01
Procurement & supply chain agents
AI agents for sourcing, category management, vendor intelligence, and contract workflows — the Source-to-Contract work we have run ourselves for two decades.
Applied AI Studio · Operations & Procurement
AI that takes real work off your team.
ApexAxiom builds AI agents and internal tools for procurement, supply chain, and enterprise workflows — tested against real cases, measured in hours returned, and run with humans in the loop.
Agents in active use across Source-to-Contract workflows in a Fortune 500-scale energy environment
- ≈$4M
- Projected two-year value
- in team hours returned by AI agents
- 20+ yrs
- Operator experience
- procurement & supply chain leadership
- 5+
- Ventures shipped
- designed, built, and launched end-to-end
Where we build
- Source-to-Contract
- Category strategy
- Vendor & market intelligence
- Contract & tender support
- Reporting & analysis
- Team knowledge assistants
What we build
Focused AI systems for serious operational work.
Not a broad AI agency. One lane, done properly: the document-heavy, research-heavy, decision-heavy work that consumes expert hours inside operations.
02
Enterprise workflow automation
Intake, triage, drafting, checking, reporting. Automation for the approval-heavy, document-heavy processes that off-the-shelf software never quite fits.
03
Research & decision support
Agents that read, compare, and summarize at volume — market research, supplier analysis, contract review — so experts start from a draft, not a blank page.
04
Internal tools
Purpose-built tools that remove repetitive operational labor: knowledge assistants over your documents, report generators, compliance checkers.
05
Prototype-to-production builds
Working prototypes in weeks, evaluated against real cases — then a hardened path to production for the ones that earn it.
Flagship build · Source-to-Contract
AI agents across Source-to-Contract, at Fortune 500 scale.
Inside a global energy operation, a portfolio of focused agents now supports category strategy, procurement process work, and document-heavy research — absorbing the high-volume manual work that consumed expert hours.
Projected value: roughly $4M over two years in team hours returned — measured workflow by workflow against the manual baseline, with every output reviewed by the experts who own the work.
Read how it was built and measuredEnvironment confidential under NDA. Value is a projection built from measured time-per-task deltas, not an assumption.
Projected value · measured method
≈$4M
Projected two-year value in hours returned
- S2C
- Agent coverage across Source-to-Contract
- 100%
- Of outputs human-reviewed before use
How we build
A framework that filters out AI theater.
Every engagement runs the same discipline. It is designed to kill weak use cases early and compound the strong ones.
- 1
Find the work
Start from hours, volume, and pain — not from the model.
- 2
Map the workflow
Inputs, outputs, systems, exceptions, and who decides.
- 3
Build the narrow agent
One job, done well, inside real data boundaries.
- 4
Test against real cases
Historical cases, real documents, graded by the experts.
- 5
Measure time returned
Time per task before vs. after, minus review time.
- 6
Operationalize with humans in the loop
Review points, escalation, training, clear ownership.
- 7
Scale what earns its place
Expand coverage only after the value is proven.
How an ApexAxiom agent runsInside your data boundaries
01 · Inputs
The real work arrives
- Documents & contracts
- System data & spend
- Requests & templates
02 · The agent
One narrow job, done well
- Retrieves & structures sources
- Analyzes and compares
- Drafts on your templates
03 · Human review
Your expert decides
- Reviews and corrects
- Approves or escalates
- Owns the decision
04 · Measurement
Value gets counted
- Time per task vs. baseline
- Volume × delta − review
- Adoption tracked weekly
The lab
We ship our own products. That is the point.
The lab is where we sharpen the craft. These are ventures we designed, built, and launched end-to-end — the reason we can take a client from idea to working system in weeks instead of quarters.
Who builds this
Built by an operator, not an observer.
Roeland Westra has spent more than two decades inside supply chain and procurement — category management, strategic sourcing, contract negotiation, vendor management, and global logistics, much of it in Fortune 500-scale energy operations. ApexAxiom exists because the most useful AI systems are built by people who deeply understand the work. He builds agents for workflows he has run himself.
“Most AI projects start with the technology and go looking for a problem. We start with the hours your team is losing — and only build what gives them back.”More about the studio
Roeland Westra
Founder, ApexAxiom
Houston, Texas
- 20+ years in supply chain and procurement leadership
- Category management and strategic sourcing at enterprise scale
- Deep oil & gas / energy sector experience
- Builder of AI agents across Source-to-Contract — ≈$4M projected two-year value
- Ships his own products: five ventures designed, built, and launched
Start with one workflow
Send us the process that is costing your team time.
Describe one workflow — what goes in, what comes out, who touches it, and how long it takes. We will tell you honestly whether AI is the right tool, and what a first build would look like.