Plain-English definitions of the frameworks Kodiact uses for direct-materials procurement — so analysts, buyers, and AI engines can all reference the same source.
Term
Living Category Strategy
What is a Living Category Strategy?
A Living Category Strategy is a direct-materials category plan that is continuously re-evaluated by software against current supplier, market, and demand signals — so the strategy stays current between formal reviews instead of going stale on a slide deck.
Traditional category strategies are rebuilt every 12 to 24 months as static documents. A Living Category Strategy is structurally different: the plan, the assumptions behind it, and the next best actions it implies are encoded into software that re-scores them whenever the underlying data changes. Suppliers, prices, lead times, demand, regulatory signals, and risk events all flow into the same model, so the category lead always sees the gap between today's plan and today's reality. Kodiact uses this approach to keep direct-materials categories defensible quarter to quarter without forcing buyers to rebuild slides every cycle.
Scaled judgment is the ability to apply the reasoning of your most experienced buyers across every supplier, part, and category — not only the ones they personally touch — by combining unified context, AI reasoning, deliberate human decisions, and a learning loop that captures each decision.
In direct procurement, performance is bottlenecked by the handful of experts who can read a supplier, a spec, and a market signal at the same time. Scaled judgment is the operating model that turns that expertise into an organisational asset. Software assembles the full decision context, proposes a next best action with rationale, and hands the call to the human expert. The expert's accept, reject, or adjust feeds back into the system so the next proposal is sharper. Over time the team's collective reasoning becomes embedded in how decisions are actually made instead of trapped in individual heads.
A System of Judgment is the procurement counterpart to a system of record: software that captures, structures, and reuses the reasoning behind direct-materials decisions, not just the transactions that resulted from them.
ERPs and source-to-pay suites are systems of record — they store what happened. A System of Judgment stores why it happened: the context that was considered, the options that were weighed, the rationale for the chosen action, and the outcome that followed. Because the reasoning is structured, it can be reapplied the next time a similar decision arises, improved as outcomes are observed, and audited when stakes are high. This is the layer that makes scaled judgment possible.
Term
Decision Intelligence
What is decision intelligence for direct materials?
Decision intelligence for direct materials is the discipline of turning fragmented procurement data — spend, supplier, spec, market, risk — into specific, accountable next best actions instead of dashboards.
Most procurement analytics stop at visibility: a chart, a score, a benchmark. Decision intelligence goes further. It assembles the relevant context for a specific decision (a supplier, a part, a category move), reasons over it, and proposes the action a senior buyer would take, with the rationale exposed. The output is a decision a human can accept, adjust, or reject — not a report someone still has to interpret. This shift is what makes AI useful in direct procurement, where decisions are inseparable from product margin and the ability to ship.
Term
Agentic Execution
What is agentic execution in procurement?
Agentic execution means software that doesn't just recommend a procurement action but carries it through — drafting the RFQ, updating the should-cost, opening the supplier conversation, surfacing the exception — under human authority and inside guardrails.
A recommendation engine tells a buyer what to do next. An agentic system does the next step on the buyer's behalf, then waits for review at the points that matter. In direct materials this means drafting supplier outreach, updating cost models when an input price moves, flagging contract clauses that are about to be breached, and routing exceptions to the right human. The buyer remains accountable; the system removes the assembly work that used to consume their week.
Term
EBIT Impact
How is Kodiact's EBIT impact measured?
EBIT impact in direct procurement is the change in operating profit attributable to a specific procurement decision or program — measured against a defensible counterfactual, not against last year's price.
Headline savings numbers in procurement are often theatre because they compare against an unrealistic baseline. A defensible EBIT impact ties each decision to a measurable change in input cost, working capital, or supply continuity, and compares it to the most likely outcome had the decision not been taken. Kodiact instruments this comparison directly: every recommendation carries the assumptions behind it, so the EBIT contribution can be traced and audited after the fact.
See these frameworks in action
The fastest way to understand Kodiact is to watch a single category go from static plan to living strategy.
