AI-FDE · AGENT DELIVERY
Enterprise AI Agent and FDE Delivery Services
From business diagnosis and working prototypes to private deployment, integration and ongoing operations, we turn AI ideas into systems that can be tested, accepted and maintained.
Lanever does not start by asking which model or tool you want to buy. We start with the business workflow. Our FDE delivery approach combines agent orchestration, Dify, enterprise knowledge systems and production IT infrastructure so clients can validate one valuable use case before scaling safely.
SERVICE PATHS
Choose the Right AI Delivery Entry Point
Dify Private DeploymentDeliver platform, models, knowledge, APIs and operations together.
Knowledge Base and RAGTurn enterprise sources into cited, permission-aware knowledge.
Agent Integration and GovernanceConnect systems with permissions, approvals, logs and rollback.
OPC Automation WorkspaceDeploy OpenClaw, Hermes, Codex-style agents and operating workflows.
BUSINESS OUTCOMES
Business Scenarios Worth Building
Enterprise Knowledge
Connect policies, manuals, contracts, product information and service records to deliver permission-aware answers with sources.
Sales and Follow-up
Organize leads, summarize conversations and prepare next actions while keeping people in control of external communication.
Operations and Documents
Process forms, reports, email, tickets and cross-system data through observable workflows.
Engineering Collaboration
Deploy Codex, OpenClaw, Hermes and related agents across code, documentation, testing and approval workflows.
Customer Support
Route questions, retrieve trusted context, draft responses and escalate sensitive cases to human owners.
OPC Automation Workspace
Build an agent operating environment for founders and small teams across content, development, customer response and operations.
FDE DELIVERY
Delivery Path from Opportunity to Production
-
Diagnose
Interview process owners and define goals, data, systems, human decisions and measurable success criteria.
-
Prototype
Build an operable demo with real samples to validate output quality, workflow fit and user experience.
-
Productionize
Add permissions, logs, testing, monitoring, backup, failure handling and deployment documentation.
-
Operate
Review retrieval quality, failure samples, model cost and business feedback, then improve with evidence.
DELIVERABLES
What You Receive
The deliverable is not just a demonstration. It is a set of assets your team can test, accept, operate and maintain.
- Business scenario map and priorities
- Agent workflow, prompt and tool design
- Working prototype and evaluation samples
- Deployment environment, permissions and data boundaries
- Acceptance criteria, runbook and handover documentation
- Monitoring, cost and improvement plan
FAQ
Frequently Asked Questions
Which agent use case should we start with?
Start with a frequent workflow that has clear inputs, verifiable outputs and a practical human review point before allowing autonomous action.
Do we have to use Dify?
No. Dify is one possible component. We select the stack based on data, integration, security, cost and maintainability.
Can the system run on our own infrastructure?
Yes. We support on-premises, private cloud, public cloud and hybrid deployment based on risk and operating requirements.
Start with One Workflow Worth Deploying
You do not need a large AI platform on day one. We first define the business goal, data boundary and success criteria, then use one verifiable pilot to decide what should scale.