LAPUS
ServicesFrom plan to delivery

ServicesOutcome-driven delivery for business

We turn complex requirements into shippable milestones: strategy & IA → engineering → launch and growth—with strong focus on enterprise AI applications, knowledge copilots, operational agents, and complex workflow orchestration.

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Capabilities

Software, AI agents, data & cloud, integration & security, plus design and digital content production.

Software & Custom Systems
Web portals, business systems, admin dashboards, integrations, and ongoing iteration.
Industry AI Agents
Content, ops, support, analytics—from framework selection across OpenClaw, Dify, LangChain, and Flowise to production rollout.
Data Services
Pipelines, governance, analytics, and dashboards to power decisions.
Cloud & Integration
Cloud deployment, cost optimization, stability and observability.
Security & Trust
Permissions, audit trails, data isolation; optional provenance & attestation.
Design & Digital Creative
Brand, visual design, exhibitions, digital content production, and industrial design.

Delivery Process

We break complex work into verifiable phases—each with goals, deliverables, and acceptance criteria—then iterate with a weekly cadence.

Phase 01
Discovery & Solution
Align goals, scope, priorities, and milestones.
Outputs: PRD, IA, plan, acceptance
Phase 02
PoC / MVP
Validate critical paths first—visible results, controlled risks.
Outputs: demo, KPIs, risk list
Phase 03
Engineering Delivery
Implementation, quality, deployment pipeline, observability.
Outputs: code, deploy, monitoring, runbook
Phase 04
Launch & Iterate
Optimize stability, conversion, and scalable content ops.
Outputs: weekly report, roadmap, dashboards
Deliverables

Not just code—an operable, maintainable system your team can own.

Requirements & acceptance
IA / UX / visual specs
Repo / CI / deploy scripts
Performance/security baselines
Monitoring/logging/alerts
Runbook & handover training
Engagement Models

Choose what matches your organization and budget model.

Weekly Iterations (Recommended)
Milestones + weekly delivery—ideal for growth and discovery.
Fixed-scope Delivery
Clear scope and acceptance—ideal for redesigns and hard deadlines.
Retainer Support
Ongoing optimization, stability, and collaboration for evolving systems.
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Industry AI Agents

Production-ready AI agents for business workflows, content, operations, and analytics—secure, auditable, and fully integrated.

Content Agents
SEO content, product descriptions, campaign pages, structured outputs.
Ops Automation
Email/social/campaign automation with measurable KPIs and A/B loops.
Support & Ticketing
Knowledge base Q&A, clarifying questions, ticket creation and routing.
Analytics Agents
Report interpretation, anomaly alerts, actionable recommendations.
System Integration
Connect CRM/ERP/ticketing/email/content systems for closed-loop delivery.
Security & Audit
Permissions, data isolation, audit logs, and observability.
AI Delivery Method

We do not treat AI as a chat layer only. We design knowledge governance, task orchestration, execution traceability, human review, and production operations together so the system can enter real workflows.

• Define goals, risk boundaries, and takeover checkpoints before choosing frameworks.
• Validate the critical path with a PoC, then harden permissions, monitoring, cost, and stability.
• Treat prompts, knowledge sources, flow graphs, and audit logs as long-term assets rather than temporary setup.
Open-source Framework Stack

Depending on the scenario, we combine OpenClaw, Dify, LangChain / LangGraph, and Flowise to cover execution, knowledge, orchestration, and visual collaboration.

OpenClawDifyLangChainLangGraphFlowiseRAG

AI Project Spotlights

These are not just technology labels. They are delivery-ready project directions covering knowledge copilots, complex orchestration, operational agents, and visual workflow systems.

OpenClaw Agent Ops
For browser and desktop execution, repetitive back-office actions, and operational inspections.
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Dify Knowledge Copilot
A governed knowledge layer for support, sales, and internal enablement.
View project
LangChain RAG Orchestrator
For multi-step tasks, tool use, and structured decision support outputs.
View project
Flowise Agent Workflows
For co-created AI workflows, fast iteration, and long-term workflow governance.
View project
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FAQ

Common questions about timelines, acceptance, integrations, and security.

What’s a typical timeline?
It depends on scope and integration complexity. We usually start with a PoC/MVP, then scale via weekly iterations.
How do you ensure quality & maintainability?
Coding standards, CI, observability and runbooks ship together; critical modules can be covered with automated tests and auditability.
Can you integrate with our systems?
Yes—CRM/ERP/ticketing/email/content systems with clear interfaces and access boundaries.
How do you handle data & security?
Permissions, isolation, audit logs, and observability are baseline; private deployments and stricter controls are available for compliance.