Hackett Group Solution Spotlight: Procurify
An independent analyst evaluation of Procurify’s capabilities and market relevance | September 2026
Procurement is moving toward AI-enabled and agentic operating models
43% of procurement organizations are actively pursuing AI-enabled technology deployment.
56% of organizations report agentic AI at pilot or large-scale implementation.
Priority No. 3, Deploy AI-enabled technology, ranks among procurement's 2026 top priorities.
9%+ reported improvement from AI-enabled technology in productivity (9.7%) and cycle time (9.3%).
AI has moved from an emerging technology issue into the procurement agenda, with deployment now extending into agentic AI.
Adoption remains mixed between pilots and scaled implementations, indicating that deployment does not yet imply mature agentic execution.
The emerging business case is increasingly measurable: Organizations report improvements in productivity and cycle time, shifting the focus from AI availability toward operational outcomes.
Source: 2026 Procurement Agenda and Key Issues Study, The Hackett Group®
Agentic procurement is advancing, but production maturity remains uneven
Overview of available agent types and their development stages:
| Agent type | Beta/pilot | Exploring | Development | Production | N/A |
|---|---|---|---|---|---|
| Agentic workflow designer to create semiautonomous process/logic workflows | 11% | 27% | 23% | 33% | 6% |
| Basic agent provisioning to end users | 17% | 5% | 5% | 74% | — |
| Configurable agent builder with which users can create and configure agents | 11% | 33% | 20% | 17% | 20% |
| Multiagent orchestration using your own orchestrator agents | 17% | 30% | 15% | 29% | 9% |
| Next-gen autonomous orchestration and adoption | 12% | 38% | 21% | 12% | 17% |
Agent-based capabilities are advancing rapidly, but production maturity varies significantly across agent types.
Basic agent provisioning is already widely deployed, while configurable agents, workflow design, multiagent orchestration and autonomous execution remain at earlier stages of maturity.
For buyers, the distinction is increasingly between agent availability and operational agency – i.e., whether agents can understand the organization's purchasing context, policies and approval structures, operate within those guardrails, and move work toward execution.
Source: 2026 AI Solution Providers Study, The Hackett Group®
Procurify is applying purpose-built agents across intake-to-pay
Multiagent architecture
Procurify runs purpose-built agents across intake-to-pay instead of bolting a single generalized copilot onto existing workflows.
Procurement-specific agents
Every agent works with real procurement context – purchasing history, supplier relationships, organizational policies and approval workflows – not generic task automation.
Conversational AI
Employees describe what they need in plain language and guided intake turns it into a structured purchase request and routes it into the right workflow automatically.
Policy-aware execution
Agents operate inside organizational policies, approval rules and decision rights, maintaining governance as work is automated.
Agentic invoice processing
AI captures and prepares invoice data and moves transactions through coding, approval, ERP sync and payment processes without manual reentry.
Native connection to execution
Requests, approvals, POs, receiving, invoices and payments all live in one platform, so agent activity connects directly to the work that gets done.
Customer benefits
Procurify takes over the manual work between a request and its execution, so teams spend less time pushing transactions through the process and more time on the decisions that actually need a person.
Faster intake
Your team describes what it needs; Procurify turns it into a structured purchase request, no back-and-forth required.
Less manual prep
Agents extract and code transaction data before anyone has to touch it.
Policy applied earlier
Rules and approvals kick in at the request stage, not after a noncompliant transaction has already happened.
Lighter AP workload
Invoice capture, coding and matching happen automatically, so your team reviews exceptions instead of processing every invoice by hand.
Easier for everyone, not just power users
Employees and finance teams work in plain language instead of learning a complex system.
One system, start to finish
Requests, approvals, POs, receiving, invoices and payments live in the same platform, so nothing gets lost in a handoff.
Looking ahead
Procurify's product direction is centered on extending its agentic model across procure-to-pay (P2P), building on its current multiagent architecture and procurement-specific agents.
Extend agentic workflows across P2P
Continue to reimagine how agents reduce manual work and support more of the process through the full spend lifecycle.
Broaden conversational and embedded AI
Build on Guided Intake and Spend Analyst while continuing to embed agents directly into procurement workflows, such as purchasing, invoice processing and exception management.
Build on the multiagent foundation
Continue developing the platform around purpose-built procurement agents that bring to every task the right context and governance as organizational precedents (based on purchasing history, supplier relationships, policies and approval workflows) and get smarter with use.
“Agentic procurement is not differentiated by the number of agents but by what they can actually do. The real test is whether agents understand procurement context, operate within governance and move work from intent toward execution. Procurify’s approach brings these elements together by combining procurement-specific agents with organizational policies, approval workflows and the underlying P2P execution environment.”
Frequently asked questions
Publisher's note
Research and analysis by The Hackett Group®, from the Solution Spotlight 'Agentic Procurement for the Midmarket,' reprinted on procurify.com with permission.
Statement of confidentiality and usage restrictions
© 2026 The Hackett Group, Inc. All rights reserved. Reproduction of this document or any portion thereof without prior written consent is prohibited. (PR26015)
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