Agent Engineering
Claude Agent SDK, MCP servers, tool and interface design. The systems themselves — architected around their failure modes, not just their happy path.

AI Integration & Implementation · Singapore
We design, build and deploy agentic systems on Claude and AWS for enterprises across Southeast Asia — then hand them over, documented, to the teams who run them.
Who we are
Claude Global is an enterprise AI implementation practice in Singapore. We design, build and deploy agentic systems on Claude and AWS, and we stay named to the work — through build and into maintenance.
Claude Agent SDK, MCP servers, tool and interface design. The systems themselves — architected around their failure modes, not just their happy path.
Backend, data pipelines, AWS and access control. Everything the agents stand on, inside the boundary your security team already trusts.
Programme management, evaluation, QA and sign-off. The discipline that decides whether what we built actually ships.
What we do
From first opportunity assessment through to the certification of the people who will own the system after us. Engagements run from a single day to six months.
Discovery, opportunity assessment, roadmap and business case.
Production agentic systems on Claude Agent SDK — architecture, build, evaluation and deployment.
Connecting Claude to your existing stack: tool and resource interfaces, authentication, data flow.
Data governance, residency and access control. PDPA alignment, audit trails and security review.
Role-specific programmes, internal champion networks and governance frameworks.
Certification pathways and an internationally benchmarked AI curriculum, for every level.
Governance
A programmatic gate can. So we put the controls in the runtime.
Track record
Figures below are from delivered engagements. Client names are under NDA; sector, approach and technical stack are disclosed in full on the work page.
How we deliver
Independent code review by an engineer outside the build team. Automated evaluation of agent behaviour, not just unit tests. Client-run UAT against the criteria agreed at design.
Scope, stakeholders and success criteria agreed.
Architecture, interfaces and written acceptance criteria.
Two-week increments, demonstrated each cycle.
Independent review, automated evaluation, client UAT.
Documentation, training and repository access.
Your data stays where you put it. Singapore by default, AWS ap-southeast-1 — or any region you require. Data never leaves the region you choose, and is never used to train any model.
The code is yours from day one. All work product assigns to you on final payment. Repositories are client-accessible from the first commit, so on exit there is nothing to hand back.
Next steps
A discovery call, up to an hour, at no charge. If there is something to build, you get a scoped proposal within five working days.