AGTO
An AI operations platform where AI learns the frontline, grows know-how, and runs operations.
Organizational AI Skill Platform
AI learns the frontline, grows know-how, runs your operations
AGTO is an AI operations platform that learns know-how from frontline conversations, documents, and FAQs, and accumulates procedures and judgment criteria as Skills. It reuses them across Q&A, unread summaries, recurring check-ins, approval-waiting, notifications, reports, and proactive suggestions — so AI value compounds instead of fading after a single answer.
Challenges
Three structural problems on every frontline
General-purpose AI and search alone cannot solve these recurring organizational issues.
Same questions and confirmations repeat
Past answers, exceptions, and good judgments are not reused by the next person in charge or other sites. Know-how stays personal and never becomes an organizational asset.
Procedures and judgment criteria are siloed
Documents, meeting notes, FAQs, and frontline conversations are scattered. Looking up the latest know-how costs time every single round, and only experienced staff can answer.
AI ends at a one-off answer
Even with search and summarization, AI does not reach confirmations, notifications, approvals, reports, or routine execution. The impact fades and never accumulates.
Knowledge Loop
Turn frontline conversations into skills that drive next work
AGTO continuously learns and reuses know-how through a three-step Input → Learn → Reuse loop.
Input
Capture know-how
Extract procedures and judgment criteria from frontline conversations, documents, FAQs, periodic reports, AI requests, and feedback.
Learn
Grow as Skills
Owners review, edit, and approve content. AI manages it as reusable know-how, with sharing scope split by team or site.
Reuse
Return to next work
Feed Skills back into Q&A, unread summaries, recurring check-ins, approvals, notifications, reports, and proactive suggestions — closing the learning loop.
Product
Core capabilities of AGTO
Skill, Routine, HITL, and Observe turn AI use into an operational platform.
Skill
Manage personal, shared, and system Skills. Accumulate procedures, judgment criteria, and checklists, with sharing scope split by team or site.
Routine
Bring recurring confirmations and approval-waiting back to operations. Go beyond Q&A and summaries to notifications, checks, reports, and routine execution.
HITL
Humans review AI proposals before they apply. Approval gates allow gradual delegation and prevent AI from changing operations unilaterally.
Observe
Visualize RAG quality, cost, and routing. Track usage, embeddings, skill router, learning status, and audit logs in one dashboard.
Use Cases
Bring AI back to the operational flow
Starting from frontline conversations, documents, and recurring reports, connect inquiry handling, summarization, periodic check-ins, approval-waiting detection, and proactive suggestions into a single operation.
AGTO 01
Q&A — standardize how questions are answered
Answer based on past conversations, documents, FAQs, and Skills — with cited sources and related Skills shown. Reduces dependence on individual experts.
AGTO 02
Digest — organize unread and open points
Beyond summarizing unread items, surface decisions, open points, next actions, and related Skills. Shortens catch-up time and clarifies next steps.
AGTO 03
Routine — automate recurring checks and approvals
Run morning checks, weekly reports, deadline reminders, and approval-waiting reviews along approved Skills. Reduces missed confirmations.
AGTO 04
Proactive AI — surface easily missed checks in advance
Based on accumulated know-how and feedback, propose easily missed confirmations, reports, and next actions. Reduces delays and grows with feedback.
Pilot
Validate impact in two weeks
Start small and validate Skill capture, Routine execution, and approval flows in two weeks.
Day 1-2
Scope
Select target team, work, and data scope. Define exclusions and permissions.
Day 3-5
Connect data
Connect and load conversations, FAQs, meeting notes, documents, and periodic reports as the initial dataset.
Week 1
Skill candidates
Turn repeating questions, procedures, and judgment criteria into Skill candidates and Q&A drafts.
Week 2
Routine & approvals
Validate Digest, Routine, approval flows, and report drafts. Evaluate summary quality and check rules.
Final day
Outcome & next
Confirm impact and outline next steps — rollout decision, improvements, and operating design.
Measurable indicators
Multilingual
Same Skills across ASEAN sites
Skills standardized in Japanese at HQ can be reviewed in each member's language at Thai and Lao sites. AGTO translates posts into each user's set language and feeds local feedback back into the next Skill update.
HQ in Japan
Standardize procedures and judgment criteria as Skills.
User language
Each user can set Japanese, English, Thai, or Lao.
Auto-translation
Posts in other languages display in each member's set language.
Feedback loop
Local feedback flows into the next Skill update.
Comparison
How AGTO differs
Unlike general AI chat or enterprise search, AGTO preserves answers as Skills and returns them to operations.
| Category | What they do | Difference with AGTO |
|---|---|---|
| General AI chat | Answer questions, write text | Preserves answers and corrections as Skills, reusable as team procedures next time. |
| Enterprise search / RAG | Find answers from internal documents | Converts found information into know-how usable in Q&A, digests, and recurring checks. |
| FAQ management | Register and share common questions | Pulls FAQ candidates from frontline conversations and turns them into approved standard procedures. |
| Workflow automation | Execute predefined steps | Records exception checks and the reasoning behind judgments, updating as it goes. |
| Slack / Teams AI | Summarize and search conversations | Also reuses documents, FAQs, and routines for confirmations and notifications beyond chat. |
Governance
Expand delegation in an auditable way
Rather than letting AI rewrite work unilaterally, approval cards, permissions, audit logs, and change history keep humans in the loop at the right decision points. Define target data, permissions, exclusions, approvers, retention, and Routine execution scope upfront.
Supported data and operations
FAQ
Frequently asked questions
Can we start from documents and FAQs, not just chat?+−
Does the AI act on its own?+−
How are confidential data handled?+−
Can we use AGTO without a polished FAQ?+−
If we run a small validation, what can we confirm?+−
How is pricing determined?+−
Let's discuss your needs
Whether it's AI adoption, process improvement, or cost reduction — we're here to help. With 1,850+ client engagements, we'll find the right solution for you.