Posted in: Procurement Insights · CIO Insights · CFO Insights
In January 2021, I created and moderated a CPO Arena panel assessment of Per Angusta — a procurement performance management platform founded by Pierre Laprée, a former procurement director who was, as he put it, “fed up of having fancy technology to place purchase orders or run tenders but nothing to manage my team, their activity, and showcase their performance.”
The panel was strong. Canda Rozier, former Chief Procurement Officer for several global companies. Cheryl Hayes, Director of Global Procurement at Stryker. Hervé Leguenne, Professor of Innovation at EIPM. Mike Cadieux, former CPO of Publicis Group. Joe Yakura, former SVP and CPO across manufacturing, financial services, and hospitality.
What they validated was real.
Visibility into procurement performance. A single source of truth that finance could trust. Accountability and reporting discipline. The ability to demonstrate procurement’s value to the CFO without “cocktail napkin math.” The tool was described as the CRM that procurement never had.
The panel’s assessment was unanimous: serious practitioners should look at this.
What the 2021 Panel Was Designed to Assess
The CPO Arena format was built around a specific question: does this solution do what it claims, and does it serve practitioners well?
Per Angusta answered that question clearly. The demonstration showed a platform that tracked sourcing pipeline, measured savings, managed team performance, and produced reportable outcomes in a format finance could engage with. The snorkeling and diving analogy from one panelist captured it well — a tool that let you see the big picture and dive deep when needed.
That was the right question for 2021. And the answer was yes.
What the 2021 Panel Was Not Designed to Ask
What none of the panelists asked — and what the CPO Arena format, like every major evaluation framework of that era, was not structured to surface — was a different question entirely.
Were the signals that platform would track coming from processes that were structurally sound enough to generate the right data in the first place?
Not clean data. Right data.
In 1998, at Canada’s Department of National Defence, I asked a single question before any technology was deployed: What time of day do orders come in? The answer — 4 PM — revealed that service technicians were sandbagging orders until end of day because the incentive structure made that the path of least resistance. The procurement data was clean. The process generating it was structurally broken. Delivery performance was at 51 percent.
No evaluation of the technology would have surfaced that. The question had to be asked before the commitment was made. Delivery performance went to 97.3 percent in three months and sustained for seven years — not because of a new system, but because the structural condition was diagnosed before the deployment.
The 2021 panel assessed Per Angusta’s capability to track performance. It did not ask whether the performance being tracked was generated by processes structurally sound enough to make that tracking meaningful.
That was not a failure of the panel. It was the question the market was not yet asking.
The Acquisition Arc: January 2021 to April 2026
The arc from the 2021 assessment to today tells a story the chart makes visible.
January 2021: CPO Arena panel validates Per Angusta’s capability as a procurement performance management platform. Unanimous positive assessment from five senior practitioners.
July 2022: SpendHQ acquires Per Angusta in a $65 million transaction backed by Pamlico Capital. Pierre Laprée joins SpendHQ as Chief Product Officer. The combined entity serves over 400 customers globally. Deal of the Year recognition from the Atlanta chapter of the Association for Corporate Growth.
July 2023: The Per Angusta brand is retired. The combined platform operates fully under the SpendHQ name, integrating spend intelligence with procurement performance management.
April 2026: SpendHQ acquires Sligo AI. The announcement describes “an inflection point where the industry moves from co-pilots to platforms.” Agentic procurement capability is now part of the stack.
Each step in that arc represents genuine capability advancement. The integration of spend intelligence, performance management, and agentic AI is a logical progression. The technology is more capable at each stage.
The question the arc does not answer is the same question the 2021 panel did not ask.
The Question the Arc Doesn’t Answer
The success rate line on the chart has not moved in thirty years. Not during the ERP wave. Not during the e-procurement wave. Not during cloud analytics. Not during the first wave of AI.
Every one of those eras produced genuine capability advancement. The platforms got better. The data got cleaner. The analytics got more sophisticated.
This is not a pattern that requires speculation. In February 2026, a RAM 2025™ multimodel validation of ProcureTech vendor survivability — applying the Hansen Models™ 4-State Outcome Classification across a baseline solution map — measured that 72% of vendor logos no longer exist as independent entities: defunct, absorbed, merged, or renamed. That figure landed within three percentage points of a longitudinal prediction made a year earlier. Per Angusta is now in that 72%, in the absorbed category. The full analysis is documented here: James, About That 75% Number.
The capability was real in every case the archive documents. The organizational conditions that determined whether that capability produced sustained outcomes were not formally assessed before the commitment was made. That is the gap the 72% measures. And it is the same gap the SpendHQ arc — from Per Angusta through Sligo AI — leaves open today.
The organizational conditions that determine whether those capabilities produce sustained outcomes did not change — because no framework in any of those eras formally assessed them before the commitment was made.
Agentic AI changes the stakes. A co-pilot flags a recommendation. A human decides. An agentic system executes. The speed at which a structurally misaligned process produces consequences is no longer measured in implementation cycles. It is measured in autonomous decisions made at machine speed before the misalignment is detected.
