Tool
Operational ERP
Knows
Operations, stocks, purchasing — often delayed.
Business function served
AI for operations: from firefighter ops director to multi-site predictive pilot
The operations director permanently suffers urgency: unanticipated incidents, poorly allocated resources, delayed reporting. Access International orchestrates an intelligence layer to transform ops into a predictive pilot.
Observation
The reality: ops director suffers urgency instead of preventing it
Operations director spends most time managing unexpected events.
Meanwhile, operational requirements rise.
Risk for company is not ops director breaking, it is unanticipated major incident costing millions.
Scattered tools
The scattered tools slowing operational piloting
Tool
MES, WMS, TMS
Knows
Real-time operational flows — but disconnected.
Tool
Maintenance CMMS
Knows
Interventions, equipment — not predictive.
Tool
Project management tools
Knows
Tasks, deadlines — without derailment prediction.
Tool
Quality and incident tools
Knows
Non-conformities — poorly connected to production.
Tool
Operational analytics and BI
Knows
KPIs — often delayed.
Tool
EDM procedures
Knows
Process documented — often obsolete.
Tool
Project manager and ops manager memory
Knows
Arbitrations — undocumented.
Ops director permanently suffers urgent calls. Project manager doesn't know project is derailing.
The Access solution
Access AI orchestration layer for operations
Our approach is not a new ERP nor MES. It is an orchestration layer connecting to existing.
Workflow 01
Workflow 01 — Real-time multi-site operational dashboard
Ops director pilots on delayed KPIs. With orchestration: real-time data aggregation, role-adaptive dashboards.
Technology
ERP/MES/WMS/CMMS connectors, predictive models.
Customer impact
CEO pilots company in complete information.
Business impact
Improved decision reactivity.
Operations impact
Ops director shifts from firefighter to pilot.
Workflow 02
Workflow 02 — Incident prediction and transversal predictive maintenance
Incidents detected late. With orchestration: continuous weak signal analysis.
Technology
Multi-source anomaly ML detection.
Customer impact
Client no longer impacted by predictable incidents.
Business impact
Massive unplanned incident reduction.
Operations impact
Ops teams shift from reactive to predictive.
Workflow 03
Workflow 03 — Logistics and supply chain flow optimization
Supply chain suffers shortages. With orchestration: multi-level demand prediction.
Technology
Time-series forecasting.
Customer impact
Client finds products, orders arrive on time.
Business impact
Reduced dormant stocks.
Operations impact
Supply chain director pilots proactively.
Workflow 04
Workflow 04 — Operational procedure knowledge management
Procedures live in scattered PDFs. With orchestration: continuous capture and indexing.
Technology
RAG on procedures + field feedback.
Customer impact
Quality and safety improve over time.
Business impact
Ops knowledge preservation.
Operations impact
Field accesses right procedure at right moment.
Workflow 05
Workflow 05 — Project manager copilot and derailment anticipation
PM discovers derailments late. With orchestration: continuous progress analysis.
Technology
Derailment predictive models.
Customer impact
Client proactively informed.
Business impact
Project margin preserved.
Operations impact
PM shifts from suffering to anticipating.
Workflow 06
Workflow 06 — Multi-site operational performance reporting
CEO asks for group ops performance. With orchestration: automatic multi-site aggregation.
Technology
Multi-site connectors.
Customer impact
Board receives deep, on-time ops reportings.
Business impact
Ops director frees 10-15h monthly.
Operations impact
Standardization without personalization loss.
Workflow 07
Workflow 07 — Ops administrative task automation
Admin tasks consume brain time. With orchestration: repetitive task automation.
Technology
AI agents for simple workflows.
Customer impact
Deadlines shorten.
Business impact
Reduced ops administrative cost.
Operations impact
Operationals shift from entry to exception management.
Step-by-step process
Daily / weekly / monthly operational piloting cycle
Modern ops piloting organizes on three frequencies.
D1
Daily — alerts and incidents
Real-time dashboard, prioritized alerts.
D2
Daily — operational flow
Production, quality, delivery monitoring.
W1
Weekly — performance piloting
Weekly ops committee with aggregated dashboard.
W2
Weekly — projects and programs
Project progress monitoring.
W3
Weekly — supply chain
Anticipation of shortages, overstocks.
M1
Monthly — multi-site performance
Consolidated multi-site reporting.
M2
Monthly — capacities and resources
Resource allocation, hiring.
M3
Monthly — knowledge and continuous improvement
Feedback capitalization.
Doctrine — side by side
Reactive ops vs predictive ops: the line that makes margin
Ops function lives a fracture.
Reactive ops (absorbed model)
- Piloting on delayed KPIs (monthly)
- Incident discovery during incident
- Firefighter supply chain management
- Procedures in obsolete Drive PDFs
- PM discovering derailments late
- Time-consuming weekend board reporting
Predictive ops (leading model)
- Real-time multi-site piloting with adaptive dashboards
- Early incident detection before production impact
- Predictive supply chain with 7-14 day anticipation
- Living procedures accessible via conversational RAG
- PM equipped with anticipated derailment alerts
- Branded automated board reporting
Doctrine
Operating principle: transform ops function into predictive pilot
All these workflows share a single doctrine: transform ops function into predictive pilot.
Compliance
Native compliance for operations
ISO 9001 and quality
Architecture compatible with ISO 9001 requirements.
ISO 14001 and environment / CSRD
Architecture compatible with sustainability reporting.
