9,000 POs handled through fragmented manual steps. End-to-end AI agents cut quote comparison from 30 minutes to 3.
A leading technology value-added distributor serving the Middle East and Africa, processing over 9,000 purchase orders and 14,000 quotations annually.
Procurement workflows were fragmented across disconnected manual steps, from processing incoming emails and validating purchase orders to extracting...
“We have put this approach into practice within our own operations, using IBM Bob and watsonx Orchestrate to develop and operate AI agents across complex workflows. Having tested and validated the model through our Client Zero program, we are ready to take these capabilities and our experience to customers across the region.”
Value-added distributor of cybersecurity, cloud, and digital infrastructure solutions.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
StarLink's Procurement automation is part of this use case:
Related implementations across industries and use cases
Manual price benchmarking consumed hours per case. AI agents now analyze costs and draft negotiation emails in seconds.
Teams manually called suppliers, limiting comparisons to three. Now, a portal weighs live bids against supplier ratings.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
Manual checks missed early shipments that inflated inventory. AI now flags delivery variances and matches invoices automatically.
Eight reviewers, 3 hours per document; hiring ran 7 days. AI agents now handle legal in 15 minutes and hiring in one—all 30 built in-house.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
9,000 POs handled through fragmented manual steps. End-to-end AI agents cut quote comparison from 30 minutes to 3.
A leading technology value-added distributor serving the Middle East and Africa, processing over 9,000 purchase orders and 14,000 quotations annually.
Procurement workflows were fragmented across disconnected manual steps, from processing incoming emails and validating purchase orders to extracting...
“We have put this approach into practice within our own operations, using IBM Bob and watsonx Orchestrate to develop and operate AI agents across complex workflows. Having tested and validated the model through our Client Zero program, we are ready to take these capabilities and our experience to customers across the region.”
Value-added distributor of cybersecurity, cloud, and digital infrastructure solutions.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
StarLink's Procurement automation is part of this use case:
Related implementations across industries and use cases
Manual price benchmarking consumed hours per case. AI agents now analyze costs and draft negotiation emails in seconds.
Teams manually called suppliers, limiting comparisons to three. Now, a portal weighs live bids against supplier ratings.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
Manual checks missed early shipments that inflated inventory. AI now flags delivery variances and matches invoices automatically.
Eight reviewers, 3 hours per document; hiring ran 7 days. AI agents now handle legal in 15 minutes and hiring in one—all 30 built in-house.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.