aideploy --market=MY --list services
We design, evaluate and run production agents.
Three service lines cover the full life of an enterprise AI agent — from first process map to 3 a.m. incident response. Claude-first, model-agnostic, and engineered to the same reliability standard we hold for core banking and ERP workloads.
Agent design and deployment
One process, one working agent. Scoping, model selection, integration and rollout — Claude-first, model-agnostic, with 14 documented builds behind the method.
Evaluation and assurance
Agent GPA scoring, golden sets from your real cases, load and chaos testing. Proof an agent is ready for production — yours or another vendor's.
AgentOps and managed running
SLOs, 24/7 monitoring and incident response from a team that has handled 300+ production incidents. Monthly reliability and cost reporting in RM.
service 01 · deploy
Agent design and deployment
We take one business process — cash application, order processing, support triage — and turn it into a working agent with clear boundaries, human checkpoints and audit trails. Claude-first because it is what we know deepest (our team includes Claude Certified Architects), but model-agnostic in practice: we deploy whichever model fits your data-residency, cost and capability requirements. Fourteen documented agent builds in our engineering hub show exactly how we work, including architecture, model selection and cost per transaction in RM.
- ✓Process mapping and agent scoping with your operations team, not around them
- ✓Model selection and benchmarking across Claude and alternatives — evidence, not preference
- ✓Integration with the systems Malaysian enterprises actually run: SAP, Oracle, core banking, e-invoicing
- ✓Pilot to production with defined exit criteria, not an open-ended proof of concept
service 02 · evaluate
Evaluation and assurance
An agent that has not been measured is a liability, not an asset. We build golden datasets from your real cases, score agents with our Agent GPA framework, and stress the system the way production will: load tests, failure injection, degraded-dependency drills. Our lead engineer has run 30+ resilience assessments and 50+ load-test audits on enterprise systems — the same discipline now applied to agentic workloads. For regulated FIs, evaluation evidence is packaged to support BNM RMiT technology-risk documentation.
- ✓Agent GPA scorecards: task accuracy, grounding, policy adherence, escalation behaviour
- ✓Golden sets built from your historical transactions and edge cases
- ✓Load and chaos testing before go-live, and re-testing after every model change
- ✓Independent assurance for agents built by other vendors — before you renew the contract
service 03 · operate
AgentOps and managed running
Agents drift. Models get deprecated. Upstream APIs change on a Tuesday. Our managed running service keeps agents inside agreed SLOs with monitoring, alerting and an incident process built by an engineer who has handled 300+ production incidents. You get a monthly reliability report your CIO can put in front of the board: uptime, accuracy trend, cost per transaction, incidents and MTTR.
- ✓SLOs agreed in business terms — invoices matched per hour, not just uptime
- ✓24/7 monitoring with defined escalation paths and MTTR targets
- ✓Model version management: regression-test, then upgrade, never silently
- ✓Monthly cost and accuracy reporting in RM, per agent, per process
governance
Built for Malaysian compliance from day one
Every engagement starts with a data map: what the agent can read, what it can write, where inference happens, and what leaves Malaysia. We design to PDPA requirements as standard, align with BNM RMiT expectations for financial institutions, and support MDEC-related documentation where grants or MSC status are in play. Human accountability is designed in — an agent acts, but a named owner in your organisation approves.
Frequently asked questions
Do you only deploy Claude?
No. We are Claude-first — our team includes Claude Certified Architects and we are a member of the Anthropic Claude Partner Network — but model-agnostic in delivery. We benchmark candidate models against your golden set and deploy the one that meets your accuracy, cost and data-residency requirements. Claude and Anthropic are trademarks of Anthropic, PBC.
Can you take over an agent another vendor built?
Yes. Agent rescue is a standing engagement: we run an Agent GPA evaluation on the existing system, identify why it fails in production, then either stabilise it under our AgentOps service or rebuild the weak components. You get the assessment report before deciding anything.
How do you prove an agent is accurate enough for production?
With evidence, not demos. We build a golden dataset from your historical cases, score the agent against it using our Agent GPA framework, and set a documented go-live threshold with your process owner. The same tests re-run after every model or prompt change, so accuracy is tracked over time — not asserted once.
How do your services fit PDPA and BNM RMiT requirements?
PDPA data mapping is part of every design phase: we document what personal data the agent touches, where inference runs, and retention rules. For financial institutions, we align architecture and evaluation evidence with BNM RMiT technology-risk expectations, so your risk and compliance teams have artefacts to review, not promises.
What does an engagement cost in Malaysia?
Design and deployment is quoted as a fixed-scope engagement in RM after a scoping call, sized by process complexity and integrations. AgentOps runs as a monthly retainer tied to agreed SLOs. For ongoing model inference costs, our Claude cost calculator gives a working estimate before you commit to anything.
How long from scoping call to a live agent?
For a well-bounded process, typical timelines run 8 to 12 weeks: two to three weeks of process mapping and design, four to six weeks of build and evaluation, then a controlled rollout with human review before full automation. Complex integrations — core banking, multi-entity ERP — extend that, and we say so upfront.
Start with a scoping call
Bring one process that eats your team's hours. We will tell you whether an agent fits, what it would cost in RM, and how we would prove it works — before you commit to anything. WhatsApp +6011 5924 6128 or book a call. AI Deploy is a brand of Anchor Sprint Sdn Bhd (1535934-D), Shah Alam, Selangor.