Scattered knowledge
Policies, product files, cases, and meeting notes live in different places.
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DEDICATED ENTERPRISE DEPLOYMENT · LECIOS WORKSPACE
Enterprise AIIntelligent Server
Deploy a dedicated enterprise AI server with LeciOS connecting knowledge, operating data, AI conversations, digital workers, tasks, human approvals, automated reports, and management views.
Product scopeDemo and scopeThe formal delivery list prevails
ENTERPRISE AI NODEAI ServerLECIOS / LOCAL NODE
Files and knowledgeOperating data and recordsAI workspaceDigital workers and SkillsTasks and human approval01
WHY NOW / THE OPERATING GAP
The problem is rarely buying AI. It is putting AI into daily work.
When documents, data, processes, and teams remain disconnected, even a strong model cannot become an enterprise capability.
Answers without evidence
Generic AI answers are difficult to trace back to approved company sources.
Limited management visibility
Updates, follow-ups, and risks lack a single briefing view.
Experience stays personal
Critical know-how is not captured as repeatable workflows and tools.
02
SYSTEM / EIGHT CAPABILITY DOMAINS
One workspace connects eight enterprise capability domains
The intelligent AI server works with existing systems, connecting knowledge, business views, AI, tasks, and human approvals inside an enterprise-controlled environment.
Files and knowledge
Ingest, parse, retrieve, and cite authorized company information.
Operating data and records
View customers, projects, orders, tasks, and risks through tables, boards, and dashboards.
AI workspace
Use AI for knowledge, business queries, analysis, and authorized controlled actions.
Digital workers and Skills
Combine knowledge, tools, and approved capabilities around a role.
Tasks and human approval
Assign risks and retain human approval for high-risk or external actions.
Reports and cockpit
Generate summaries, metrics, risks, actions, and traceable source status.
Permissions, audit, and operations
Control data scope, record actions, and support backup, recovery, and upgrades.
MCP, REST, and connectors
Expose approved capabilities to Codex and connect existing systems by scope.
Build a repeatable path from company knowledge to management action
Ingest
Import approved documents, SOPs, FAQs, meeting notes, and sample tables.
Retrieve
Ask in natural language and review relevant source material.
Use tools
Query approved sources and produce structured results.
Brief management
Summarize risks, tasks, owners, and next actions.
Reuse by role
Turn frequent tasks into Skills, workflows, and future Agents.
DAILY MANAGEMENT VIEW
Open the dashboard and see what needs attention today
The briefing is designed to shorten the path to decisions, not add another system to maintain.03
USE CASES / STARTING POINTS
Start with one role and one recurring problem
Choose a focused task with visible inputs, outputs, owners, and review points.
Sales and service
Find product facts, summarize customer needs, and check information before quoting.
HR and onboarding
Turn policies and role guides into onboarding questions and learning paths.
Projects and delivery
Structure meeting notes, progress, owners, deadlines, and risks.
Finance and operations
Summarize collections, operating tables, and exceptions for daily or weekly reviews.
Marketing and content
Manage brand knowledge and turn feedback into content drafts.
Production and operations
Find SOPs, summarize exceptions, and build repeatable checklists.
STANDARD DELIVERY / ENTERPRISE AI SERVER
Prove one real business loop, then expand
The demo distinguishes current capabilities, standard delivery, optional connectors, and custom integration. The signed delivery scope remains authoritative.Current standard edition
Enterprise AI server, LeciOS workspace, knowledge, operating views, AI, tasks, approvals, and operations
Initial business loop
Validate a real path across data, analysis, tasks, approval, reporting, and audit
Training and handover
Enable administrators and first users with assets, permissions, backup, and recovery guidance
Official options
Select productized connectors when available and appropriate
Custom integration
Scope complex governance, system write-back, proprietary workflows, and industry capabilities through the enterprise AI implementation team
Product direction
Digital workers, Skills, connectors, and industry capabilities continue to expand without becoming default current commitments
04
DELIVERY / IMPLEMENTATION AND ACCEPTANCE
Move from use-case definition to acceptance with real data
Each stage has a defined client input and an observable output.
Confirm use case and boundaries
Select the first business loop and define data, roles, human review, and acceptance.
Deploy environment and permissions
Configure the enterprise AI server, LeciOS, organizational roles, data scope, and basic operations.
Prepare data and knowledge
Import real samples and establish sources, permissions, and required data-quality rules.
Configure business capabilities
Configure AI, digital workers, tasks, reports, or connectors for the initial loop.
Validate with real data
Test retrieval, permissions, approval, reporting, audit, and exception handling.
Train and hand over
Complete user training, asset inventory, backup and recovery, scope notes, and the next-stage roadmap.
Every delivery result has a clear acceptance check
- The enterprise AI server can be restarted, backed up, restored, and upgraded
- Files and knowledge can be ingested, retrieved, and traced to sources
- Users can access only information permitted by their role and data scope
- Risks, tasks, and reports can be traced to sources, owners, and status
- Controlled write actions pass permission checks, required human approval, and audit
- The initial business loop is validated with real data and handed over with training
A good fit for enterprises that
- Have valuable documents that are difficult to find and verify
- Repeat onboarding, meeting, risk, and reporting work
- Need a daily management summary and action view
- Want a controlled foundation before expanding Agents and workflows
These needs require separate scoping
- A complete company-wide AI transformation in one purchase
- Large-scale historical document cleanup and complex permissions
- Deep write-back to ERP, CRM, OA, MES, or finance systems
- Automated approvals, payments, contracts, shipments, or unreviewed external messages
05
FAQ / Frequently asked questions
How is this different from a knowledge base?
Knowledge is one domain. The intelligent AI server also connects operating data, AI, digital workers, tasks, human approvals, reports, permissions, audit, and extension interfaces.
How is the AI server delivered?
Server configuration, deployment model, ownership, software version, and delivery scope are confirmed during the demo and formal proposal based on data volume, users, and use cases.
Can it replace employees?
No. AI supports retrieval, analysis, suggestions, and drafts. People retain confirmation and accountability, while the system executes and records approved actions.
What if we have a large document archive?
The first phase selects real data and a verifiable business loop. Large-scale cleanup, complex permissions, and cross-system governance are scoped separately.
Can we add Agents and system integrations later?
Yes. Optional connectors and custom integrations are evaluated against the current product version, permissions, risk, and acceptance requirements.
NEXT STEP / PRODUCT DEMO