What’s inside
Seven chapters · open with a short form
“The agent’s autonomy is only as wide as the rules that the organization has encoded.”
S.K. Wong, Infosys Portland24:10
What the demo showed
Jump to the moment in the recording
Three takeaways
Agentic AI can help turn unmanaged demand into guided, policy-aligned procurement activity.
The impressive part of the technology depends on the less visible work of encoding your category knowledge, policy, data, governance and decision rights.
You don’t have to transform the entire procurement function before starting. Start with a meaningful use case, define the path to scale, then use the evidence to expand.
S.K. Wong’s closing summary, 63:01
Insights shared by
The two people who have seen this fail - and fix - most often
Darshan Kadam
Principal Advisor, Procurement & AI Strategy
Advises enterprise teams on where agentic AI earns autonomy.
S.K. Wong
Partner, Digital Procurement
Translates procurement strategy and operating-model requirements into technology-enabled ways of working.
About Aerchain
AI-Native Spend Operating System
Autonomous when it can be. Human where it should be.
Aerchain runs procurement end to end - intake, sourcing, negotiation, award - matching the right level of autonomy to every kind of spend, inside the policies and thresholds you encode.
150+ AI agents deployed
As stated in the session, 29:29
Category intelligence built in
Playbooks and benchmarks across every major category
Secure by design
ISO 27001, SOC 2 and GDPR
Proof at enterprise scale
$67B
Enterprise spend managed, across every industry.
1 in 5
Of APAC’s top 50 enterprises run procurement on SpendOS.
Recognised by
Accenture
Gartner
UBS Forums
ProcureTech 100
Already working this way
Talk to us about your categories
Bring a category and your current process. We will walk through where agents could run it, and what you would have to encode first.