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AI 与智能体

落到实处的人工智能

我们在能够产生可衡量成效的环节应用 AI:文档、诉求受理、数据、视频流与重复性操作。智能体的每一次操作都有日志记录,责任决定由员工确认。

  • AI 分析数据与文档。
  • AI 生成建议。
  • AI 实时辅助坐席。
  • 由获授权的员工确认决定。

TEQ Intelligence Layer

TEQ Intelligence Layer

A platform layer shared by every solution in the ecosystem.

  1. 1数据Documents, registries, databases, event streams, video and source APIs.
  2. 2知识库A secured knowledge base with access control and versioning.
  3. 3模型Model Gateway: the right model per task, quotas, private perimeter.
  4. 4智能体An agent with a role, instructions, constraints and audited actions.
  5. 5工具Permitted tools: search, calculation, API calls, MCP servers.
  6. 6信息系统Writing the result back through controlled interfaces.
  7. 7员工An authorised employee reviews and confirms the decision.

orchestration

  • Agent OrchestratorManages agent roles, step sequencing and task handover between agents.
  • Model GatewayA single entry point to models: task routing, quotas, cost control and private perimeter.
  • API GatewayControlled access for agents and external systems with authentication and rate limits.
  • MCP-серверыConnecting tools and data sources to agents over a standardised protocol.
  • A2A-интеграцииAgent-to-agent interaction with fixed contracts and audit logging.
  • Инструменты и API агентовThe list of permitted operations: search, calculations, reads and writes to information systems.

knowledge

  • Enterprise RAGRetrieval and answer generation over corporate documents, respecting the user's access rights.
  • Защищённая база знанийA store of approved materials with versioning, sources and validity periods.

control

  • Identity and Access ManagementA single rights model: an agent acts only within the user's or role's authority.
  • ЖурналированиеAn immutable trail of requests, answers, sources used and operations performed.
  • Human-in-the-loopMandatory human confirmation points for accountable operations.
  • AI ObservabilityObservability of quality, latency, cost and tool usage frequency.
  • AgentOpsAgent operations: versions, releases, regressions, incidents and on-call.
  • GuardrailsConstraints on topics, actions and data, including prompt injection protection.
  • Evaluation pipelinesTest sets and metrics that gate the release of an agent version.
  • Защита персональных данныхMasking, minimisation and control over personal data passed to models.

deployment

  • Казахский и русский языкиTwo-language support in voice and text scenarios, including domain terminology.
  • On-premise и private cloudDeployment inside the client's perimeter, including closed network segments.

智能体类型

An agent is a role with a limited set of tools, access rights and audited actions.

AI 模块已经开发完成,可接入各解决方案,但尚未在客户处投入生产运行,目前可用于试点或实施项目。

  • Citizen AI Agent

    AI 模块可用

    Answers routine citizen questions and explains required documents and the service procedure in Kazakh and Russian.

    • Search over the service knowledge base
    • Document checklist generation
    • Escalation to a human operator

    Makes no service decisions. Answers come only from the approved knowledge base; ambiguous cases are escalated to an operator.

  • Operator Copilot

    AI 模块可用

    Assists the operator in real time: surfaces the regulation, drafts the conversation summary and a reply.

    • Dialogue summarisation
    • Regulation hints
    • Reply draft
    • Topic classification

    A reply is sent only after the operator confirms it. All hints are logged.

  • Document AI Agent

    AI 模块可用

    Recognises documents, checks completeness, detects discrepancies and prepares a routing card.

    • OCR and field extraction
    • Checklist validation
    • Registry cross-check
    • Request routing

    Approval or rejection is decided by an authorised employee. The agent records the basis of every check.

  • Workflow AI Agent

    AI-ready

    Monitors process flow: deadlines, owners, deviations and reminder preparation.

    • Deadline control
    • Deviation detection
    • Reminder generation
    • Escalation

    Process status changes happen only through permitted, logged operations.

  • Analytics AI Agent

    AI 模块可用

    Prepares analytical commentary on metrics, detects anomalies and drafts reports.

    • Data mart queries
    • Anomaly detection
    • Scenario modelling
    • Report draft

    Every conclusion references its data source. Publishing a report requires confirmation.

  • Project Portfolio Agent

    AI 模块可用

    Analyses the project portfolio: risks, resource load, likely delays and related assignments.

    • Delay forecasting
    • Workload analysis
    • Project document search
    • Minutes preparation

    A risk score is a recommendation. Project priority is decided by the manager.

  • Vision AI Agent

    AI 模块可用

    Processes computer vision events, builds an incident card and supports natural language video search.

    • CV event processing
    • Object tracking
    • Licence plate recognition
    • Video archive search

    An event is a signal for operator review, not a basis for automatic enforcement.

  • Network AI Agent

    AI-ready

    Tracks network health, forecasts load and assists with diagnostics and routine support.

    • Anomaly detection
    • Load forecasting
    • Diagnostics
    • Ticket automation

    Configuration changes are applied by an engineer. The agent prepares the action plan.

  • CRM Copilot

    AI 模块可用

    Builds the customer profile, summarises communications and suggests the next best action.

    • Customer 360
    • Communication summaries
    • Task creation
    • Semantic search

    Commercial commitments are made by employees. The agent never messages customers without confirmation.

  • IT Support Agent

    AI-ready

    Handles routine user requests, drafts solutions from the knowledge base and routes incidents.

    • Request classification
    • Knowledge base search
    • Solution draft
    • Service Desk routing

    Incident closure is confirmed by a support engineer.

AI Delivery Framework

AI deployment as an engineering process with verifiable results at every step.

  1. 1DiscoverDefine the task and the expected result.
  2. 2AssessAudit data, processes, risks and infrastructure.
  3. 3PrototypeBuild a limited working prototype.
  4. 4EvaluateTest quality, safety and economic effect.
  5. 5IntegrateIntegrate with data, documents, APIs and systems.
  6. 6DeployDeploy to cloud, private cloud or a closed perimeter.
  7. 7OperateMonitoring, AgentOps, quality and cost control.

AI 表述准则

We separate existing features, deployed AI capabilities, available modules and development directions. The phrasing “AI makes the decision on its own” is never used for government, financial or security-related processes.

  • 已实现The capability is implemented in the product.
  • 已投入运行The system is running at a customer site.
  • AI-readyThe architecture is ready for the AI layer.
  • AI 模块可用The AI module is built and connected separately.
  • 可开展试点A limited pilot deployment is possible.
  • 开发中The capability is under development.
  • 发展构想A development direction that requires further work.

语言与部署范围

Kazakh and Russian language support in voice and text scenarios. Deployment on-premise or in a private cloud.

各解决方案的 AI 能力

Every solution in the ecosystem has a defined set of AI features and a specialised agent.

有需要变成可运行系统的业务问题吗?

请介绍您的项目,TEQ 团队将提出可行的调研、开发或实施方案。