AI CAPABILITIES / Capabilities

Developing, deploying and integrating enterprise AI

We look at an AI project in three layers: the application layer that decides whether it is useful, the platform layer that decides whether it is accurate, and the infrastructure layer that decides whether it can enter the enterprise. Only when all three are delivered is it genuinely live.

01 / CAPABILITY LAYERS

All three layers in place, and AI is genuinely live

The application layer alone becomes a demo; the platform layer alone becomes an idle tool; skip the infrastructure layer and it never reaches production.

APPLICATION

Application layer

Decides whether AI is useful

  • Agents and business-process orchestration
  • Conversational assistants (internal / external)
  • Document parsing, extraction and review
  • Natural-language data analysis
  • Content generation and writing assistance
  • Multi-agent collaboration and cross-checking
PLATFORM

Platform layer

Decides how well AI works

  • Enterprise knowledge base and RAG
  • Unified model access and routing
  • Side-by-side model evaluation
  • Prompt and workflow template management
  • Quality monitoring and regression testing
  • Token and concurrency cost management
INFRASTRUCTURE

Infrastructure layer

Decides whether AI can enter the enterprise

  • Public cloud / private cloud / on-premise
  • Multi-region deployment and data residency
  • Permissions, quotas and role isolation
  • A full audit trail of conversations and actions
  • High availability and clustered deployment
  • Operations monitoring and cost dashboards
02 / DELIVERY CATALOGUE

Buy a single module, or combine them into one project

Each module below can be delivered on its own or combined around your project goal. Timelines are indicative and confirmed in the proposal.

ModuleWhat we deliverIndicative timelineDelivery format
Agent developmentProcess mapping, node orchestration, multi-agent collaboration, debugging and versioning3–8 weeksCustom build
Conversational applicationsKnowledge assistant / customer service / internal help desk, with human handover2–6 weeksCustom build
Document intelligenceMulti-format parsing, field extraction, comparison and review, report drafting3–8 weeksCustom build
Data analysis assistantNatural-language queries, unified metric definitions, chart generation, sourced conclusions4–10 weeksCustom build
Enterprise knowledge baseDocument and web ingestion, taxonomy, tiered permissions, maintenance routine2–5 weeksPlatform + service
RAG optimisationChunking and embedding strategy, retrieval re-ranking, citation tracing, QA evaluation2–4 weeksTargeted optimisation
Model selectionModel comparison and recommendation by quality / concurrency / cost1–2 weeksAdvisory + evaluation
Multi-model evaluationEvaluation-set design, side-by-side testing, gradual rollout and acceptance2–4 weeksTargeted development
Private & on-premise deploymentDeployment in your own cloud or data centre, residency design, permissions and audit setup4–10 weeksImplementation
Multi-region deploymentRegion-by-region deployment with local data residency for each market's rules6–14 weeksImplementation
System integrationIntegration with ERP / CRM / OA / ticketing systems and workplace platforms2–6 weeksCustom build
Multi-channel releaseWeb, H5, QR code, official accounts, WeCom, server-side API1–3 weeksConfiguration + development
AI governancePermission and quota framework, audit trails, content-safety policy2–6 weeksAdvisory + implementation
Cost optimisationToken usage analysis, caching and routing strategy, concurrency capacity planning1–3 weeksTargeted optimisation
Compliance platform (supplier ESG)Supplier ESG data collection, metric verification, on-chain attestation and disclosure papers4–10 weeksPlatform + service
Compliance platform (EU packaging)Packaging list and BOM, recyclability and recycled-content gap analysis, DoC and EPR material4–10 weeksPlatform + service
03 / TECHNOLOGY & ECOSYSTEM

Not tied to a single vendor — chosen by scenario

We stay neutral on models and tools: selection follows the data characteristics, concurrency scale, compliance requirements and budget of the scenario, not a reseller relationship.

Large language models

DeepSeekQwenZhipu GLMERNIEMoonshotLlama familyMainstream commercial model APIs

Retrieval & knowledge

BGE-M3 embeddingsVector databasesHybrid keyword + vector searchRe-ranking modelsMulti-format document parsing

Orchestration & protocols

Agent workflowsFunction callingMCP tool integrationServer-side API callsSandboxed code execution

Runtime environments

Public cloudPrivate cloudOn-premise data centreHybrid cloudMulti-region deploymentContainerised deployment

Systems & channels

FeishuDingTalkWeComTeamsStandard REST APIWeb / H5 / QR code
04 / BOUNDARIES

Stating the boundaries up front

What we do not do
We do not build ghost-writing or academic-misconduct tools; we do not build features that evade review, falsify data or circumvent regulation; and we do not use client data to train models without authorisation.
On the limits of conclusions
What we provide is system capability and data support. It does not replace legal, financial or compliance advice, and we promise no particular review outcome. The supplier ESG and EU packaging platforms output data organisation and gap analysis; a formal conclusion must be reviewed by a professional firm against the actual documentation.
On the limits of data
By default, project data stays within the region and environment you specify. Any cross-border transfer is explained to you in writing in advance, and the decision is yours.
05 / NEXT STEP

Tell us your scenario and we will tell you what is feasible

One email is enough: describe the business scenario, the data you have today and the outcome you expect. We will assess feasibility first, then talk about solution and budget.

Book a discovery callSee client cases