ISO 45001 and health safety
Safety anomaly detection.
AI Act ops use
Limited risk for most workflows.
OT cybersecurity (NIS 2 if applicable)
For OIV/OSE, NIS 2 compliance.
Typical roadmap
Typical roadmap for operations department
Phase 1
Phase 1 — Pilot
Real-time multi-site ops dashboard + incident prediction deployed.
Duration
3 to 4 months
Phase 2
Phase 2 — Extension
Supply chain optimization, PM copilot, KM deployed.
Duration
6 to 9 months
Phase 3
Phase 3 — Industrialization
Complete orchestration layer.
Duration
12 to 18 months
FAQ
Frequently asked questions
What AI workflows does Access International deploy for operations?
Access International orchestrates 7 AI workflows for operations: real-time multi-site dashboard, incident prediction, supply chain optimization, procedure knowledge management, PM copilot, multi-site performance reporting, ops admin task automation.
How does Access International transform reactive ops into predictive pilot?
Our orchestration aggregates real-time data, applies predictive models, generates prioritized alerts. Ops director shifts from firefighter to pilot.
How does Access International integrate with operational ERPs?
Our orchestration layer connects to main operational ERPs and business systems.
How does Access International support CSRD reporting?
Architecture compatible with CSRD obligations.
What is the timeline for an ops director to see measurable gain?
On real-time dashboard pilot, gain measurable in 12-16 weeks. Full industrialization in 12-18 months.
What ISO and AI Act compliance for ops workflows?
Architecture compatible with ISO 9001, 14001, 45001. AI Act limited risk.
Products applicable to your business function
Products applicable to your business function
11 products from the Access International catalog address the operations function.
05
DeliveredDigital Audit 360° — Security, UX, SEO, performance, compliance
Complete and actionable view of your digital presence, across all critical dimensions.
In-depth audit on all dimensions of your digital presence: application and HTTP security, user experience and accessibility, performance, organic SEO, legal compliance, social pres…
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09
DeliveredDesktop AI Terminal — Unified local interface
Analyst productivity on local workstation, sensitive contexts mastered.
Desktop application integrating multiple AI models and business tools in a unified interface. Local confidentiality for contexts where data must not transit through the cloud.…
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10
In progress / availableAI Tourism Orchestration — Dynamic workflows on client log analysis
The right message, to the right visitor, at the right time. Dynamic workflows triggered by deep client log analysis.
AI orchestration layer for national or regional tourism ecosystems. Connects destination CRMs, hotel Property Management Systems, airline reservation systems, and analytics. Goes b…
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13
In progress / availableEnterprise document RAG
AI-augmented search on your document heritage — no hallucination, with sourced citations.
RAG (Retrieval-Augmented Generation) platform connected to your internal sources (legal, HR, technical, contracts, regulatory, finance, accounting). Sourced responses with document…
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15
DeliveredHITL Framework — Human validation loop for AI
Keep humans in the decision on critical cases, at scale.
Industrial Human-in-the-Loop framework: human validation interface on AI outputs, case queue to arbitrate, confidence scoring, human/AI agreement metrics, continuous learning from …
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17
In progress / availableHospitality reception chatbot — Internal assistant and upselling
Internal tool for reception staff: find customer info in two seconds, suggest the relevant action or upsell.
Conversational chatbot for hotel reception staff (internal use, not end customer). Connected to PMS, CRM, and the establishment's knowledge base. The receptionist queries in natura…
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18
In progress / availableAI Banking Orchestration — Dynamic workflows on client log
Deep banking client log analysis, contextual workflow triggering: product reco, fraud alert, credit opportunity, complaint management.
AI orchestration layer for banking players: deep client log analysis (transactions, interactions, life events, risk signals) and dynamic contextualized workflow triggering. Product…
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20
In progress / availableATLAS Robotics — Industrial robot code analysis and optimization
Read, document, and optimize legacy KRL, RAPID, URScript, Karel, or Ladder code. No cross-brand migration, no safety recertification — just understand and improve what is already running.
Application of the ATLAS methodology (proven on ten legacy migration POCs from COBOL, Delphi, BizTalk to modern stacks) to multi-brand industrial robotics. ATLAS Robotics addresses…
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21
DeliveredATLAS Legacy — AI-assisted modernization of COBOL, Delphi, and BizTalk applications
Read, understand, and rebuild critical legacy code with proven functional parity — AI-assisted, human-validated.
Productized application of Access International's ATLAS methodology (10 steps, 9 principles, 56 learnings, 19 pitfalls) to legacy modernization: COBOL mainframe, Delphi desktop, Bi…
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23
DeliveredAgentic workflows — Multi-agent AI orchestration in production
Run multiple specialized AI agents together, on real business task chains — without breakage and without rogue agents.
Design and operation of agentic workflow chains: several specialized AI agents (research, writing, validation, publishing) coordinated around explicit orchestration (n8n, Airflow, …
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24
Internal testLotus Notes / HCL Domino estate recovery
Recover and make usable a Lotus mail history that nobody in the company can open any more.
Many companies keep a Lotus Notes / HCL Domino server on life support for one reason only: years of exchanges, decisions and attachments are locked inside it. The usual reflex — gr…
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Sectors where these solutions are already deployed
Sectors where these solutions are already deployed
Glossary
Key terms used in this page
Short definitions and authoritative sources on the foundational notions of this function.
Other functions served
Other functions served
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