Every answer cited, every query governed, nothing touching the systems that run your business. Deployed in your AWS account, on open formats — live in weeks.
Agents are arriving. The data underneath isn't ready. We build a separate data plane, built only for agents — apart from the systems that run your business.
Agents work on an isolated, one-way copy of your data. Operational systems are never touched — separate AWS account and VPC, no write path back.
Quality agents continuously clean, dedupe and resolve entities. Material changes need human approval, and every change keeps its lineage.
Only allowlisted feeds come in. Data leaves only through governed tools — no bulk export, PII masked, every query audited.
Built for many small, fast, repeated queries — cached context, pre-aggregated tables and memory. Iterations in seconds, not dashboards.
Both platforms share the entity graph, the governance layer and the router — so adding the second needs no rework.
Policies, contracts, email and calls — agents search, relate and reason over them through governed graph-RAG.
Core systems, transactions and master data become governed tables, an entity graph and certified metrics behind one endpoint.
"Which related parties are over exposure limits — and what does our policy say we must do?"
One question, three engines: the graph maps the relationships, the data platform calculates exposure, the knowledge platform finds the policy clauses. One cited, audited answer — in seconds.
A global property technology platform built agentically using cutting-edge AI had a big number to protect: over ₱500M in property transactions and 60,000 active listings running through its systems.
Behind the scenes are 24 separate pieces of software handling payments, lending, and enterprise operations, any one of which could introduce a costly bug, compliance gap, or security hole if a change went out unchecked. With a lean team, manually reviewing every code change for risk across all 24 systems wasn't realistic.
Instead of using AI as a one-time reviewer that checks code when asked, Amihan set up Claude as an always-on team of specialists—one focused on payments, one on lending, one on enterprise systems—all working together under a coordinator that understands how the different parts of the platform connect.
Think of it like having a group of senior engineers who never sleep, never get tired, and remember every mistake the team makes so they don't repeat it.
The lesson for other enterprises isn't "hire an AI code reviewer." It's that AI can take on standing operational responsibility—actively watching for risk, making low-stakes decisions on its own, and bringing humans in only where human judgment is genuinely required. That's the difference between AI as a tool your team uses, and AI as a capability your organization can rely on.
The largest agentic diaspora marketplace app connecting global Filipinos to home, powering commerce, community, and connection across continents with AI-driven personalisation and discovery.
Rather than a one-time implementation, Amihan built AI teammates that understand the diaspora customer, learn from browsing and purchase behaviour, and surface the right property or product at the right moment automatically, continuously, and at scale.
Connecting 10 million Filipinos abroad to home requires more than a listings page. It calls for a platform that understands context, culture, and intent and acts on all three in real time—which is exactly what agentic AI makes possible.
When you open an account, take out a loan, or do business with your bank, you're trusting that the institution treats everyone fairly. No one gets special treatment because of who they know. The money you deposit isn't quietly exposed to hidden conflicts of interest.
Regulators call this related party risk. The goal is to make sure a bank's own directors, executives, and their families and business connections don't get preferential loans, hidden influence, or special deals at the expense of everyday customers and depositors.
Most banks check for this the old-fashioned way: manually, occasionally, and often only when required. That leaves gaps. And gaps are where problems hide.
Instead of a single tool that waits for instructions, we've built a system of specialist AI agents that actively investigate, reason, and act on their own initiative the way skilled analysts would—except they never sleep, never miss a detail, and never let a conflict of interest slip through unnoticed.
Each agent has a job: one traces ownership through layers of companies, one notices family and business connections that were never formally reported, one catches subtle forms of influence—not just who owns what, but who's really calling the shots.
When something looks unusual, an investigating agent digs deeper on its own, pulling in records, cross-checking sources, testing explanations before anything is flagged or escalated.
You shouldn't have to wonder whether the person approving your loan or the bank behind your savings has hidden conflicts of interest working against you—which is exactly the problem our always-on agentic system solves.
Our team of AI agents does the checking automatically, thoroughly, and honestly in the background every single day.
This is the standard we hold ourselves to. Not because a regulator requires it but because it's what keeping your trust requires.
Finding the right person for a role—or the right role for a person—has always depended on who you know, what you can describe, and whether the right two people happen to be looking at the same time. Traditional job platforms match keywords. They don't understand context, capability, or potential.
Our agentic system lets users build a complete profile or upload a CV. Smart search powered by AI and relationship mapping lets anyone describe the expertise they need to instantly get matched with the most relevant talent based on skills, experience, and network proximity.
The system doesn't wait to be asked. It proactively surfaces candidates to opportunities and opportunities to candidates, continuously refining its understanding of what a good match actually looks like.
The best person for a role is rarely the one who applied. They're often the one who didn't know they were looking, or the one an employer's network hasn't tapped yet. Our AI agent finds those people and makes the introduction.
Meet the enterprise brands building their agentic future with Amihan


























Discover what our agentic success stories are built on
Cloud engineering practice for deploying high-performance apps that are secure by design, resilient by default, ready for enterprise scale.
For building intelligent systems that improve business outcomes and everyday human experiences.
For enabling accurate, contextual, explainable business intelligence that powers connected enterprise knowledge.
Delivered by Amihan forward-deployed engineers. Frontier AI on one side, your enterprise on the other.
AI agents surface insights in real-time so your teams act faster than the competition.
Intelligent systems handle the repetitive so your people handle the meaningful.
Systems learn from your business and evolve as your needs change.