The buy-side counterpart to commercial decision-making — structuring supplier selection with the same discipline used in pricing and bid decisions. Explicitly balancing cost, service quality, and risk before a contract is signed.
The commercial outcomes that follow when supplier selection is made explicitly — not by price comparison alone, not by the incumbent relationship, and not by whoever champions a vendor most loudly in the room.
The Workbench structures the decision across three stages — each making the trade-offs more explicit, until the recommendation is clear, documented, and audit-ready. Before anything is finalized, AI challenges the assumptions and surfaces what the scoring may have missed.
Define the procurement context — what you're sourcing, the annual contract value, the number of suppliers under evaluation, and the must-have requirements that represent hard stops. Set the criteria that matter for this specific category: cost, service, quality, regulatory compliance, financial stability, delivery reliability.
Industry templates are available for Pharma, Technology, Industrials, and Healthcare. Each criterion is assigned a weight that reflects your organization's priorities for this procurement — and a cost-per-point value that quantifies what a performance difference is actually worth in dollar terms.
Each supplier is scored on every criterion. Cost scores are calculated from total cost of ownership modelling — including not just unit price but quality failure costs, switching costs, and delivery risk premiums. All other criteria are scored 1–5 against defined performance descriptors.
The workbench then quantifies the dollar value of each performance difference — making the cost of a quality disadvantage, a regulatory risk, or a delivery reliability gap explicit rather than directional. The trade-offs become numbers, not arguments.
Everything is synthesized into a single supplier recommendation with a GO / CONDITIONAL / NO-GO for each option. Hard stops — minimum quality thresholds, regulatory compliance gaps, financial instability flags — must be resolved before a selection is confirmed.
CONDITIONAL recommendations come with explicit conditions that must be satisfied before contract execution. Every element of the decision — scores, weights, conditions, and overrides — is documented and audit-ready. AI reviews the reasoning and flags what the scoring may have missed.
Procurement decisions carry long-term consequences. The AI doesn't score suppliers — it reviews your reasoning and challenges what the numbers may have missed.
Three levels of access — start where your team is, scale as the value is proven. All levels begin with a consulting engagement. View full suite options →
Most organizations have active sourcing decisions underway. The question is whether those decisions are being made explicitly — or left to judgment and price comparison.
We'll be in touch within one business day to schedule a session around a live procurement decision from your pipeline.