aideploy quote --currency=MYR
What a production agent actually costs
No published rate card and no day-rate meter. We scope your workflow, quote a fixed price in RM, and show you the running costs before you sign anything.
Fixed quote, itemised
One number covering build, evaluation and infrastructure, agreed before work starts. Scope changes are re-quoted in writing — the meter never just runs.
Agent GPA evaluation
Every phase ends with a measured scorecard: accuracy, failure modes, go/no-go. You make the production decision on evidence, not a demo.
Running costs in RM
Estimated monthly model and infrastructure costs appear on the quote itself, so finance signs off on the whole picture, not just the build.
Handover by default
Runbooks, monitoring dashboards and documentation are deliverables, not extras. The AgentOps retainer is a choice, never a hostage situation.
quote: fixed
Why there is no price table on this page
Two agents that look identical on a slide can differ by 5x in build cost. The difference is never the AI — it is your integrations, your data quality, your compliance envelope and the reliability target you need. A published price grid would either overcharge you for simple work or hide the real cost of complex work. So we do it the honest way: a short discovery, then a fixed, itemised quote in RM. The price you sign is the price you pay.
- ✓Discovery maps the workflow, systems, data and failure modes before we commit a number
- ✓Quotes are fixed-scope, not time-and-materials — overruns are our problem, not yours
- ✓Every quote itemises build, evaluation, infrastructure and estimated monthly running costs
- ✓If an agent is the wrong fix, we say so at discovery and you walk away having spent nothing
phase: pilot
Pilot: prove it on your data in weeks
Every engagement starts with a fixed-scope pilot — one workflow, your real documents and systems, typically 3 to 6 weeks. The pilot ends with a working agent and an Agent GPA evaluation scorecard: measured accuracy, failure modes and a clear go/no-go for production. Indicatively, pilots for Malaysian mid-size and large enterprises land between RM 30,000 and RM 80,000 depending on integrations and data condition. If the numbers do not clear the bar, you find out in weeks, not quarters.
- ✓One workflow, real data, measurable pass/fail criteria agreed up front
- ✓Agent GPA evaluation scorecard included — not a demo, an audit
- ✓Fixed quote after discovery; indicative range RM 30,000–80,000
phase: production
Production: hardened, not just working
A pilot that works is not a system you can rely on. Production deployment adds what the demo never shows: SLOs, load testing against your real volumes, resilience patterns for when upstream systems fail, PDPA-compliant data handling, and BNM RMiT-aligned controls where the buyer is a financial institution. Our lead engineer has handled 300+ production incidents and run 50+ load-test audits — that experience is priced into the build so it never becomes your outage. Indicative range: RM 80,000 to RM 250,000+ depending on integration count, throughput and compliance scope.
- ✓SLOs defined and load-tested before go-live, not discovered after
- ✓PDPA data handling by default; BNM RMiT alignment scoped in for FIs
- ✓Runbooks, monitoring and handover documentation included in the fixed quote
phase: agentops
AgentOps: keep it reliable month over month
Models get updated, upstream APIs change, and edge cases arrive that no pilot saw. The monthly AgentOps retainer covers monitoring, evaluation regression runs, incident response and controlled model upgrades — the operational work that separates agents that quietly degrade from agents that keep clearing their SLOs. Retainers typically run RM 6,000 to RM 20,000 per month depending on agent count and response-time commitments. It is optional: everything we build is documented and handed over, so your team can run it instead.
- ✓Monitoring, eval regressions and incident response under a defined SLA
- ✓Model upgrades tested against your evaluation set before they touch production
- ✓No lock-in — full handover means you can take operations in-house at any time
costs: modelled
The AI running cost is the small line item
The question every CFO asks first — "what will the tokens cost us?" — usually has the most reassuring answer on the quote. For most back-office agents, monthly model usage is a small fraction of the labour cost the agent absorbs, and it scales with volume you can forecast. We model it in RM before you sign, using the same calculator we publish openly on our engineering hub. We deploy Claude first but stay model-agnostic: if a cheaper model clears your evaluation bar, we quote the cheaper model.
Frequently asked questions
Why don't you publish exact prices?
Because a fixed price we could publish for every workflow would be dishonest for most of them. Build cost is driven by your integrations, data quality and compliance requirements, not by the AI. The ranges on this page are indicative — pilots RM 30,000–80,000, production RM 80,000–250,000+, AgentOps RM 6,000–20,000 per month — and every actual quote is fixed after a short discovery, so you carry no overrun risk.
How much does an AI agent pilot cost in Malaysia?
For mid-size and large Malaysian enterprises, a fixed-scope pilot typically costs RM 30,000 to RM 80,000 and runs 3 to 6 weeks. That buys a working agent on one real workflow, using your data and systems, plus an Agent GPA evaluation scorecard with measured accuracy and a clear go/no-go recommendation for production.
What are the ongoing costs after deployment?
Two lines. Model and infrastructure usage, which for most back-office agents is a small, forecastable fraction of the labour cost the agent absorbs — we estimate it in RM on the quote, using the cost calculator published on our engineering hub. And an optional AgentOps retainer of RM 6,000 to RM 20,000 per month for monitoring, evaluation regressions, incident response and model upgrades.
Is the discovery phase paid?
The initial scoping conversation is free, and it ends with either a fixed quote or a straight answer that an agent is not the right fix. For larger estates with many systems, we may propose a short paid discovery — quoted up front as its own fixed price and credited against the build if you proceed.
Are there grants that can offset the cost?
Sometimes. MDEC and related programmes periodically fund digitalisation and AI adoption for Malaysian companies, and eligibility depends on your sector, size and the programme's current window. We flag anything you may qualify for during discovery, but we quote the project to stand on its own ROI — a grant should be a bonus, not the business case.
Who is behind AI Deploy?
AI Deploy is a brand of Anchor Sprint Sdn Bhd (1535934-D), based in Shah Alam, Selangor. We are a member of the Anthropic Claude Partner Network with Claude Certified Architects on the team, and we deploy Claude-first but model-agnostic — the model that clears your evaluation bar at the best cost is the one we quote. Claude and Anthropic are trademarks of Anthropic, PBC.
Get a fixed quote in RM
Tell us the workflow you want off a human's desk. We'll scope it, model the running costs, and return a fixed quote — or tell you plainly that an agent isn't the right fix. WhatsApp +6011 5924 6128 or book a scoping call.