01
Systems are split, re-keying remains
HR, attendance, and accounting each live in a different SaaS. People move between screens, copying data by hand.
AI agent platform for HR and the back office
Turn your procedures into workflows you build by placing nodes. Every action the AI takes is kept in a tamper-evident audit log.
Workflows visualized as nodes ／ Human approval in the loop ／ Execution records secured by hash chain
NeoBO Designer ／ workflow “Onboarding automation” (screen shows demo data)
HR, finance, IT. We integrate with the major business systems by API.
* Service names shown are trademarks or registered trademarks of their respective owners. Their appearance indicates integration support, not a partnership or endorsement.
* Systems not listed here can also be integrated through API calls, RPA, or custom nodes.
The problem
The more systems you add, the more human work it takes to connect them.
01
HR, attendance, and accounting each live in a different SaaS. People move between screens, copying data by hand.
02
Nobody knows whose approval it is waiting on, and the time drains into chasing it.
03
A small change to a screen stops it. Whoever built it has already moved on.
04
If you cannot explain the reasoning, you cannot use it for back-office work.
46apps
Average number of business apps per company in Japan
Source: Okta, “Businesses at Work 2025”
80%+
Said their workload had not been reduced even after moving the process onto a system
Source: Atled / Workflow Research Institute (2023)
1,600h/mo
Hours a major enterprise projected it would save in HR and general affairs by applying AI
Source: LINE Yahoo published case study (2025)
* The figures above are general industry reference points. They do not represent results from deploying NeoBO.
Approach
Connect
Sequence and branching become nodes and lines. Everyone involved reviews the same diagram.
Run
APIs go through connectors; where there is none, RPA drives the screen. Insert approval before the decisions that matter.
Record
Who instructed it, which version, and which model ran. A hash chain detects tampering.
Feature — Designer
Review what is actually running, not a specification document. Where it integrates, where it needs approval, where it branches — the flow of work stays visible as a diagram.
NODE PALETTE
Feature — Audit & Governance
What stops automation is not the technology — it is accountability. Every run is recorded as an audit event, and a hash chain detects tampering.
Review tamper-evident audit events (hash chain) along with the model catalog and outbox.
NeoBO Audit & Governance ／ hash chain and prompt version control (screen shows demo data)
Feature — Execution and operations
Route anything you cannot afford to get wrong through human judgment. How far the automation goes is yours to decide, based on the risk of the work.
approval.request
The run pauses at an approval node and waits for a decision. Who approved it, and when, is recorded too.
rpa.run
For internal systems with no API, RPA operates the screen instead.
monitor
See running and failed executions at a glance, down to the node where it stopped.
alert
Detects failures, delays, and cost overruns, and notifies you.
Use cases — HR and labor
Begin with the work that recurs constantly and cannot afford mistakes.
AI determines the access required from role and department. Once IT approves, accounts are created across every SaaS and notifications go out. What was granted stays in the audit log.
UP TO 300 PEOPLE
Turn manual onboarding into a template and remove the dependence on individuals.
1,000 PEOPLE AND UP
Consolidate branching by site and employment type into a single flow.
The departure date triggers a sweep of every SaaS to identify what needs revoking. A manager approves before anything runs, so nothing is disabled by mistake. The record doubles as audit material.
UP TO 300 PEOPLE
Close the gaps even without a dedicated IT team.
1,000 PEOPLE AND UP
Revoke access across dozens of SaaS in a single pass, with evidence.
Access is collected from every SaaS and reconciled against HR data to surface what should no longer exist. Only the affected entries go to managers for confirmation. The record of the review becomes the audit evidence itself.
UP TO 300 PEOPLE
Automate the review you never had the capacity for, once a quarter.
1,000 PEOPLE AND UP
Give internal control a tamper-evident record of every review performed.
AI classifies requests and policy questions, and drafts both the reply and the procedure. HR simply reviews and approves. The version of the prompt used is recorded as well.
UP TO 300 PEOPLE
Free part-time HR staff from front-line inquiry handling.
1,000 PEOPLE AND UP
Standardize the quality of answers with version-controlled prompts.
How rollout works
01
We learn how the work flows today and explain what can be automated.
02
We pick the first process based on how often it runs and how much of it is manual.
03
We or your team build it, then validate it without touching production.
04
Operate it through the run monitor while adding more processes.
Pricing
The configuration changes with the number of workflows, the number of runs, the systems you connect, and the governance you need. Start by telling us which processes you have in mind.
Start
One department, a handful of workflows. A setup for confirming the value first.
Expand
Multiple departments and many integrations. Full operation including RPA and audit.
Govern
SSO, fine-grained permissions, long-term audit log retention, and rollout support.
Frequently asked questions
Not necessarily. Our engineers work alongside you to build it. If you do have engineers in house, they can build it themselves from the documentation.
If you have engineers, they can modify it. If you do not, you can still point at exactly what you want changed on the diagram. We design the operating model around what you need.
Not only engineers, but business owners and IT staff as well. They can review the configuration that will actually run, before it goes live.
Yes. If there is an API, use the API call node; if there is not, RPA operates the screen; anything bespoke goes into a custom node.
Every run is recorded as an audit event, and you can trace the prompt version and the model that were used. For anything critical, we recommend adding an approval node.
Either a full replacement, or a phased migration in which the API portions become workflows while screen operations stay in RPA.
Yes. Begin with a single process and add more as you confirm the results in the run monitor.