Xpress AI · Aokumo
In production
Open to read the case study
Xpress AI
By Xpress AIXpress AI is a platform that lets enterprises implement a collaborative digital workforce by deploying fleets of autonomous AI agents that work with each other and with employees. Our platform runs on-prem or in the cloud, automating long-running, document-heavy tasks like invoice handling, compliance checks, and back-office operations. It integrates with desktops, legacy systems, and SaaS tools via a visual workflow builder, with governance, security, and monitoring built in. Our orchestration layer drives consistency, handles exceptions, and helps agents learn from failures—delivering faster operations and lower costs with full data control—and we’re open to strategic partnerships and investment to co-pilot deployments with enterprise teams.
- Stage
- In pilot
- Industries
- Technology
- Banking and finance
- Legal
- Deployment
- Hybrid
Why it is worth it
We run securely on-prem or hybrid with full data control. Our autonomous agents collaborate with each other and with your team, automate desktop and legacy systems (not just APIs), and handle long‑running, document‑heavy workflows. We include production‑grade orchestration (retries/exception handling), shared memory, and a unified agent–human tasking console with monitoring, audit trails, and budget controls—delivering consistent, auditable outcomes.
Companies hit walls with AI that lives in one-off chats: knowledge gets trapped, work isn’t shared, and there’s no durable context across teams. Cloud-only copilots also miss enterprise needs: they can’t run on‑prem for security/data residency and struggle with long‑running, document‑heavy workflows that span desktops, legacy systems, and SaaS. Without orchestration, agents behave inconsistently, fail quietly, and lack auditability; leaders have weak monitoring, budgeting, and root‑cause analysis. Xpress AI solves these by unifying agent–human collaboration in shared channels and tasks, running securely on‑prem or hybrid, orchestrating multi‑agent work with playbooks and recovery, integrating with desktop/legacy systems, and providing monitoring and governance—delivering reliable, end‑to‑end automation with full data control.
Opening the deck…
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Best customer profile
Regulated, privacy‑sensitive enterprises—especially financial institutions (banks, insurers, fintechs)—that require on‑prem or hybrid AI due to data residency and compliance. They run document‑heavy, long‑running workflows (KYC/AML, onboarding, loan/claims processing, invoice AP, compliance ops) across desktops and legacy systems, and are hitting limits with brittle RPA or chat‑style LLMs that lack shared context. Buyers are CIO/CTO, CISO, Heads of Operations/Shared Services, and Compliance/IT leaders seeking auditable automation with full data control. Typical environment is Windows‑heavy back office with SAP/Oracle/Microsoft stacks.
Notable paying customers
- Moneytree (Acquired by MUFG), Leading Insurance Company (Malaysia), Ivy league school (US)
Key milestones
We have launched an MVP to the public last year and have recently released an overhauled upgraded system based on user feedback. Achieved $300,000 ARR across all of our products.
Customer case
3 customer deployments, shown below.
Xpress AI · Moneytree
In productionOpen to read the case study
Xpress AI · Dynamite Circle
In productionOpen to read the case study