AI advisory and delivery services.
With LoganAI, move from AI curiosity to operational advantage by grounding AI in your ERP data, business processes, and measurable outcomes. We help you identify, prioritize, design, and deploy AI that improves finance, supply chain, service, operations, and reporting across your business, then manage it for lasting value.
From strategy to running, governed AI
We help you decide where AI belongs and what stack fits your architecture, then build and operate it. Advisory sets direction; delivery makes it real.
Advisory services
- AI readiness and opportunity assessment
- Use-case portfolio and ROI roadmap
- Data foundation and governance plan
- Vendor/platform strategy and architecture
- AI policy, risk model, and adoption roadmap
Delivery services
- ERP knowledge assistants and enterprise RAG
- Role-based copilots and workflow agents
- Document intelligence and workflow automation
- Predictive analytics and decision intelligence
- Managed optimization, evaluation, and value tracking
Eight services, one operating model
ERP-agnostic by design, and always speaking to ERP-driven businesses. Engage a single service or sequence them from assessment to managed value.
AI Opportunity & Readiness Assessment
Assess AI maturity, data readiness, risk posture, current tools, and high-value use cases.
Deliverables: readiness scorecard, prioritized opportunity backlog, business case, roadmap.
AI Data Foundation & Governance
Prepare ERP and adjacent data for trusted AI use; define security, access, quality, lineage, and stewardship.
Deliverables: data readiness plan, governance model, data quality backlog, access design.
ERP Knowledge Assistant
Create a secure assistant over ERP documentation, SOPs, tickets, reports, training materials, and policies.
Deliverables: searchable assistant with citations, permissions, feedback loop, and evaluation set.
Role-Based AI Copilots
Assist finance, supply chain, customer service, sales operations, warehouse, and plant teams in daily work.
Deliverables: copilot prototypes, prompts, workflows, user guides, KPI measurement plan.
Workflow Agents & Automation
Design governed agents for repeatable tasks: order exceptions, collections follow-up, invoice triage, supplier risk, or service dispatch support.
Deliverables: agent workflow, human approval gates, monitoring dashboard, operating procedures.
Decision Intelligence & Predictive Analytics
Use ERP and operational data to improve forecasting, inventory, margin, service levels, and exception management.
Deliverables: models, dashboards, scenario tools, process adoption plan.
AI Governance & Adoption
Create practical rules for responsible AI, human validation, model selection, monitoring, training, and change management.
Deliverables: AI policy, risk framework, adoption playbook, training and communication assets.
Managed AI Optimization
Continuously evaluate AI outputs, collect feedback, tune retrieval, monitor drift, and expand use cases.
Deliverables: monthly scorecard, backlog, improvements, governance checkpoints, ROI updates.
ERP-agnostic by design, production-minded
A consistent way to explain AI solutions without locking you to a single ERP or model provider, and proof that we are thinking beyond demos and into production.
1Business workflow
Finance, supply chain, manufacturing, distribution, customer service, field service, sales operations, procurement, warehouse, quality, and executive decision workflows.
2AI experience
Chat assistants, embedded copilots, role-based interfaces, workflow agents, dashboards, notifications, and mobile or Teams-style experiences.
3Orchestration
Prompt management, tool calling, API actions, workflow automation, human approvals, queue handling, exception routing, audit logs, and monitoring.
4Knowledge & retrieval
RAG over approved documents, SOPs, ERP help, tickets, reports, contracts, policies, and implementation artifacts. Answers cite sources and respect permissions.
5Data & integration
ERP, CRM, MES, WMS, EDI, PLM, e-commerce, data warehouse/lakehouse, BI semantic model, master data, and governed APIs.
6Model & platform
Model and deployment options selected by your needs: Microsoft Azure AI/Foundry, Copilot, OpenAI, other enterprise LLMs, data platforms, automation tools, and ERP-native AI.
7Governance
Security, privacy, NIST AI RMF alignment, access control, evaluation, human review, retention, explainability, change management, and value tracking.
Design principle: Keep ERP as the system of record. Use AI as the system of assistance, insight, and governed action.
AI is not a separate island
For manufacturers and distributors, the ERP is the operating memory of the business: items, customers, suppliers, routings, BOMs, costs, inventory, invoices, orders, shipments, and financial controls. AI becomes valuable when it works with that operating memory and improves the way people make decisions and complete work.
Turn AI curiosity into operational advantage
Start with a focused AI Opportunity Assessment. We will identify practical use cases, confirm data readiness, define governance needs, and build a roadmap from first pilot to scalable, measured value.
Two North Riverside Plaza, Suite 1440, Chicago, IL 60606 · 312-345-8800 · info@loganconsulting.com
