm Singapore time.