We are not another AI startup. We are a ten-year procurement and finance operations company that built the Genie Suite because our teams lived the problems every day. We fix the data and the process first, build on the systems you already own, and amplify with the right AI — yours if you have one, ours (built on Claude) if you don't. Others add AI. We multiply with it: Data + Process + AI = 10x.
500M+
Documents Processed
98%
Extraction Accuracy, day one to steady state
40%
Cost Reduction
24/7
Agents & Operatives
The WHAT
Every AI stack you’ll see this year starts at the model. Ours starts two layers earlier — because AI on a broken foundation just automates the mess. Others add AI.
Data + Process + AI = 10x
HOW WE MULTIPLY IT
4
One connected backbone
Arrive at AI: GenieWorks
The work gets done
3
Practitioner intelligence, encoded
Category knowledge
Human review
Vendor comparison
Ten years of data
Intelligence built in
2
- or ours
ERP & finance
LLM + OCR
Repositories
AI engine
We build on it
1
Data & process, fixed first
Clean master data
Root-cause workflows
Clear ownership
We fix it
THE NEW
The stack is what we build. The Genieway is how we build it — an operating discipline earned over a decade of running procurement and finance operations inside demanding enterprises. It’s why the multiplier holds.
Most AI pilots don’t fail on the model. They fail on the vendor master.
An agent can flag what isn’t allowed. Only process makes the compliant path the easy one.
Your systems, your AI engine — Copilot, Claude, OpenAI — or ours, built on Claude.
Guardrails are the product, not the disclaimer.
The same four steps, applied — in sourcing it starts with the vendor master → in contracting, with the pile you already have → in AP, with the purchase order →
750+ years of combined category, sourcing, contracts and AP experience — and the team that scopes your engagement is the team that runs it, year after year. One team across six countries and every time zone, working inside your systems. Clients describe it as an extension of their team, not a vendor. Behind them: a 51,000+ practitioner community sharing what actually works.
No big-bang programs. We begin with the problem stuck on your desk, prove it on a small set with 100% human review, and scale only after you’ve validated the accuracy yourself. Your stack, your pace, your engine (or ours). And zero lock-in: every contract, field and dashboard lives in your systems — switch us off and you keep everything.
$1.8B+ spend under management · 18 enterprise clients · 100% renewal, 24 months running. 25000+ invoices a year at 98%+ SLA. Recognized in the Everest Group PEAK Matrix. Biotech & pharma, semiconductor, technology, IFM, PE portfolios.
The culture behind it is simple: stay curious, be relentlessly consistent, and work as your team — do the unglamorous work first, and tell the truth about what’s live and what’s coming.
Proof
$1.8B+
Spend Under Management
18
Enterprise Clients
100%
Client Renewal — 24 months running
500M+
Documents processed
25,000+/year
Invoices at 98%+ SLA — Every Month
51K+
Practitioner Community
Attendees in conversation at the GenieWorks A event, DPW, New York.
THE PLATFORM
Three Genies.
One backbone.
INTELLIGENT PROCUREMENT
Smart sourcing and a multi-supplier marketplace — pre, during and post-sourcing on one connected arc.
Explore →TOUCHLESS AP AUTOMATION
Contract intelligence — the whole estate, backwards, forward and onwards. Not another CLM.
Explore →CONTRACT INTELLIGENCE
Touchless AP with judgment — capture, match, resolve and close on your ERP.
Explore →“Organizations that fix their data and process foundations before deploying AI capture disproportionate value from it.”
— McKinsey, "Transforming Procurement for an AI-Driven World," October 2025Why GenieWorks.ai
Three procurement professionals in conversation outdoors at a DPW New York evening event.
Bring us your hardest problem. We'll fix the foundation, build on what you own, and show you what amplification looks like when it's pointed at it.
The conversations are real — and so are the practitioners. DPW New York, 2026.
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