Lighthouse · Q1 2026
▸ SC // CASE STUDY · LIGHTHOUSE · AI OPERATIONS DIAGNOSTIC · Q1 2026
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Operations diagnostic for AI readiness and planning. Twelve enterprise systems. Fourteen findings. Six ROI-quantified AI and automation opportunities. Ten business days.
In Q1 2026, Signal Collective completed a Lighthouse engagement for a Greater China-listed industrial manufacturer — used to score AI readiness across systems and workflows and to produce a board-grade plan for applying AI across operational workflows alongside an ESG operations evidence pack. The diagnostic ran ten business days, delivered bilingually through a live engagement hub, and supplied the evidence and roadmap the audit committee needed to move from AI strategy debate to scoped, AI-ready execution across business objectives. The Design phase was commissioned within two weeks of final delivery.
10 business days
12 enterprise systems
14 findings
6 opportunities
Bilingual · live hub
Design phase commissioned
Greater China · multi-site
02 · CLIENT PROFILE · ANONYMIZED
02 / 11
Listed industrial manufacturer. Multi-site. Greater China.
A Greater China-listed industrial manufacturer with multi-site operations on the mainland. Functions spanning production, warehouse, engineering, quality, energy, safety, ESG, and corporate reporting. Client identity protected; engagement numbers are actual.
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Listing
Greater China exchange. Mid-cap. Subject to mandatory sustainability disclosure expansion and provincial smart-factory designation programs.
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Sector
Industrial manufacturing. Multi-site footprint on the mainland.
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Regulatory context
Provincial smart-factory eligibility under review; mandatory sustainability disclosure tightening on the same disclosure cycle.
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Sponsor on client side
COO and audit committee chair. Engagement scoped against board cadence rather than fiscal cycle.
03 · CONTEXT · WHAT THE BOARD WAS ASKING
03 / 11
What the board was asking — and the 90-day window to answer it.
Three converging questions arrived inside the same disclosure cycle. Big-Four advisory proposals quoted three to four months at substantial cost. Internal IT had circulated vendor decks for two quarters; none answered the questions in operating terms. The COO engaged Signal Collective because a fixed-scope, ten-day diagnostic fit the board's timeline.
01 ▸
AI adoption evidence
The audit committee needed to describe the company's AI operations position with operational evidence, not aspirational strategy. Vendor decks were not enough.
02 ▸
ESG disclosure readiness
Tightening mandatory sustainability disclosure required consolidated energy, carbon, and operational compliance data. The existing reporting chain relied on manual consolidation from multiple disconnected systems.
03 ▸
Smart-factory designation eligibility
Provincial designation programs required documented evidence of AI integration and measurable operational outcomes — not strategy intent.
04 ▸
The procurement gate
Big-Four advisory proposals priced for scope expansion and a three-to-four-month delivery window. The board did not have that timeline. Lighthouse fit.
04 · SCOPE · TWELVE ENTERPRISE SYSTEMS
04 / 11
Twelve enterprise systems. Mapped, scored, authority-resolved.
The diagnostic audited every system carrying material operational signal. Each was mapped for authority, data flow, handoff quality, and audit-readiness. Authority ambiguity was scored on each: which system is the book of record when two systems disagree? In several cases the answer was unclear to operational staff — a pattern material to both AI deployment and audit readiness.
▸ Domain
N Systems in scope · book-of-record audit
C Scoring focus · authority + handoff
PRODUCTION · 4
Manufacturing Execution · Production Planning · Shop Floor Control · Quality Management
Authority ambiguity between MES and APS; downtime reporting reconciliation; OEE book-of-record.
WAREHOUSE & LOGISTICS · 2
Warehouse Management · Transport Management
Handoff quality between WMS and dispatch; rework loop detection; SKU aging.
ENERGY · ENVIRONMENT · SAFETY · 3
Energy Monitoring · Environmental Compliance · Safety Management
Energy-to-production linkage; near-miss reporting; ESG disclosure trail.
CORPORATE & COMPLIANCE · 3
Enterprise Resource Planning · HR Information System · ESG Disclosure Platform
Consolidation chain; reconciliation gaps under external audit; supplier evidence assembly.
▸ Twelve systems · authority-mapped · scored.
Book of record · written down.
05 · FINDINGS REGISTER · FOURTEEN CONFIRMED · FIVE REPRESENTATIVE
05 / 11
Fourteen findings. Five representative patterns.
The full findings register remains confidential to the client. Five generalized patterns are reproduced below — each confirmed with department heads and tagged by cost, urgency, and ESG/compliance impact. These are patterns common across industrial operations; the client-specific shape is not disclosed.
F-01
Authority ambiguity between production systems
Two production systems held overlapping authority for downtime reporting. Operators submitted data to whichever was convenient. Board-reported OEE reconciled from only one; a material fraction of recorded downtime did not surface in audit trails.
F-02
Manual ESG consolidation chain
Consolidated sustainability reporting required an analyst to manually compile outputs from multiple systems each quarter. The consolidation window exceeded ten working days. Two source systems produced outputs without reliable timestamps, generating reconciliation gaps under external audit.
F-03
Shift handover data loss
Shift handovers were recorded on paper and scanned into shared storage after shift end. Production incidents occurring near shift transitions showed statistically lower closeout rates than mid-shift incidents. Impact on rework scoped during engagement.
F-04
Energy monitoring decoupled from production context
Energy consumption was captured by meter but not linked to production batches, shifts, or product lines. ESG reporting could describe total consumption but not energy-per-unit-output — a material gap under tightening disclosure requirements.
