Case study · Intelligent Decision Support for Any Scale

Supplier Risk: Evidence-led procurement decisions

Client identity withheld

Challenge

Major procurement decisions relied on evidence spread across documents, systems and teams. Assessing supplier risk, suitability and commercial value took weeks, while decision rationale was difficult to reconstruct. After contract award, periodic reviews left gaps in visibility between assessments. The organisation needed a more consistent way to evaluate suppliers, document decisions and identify material changes.

Approach

Agents prepare. People decide.Agents gathered evidence, compared supplier responses and prepared recommendations against agreed criteria. Procurement teams and specialist reviewers retained responsibility for assessment and final approval.

Make the evidence traceable. Approved sources supported research and due diligence, with findings linked to supporting evidence. Gaps and conflicting information were flagged for review.

Apply a consistent evaluation framework. Shared criteria structured supplier comparisons, while allowing requirements and weightings to reflect each procurement’s scope and risk.

Extend oversight beyond contract award. Monitoring between scheduled reviews helped identify changes in supplier risk and relevant market conditions for human assessment.

Outcome

Structured comparisons and source-linked recommendations made supplier assessments easier to review and explain, evidence gathering and response preparation freed teams to focus on evaluation and negotiation, and monitoring between reviews surfaced material changes for investigation and follow-up.

Decision quality: Structured comparisons and source-linked recommendations made supplier assessments easier to review and explain.
Procurement capacity: Evidence gathering and response preparation reduced manual research and coordination effort, allowing teams to focus on evaluation and negotiation.
Supplier oversight: Monitoring between reviews helped surface material changes for investigation and follow-up.

Market research and RFI

Before: Manual research and familiar supplier lists
Human–AI workflow: Agents prepare an evidence-backed longlist from approved sources

RFP evaluation

Before: Lengthy responses reviewed separately
Human–AI workflow: Agents compare responses against agreed criteria and flag gaps

Due diligence

Before: Evidence gathered across disconnected teams
Human–AI workflow: Agents assemble source-linked findings for specialist review

Recommendation

Before: Trade-offs and rationale difficult to reconstruct
Human–AI workflow: Structured comparisons explain risk, suitability and commercial value

Approval

Before: Decisions recorded across emails and meetings
Human–AI workflow: Authorised reviewers approve, with rationale and supporting evidence recorded

Ongoing oversight

Before: Periodic supplier reviews
Human–AI workflow: Monitoring flags relevant changes between scheduled assessments

Stage	Before	Human–AI workflow
Market research and RFI	Manual research and familiar supplier lists	Agents prepare an evidence-backed longlist from approved sources
RFP evaluation	Lengthy responses reviewed separately	Agents compare responses against agreed criteria and flag gaps
Due diligence	Evidence gathered across disconnected teams	Agents assemble source-linked findings for specialist review
Recommendation	Trade-offs and rationale difficult to reconstruct	Structured comparisons explain risk, suitability and commercial value
Approval	Decisions recorded across emails and meetings	Authorised reviewers approve, with rationale and supporting evidence recorded
Ongoing oversight	Periodic supplier reviews	Monitoring flags relevant changes between scheduled assessments