AIAgentDevelopment
Executives, engineering leads, and business managers looking to hand off business processes from humans to autonomous AI agents
Designing agent systems that complete tasks autonomously — including ambient agents that run continuously in the background
Autonomous agents don't emerge from calling an LLM API. They require a layered design: responsible agents that decide, skills that execute, and a clear boundary between them — drawn at the unit of each business process. Who decides what, what gets handed off, when does it return to a human — each responsibility must be mapped per process. Whether to build on Claude Code is a question of implementation method. The substance is decomposing business judgment, execution, and exception handling into units that humans and AI can share. At Yakumo we run our own operations with an agent suite — a layered architecture of responsible agents, work skills, and operational rules that we run daily. We bring that design reality into your organization.
Is This For You?
- Automate sales and support processes with AI agents
- Agents that run continuously in the background of operations
- Hand off customer support to AI
- Separate AI decision-making from execution
- Agents that operate across business functions
If this sounds like your situation, please reach out for a free consultation. Contact us
What We Solve
What we solve
Sales proposals, first-response support, 24/7 internal helpdesks — processes where judgment and execution are mixed together either exhaust people when handled manually, or hit the ceiling of a bot that merely calls an LLM.
We layer responsible agents and work skills on top of Claude Code and run Yakumo’s own operations with those agents every day. We bring the same structure to your organization. Agents that decide, skills that execute, the data and operational rules that connect them — all of it in place before a process truly transfers from human to AI.
The responsibility of this service is not “starting to use AI” but taking you to the state where business is completed by agents.
After State
A set of purpose-built agents operates inside the organization day-to-day, automating routine work and routing decisions. Not "starting to use AI" — but reaching the state where business processes are completed by agents. Humans focus on approvals and exception handling; agents own routine execution and first-pass decisions.
Phases & Deliverables
Discovery and process analysis
Observe the target business process, agree on the pain points and desired after-state, and identify the boundary between decision-making and execution.
Agent design
Define the boundary between responsible agents and skills, and specify how decision-making and execution are separated.
Implementation and evaluation
Build agents incrementally and evaluate quality and behavior in the internal environment.
Delivery
Integrate into the production environment, prepare operational documentation, and conduct initial training.
Ongoing support
One to three months of post-launch support — adjusting and expanding based on operational logs.
Timeline & Pricing
A PoC engagement starts at From JPY 1M, with an MVP (production-ready quality) starting at From JPY 3M. Actual cost varies significantly by number of agents and scope of existing system integrations. Contract types: Lump sum or Time-and-materials.
Indicative estimates only. Actual cost varies significantly with the number of agents and the scope of integration with existing systems. Contact us for an accurate quote.
For detailed pricing, contract structure, payment timing, and NDA, please refer to the FAQ (Pricing & Contract).
FAQ