CR

CrossRoads

Manufacturing AI Value Lab

CrossRoads Advisory Engagement

Manufacturing AI Readiness Diagnostic

A structured two-week advisory engagement to identify high-value AI, analytics, automation, and transformation opportunities across a manufacturing business.

2 wks

Engagement

3

Pilots scoped

90d

Roadmap

Who it is for

Executive sponsors and functional leaders

CEO

Strategic clarity on where AI creates measurable value

COO

Production visibility, throughput, and operational risk

CFO

ROI assumptions, payback timing, and capital discipline

CIO

Data readiness, system landscape, and integration scope

Head of Transformation

Sequenced roadmap and governance model

Manufacturing Director

Shop-floor pain points and OEE recovery

Finance Director

Manual reconciliation, controls, and close cycle

When companies need it

Common triggers for a diagnostic

01Leadership wants to explore AI but does not know where to start.
02Departments operate on disconnected dashboards and spreadsheets.
03Production visibility is delayed and decisions lag the shop floor.
04Finance, HR, or audit teams rely on manual reconciliation.
05AI pilots exist but are not connected to ROI or business outcomes.
06Leadership needs a credible 90-day roadmap before investing in tools.

Engagement structure

A focused two-week cadence

Week 1

Discover & align

    01Executive alignment on objectives, constraints, and success measures
    02KPI and pain-point review across functions
    03Department interviews with operational and functional leads
    04Process and reporting scan to map current workflows
    05Data and source-system review (ERP, MES, finance, HR)

Week 2

Prioritize & recommend

    01AI and automation opportunity mapping by department
    02Value vs feasibility scoring of candidate use cases
    03Top pilot selection with sponsor alignment
    04ROI assumption building with documented baselines
    0590-day roadmap with sequencing, gates, and dependencies
    06Executive readout with board-ready decision pack

Client input required

What we ask of the client team

  • 3 to 5 leadership interviews (60 minutes each)
  • Sample KPI reports currently used by the executive team
  • Current dashboards or spreadsheets used to run the business
  • Process walkthroughs with department owners
  • ERP and reporting extracts where available
  • Known pain points and transformation priorities

Final deliverables

What the client receives

  • Manufacturing transformation maturity scorecard
  • Pain-point heatmap across functions
  • AI and automation use-case portfolio
  • Value vs feasibility matrix
  • Top 3 recommended pilots
  • Estimated ROI ranges with documented assumptions
  • 90-day roadmap
  • Executive decision pack

What happens next

Three sequenced paths after the diagnostic

Step 02

AI Use Case Factory

4–6 weeks

Validate the prioritized portfolio, refine ROI per use case, and convert the roadmap into a funded backlog.

Step 03

Department Sprint

8–12 weeks

Build a working pilot in one function — sales, operations, finance — with baseline-vs-pilot metrics.

Step 04

Value Realisation Office

Ongoing

Govern scaled rollout, track benefits against the business case, and prioritize the next wave.

Start with a conversation

Request a diagnostic conversation to scope the engagement for your business.

Initial conversations are confidential and carry no commercial commitment.

Request Diagnostic Conversation
← Explore Department OpportunitiesReview methodology →

Illustrative scenarios. Validated against client systems, processes, and data availability during a live engagement.