Services
Development of AI intermediary systems that can negotiate and execute purchasing decisions, interface directly with external buying agents, and represent a complete revolution in B2B commerce architecture. Sub-services include B2B AI agent exchange integration, autonomous procurement workflow development, AI-driven vendor vetting systems, and smart contract AI negotiation platforms.
End-to-end engineering of AI-driven systems that autonomously manage the entire procurement lifecycle, from requisition to payment, using multi-agent orchestration to replace manual workflows and reduce cycle times by 70%.
Secure integration of self-executing smart contracts (e.g., on Ethereum, Hyperledger) with existing procurement and ERP platforms, enabling automated, tamper-proof execution of payment terms, SLAs, and compliance checks.
Development of platforms where AI agents autonomously negotiate pricing, terms, and SLAs with vendor agents, using reinforcement learning to optimize for cost, risk, and strategic relationships in real-time.
Engineering of AI systems that continuously evaluate and autonomously select vendors based on dynamic criteria like real-time performance data, risk scores, market conditions, and ESG factors, moving beyond static RFPs.
AI-driven systems for the automated drafting, review, execution, and amendment of procurement contracts, using NLP to extract obligations and trigger smart contract clauses, reducing legal review time by 80%.
Automation of complex, multi-departmental procurement workflows (approvals, compliance checks, PO generation) using AI agents that understand context and policy, eliminating bottlenecks and manual handoffs.
Development of AI agents that operate on decentralized networks or B2B agent exchanges, enabling peer-to-peer discovery, negotiation, and transaction execution without centralized platform intermediaries.
Custom development and tuning of reinforcement learning-based negotiation engines that embody specific corporate strategies (e.g., cost-focused vs. partnership-focused) for integration into procurement platforms.
Architecture and development of a central platform to deploy, monitor, and orchestrate a fleet of specialized procurement AI agents (sourcing, negotiation, compliance) ensuring coherent, enterprise-wide execution.
Design and coding of smart contracts with embedded AI logic that can autonomously verify real-world conditions (via oracles) and trigger payments or penalties, enabling true 'if-this-then-that' procurement execution.
Development of ML models that forecast spend, identify maverick buying, predict supplier risk, and recommend optimization opportunities by analyzing historical and real-time procurement data streams.
End-to-end automation of the Request for Proposal process, from AI-generated RFP documents and intelligent vendor shortlisting to automated response analysis and scoring, compressing timelines from months to weeks.
AI systems that autonomously categorize, analyze, and report on organizational spend, identifying savings opportunities, policy violations, and trends without manual data cleansing or report building.
Development of conversational AI copilots for procurement teams that provide real-time market intelligence, suggest alternative suppliers, and guide strategic sourcing decisions based on natural language queries.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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