AI·AX transformation

We find repetitive work, connect data and tools, and decide where people review. We build AI workflows that are actually used on the ground.

You adopted AI — but has the way you work changed?

Teams we work with

  • Teams spending too much time organizing material and reporting
  • Organizations whose information is scattered across many tools
  • Companies that need to set AI priorities and scope

The change customers get

Less repetitive work.

We cut time spent collecting, sorting and drafting so people can focus on what needs their judgement.

Better-quality decisions.

Sources, review points and exception rules are recorded so the automation isn't merely fast.

The team actually uses it.

We start within your current tools and permissions and organize the usage guide and operating responsibilities.

Metrics we check together

  • Work lead time
  • Revision & rework rate
  • Team usage rate
  • Review pass rate

Work diagnosis

From interviews and real workflows, we map repetitive steps, data sources and decision points.

Pilot design & build

We pick one high-priority task and connect it from input through AI processing to review and execution.

Team adoption & operation

We define usage guides, exception handling, access permissions and owners' roles, and improve with real usage feedback.

Services & pricing guide

AX diagnostic sprint

When you need to decide what to change first · 2–3 weeks · Quoted after consultation

  • Work interviews & flow analysis
  • Opportunity & risk priorities
  • Step-by-step action roadmap

AI workflow pilot

When you validate one core task for real · 4–8 weeks · Quoted after consultation

  • Workflow & prompt design
  • Prototype & tool integration
  • User validation & operating guide

AX operating system

When you extend to more work and teams · 8–12+ weeks · Quoted after consultation

  • Multi-task & permission system
  • Data & tool integration
  • Operations dashboard & team training

4C strategy

CUSTOMER VALUE

Does it give people's time back to important decisions?

COST

Does it reduce repetitive time, errors and rework costs?

CONVENIENCE

Can it be used inside the current workflow rather than as a new tool?

COMMUNICATION

Are AI's sources and the human review status visible?

From message to results

Empathy with the problem

Describe repetition and bottlenecks in the customer's real work language.

Usage scene

We show the scene of input, result and review before listing features.

Pilot proposal

We clarify the task to validate on a small scale, the data needed and the scope of responsibility.

Organization-wide adoption

We measure usage and review quality and extend to the next automation.

Deliverables

  • Workflow & opportunity report
  • Roadmap by priority
  • AI workflows and pilots
  • Usage, review & operation guide

Where AI belongs, we find inside your work.

This example illustrates a workflow design. It is not real customer data or real output, and it does not connect to external tools or send data.

Content production

Hunting for material again for every channel and repeating the brand explanation each time.

A draft is written using the brand standards and product information together, then checked by the owner.

  • Gathering context: Brand guide · product information · channel specs
  • Drafting: Message extraction · copy for each channel
  • Owner review: Fact check · brand expression · usage rights
  • Delivering the approved version: Final copy · production material per channel

External posting and ad spend go ahead only after the owner's separate approval.

Consultation & proposal prep

Preparing by switching between consultation notes, past proposals and service material.

Requests are organized within permitted material, and people judge scope and conditions.

  • Organizing requests: Consultation notes · services offered · approved cases
  • Proposal prep: Organizing questions · linking related material
  • Scope assessment: Feasibility · quote · contract terms
  • Next conversation: Confirmed meeting material · follow-up tasks

Final quotes, contract commitments and messages to customers are never executed automatically.

Team operations & reporting

Collecting everyone's updates and chasing what is missing.

We put work records into one format and separate exceptions and items that need a decision.

  • Collecting records: Work updates · schedule · issue log
  • Summarizing differences: Deduplicate · summarize · flag gaps
  • Exception review: Checking against the source · priorities · owners
  • Sharing execution: Reviewed report · next tasks · owners

Performance evaluation and HR decisions are not part of the automation scope.

The final scope and deliverables are agreed in the proposal and contract after the diagnosis.

Project inquiry