Service

Move manufacturing purchasing forward with controlled approvals

Procurement and finance automation routes complete requests through approved limits and system handoffs. It aims to reduce avoidable handling while keeping budget, supplier, segregation, and exception decisions with authorized people.

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01

Understand

Where this service fits

This work is most useful when operational symptoms are visible but the target workflow, ownership, or system boundary is not yet dependable.

01

Requests arrive without cost centre or specification

02

Approvals stall in inboxes

03

Purchase orders require repeated re-entry

04

Invoice mismatches are investigated without a shared queue

02

Understand

A proposed before-and-after workflow

Current state

A requester emails a description, procurement chases missing details, and finance learns about the commitment late.

Proposed state

A structured requisition validates required data, routes by value and category, records approval, creates or hands off an approved order, and directs mismatches to a named queue.

The future state remains a design until it is tested with the people, data, systems, and exceptions in scope.

03

Deliver

Scope and deliverables

The exact package follows discovery and agreed responsibilities. A typical engagement can include:

01Request and approval design

Confirm this during discovery and record the owner, evidence, acceptance decision, and fallback.

02Approval-limit and delegation matrix

Confirm this during discovery and record the owner, evidence, acceptance decision, and fallback.

03Vendor and accounting field mapping

Confirm this during discovery and record the owner, evidence, acceptance decision, and fallback.

04PO and invoice exception workflow

Confirm this during discovery and record the owner, evidence, acceptance decision, and fallback.

05Audit history, reports, and operating guide

Confirm this during discovery and record the owner, evidence, acceptance decision, and fallback.

Illustrative modern manufacturing floor with an operations leader observing production equipment

04

Deliver

Data and decisions needed

Access is limited to what the agreed work needs. Client owners approve source authority, operational rules, and acceptance criteria.

Reference	Input or decision to establish
01	Purchasing policies and approval limits
02	Request, PO, receipt, and invoice samples
03	Supplier and accounting master data
04	Known mismatch and urgent-buy scenarios

05

Deliver

Delivery sequence

A bounded sequence protects continuity and makes learning visible before wider rollout.

01
Segment request types and risksDefine evidence and the exception path
02
Simplify required informationDefine evidence and the exception path
03
Design approvals and delegationDefine evidence and the exception path
04
Integrate the approved handoffDefine evidence and the exception path
05
Test exceptions and audit recordsDefine evidence and the exception path
06
Phase adoption by category or siteConfirm ownership and handover

06

Govern

How it fits existing systems

Existing systems are mapped by business responsibility, supported interface, data authority, update timing, and failure behavior. The design may integrate, configure, retain, or replace a component; no universal compatibility is assumed.

07

Govern

Measurement, timeline, and cost

Baseline definitions are agreed before implementation. Timeline and cost vary with system access, data quality, process variation, security, testing, number of sites, adoption, and support scope.

01

Requests complete on first submission

02

Active handling minutes

03

Approval elapsed time by band

04

Invoice match and exception rates

08

Govern

When a different approach may be better

Complex engineered purchases may need collaborative sourcing and technical review rather than a straight-through routine workflow.

Buying questions

Questions to resolve before work starts

These answers establish a practical default. Actual scope follows the systems, process, data, risks, and responsibilities in view.

01Can this work with our existing systems?

Usually, but compatibility must be confirmed. We first identify supported interfaces, data ownership, update frequency, security constraints, and failure behavior. Where a direct connection is unsafe or unavailable, a controlled file exchange or staged replacement may be more appropriate.

02How do you limit disruption during rollout?

We keep the first scope bounded, test with representative data, define rollback and manual fallback procedures, and agree a cutover window with process owners. Safety-critical control remains outside an information-workflow project unless separately assessed by qualified specialists.

03How are scope, timeline, and price determined?

They depend on process variation, systems and interfaces, data condition, security requirements, testing effort, number of sites, training, and support boundaries. Discovery produces an evidence-based scope rather than an unsupported fixed promise.

04How do we know whether the work is worthwhile?

Agree the metric, definition, baseline period, comparison conditions, data source, owner, and review date before changing the workflow. Released capacity is reported separately from cash savings, and operational outcomes are not attributed to software without comparable evidence.

05What happens when an automated step fails?

The design should make failures visible, retain the source record, route the item to an owned exception queue, allow authorized correction, and preserve an audit history. A workflow is incomplete until its exception path is tested.

01

Start with one process

Which workflow currently costs your team the most time?

Bring one normal example and one exception. Use them to frame the systems, decisions, controls, and evidence a sensible next step needs.

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