AI Spend Governance 路 Asia-Pacific 路 Coming Soon
AI bills are the fastest-growing unbudgeted line item in enterprise tech. A single misconfigured default or a runaway agent can generate thousands of dollars in API costs overnight - invisibly, while you sleep. Steward is the control layer that stops that from happening.
Join the waitlistSteward 路 AI Operations Suite 路 By Dendrons 路 Supported by Google Cloud for Startups 路 Anthropic Claude Partner
Enterprise AI budgets grew 483% as prices fell 80%. Bills are not falling - agentic workloads consume 10-20x more tokens per task.
Cost reduction available on deferrable workloads via batch APIs - missed by most enterprises because no system detects and routes them.
Hard spend controls in place at most organisations deploying AI today. The first surprise bill is when governance gets put on the agenda.
Two products. One suite.
Steward has two products that work at different layers - Rein at the infrastructure layer for the CTO and CFO, Pare at the browser layer for the individual developer. Together they give complete visibility: every API call and every prompt, attributed and accounted for.
How Rein works
Rein sits as a proxy between your applications and your LLM providers. Your code does not change. Your agents do not change. The control layer is invisible until it needs to act.
Every API call is logged with model, tokens in and out, cost in local currency, and the agent, user, or workflow that triggered it. Real-time, not end-of-month.
Budget caps, model restrictions, per-agent limits. When a threshold is hit, Rein downgrades the model automatically or stops the call entirely - before the damage is done.
Deferrable workloads - document analysis, export processing, nightly enrichment - are detected and routed to batch APIs at half the price. Automatically, no code changes.
Dashboard shows spend by agent, user, workflow, and business outcome in SGD, AUD, KRW, or INR. Batch savings unlocked vs missed. Pricing changes across all providers.
Primary markets
Every market Steward targets has a governance trigger - a regulation, a framework, or a published guidance that makes AI spend accountability a compliance requirement, not just a cost question.
60.9% population AI usage - highest globally. MAS AI Risk Guidelines and the world's first Agentic AI Governance Framework (January 2026).
Anchor marketTop 5 in Anthropic's AI Usage Index. NAIC Guidance for AI Adoption (AI6, October 2025) creates accountability requirements for AI deployment.
English market 路 No local competitorsFastest-growing AI adoption globally (+43.2%). AI Basic Act - the world's second comprehensive AI law (January 2026). SGD 735B sovereign AI initiative.
Via local partner#2 globally for Claude usage. 57% enterprise AI deployment rate. DPDP Act notified November 2025. Existing Dendrons enterprise relationships.
Lowest CAC 路 Founder networkSteward is in active development. Join the waitlist to be first in line for early access - and to share what your AI spend looks like today.
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