Build AI into
operations and
revenue.
Delivery is an independent package for building AI agents, data-integration platforms, and production systems that improve internal work and create customer value.
It is a build package that uses AI agents inside the delivery process to reduce implementation cost and improve iteration speed.
What Delivery builds
We build the intelligence foundation every company needs: systems where AI, data, operations, and customer value work together.
AI agent operating platforms
Implement drafting, research, classification, matching, and approval support as part of real workflows, not as isolated tools.
Data integration and decision platforms
Unify data across CRMs, core systems, SaaS, and spreadsheets into a form usable for decisions and execution.
New services and revenue products
Go beyond internal efficiency by shaping customer value, pricing hypotheses, demos, and sales process for service launch.
AI extensions for existing products
Add AI features, design systems, admin screens, and API integration to improve usability and extensibility.
AI-native delivery
Development support, rebuilt around AI agents.
We use AI agents for specification drafting, implementation assistance, test generation, refactoring, documentation, and review preparation. Human engineers remain accountable for architecture, quality, security, and product judgement.
Lower implementation cost
AI accelerates routine front-end and back-end work, letting engineers focus on design and quality.
Quality and speed together
We do not ship raw AI output; review, testing, and operational design bring it to production quality.
Operations and product in one view
We choose implementation that supports both internal efficiency and customer value or revenue growth.
Package scope
Delivery covers the path from requirements and architecture through tests, deployment, and continuous improvement.
Requirements and value definition
Translate operational value, customer value, success criteria, and initial scope into buildable requirements.
Architecture design
Design the full architecture across AI, data, permissions, system integration, and operations monitoring.
PoC / MVP
Validate feasibility, UX, and operational fit in short cycles, narrowing the right production scope.
Production development and integration
Implement front end, back end, database, AI agents, and API integration as one product.
Testing and deployment
Verify quality, security, exception handling, and usage logs before release into operations.
Improvement cycle
Iterate from usage, outcome KPIs, and field feedback after release.
Engagement patterns
Delivery can be scoped as a build project, a service-launch project, or a combined development and go-to-market engagement.
MVP / production build
- MVP scope
- Production design and build
- Deployment and handover
Service and revenue design
- Value proposition
- Pricing hypothesis
- Sales materials and demo design
Initial adoption and onboarding
- Initial deal support
- Onboarding flow
- Adoption and improvement rhythm
Outcomes and KPIs we design for
Delivery is measured by adoption, operational impact, customer value, and the next revenue or improvement gate.
Internal effort reduced through ad-ops automation
BPSP service launched in three months
MAU-scale product growth supported
From concept to improvement cycle
Proof and selected cases
Representative examples across product expansion, AI service launch, operational automation, and scalable consumer products.
EcoNiPass: feature expansion and design system
Added product features and UI foundations so the service could keep improving over time.
Robot Lawyer: AI legal service
Designed and built an AI service foundation for first-response legal consultation and early business launch.
Seikyu Robo: BPSP service in three months
Advanced business hypothesis and implementation together to launch a market-ready service quickly.
Ad-ops automation: 40% internal-effort reduction
Automated checks, transfer work, and reporting while keeping operational quality stable.
Order core system: semi-automated management
Connected orders, inventory, and confirmation work to semi-automate order management.
Dropp: growth to 300k MAU
Supported early product improvement and scaling foundations for usage growth.
Priced as an investment in the loop — not as man-months.
Delivery is contracted as time & materials with milestones and a cap — monthly prepaid, quarterly committed. We do not guarantee outcomes; we design them. Discounts are not offered; scope is what we adjust.
Build the first learning loop in production for a single business domain. Commitment from three months.
- One business domain
- Dedicated team incl. FDE
- Monthly prepaid, quarterly commit
- T&M with milestones
Implement loops across multiple operations — data foundation, AI agents and workflows built as one system.
- Multiple operations & teams
- Data foundation + agent fleet
- Monthly prepaid, quarterly commit
- Monthly executive review
Company-wide decision loops, including governance, security and core-system integration.
- Company-wide, multi-business
- Governance & audit design
- Monthly prepaid, quarterly commit
- Resident lead architect
Final scope and pricing are confirmed from the Discovery blueprint — target loops, data assumptions, systems, and governance requirements.
How Delivery relates to Discovery and Growth
Delivery stands on its own, but it also connects naturally to upstream concept design and downstream compounding operations.
Discovery
Clarifies what to build, investment priority, and data assumptions.
Delivery
Turns the agreed concept into production AI, data, and operational systems.
Growth
Operates the live loop for compounding returns — monitoring decision quality, expanding across departments, adding new loops.
Frequently asked
Common questions about Delivery scope and starting point.
Yes. If you already have a concept, requirements, or business hypothesis, we can start from Delivery after reviewing it. If assumptions are unclear, we add a short alignment phase.
CONTACT
Build the intelligence foundation your company can keep using.
Tell us about the operation, service, or product hypothesis you want to bring into production. We will organise the fastest path to a buildable Delivery scope.