Module 01
Attendance and shifts
See who is present, late, on leave or blocked before payroll week becomes a cleanup project.
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Feature System
One operating layer for the work your team already runs every day.
HermanCloud turns reports, attendance, approvals, Telegram workflows, analytics, integrations and AI governance into one connected product surface.
6
Connected operations modules
one product surface
4+
Chat and delivery channels
Telegram, Matrix, GitLab
Audit
Controls built into workflows
RBAC, logs, AI routing
HermanCloud command layer
Operations pulse
Reports
128
+18 today
Attendance
93%
7 exceptions
Approvals
14
4 urgent
Captureready
Telegram report
Reviewready
Manager queue
Decidequeued
Approval trail
Governready
Audit + AI policy
AI summary routed through approved provider
Blocked work, missing reports and approval risk are summarized with audit context.
synced 2m ago
Product modules
Pick the first operational loop, then connect the rest.
Each module is designed to remove a repeated follow-up: missing status, late attendance review, loose approvals, unmanaged AI usage or spreadsheet cleanup.
Module 02
Daily reports
Turn scattered daily updates into reviewed records managers can search, summarize and trust.
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Module 03
Telegram bot operations
Let employees stay in Telegram while every report, leave request and overtime flow becomes governed data.
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Module 04
AI assistant and insights
Summarize risk, blockers and team patterns through AI routes admins can approve and monitor.
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Module 05
Analytics and report builder
Convert daily activity into trends, exceptions and exports leaders can use without spreadsheet cleanup.
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Module 06
Security and governance
Keep RBAC, audit logs, tenant scope, API keys and AI provider control close to every sensitive workflow.
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Operating flow
A daily signal travels through capture, context, decision and control.
The product story is not a pile of screens. It is a route from employee action to management proof.
01
Capture work where it happens
Reports, leave requests, overtime and check-ins start from Telegram, Matrix or the workspace without extra copy-paste.
02
Route every signal into context
Each submission is connected to a person, team, project, status, approval path and audit trail.
03
Help managers act before work stalls
Queues, alerts, exports and AI summaries surface late work, pending approvals and operational risk early.
Signal route
From action to proof
Employee action
Report submitted from Telegram
Manager decision
Approval, correction or escalation
Leadership signal
Analytics, export and AI summary
Control rails
The platform keeps adoption, management and IT concerns in the same conversation.
Teams can start lightweight in chat, while managers and admins still get visibility, permissioning, audit and reliable exports.
128
signals routed
Daily work becomes structured
Reports, check-ins, leave requests and overtime stop living as disconnected messages.
7
items need review
Managers get an action surface
Queues, approvals, exceptions and summaries appear before the week becomes cleanup work.
100%
policy-visible
IT sees the control plane
Tenant scope, provider settings, RBAC and audit logs stay close to the workflows they protect.
Integrations
Connected channels without creating shadow systems.
Channel
Telegram
Bot workflows, commands, sessions, menus, NLP tests and message logs.
Channel
Matrix
Secure room workflows, linked users, sync logs, appservice security and command acceptance.
Channel
GitLab
Self-hosted project mapping, webhook rules, delivery activity and workflow audits.
Channel
Email, SMS and OTP
Provider settings, templates, delivery metadata, retries and verification flows.
Buying triggers
HermanCloud fits when the team is tired of proving what already happened.
These are the moments where buyers usually feel the cost of disconnected operations.
!
Managers ask the same follow-up questions every day because status is buried in messages.
02
Attendance, leave and overtime are reviewed only when payroll or finance needs proof.
03
Teams use Telegram heavily, but leadership still exports and cleans data elsewhere.
04
AI is useful in demos, but IT needs provider control, usage logs and audit visibility before approving it.
Customer fit
01
Software teams where delivery status, daily reports and GitLab activity live in different conversations.
02
Remote and hybrid teams that need lightweight reporting without turning every update into a meeting.
03
Service companies with branch coverage, shift exceptions, leave requests and field reports to reconcile.
04
Operations leaders who want audit-ready workflows before spreadsheets become an internal dependency.