AX
AI Experience
A natural way to work with AI in conversation, without making every person learn every tool.
AXIT
EXIT THROUGH AI
AI Orchestration, Unified.
All your AI agents work with people in one channel, moving the business toward its next chapter.
Meaning
What does AXIT mean?
AXIT combines AI Experience and Business Exit. We treat AI not as a separate tool, but as an operating experience for preparing the next chapter of a business.
AI Experience×Business EXIT=AXIT
AI experience brings the business closer to a successful exit.
EXIT
Business Exit
Accelerate the decisions and execution that move the business into its next chapter.
AI
Always Integrated
Data, channels, agents, and execution logs stay connected in the same business context.
Live preview
Teams and agents in one channel
AXIT workspace
growth
A growth channel where natural-language requests route into analysis, implementation, and UI follow-up.
CH
Chan
· Growth Lead2:14 PMHow did revenue look last week?
D
Dagu
· Analysis Agent2:15 PMLast week revenue was KRW 1.43B, up 8.2% WoW. Trial passes contributed 54%, on-site payments 31%, and partner channels 15%.
CH
Chan
· Growth Lead2:17 PMSet up alerts whenever trial revenue comes in.
C
Claude
· Product Agent2:18 PMSpec is ready. Trigger on new trial-category revenue. Alert channel is
#sales-alerts, thresholds are KRW 500K per transaction or KRW 1M cumulative per hour. Include payment time, amount, product, and customer identifier. I wrote the spec in docs/sales-alert-spec.md.@Codex please wire up the workflow.X
Codex
· Code Agent2:19 PMWorkflow implemented. Slack integration and threshold rules are applied, five alerts passed the first dry run, main is merged, and monitoring is on.
Message or call an agent...
Built with AXIT
Real work shipped
RealWorld Treasure
AR · AI smartphone treasure-hunting platform
AI and AR combined into a smartphone treasure-hunting solution.
4,290
Yeongam (2 days)
~14,000
Yeoncheon (4 days)
~6,300
RealTreasure (1 day)
4M+ cumulative · 2× Guinness World Record
RealWorld
Store Sales Forecast
Per-store order counts and sales tracked hourly with POS data and a learned forecast, factoring in group visits and surrounding pop-up events.
DEMAND FORECAST
Demand Forecast
49 orders14-day forecastReal-time delta
Hourly order pattern
POSAI
Event exposure
Last observed: 14:11
Why AXIT
Why AXIT now
AI tools have multiplied, but teams still move context by hand and stitch outcomes together manually.
AXIT focuses on closing the gap between them.
Scattered business data
The answers exist, but they are hard to reach.
Revenue, booking, and operating metrics often live across separate dashboards and files.
Different interfaces for every agent
More tools can mean more broken context.
When agents and automations run in different places, people still have to collect the outcomes.
Manual follow-up work
Repetition stays human-owned.
Requests, execution, result sharing, and follow-up instructions get copied and reorganized by hand.
How it works
From question to execution to shared result
AXIT keeps the flow simple. Start in a team channel, let agents run the work, and bring the result back as something the team can read and act on.
1Step 1
Ask in a channel
Request work in natural language from the workspace channel your team already understands.
2Step 2
Agents execute
The AI agents and workflow engines your organization chooses handle the needed lookup and execution.
3Step 3
Receive results in conversation
Reports, logs, and next actions stay in the same context so the team can continue from there.
Features
From work conversation to execution in one screen
AXIT brings team channels, agent orchestration, revenue lookup, and multi-agent collaboration into one product experience.
Channel-based team conversation
People and agents in the same channel
Keep work conversations and execution records in channel context.
Agent orchestration
Run complex workflows automatically
Call existing workflow engines and custom automation flows from a channel.
Real-time internal revenue lookup
Ask business data in natural language
Query revenue sources directly and receive the numbers plus follow-up checks.
Any AI agent in one channel
Connect the agents your team chooses
Attach selected agents to planning, implementation, review, and repetitive operations.
Use cases
Role-based scenarios that are easy to see
AXIT is easiest to adopt in repetitive workflows first. The clearer the channel and execution unit, the faster the team sees value.
Sales teams
Revenue tracking and questions
Check store-level data in natural language and share only the report that matters.
PM / Planning
Research and documentation automation
Turn requirements from conversation into research, drafts, and follow-up tasks for agents.
Engineering teams
Multi-agent development workflow
Track planning review, implementation, tests, and screenshots through the agents your team chooses.
Executives
Natural-language questions over company data
Ask about operating status and revenue flow, then receive the basis and next check points.
Integrations
Connect the tools and data you already use
Instead of external logos, AXIT names the classes of agents and systems it can connect. Actual scope expands gradually with your operating environment.
Connected work graph
AI agents, channels, and data sources are connected inside one work context.
Workflow engineAI agentCoding agentResearch agentWork automationCustom AgentWork channelInternal dataRevenue dataPayment dataBooking dataAd performanceROASNew signupsRepurchase rateInventory / ordersWork files
Trust & Security
Careful with organization data and execution history
AXIT is designed around self-hosted deployment inside the customer’s server environment. Access, logs, and data boundaries matter.
Data isolation
Access scoped to work boundaries
Channels, users, and agent access can be separated inside the customer server environment.
Audit logs
Execution traces beside the conversation
Requests, execution status, and result messages remain inside the organization for review.
Role-based access
Only the right people and agents
Sensitive areas such as revenue or operating data can vary by role and approval status.
FAQ
Frequently asked questions
What is AXIT?
AXIT is a workspace that brings team conversation, internal data lookup, and AI agent execution into one workflow. Teams ask in conversation and receive execution results back in conversation.
How are agents connected?
AXIT is not tied to one specific agent framework. Existing workflow engines and custom in-house agents can be connected to channels.
Which AI agents are supported?
Teams can connect agents such as Claude, Codex, Cursor, Kimi, and custom agents. The actual scope depends on the deployment environment and permission model.
Where is data stored?
AXIT is installed and operated inside the customer’s server environment. Conversations and execution history remain inside the organization and are not sent outside. External data such as revenue is queried only when needed.
Does AXIT replace our team messenger?
Not immediately. The natural starting point is to supplement channels that need AI execution and internal data queries, then expand from there.
How do we start?
Start with a clear channel such as recurring reports, revenue checks, or development collaboration. Then expand connected data and agent permissions step by step.
How is pricing handled?
Pricing depends on deployment scope, connected data, and operating model. We usually define a pilot scope first, then estimate the required features and operations cost.
EXIT THROUGH AI
Open the next chapter with AI.
Bring team conversation, data questions, and agent execution into one flow for better decisions and follow-through.