The 2021 panel asked the right question for 2021. The question for 2026 is whether the organizational conditions generating the signals that SpendHQ’s combined platform will now act on autonomously are structurally sound — not just clean, but right.
That question was not formally asked before Per Angusta was deployed. It was not formally asked before the SpendHQ acquisition. It has not been formally asked before the Sligo integration.
It is the pre-commitment diagnostic question. It is the question Phase 0™ was built to answer. And it is — as the thirty-year success rate line on this chart confirms — the most consistently unanswered question in enterprise technology transformation.
What the Projected Trajectories Tell Us
The chart shows two scenarios from 2026 to 2030.
The first: organizations deploy the combined SpendHQ + Sligo capability without a pre-commitment assessment of whether their processes are structurally sound enough to generate the right signals. The success rate continues its historical pattern — flat at best, declining as agentic AI amplifies misalignment at speed. The independent research supports this trajectory: the McKinsey State of AI 2025 report confirms that 51 percent of organizations have already experienced negative impacts from AI use.
The second: organizations engage a pre-commitment diagnostic before deploying agentic procurement capability. The diagnostic identifies where the signal-generating processes are structurally sound and where they are not. Deployment is sequenced accordingly. The success rate improves — not to 100 percent, because no framework breaks the ceiling entirely, but meaningfully above the historical baseline.
These are directional estimates, not guarantees. The independent research supports the direction. The specific magnitude depends on the engagement.
What is not in question is which scenario the thirty-year arc makes more likely without intervention.
For Organizations in the SpendHQ Ecosystem
If your organization is currently using Per Angusta or SpendHQ — or is evaluating the combined platform including Sligo AI — the 2021 panel assessment remains a valid reference for capability evaluation.
What it was not designed to assess is whether your organization’s procurement processes are generating the right signals for that capability to act on.
That is the pre-commitment question. It is still open. And with agentic AI now in the stack, the cost of leaving it open has increased.
The 30-minute readiness conversation is where that question gets asked in the context of your specific situation.
Book a readiness conversation: calendly.com/jon-toq/30min
For more information on Hansen Models™: hansenprocurement.com
Phase 0™ · HFS™ Hansen Fit Score™ · RAM 2025™ · Hansen Models™ 18 years · 3,300+ documents · Zero vendor sponsorships · Zero paid analyst relationships
The CPO Arena was created by Jon W. Hansen in 2020 as an independent practitioner assessment format for procurement technology solutions. The January 2021 Per Angusta session was among the first assessments produced under that format.
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Procurement Insights 
What the 2021 Per Angusta Assessment Missed — And Why It Matters Now
Posted on April 3, 2026
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Posted in: Procurement Insights · CIO Insights · CFO Insights
In January 2021, I created and moderated a CPO Arena panel assessment of Per Angusta — a procurement performance management platform founded by Pierre Laprée, a former procurement director who was, as he put it, “fed up of having fancy technology to place purchase orders or run tenders but nothing to manage my team, their activity, and showcase their performance.”
The panel was strong. Canda Rozier, former Chief Procurement Officer for several global companies. Cheryl Hayes, Director of Global Procurement at Stryker. Hervé Leguenne, Professor of Innovation at EIPM. Mike Cadieux, former CPO of Publicis Group. Joe Yakura, former SVP and CPO across manufacturing, financial services, and hospitality.
What they validated was real.
Visibility into procurement performance. A single source of truth that finance could trust. Accountability and reporting discipline. The ability to demonstrate procurement’s value to the CFO without “cocktail napkin math.” The tool was described as the CRM that procurement never had.
The panel’s assessment was unanimous: serious practitioners should look at this.
What the 2021 Panel Was Designed to Assess
The CPO Arena format was built around a specific question: does this solution do what it claims, and does it serve practitioners well?
Per Angusta answered that question clearly. The demonstration showed a platform that tracked sourcing pipeline, measured savings, managed team performance, and produced reportable outcomes in a format finance could engage with. The snorkeling and diving analogy from one panelist captured it well — a tool that let you see the big picture and dive deep when needed.
That was the right question for 2021. And the answer was yes.
What the 2021 Panel Was Not Designed to Ask
What none of the panelists asked — and what the CPO Arena format, like every major evaluation framework of that era, was not structured to surface — was a different question entirely.
Were the signals that platform would track coming from processes that were structurally sound enough to generate the right data in the first place?
Not clean data. Right data.
In 1998, at Canada’s Department of National Defence, I asked a single question before any technology was deployed: What time of day do orders come in? The answer — 4 PM — revealed that service technicians were sandbagging orders until end of day because the incentive structure made that the path of least resistance. The procurement data was clean. The process generating it was structurally broken. Delivery performance was at 51 percent.
No evaluation of the technology would have surfaced that. The question had to be asked before the commitment was made. Delivery performance went to 97.3 percent in three months and sustained for seven years — not because of a new system, but because the structural condition was diagnosed before the deployment.
The 2021 panel assessed Per Angusta’s capability to track performance. It did not ask whether the performance being tracked was generated by processes structurally sound enough to make that tracking meaningful.