F-05
Supplier quality documentation fragmentation
Supplier quality evidence was distributed across multiple systems. Acquisition diligence readiness and audit trail reconstruction required manual assembly — material for any scenario involving external scrutiny.
06 · OPPORTUNITY SET · SIX · AI + AUTOMATION · 30/60/90 SCOPED
06 / 11
Six ROI-quantified opportunities for applying AI and automation across operational workflows. Each scoped for 30/60/90 execution.
Findings consolidated into six prioritized opportunities — the AI-readiness plan the board commissioned. Each quantified against revenue impact, cost avoidance, or compliance risk reduction. Each scoped for an achievable 30/60/90 execution cycle with named owners. Half executable with existing systems and process change; half required new AI or automation build and integration across business objectives.
▸ Opportunity
O Type · generalized pattern
A 90-day action · scoped, owner-assigned
O-01
Production authority resolution (downtime reporting)
Governance decision + system reconciliation
O-02
ESG consolidation — AI-assisted automation
Data pipeline scoped across source systems; AI applied to disclosure consolidation workflow
O-03
Shift handover digitization + AI-assisted closeout
Pilot on selected production lines; AI applied to handover gap detection
O-04
Energy-to-production linkage for disclosure
Mapping exercise between systems
O-05
Supplier quality consolidation
Book-of-record migration plan
O-06
AI pilot-to-production governance instrumentation
Governance framework + first measurement cycle for applying AI across workflows at scale
▸ Six AI + automation opportunities · 30/60/90 scoped · named owners.
An AI-readiness plan. Decisions, not deliverables.
07 · TIMELINE · 10 BUSINESS DAYS · TWO PHASES
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Ten business days. Two phases. No ambiguity.
D 01–05
Discovery
Kickoff and hub activation. On-site walk-through. Systems inventory. Cross-functional interviews across departmental functions. Interim findings review with sponsor.
D 06–10
Synthesis
Cross-functional findings confirmation. ROI quantification. Opportunity prioritization and 30/60/90 scoping. Board evidence pack preparation. Final delivery via live hub. Executive debrief with COO, CFO, and audit committee chair.
08 · DELIVERY · WHAT THE CLIENT RECEIVED
08 / 11
Board-ready. Bilingual. Delivered live.
01 ▸
Enterprise Systems Map
Twelve systems mapped, scored for authority, data flow, handoff quality, and audit-readiness.
02 ▸
Operational Findings Register
Fourteen findings, confirmed with department heads, tagged by severity, system of origin, suggested owner, ROI band.
03 ▸
KPI Baseline
Cycle time, handoff quality, escalation readiness, pilot-to-production conversion. Methodology documented — reproducible on Day 100.
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ROI-Quantified AI + Automation Opportunity Set
Six opportunities for applying AI and automation across operational workflows, 30/60/90 scoped with named owners, milestones, and acceptance criteria — the board's AI-readiness plan.
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Board-Ready Evidence Pack
Bilingual deck plus written memo. Authored for audit-committee reading in one sitting.
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Live Engagement Hub
Bilingual, real-time. Sponsor and day-to-day owner watched findings, actions, and roadmap items as they evolved. Archival copy retained post-delivery.
07 ▸
Executive Debrief
Ninety minutes with COO, CFO, and audit committee chair on Day 10.
08 ▸
Data sovereignty compliance
Interview recordings, system exports, and working documents were deleted after final delivery; written confirmation provided for the audit committee's records.
09 · OUTCOME · FROM AI STRATEGY DEBATE TO AI-READY EXECUTION
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From AI strategy debate to AI-ready execution across business objectives.
The board accepted the findings register, the AI-readiness scoring, and the evidence pack. The engagement moved the client from AI strategy debate to specific, scoped workflows for applying AI across operational workflows — with named owners and a defined 30/60/90 cycle covering production, ESG, energy, and supplier-quality business objectives. The Design phase was commissioned within two weeks of final delivery.
10 · FOLLOW-ON · DESIGN PHASE COMMISSIONED
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Design phase commissioned within two weeks.
The client commissioned a Signal Collective Design phase to move a subset of the six opportunities into pilot-ready specifications. Deliverables included pilot specifications, owner assignments, integration scoping, and the 30/60/90 execution roadmap. Implementation was executed by a combination of the client's internal team, existing integration partners, and Signal Collective's sector specialists — with governance cadence held by the senior operations lead from the diagnostic.
▸ STUDIO CAPABILITY · WE BUILD SOFTWARE TOO
- The studio uses its own tooling inside the engagement itself — workflow mapping accelerated by tooling that reads system inventories and surfaces dependency edges; KPI baselines produced with reproducible measurement notebooks; bilingual memo drafting with review by senior operators.
- Signal Collective also builds and runs its own software, Frenzee, a sourcing and production tool for consumer brands.
- The AI-readiness diagnostic is more realistic when the team running it has also built and run its own software.
11 · YOUR ENGAGEMENT · 30-MIN SCOPE CALL · NO COMMITMENT
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▸ ANONYMIZATION NOTE
- Client identity protected. No reference to client name, exact sector subcategory, revenue band, exchange ticker, or workforce count.
- Engagement numbers are actual. Systems audited, findings confirmed, opportunities prioritized, duration, follow-on commissioning — these are the real figures from the engagement.
- Findings generalized to patterns. The five findings above are reproduced as patterns common across industrial operations; the client-specific shape remains confidential.
- Deliverable formats and methodology are accurate. Hub, register, KPI baseline, ROI-quantified opportunity set, bilingual delivery — all as delivered.