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AI-Augmented Consulting™ · CPO Solution · Module 07

The AI Augmentation Line for source-to-pay

Ten stages: eight transactional, bookended by two strategic — 00 Category Strategy before the need and 09 Value Realisation after the signature. For each, the line marks what AI can and should do and where a named human must sign — but it is not fixed. It moves with that stage's own maturity and the risk of the buy, and every stage carries a failure mode and a live calibration read.

Scope. Indirect and services spend — the categories most teams struggle to control. Direct/production spend follows the same line logic with its own channel set; noted where it diverges.

← More autonomousMore human →
A

Calibrate the line

Autonomy is not a property of a stage — it's a property of how mature you are at that stage. Most teams are uneven: advanced at payment, foundational at sourcing. Set each stage from its own diagnostic (inside the stage); risk applies to the whole buy and shifts every stage at once.

Risk profile of the buy — applies across all stages
Your maturity profileTap a stage to set its diagnostic
B

Set the channel

Channel differentiation keeps everything downstream proportionate. Pick a buying channel to see which stages collapse; pick a payment channel to set the disbursement gate. The principle: make the compliant path the quickest path.

Buying channel
Payment channel
C

The line, stage by stage

The eight transactional stages (01–08) are bookended by two strategic ones — 00 before the need, 09 after the signature — so the line governs the whole value cycle. Two backbones run continuously beneath all ten; without them, every autonomy level above is borrowed against trust you don't have.

Master data & spend intelligence
Clean supplier, contract and item masters; a trusted spend taxonomy. No clean data, no autonomy — this is what each stage's maturity really measures.
Supplier lifecycle management
Onboarding, sanctions / financial / ESG / cyber screening, performance scorecards, offboarding. Runs under every stage, not inside one.

Open a stage for its maturity diagnostic, the advanced target state, the line computation, and what happens when the agent is wrong.

D

Where the line falls, by channel

The control map — recomputed against each stage's maturity and your current risk. Read down a column for how much of a channel can run autonomously; read across a row for where a stage tightens. Dashed cells are pre-cleared upstream. The badge by each stage is its maturity level.

E

The payment gate

Where autonomy and irreversibility collide. Matched, in-tolerance transactions clear themselves; disbursement release and supplier bank-detail changes never do.

F

The human dividend

Augmentation buys time. Partnering is where it's spent.

As agents absorb the transactional load, procurement's scarce value moves upstream — to shaping the need before a requisition exists, and translating spend into the language the business rewards. This is the part AI can't do, and it's what makes the oversight Article 14 demands actually competent. The tools below are how the human earns the partner seat.

!

The competence guard

Push everything routine to the agent and your people only ever see exceptions — and a reviewer who's lost the business context can't judge the one in front of them. Keep humans close to live deals and embedded with the business, or "human oversight" decays into rubber-stamping. The dividend only pays if you reinvest it here.

G

Process-augmented, systems-neutral

The line governs. The platform serves.

This framework is tool-agnostic. The capabilities below sit in distinct layers of the modern stack, and the 2026 market delivers each several ways over. Choose platforms to fit the line you've drawn; never let a platform's defaults redraw it. Named vendors illustrate where each layer's market sits today — a refreshable appendix, not a recommendation.

H

Why the line is the control

AI takes the analysis, drafting, matching, monitoring and routing — high volume, rule-bound, reversible. The human keeps the need, the award, the signature, the disbursement and the exception — anything that commits the firm, accepts liability, or can't be undone. And oversight attaches to the reasoning — the data inputs, the scoring logic, the confidence — not only the final signature.

Designed for effective human oversight

Every autonomous action produces a decision receipt: inputs, policy applied, confidence, override path. Under EU AI Act Article 12High-risk AI systems must keep automatic logs (record-keeping) over their lifetime; Article 14 separately requires effective human oversight — a qualified person able to interpret outputs and to stop, override or intervene. These high-risk obligations apply from 2 August 2026 — deferred to 2 December 2027 by the June 2026 Digital Omnibus agreement (final approval pending); the Article 4 AI-literacy duty already applies (since 2 February 2025). the decision receipt is the record; Article 14 requires the human oversight around it. Source-to-pay AI is usually not Annex III high-risk; the high-risk edges are worker-management (Annex III 4) and access to essential services — run the scope check in the ‘EU AI Act basis’ panel (bottom-right). And the override gauge on each stage supports oversight — your live signal the line is drawn right.

EU AI Act — basis, scope & honest limits

How the AI Augmentation Line™ methodology maps to Regulation (EU) 2024/1689, and what this tool is and is not.

Methodology version 1.0 · mapped against Regulation (EU) 2024/1689 (EU AI Act) and UK GDPR / DPA 2018. This is a practitioner readiness aid, not legal advice or a conformity assessment.