aideploy --market=SG · status: operational
AI agents built for production, not demos.
AI Deploy designs, evaluates and runs AI agents for Singapore's banks, insurers, logistics hubs and retail groups. Claude-first, model-agnostic, and engineered with the discipline of 300+ production incidents.
agent: order-intake · live
An order-processing agent reads purchase orders arriving by email and WhatsApp, validates them against your price list and credit terms, and drafts clean sales orders in the ERP. Your sales team stops retyping and starts selling.
Deploy
We scope one workflow, pick the right model for it — Claude first, any model where it fits better — and ship an agent wired into your ERP, CRM or core systems. You get a working agent in production, not a proof of concept in a slide deck.
Evaluate
Before an agent touches a customer or a ledger, it earns an Agent GPA: a graded evaluation across accuracy, safety, latency and cost. We have run 50+ load-test audits and 30+ resilience assessments, and we apply the same rigour to agents other vendors built.
Run
Agents degrade quietly — models drift, APIs change, volumes spike. Our AgentOps practice sets SLOs per agent, monitors traces and evals in production, and puts engineers on call. When something breaks at 2am, someone who has fixed it before picks up.
deploy · claude-first
Claude-first, model-agnostic by design
We are a member of the Anthropic Claude Partner Network with Claude Certified Architects on the team, and Claude is our default for enterprise agent work. But the model is a component, not a religion. When another model fits a workload better — on cost, latency, language coverage or deployment constraints — we deploy that instead. You get an engineering recommendation, not a reseller's.
- ✓Member of the Anthropic Claude Partner Network
- ✓Claude Certified Architects on staff
- ✓Any model deployed where it fits the workload
- ✓Run-cost modelled in SGD before you commit
evaluate · agent-gpa
Evaluated before it touches your business
Most agent projects fail quietly: they demo well and collapse under real volume, real documents and real users. We grade every agent with an Agent GPA — a scored evaluation across accuracy, safety, latency and cost — and load test it against your peak, not your average. If you already have an agent that underperforms, we assess and rescue it under the same framework.
- ✓Agent GPA scorecard before every go-live
- ✓50+ load-test audits and 30+ resilience assessments delivered
- ✓Agent rescue for builds that never made it to production
run · agentops
Run like infrastructure, not a pilot
An agent in production is a system, and systems need operations. We define SLOs per agent, instrument every step with tracing and continuous evaluation, and keep engineers on call for incident response. Our lead engineer has handled 300+ production incidents — the difference between a vendor and an operator is what happens after go-live.
- ✓SLOs and error budgets per agent
- ✓Continuous evaluation and drift detection in production
- ✓Incident response with named engineers, not a ticket queue
governance · sg
Built for Singapore's regulatory reality
We deploy with PDPC obligations designed in from scoping: data minimisation, consent handling and cross-border transfer controls are architecture decisions, not afterthoughts. For financial institutions, we structure deployments to support your MAS TRM obligations — vendor assessment artefacts, resilience evidence and audit trails included. We align our practices with IMDA's model AI governance guidance.
- ✓PDPC-aware data handling and residency options
- ✓MAS TRM support artefacts for banks and insurers
- ✓Full audit trail on every agent decision
Frequently asked questions
What does it cost to deploy an AI agent in Singapore?
A scoped single-workflow deployment typically starts in the low five figures in SGD, with monthly run costs depending on volume and model choice. We model the full run cost — model usage, infrastructure and operations — in SGD before you commit, and our public Claude cost calculator gives you a first estimate in minutes.
What is your relationship with Anthropic?
We are a member of the Anthropic Claude Partner Network, with Claude Certified Architects on the team. We are not Anthropic, and no partner is exclusive. In practice this means direct access to partner resources and certified expertise on Claude — while remaining model-agnostic where another model fits your workload better.
How do you handle PDPA compliance and data residency in Singapore?
We design deployments to comply with Singapore's PDPA (administered by the PDPC). Data handling is designed at scoping, not patched at audit. We map what personal data the agent touches, apply minimisation and masking before anything reaches a model, configure region-appropriate endpoints where residency matters, and document the flow so your DPO can answer PDPC questions with evidence.
We are a bank. Can you work within MAS TRM requirements?
Yes. We have run 30+ resilience assessments and structure FI deployments to support your MAS TRM obligations: vendor due-diligence documentation, load and failure testing evidence, incident response procedures and audit trails on agent decisions. Your technology risk team gets artefacts, not assurances.
We already built an agent and it is not working. Can you fix it?
That is common — most agents that fail were never evaluated or load tested. Our agent rescue service starts with an Agent GPA assessment of the existing build, identifies whether the failure is in the prompt, the architecture, the data or the operations, and either repairs it or gives you an honest recommendation to rebuild.
How long does a deployment take?
A first agent on a well-scoped workflow typically reaches evaluated production in six to ten weeks: two weeks of scoping and data access, three to five weeks of build and integration, then evaluation, load testing and a supervised go-live. Subsequent agents are faster because the operations layer is already in place.
Talk to an engineer, not a sales deck
Book a 45-minute scoping call and leave with a candidate workflow, a run-cost estimate in SGD and an honest read on whether an agent is the right fix. Or message us on WhatsApp at +65 8749 0243. AI Deploy is a brand of Anchor Sprint Pte. Ltd. (UEN 202632732Z), Suntec Tower One, Singapore.