AI Agent Design

Software and AI engineers collaborating with a client team.

AI Agent Design

Techwall architects production-grade AI agents: from single-purpose assistants to multi-agent systems with tool use, memory, guardrails, and enterprise integration. We design for reliability, observability, and the path to deployment on your stack or ours.
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Techwall AI Agent Design defines architecture, tool boundaries, and the operational model before integration work starts. The agent has to survive production traffic, changing APIs, and real user behavior.

We work with product leaders, CTOs, and innovation teams who need agents that connect to real systems: CRMs, ERPs, factory MES, device fleets, and custom APIs.

  • Single-agent workflows

    focused assistants with clear scope, tool access, and escalation paths.
  • Multi-agent systems

    planner/executor patterns, specialist sub-agents, and supervised handoffs.
  • Tool & MCP layers

    structured connectors so models invoke APIs safely and predictably.
  • Guardrails

    input/output filters, policy checks, approval gates, and audit trails.
  • Physical AI agents

    agents that bridge cloud reasoning with edge devices and manufacturing workflows (Physical AI hub).
  • 01 - Discovery

    map stakeholders, data sources, latency requirements, and compliance constraints.

  • 02 - Use-case framing

    define agent roles, success metrics, and what stays human-owned.

  • 03 - Architecture draft

    diagrams for agent graph, tool registry, auth model, and deployment topology.

  • 04 - Prototype scope

    thin vertical slice to validate tool calls and failure modes.

  • 05 - Production roadmap

    phased rollout tied to harness & eval design and optional forward deployed engineering.

Engineers reviewing agent architecture and test results.

Design you can ship

Architecture, tools, and eval suites are scoped for your stack and security rules. We document what production promotion requires before you scale users.

  • Architecture decision record (ADR) and system diagrams
  • Tool/MCP specification with schemas and error contracts
  • Guardrail & security checklist
  • Pilot backlog with acceptance criteria
  • Technology recommendations (models, frameworks, observability)

How This Differs From Integration

Our AI Agent Enterprise Integration service focuses on wiring agents into N8N, Make, Zapier, and existing automation stacks. Agent Design is upstream: the blueprint that makes integration durable. Many clients engage Design first, then Integration or FDE for rollout.

Awards and Certifications

award

Business Social Compliance Initiative (BSCI)

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ISO 9001: Quality Management Systems (QMS)

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iF International Design Award

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Kind + Jugend Innovation Awards

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ATEX, IECEx Explosive Products Certification

award

EU CE Declaration of Conformity

award

Federal Communications Commission FCC Certification

award

Bluetooth Low Energy

Awards and Certifications

award

Business Social Compliance Initiative (BSCI)

award

ISO 9001: Quality Management Systems (QMS)

award

iF International Design Award

award

Kind + Jugend Innovation Awards

award

ATEX, IECEx Explosive Products Certification

award

EU CE Declaration of Conformity

award

Federal Communications Commission FCC Certification

award

Bluetooth Low Energy

Frequently Asked Questions

Do you build the agent or only design it?

Both. Design can be a standalone engagement; we often continue into build, harness design, and deployment.

Which models and frameworks do you support?

We are model-agnostic: OpenAI, Anthropic, open-weight models, and edge deployments. Framework choices depend on your stack; we document trade-offs in the architecture phase.

Can you design agents for regulated industries?

Yes. We incorporate audit logging, data residency, and human approval steps into the design from day one.

How long does agent design take?

Typical discovery + architecture: 2 to 4 weeks for a focused use case; larger multi-agent programs are phased.

We already have an internal team: can you augment them?

Yes. We deliver architecture packages your team can implement, or pair via forward deployed engineering.

Manufacturing and AI engineering

Get in touch

Discuss your manufacturing or AI engineering requirements with our Hong Kong team.

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Typical reply within one business day.