AI agents and automation, Singapore
We design and build agents and workflow automation for Singapore teams. Wired into your CRM, helpdesk, email and internal APIs. Logged, guarded, and with humans still in charge of the decisions that matter.
8+ years building products100+ projects deliveredLive agentic products in productionYou own the IP
The short answer
AI agents are software systems that take multi step actions toward a goal. Reading documents, calling tools and APIs, updating records, drafting responses, routing work. All inside rules you define.
That is different from a clever prompt. A commercial agent is wired into your stack, logged so you can review what it did, and designed so a human stays in control of anything sensitive or irreversible.
Zimozi builds practical agents and workflow automation for Singapore teams that want fewer manual hand offs and clearer throughput. We are not going to pretend a prompt is a product.
Pick your starting point
We keep these separate on purpose, so you land on the one that matches where you are today.
Machine learning, generative AI and wider intelligent systems positioning.
A structured pass over where automation actually pays off, before you commit to a build.
Agents and workflow automation. Design, integrate, ship and iterate on a real process.
Fit assessment
Agents fit work that is repetitive, rules heavy and spread across tools. They struggle when policies are undefined, data is unreachable, or every case is genuinely novel. Those need process design first, not a bigger model.
Classify requests, open tickets, fill fields from attachments, route to the right owner.
Extract structured data from PDFs and forms into your database of record.
Drafts replies from your policy documents. A human reviews and sends.
Sequences non sensitive follow ups and escalates anything about pricing or commitments.
Answers staff questions with citations back to your internal procedures.
Multi step processes that currently live in spreadsheets and group chats.
Zimozi is Singapore based, with 8+ years and 100+ projects across product engineering. We welcome real automation scopes, from a single high value workflow to a broader agent platform. Any budget: we will suggest a practical starting point. Dedicated engineering from around USD 30 per hour may apply where retained delivery fits. That is accessible specialist capacity, not bargain outsourcing.
Honest proof
Not blog posts about prompting. Commercial products with tool use, memory and orchestration, running for real users.
Grounded in Fabrice Grinda's writing, with retrieval augmented answers, document intelligence across PDFs and decks, session memory, and low latency voice built on modern realtime capabilities.
This is our clearest public example of agentic, conversational product engineering.
A supervisor routes founders to stage specific interview agents, analyses pitch decks, and generates structured debriefs the investment team can act on.
Same delivery muscle, applied to a genuinely multi agent problem rather than a buzzword overlay on one prompt.
When we scope your automation we apply the same discipline: ground answers in approved sources, log actions, and keep humans accountable for irreversible steps.
Non negotiables
If a vendor cannot answer these six questions, the pilot will not survive contact with your compliance team.
Retrieval from your approved corpus, rather than free form invention.
Least privilege tool access. No silent writes to production without a policy behind them.
Minimise personal data in prompts and logs, aligned with your own legal advice.
Approvals for refunds, legal commitments and customer facing messages.
Budgets per workflow, with caching and model routing where it makes sense.
Traces you can actually review when something looks wrong.
Many SMEs look at EDG or PSG style co funding when adopting digital tools. We can scope a practical build either way. We do not claim Zimozi is an approved grant vendor unless that is separately verified for a specific package. Treat Enterprise Singapore guidance as the source of truth on eligibility.
How it runs
Which steps burn time, which systems hold the truth, and where a human must approve.
Goals, tools, guardrails, fallback paths and how we will judge whether it works.
Secure connections into the apps your team already uses every day.
Working increments your stakeholders can criticise early, while changes are cheap.
Sample traces, failure modes, cost per run and clear escalation rules.
Documentation, IP ownership under agreement, and optional retained iteration.
We are NDA friendly, you own the IP on the work product we create for you, and we are happy to take over fragile prototypes that never made it out of a sandbox.
Straight talk
Search results are full of generic prompting guides. This page is a service offer: discovery, integration engineering, evaluation and production hardening, done by a Singapore technology company.
If you want inspiration, read widely. If you need something that runs on Monday morning against your CRM, talk to us. If the opportunity list is still fuzzy, start with the AI Automation Audit and come back once you know which workflow to attack.
We size the first agent to one painful workflow, so you see real signal before funding a platform.
Related services
FAQ
AI agents are goal directed systems that use tools and data to complete multi step work: triage, drafting, extraction, routing, inside your existing processes. The value shows up as shorter cycle times and fewer manual copy and paste steps, provided guardrails, PDPA aware design and human approvals are in place for sensitive actions.
Chat is a flexible interface. Commercial agents add permissions, integrations, logging, evaluations and workflow ownership so outputs land in the right system rather than only in a browser tab. We build that production layer.
If you are unsure which process to automate first, take the AI Automation Audit, a fixed scope diagnostic. If you already know the workflow and the systems involved, go straight to a build conversation. Both paths lead to the same engineering team.
Yes. Pitch Fabrice is a public example of supervisor and specialist agent orchestration for structured interviews and debriefs. We use those patterns when the process genuinely needs specialised roles, not as a label on a single prompt.
Yes. Under agreement you own the IP for the work product we create for you. We document tools, policies and deployment so you are not trapped in a demo nobody can maintain.
We scope to workflow complexity, integrations and evaluation needs, then propose a practical starting point for any genuine budget. Usually that means one production workflow before a wider agent platform. Accessible dedicated engineering rates from around USD 30 per hour may apply for retained delivery.
Yes. Agents are only useful when they reach the systems that hold your data: CRM, helpdesk, email, storage, internal APIs. Integration engineering is a core part of every engagement rather than an add on.
Bring the process map and the systems of record. You will get a sober design, an integration plan and a weekly demo rhythm. No need to force a large budget to start the conversation.
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