That was not a failure of the panel. It was the question the market was not yet asking.
The Acquisition Arc: January 2021 to April 2026
The arc from the 2021 assessment to today tells a story the chart makes visible.
January 2021: CPO Arena panel validates Per Angusta’s capability as a procurement performance management platform. Unanimous positive assessment from five senior practitioners.
July 2022: SpendHQ acquires Per Angusta in a $65 million transaction backed by Pamlico Capital. Pierre Laprée joins SpendHQ as Chief Product Officer. The combined entity serves over 400 customers globally. Deal of the Year recognition from the Atlanta chapter of the Association for Corporate Growth.
July 2023: The Per Angusta brand is retired. The combined platform operates fully under the SpendHQ name, integrating spend intelligence with procurement performance management.
April 2026: SpendHQ acquires Sligo AI. The announcement describes “an inflection point where the industry moves from co-pilots to platforms.” Agentic procurement capability is now part of the stack.
Each step in that arc represents genuine capability advancement. The integration of spend intelligence, performance management, and agentic AI is a logical progression. The technology is more capable at each stage.
The question the arc does not answer is the same question the 2021 panel did not ask.
The Question the Arc Doesn’t Answer
The success rate line on the chart has not moved in thirty years. Not during the ERP wave. Not during the e-procurement wave. Not during cloud analytics. Not during the first wave of AI.
Every one of those eras produced genuine capability advancement. The platforms got better. The data got cleaner. The analytics got more sophisticated.
This is not a pattern that requires speculation. In February 2026, a RAM 2025™ multimodel validation of ProcureTech vendor survivability — applying the Hansen Models™ 4-State Outcome Classification across a baseline solution map — measured that 72% of vendor logos no longer exist as independent entities: defunct, absorbed, merged, or renamed. That figure landed within three percentage points of a longitudinal prediction made a year earlier. Per Angusta is now in that 72%, in the absorbed category. The full analysis is documented here: James, About That 75% Number.
The capability was real in every case the archive documents. The organizational conditions that determined whether that capability produced sustained outcomes were not formally assessed before the commitment was made. That is the gap the 72% measures. And it is the same gap the SpendHQ arc — from Per Angusta through Sligo AI — leaves open today.
The organizational conditions that determine whether those capabilities produce sustained outcomes did not change — because no framework in any of those eras formally assessed them before the commitment was made.
Agentic AI changes the stakes. A co-pilot flags a recommendation. A human decides. An agentic system executes. The speed at which a structurally misaligned process produces consequences is no longer measured in implementation cycles. It is measured in autonomous decisions made at machine speed before the misalignment is detected.
The 2021 panel asked the right question for 2021. The question for 2026 is whether the organizational conditions generating the signals that SpendHQ’s combined platform will now act on autonomously are structurally sound — not just clean, but right.
That question was not formally asked before Per Angusta was deployed. It was not formally asked before the SpendHQ acquisition. It has not been formally asked before the Sligo integration.
It is the pre-commitment diagnostic question. It is the question Phase 0™ was built to answer. And it is — as the thirty-year success rate line on this chart confirms — the most consistently unanswered question in enterprise technology transformation.
What the Projected Trajectories Tell Us
The chart shows two scenarios from 2026 to 2030.
The first: organizations deploy the combined SpendHQ + Sligo capability without a pre-commitment assessment of whether their processes are structurally sound enough to generate the right signals. The success rate continues its historical pattern — flat at best, declining as agentic AI amplifies misalignment at speed. The independent research supports this trajectory: the McKinsey State of AI 2025 report confirms that 51 percent of organizations have already experienced negative impacts from AI use.
The second: organizations engage a pre-commitment diagnostic before deploying agentic procurement capability. The diagnostic identifies where the signal-generating processes are structurally sound and where they are not. Deployment is sequenced accordingly. The success rate improves — not to 100 percent, because no framework breaks the ceiling entirely, but meaningfully above the historical baseline.
These are directional estimates, not guarantees. The independent research supports the direction. The specific magnitude depends on the engagement.
What is not in question is which scenario the thirty-year arc makes more likely without intervention.
For Organizations in the SpendHQ Ecosystem
If your organization is currently using Per Angusta or SpendHQ — or is evaluating the combined platform including Sligo AI — the 2021 panel assessment remains a valid reference for capability evaluation.
What it was not designed to assess is whether your organization’s procurement processes are generating the right signals for that capability to act on.
That is the pre-commitment question. It is still open. And with agentic AI now in the stack, the cost of leaving it open has increased.
The 30-minute readiness conversation is where that question gets asked in the context of your specific situation.
Book a readiness conversation: calendly.com/jon-toq/30min
For more information on Hansen Models™: hansenprocurement.com
Phase 0™ · HFS™ Hansen Fit Score™ · RAM 2025™ · Hansen Models™ 18 years · 3,300+ documents · Zero vendor sponsorships · Zero paid analyst relationships
The CPO Arena was created by Jon W. Hansen in 2020 as an independent practitioner assessment format for procurement technology solutions. The January 2021 Per Angusta session was among the first assessments produced under that format.
-30-
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