Digicode launches multi-agent AI system for source-to-contract automation

Jul. 2, 2026
By AI, Created 10:41 UTC, Jul 02, 2026, AGP -

Digicode on July 2 launched a custom agentic AI procurement automation solution designed to automate the full source-to-contract cycle inside enterprise IT environments. The company says the system can cut cycle times, reduce manual work and help procurement teams improve compliance, risk monitoring and spend control without replacing existing ERP systems.

Why it matters: - Procurement teams are under pressure to move faster, manage supplier risk more tightly and cut costs while operating complexity rises. - Digicode is targeting a core enterprise workflow: the full source-to-contract cycle, or S2C, which covers everything from intake and sourcing to contract compliance. - The company is pitching a path to automation that works inside existing systems rather than forcing a long platform replacement.

What happened: - Digicode announced a new custom procurement automation solution built on agentic AI. - The launch took place July 2, 2026, in Bratislava, Slovakia. - The system is designed for enterprise procurement teams and supply-chain management. - Digicode said the solution embeds autonomous AI agents directly into an organization’s existing IT infrastructure. - The goal is to automate the S2C cycle securely. - The company also made the solution available as a structured proof-of-value pilot lasting 30 to 90 days. - One pilot can automate a single complex workflow before broader rollout.

The details: - The system is ERP-agnostic. - It integrates with third-party systems and data sources. - The architecture is designed to run in the company’s secure cloud or on-premises environment. - Digicode says the design is strictly GDPR-compliant. - The solution uses multiple specialized AI agents that work together across procurement stages. - Intake and sourcing automation captures requests and routes standardized low-value requests to preferred suppliers. - Digicode says that approach can recover 15% to 20% of unmanaged tail spend. - RFx and evaluation automation creates solicitation documents in minutes instead of hours. - The system uses historical data to fill templates and suggest evaluation criteria. - Compliance and drafting automation cuts document creation time by 70% to 80%. - The system flags category-playbook deviations during generation. - Digicode says compliance review rises from about 85% manual work to more than 98% agent-assisted automation. - Risk and spend monitoring tracks financial, ESG and geopolitical supplier risks in real time. - Digicode says that function surfaces more than 80% of material risks before they affect operations. - The company says the framework can shorten a traditional 60- to 90-day S2C pipeline to under 30 days. - Digicode attributes that speedup to parallel processing and automated approvals based on predefined risk thresholds.

Between the lines: - Digicode is positioning the product against legacy source-to-pay suites and AI chatbots that summarize text but do not execute work. - The message is aimed at procurement leaders who want operational automation without a months-long ERP replacement project. - The emphasis on private, firewall-contained agents suggests the company is selling control and security as much as speed. - The proof-of-value pilot lowers adoption risk by letting buyers test one workflow before committing to a full rollout.

What's next: - Digicode says organizations can start with a 30- to 90-day pilot and then expand to the full multi-agent suite. - The company expects the platform to be used first for high-complexity workflows such as RFx creation and continuous supplier-risk onboarding. - More information is available in Digicode's procurement announcement. - Digicode also maintains a company LinkedIn page.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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