Study 2026

AI in Procurement

AI Readiness Study

How ready are procurement teams really for AI? The Insave study "AI in Procurement" examines the AI maturity of procurement organisations using a standardised assessment with 15 questions across 5 dimensions: from process landscape and data quality to concrete investment readiness. Participants are procurement leaders and CPOs from industry, construction, pharma, automotive and other sectors. Results are updated continuously as new participants complete the assessment.

Participant profile (as of 11/07/2026)

41

Procurement leaders

1306

Buyers represented

14.7 Mrd.

CHF procurement volume

407 Mio.

CHF avg. volume

Participating industries

Industry & Mechanical EngineeringConstructionHealthcare & PharmaAutomotiveEnergy & InfrastructureFood & RetailElectronics & TechnologyTransportAviationInsurance

Key finding

What procurement leaders want as #1 win from AI in procurement

Time savings and team relief49%
Better data and decision-making basis46%
Measurable cost savings2%
Risk reduction and compliance certainty2%

Insave, “AI im Einkauf”, 2026, n=41

AI Readiness distribution

Each participant receives a score from 0 to 100, calculated across five dimensions. The score determines the maturity level.

Advanced (81-100 points)
9 participants (22%)

Ready for advanced AI applications like agent-based sourcing and autonomous negotiation support.

Building (56-80 points)
29 participants (70.7%)

Solid procurement processes and strategy, but concrete AI implementation and data integration are still missing.

Beginner (31-55 points)
3 participants (7.3%)

First digital structures in place, but clear gaps in data, processes and automation.

Manual (0-30 points)
0 participants (0%)

Predominantly manual processes, barely any digitalisation in procurement.

The five dimensions

The assessment measures AI readiness across five dimensions. The bars show the average score of all participants.

Prozesslandschaft

8.1/12 (67%)

How automated and standardised are core procurement processes, from purchase requisitions to invoice processing?

Daten & Transparenz

9.2/12 (77%)

How transparent and accessible are spend data, supplier information and documented procurement knowledge?

Team & Ressourcen

5.1/8 (63%)

How is the procurement team set up and how much capacity is left for strategic work beyond day-to-day operations?

Schmerzpunkte & Investitionen

6/8 (75%)

How complex is procurement and how far along is the organisation in making concrete investments in digitalisation and AI?

Zukunft & Readiness

5.2/8 (65%)

How high is AI priority at management level and how concrete are the plans to invest in the coming months?

The pattern: Procurement organisations are professionally mature, but systematically fail at data quality, technology integration and concrete AI implementation. This is exactly where the biggest leverage lies.

What procurement leaders struggle with most

Recurring themes from in-depth interviews with study participants.

55%

Operational overload

The majority of working time goes into operational routine tasks. There is barely any capacity left for strategic procurement, category strategies or supplier development. Price increases from suppliers go unchallenged because nobody has the time.

40%

Manual invoice processing

Single-digit OCR rates, invoice checks via email and Excel, manual 3-way matching. In one case, a company employs 12 people solely for manual invoice data entry across 60,000 invoices per year.

30%

Lack of spend transparency

No consolidated spend overview, tail spend not trackable, monthly Excel reports instead of real-time dashboards. Procurement leaders enter supplier negotiations without a reliable data basis.

27%

Knowledge in heads and silos

Procurement knowledge sits in individual people's heads, in OneNote or in Dropbox folders. No institutional memory, no single point of truth. When someone leaves, the knowledge leaves with them.

23%

Outdated ERP systems as blockers

ERP systems that haven't been updated in 15 years, with no APIs and no live data. They prevent automation and make AI integration practically impossible.

Based on in-depth interviews with study participants (n=30). Percentage indicates how many conversations mentioned this challenge.

Tatjana Frick

Tatjana Frick

CEO, Insave

LinkedInLinkedIn

Want to contribute to the study and get your own Readiness Score?

Book a 30-minute call with me. We'll go through your procurement setup together and you'll receive your individual AI Readiness Score with concrete recommendations.

Book 30 min study call

Methodology

The Insave study "AI in Procurement" has been measuring the AI readiness of procurement teams since April 2026. Participants are procurement leaders and CPOs from companies with 3 to 140 buyers and a procurement volume of CHF 8M to CHF 1.3bn. The assessment covers 15 questions across 5 dimensions: Process Landscape, Data & Transparency, Team & Resources, Investments & Volume, and Future & Readiness. Results are updated continuously as new participants complete the assessment.

© 2026 Insave / PCZ AG. All rights reserved.