Enterprise AI · Hong Kong

Production-Grade AI Agent Systems, Engineered on the Cloud

We design, build, and operate autonomous AI agents that reason, use tools, and execute real business workflows — backed by secure, scalable cloud infrastructure.

0Agent capability modules
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0/7 Monitoring & support
AI Agent Solutions

Agents That Do Real Work — Not Just Chat

A chatbot answers questions. An agent completes tasks. We build agentic systems with planning, memory, tool use, and guardrails, designed for production from day one.

Multi-Agent Orchestration

Supervisor–worker architectures that decompose complex tasks and route them to specialised agents.

  • Planner / executor / critic patterns
  • Parallel task fan-out & aggregation
  • Inter-agent messaging protocols (MCP, A2A)
📚

RAG & Knowledge Grounding

Agents grounded in your documents, databases, and APIs — answers with citations, not hallucinations.

  • Hybrid vector + keyword retrieval
  • Document parsing: PDF, Office, scans (OCR)
  • Incremental knowledge-base sync
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Tool Use & API Integration

Agents that operate your actual systems: CRM, ERP, ticketing, spreadsheets, internal APIs.

  • Function calling & structured output
  • Browser & desktop automation
  • Legacy system adapters
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Human-in-the-Loop Control

Approval gates, escalation paths, and audit trails so autonomy never outruns accountability.

  • Configurable approval thresholds
  • Full decision & action logging
  • Rollback and safe-abort mechanisms
📈

Evaluation & Observability

Continuous evals, tracing, and cost dashboards — you see what agents do and how well they do it.

  • Golden-set regression testing
  • Token/latency/cost telemetry
  • Drift detection & alerting
🛡

Security & Compliance

Prompt-injection defence, data isolation, and regional data residency built into the stack.

  • PII redaction & role-based access
  • Sandboxed tool execution
  • Deployment in your VPC or on-prem
Reference Architecture

How Our Agent Platform Fits Together

A layered design: every agent action passes through guardrails and is fully traced, while the orchestrator coordinates specialised workers over your data and tools.

INTERFACES AGENT LAYER DATA & TOOLS Web / Chat UI REST / Webhook Slack / Teams / WeCom GUARDRAILS · AuthN/Z · PII redaction · prompt-injection filters · rate limits Orchestrator Agent planning · routing · memory · state Research Agent search · synthesise Data Agent SQL · analytics Ops Agent tickets · workflows Critic / Evaluator review · score · retry Vector Store embeddings · RAG Databases SQL · NoSQL Enterprise APIs CRM · ERP · SaaS LLM Providers multi-model routing Observability tracing evals cost telemetry audit logs alerting
Use Cases

Where Agents Deliver Measurable Value

Customer Operations

Agents that resolve tickets end-to-end: triage, look up orders, issue refunds within policy, and escalate edge cases to humans.

Support · CX

Document Intelligence

Extract, classify, and cross-check contracts, invoices, and regulatory filings — with citation back to the source page.

Legal · Finance

Data Analysis Copilots

Natural-language questions over your warehouse: agents write SQL, validate results, and produce charts and narratives.

BI · Analytics

Research & Monitoring

Continuous scanning of literature, competitors, and regulations — daily digests with verified sources, tuned to your watchlist.

Life Sciences · Strategy

Back-Office Automation

Reconciliation, order entry, and compliance checks across systems that never got APIs — agents bridge the gap.

Operations · Finance

DevOps & ITSM

Incident-response agents that gather diagnostics, propose remediation, open PRs, and document the fix.

IT · Engineering
Cloud Services

The Infrastructure Behind the Intelligence

Agent systems are only as reliable as the platform they run on. We provide the full stack — architecture, migration, and 24/7 managed operations.

☁️

Cloud Architecture & Migration

Landing zones, network design, IaC (Terraform), and workload migration to leading cloud platforms with minimal downtime.

⚙️

Managed Cloud Operations

Monitoring, patching, backup, cost optimisation (FinOps), and incident response under defined SLAs.

🔐

Cloud Security & Governance

Identity and access management, encryption, network segmentation, and compliance-aligned configurations.

Models: Claude · GPT · Gemini · open-weight LLMs Frameworks: LangGraph · Claude Agent SDK · MCP Retrieval: pgvector · OpenSearch · Elasticsearch Infra: Kubernetes · Terraform · Docker Clouds: AWS · Tencent Cloud · Azure · GCP Observability: OpenTelemetry · Grafana · Langfuse
Delivery Process

From First Workshop to Managed Operation

A staged approach that de-risks AI adoption: prove value on a narrow scope before scaling.

Discover

Process mapping, data audit, feasibility scoring, and ROI baseline. Typically 1–2 weeks.

Prototype

A working agent on your real data and one real workflow — not slides. 2–4 weeks.

Evaluate

Golden-set testing against human baselines; security review and red-teaming.

Deploy

Production rollout in your VPC with CI/CD, guardrails, and approval workflows.

Operate

24/7 monitoring, continuous evals, model updates, and monthly value reporting.

FAQ

Common Questions

A chatbot generates responses. An agent pursues goals: it plans multi-step tasks, calls tools and APIs, checks its own results, and asks for human approval when stakes are high. The engineering difference is state management, tool orchestration, and evaluation — that is where we focus.

Yes. We deploy inside your VPC or on-premises where required. Retrieval indexes, logs, and traces stay in your environment; model calls can be routed to region-appropriate endpoints, and PII is redacted before leaving your boundary.

We are model-agnostic. We benchmark candidate models against your actual tasks during the prototype phase and route different steps to different models where that improves cost or quality — including open-weight models hosted privately.

Three layers: grounding (RAG with citations, structured tool output), verification (critic agents and golden-set evals before every release), and containment (sandboxed tools, approval gates for irreversible actions, and full audit logs).

Discovery is a fixed-fee engagement. Prototypes are scoped per workflow. Production builds and managed operations are priced on scope and SLA. Contact us for a tailored proposal — we would rather quote a concrete plan than a vague range.

Contact

Tell Us About Your Workflow

Let's scope your first agent.

Describe the process you want to automate — we will respond with a feasibility view and a suggested first step.

Email: bertonheisme@gmail.com
Hong Kong SAR