Procurement & Supply Chain
3–4 weeks (baseline) + 6–10 weeks (delivery)
Procure-to-Pay (P2P): Stabilisation, Controls, and Automation
P2P exceptions and escalations were consuming capacity across procurement and AP. Suppliers were frustrated, business stakeholders bypassed the process, and control owners could not agree on what “good” looked like. We stabilised the control design, simplified exception handling, and introduced safe automation so teams reclaimed time for strategic work.
#P2P
#Invoice exceptions
#Controls
#Automation
#AP
Related service
Problem
- • High exception volume with unclear ownership and inconsistent resolution paths
- • No-PO and mismatch issues created friction, delayed payments, and escalations
- • Supplier onboarding and master data changes were inconsistent and hard to audit
- • Approvals drifted over time (thresholds, delegations, and inconsistent evidence expectations)
- • Teams attempted automation before controls were stable, amplifying errors
Approach
- • Treat exceptions as signals: build a small taxonomy and baseline the top drivers
- • Reset control design (approvals, tolerances, receiving) and define exception SLAs with owners
- • Fix the front door: guided buying and intake routing to reduce dirty starts
- • Bridge business and vendors/SIs: turn policy into implementable configuration and integration requirements
- • Introduce human-in-the-loop automation (LLMs/agents) for triage, summaries, and comms drafts with auditability
Deliverables
- • Exceptions taxonomy + weekly KPI pack with root-cause themes
- • Control design pack: approvals, tolerances, receiving rules, and evidence expectations
- • Supplier enablement playbooks for the highest volume cohorts
- • Master data stewardship model (ownership, change logs, and verification steps)
- • Automation patterns and guardrails (what is auto, what requires review, what is logged)
Outcomes
- • Fewer escalations through clearer exception ownership and faster follow-up
- • Cleaner audit trail and fewer “special case” workarounds
- • Reduced rework as guided buying and intake improved upstream quality
- • A stable baseline for continuous improvement rather than periodic firefighting
KPIs we tracked
- • Exception rate (by reason family) and exception ageing
- • No-PO spend trend (directional, with clear definitions)
- • Invoice cycle time (by channel and supplier cohort)
- • Touchless/straight-through rate where applicable
- • Supplier enablement health (first-time-right and bounce-back reasons)
Baseline → target KPIs
We set targets after measuring exception drivers and invoice cohorts. Improvements come from upstream fixes (intake, receiving, supplier enablement, and master data), not just automation.
| Metric | Typical baseline | Target after stabilisation |
|---|---|---|
Invoice exception rate | Often 15–30% (depending on channel and cohort) | ≤10–15% with a root-cause programme and clear ownership |
Invoice cycle time | Often 7–12 days for high-exception cohorts | ≤3–5 days for stabilised cohorts (with clear SLAs) |
Touchless / straight-through processing | Low; concentrated in a small set of supplier cohorts | Expanded through enablement + clean controls + safe automation |
Frameworks and artefacts
Exceptions taxonomy (signal, not nuisance)
We classify exceptions into a small set of families so leaders can fund root-cause fixes instead of firefighting.
Integration and controls map
Most P2P pain sits at boundaries: procurement suite, ERP, AP tools, supplier channels, bank verification, and master data stewardship.
Timeline
3–4 weeks (baseline) + 6–10 weeks (delivery)
- • Baseline (Weeks 1–2): quantify top exceptions, define owners, and agree acceptance tests
- • Controls reset (Weeks 3–5): approvals, tolerances, receiving rules, master data stewardship, and exception SLAs
- • Enablement (Weeks 6–8): supplier cohorts, comms, and guided buying / intake fixes to reduce dirty starts
- • Automation (Weeks 9–12): exception triage, summaries, and comms drafts with human review and audit logging