aideploy --market=MY
We deploy AI agents that survive production.
AI Deploy designs, evaluates and runs production AI agents for Malaysian enterprises — banks, GLCs, retailers, logistics groups and manufacturers. Claude-first, model-agnostic, and engineered like infrastructure, not demos.
agent: order-intake · live
Purchase orders arrive by email, WhatsApp and portal in every format your customers feel like using. The order agent reads them, validates lines against price lists and stock, and posts clean sales orders to your ERP.
Deploy
We take one workflow that matters — cash application, order intake, support triage — and ship an agent that runs it in production. Scoping, model selection, ERP and core-system integration, PDPA-aware data handling, and a fixed RM quote before we start.
Evaluate
Before an agent touches your operations, it gets a grade. Agent GPA evaluation, load testing and resilience assessment — on agents we build, and on agents other vendors built that aren't holding up. 30+ resilience assessments and 50+ load-test audits behind the method.
Run
AgentOps as a service: SLOs, tracing, continuous evaluation, model-spend control and incident response for your agent fleet. Run by engineers who have handled 300+ production incidents — so your team doesn't learn on-call the hard way.
status: scoping
Start with one workflow that matters
We don't sell a platform. We pick one workflow with a measurable cost — unmatched payments, manual order entry, a support queue — and scope it against your real volumes. You get a fixed RM quote, a delivery plan measured in weeks, and a clear line for what the agent does and what stays with your team.
- ✓Discovery against your actual documents and systems
- ✓Claude-first model selection — any model where it fits better
- ✓Integration with your ERP, CRM or core systems
- ✓Fixed-price build, agreed before work starts
status: evaluated
Every agent gets a grade before go-live
An agent that works in a demo and an agent that works at month-end close are different machines. We evaluate every build with Agent GPA — accuracy, groundedness, safety and cost against a scored test set — then load-test it at your peak volumes and probe how it fails. Our lead engineer has run 30+ resilience assessments and 50+ load-test audits; agents get the same treatment as any other production system.
- ✓Agent GPA scorecard shared with your team
- ✓Load tested at peak, not average, volumes
- ✓Failure modes documented with fallback behaviour
- ✓Re-evaluated after every model or prompt change
status: monitoring
Run by engineers who carry the pager
Deployment is the start, not the finish. Under AgentOps, every agent runs against SLOs with tracing, spend monitoring and continuous evaluation — and when something breaks at 2am, it pages us. The team behind AI Deploy has handled 300+ production incidents; that experience is built into how every agent is instrumented from day one.
status: compliant
Deployed inside Malaysian guardrails
Enterprise agents touch customer data, payment records and regulated processes. We design deployments around PDPA obligations, align architectures with BNM RMiT expectations for financial institutions, and work within Malaysia's MDEC-anchored digital ecosystem. AI Deploy is a brand of Anchor Sprint Sdn Bhd (1535934-D), Shah Alam, Selangor — a member of the Anthropic Claude Partner Network with Claude Certified Architects on the team.
- ✓PDPA-aware data flows, retention and access control
- ✓BNM RMiT-aligned architecture for banks and insurers
- ✓Data residency options for regulated workloads
- ✓Human-in-the-loop controls where regulation expects them
status: documented
14 builds, written up in the open
Most agencies show logos. We show working. Our engineering hub documents 14 agent builds end to end — workflow diagrams, model choices, RM cost estimates, evaluation scores and where each build struggled. Read the one closest to your problem before you ever talk to us.
Frequently asked questions
What does it cost to deploy an AI agent in Malaysia?
It depends on workflow complexity and volume, so we scope first and quote a fixed price in RM before any build starts. Most deployments are a one-time build fee plus a monthly run fee covering AgentOps and model usage; at mid-size volumes, model spend itself often runs from a few hundred to a few thousand ringgit a month. You can estimate the model portion yourself with our Claude cost calculator.
Are you an Anthropic partner?
Anchor Sprint, the company behind AI Deploy, is a member of the Anthropic Claude Partner Network, with Claude Certified Architects on the team. We don't claim exclusive or sole-official status — no partner in Malaysia can. Claude and Anthropic are trademarks of Anthropic, PBC.
Do you only deploy Claude?
No. We're Claude-first because it's where our certifications and deepest experience sit, but we're model-agnostic in practice: we select and deploy whichever model fits the workload on accuracy, cost, latency and data-handling requirements — and we re-evaluate that choice as models change.
Can you fix an agent another vendor built?
Yes — this is common. Our agent rescue service starts with an Agent GPA evaluation and load test of the existing build, so you get an evidence-based verdict on whether to repair, rebuild or retire it, before you spend more money on it.
How do you handle PDPA and BNM RMiT?
Compliance is designed in, not audited in later. We map every data flow the agent touches for PDPA — collection, purpose, retention, access — and for financial institutions we align the deployment architecture with BNM RMiT expectations, including resilience testing, audit trails and human oversight on regulated decisions. Your compliance team reviews the design before go-live.
Put an agent on your floor plan
Tell us which department is drowning in manual work. We'll scope one workflow, give you a fixed RM quote and show you the evaluation plan before you commit to anything. WhatsApp +6011 5924 6128 or book a call.