Make Silicon Valley's AI frontier work for your business.
We gather firsthand insight from the founders, engineers, and business practitioners building and using AI — and turn it into concrete applications fitted to your business and operations. Where needed, we support validation and execution.
Before the AI case studies, understand your business.
New AI solutions and use cases appear constantly. But bringing in the same methods and tools doesn't produce the same results when the customers, operations, data, decision-making, and organization differ.
What's needed isn't collecting cases — it's determining what can actually work for your business.
First, we organize where value and revenue are created, and where time and opportunities are being lost. Rather than asking "what can AI do," we clarify who should experience what change through AI.
- BUSINESS
- Which business outcome should grow
- WORKFLOW
- Which work or decisions are holding that outcome back
- PEOPLE
- Whose experience needs to change — customers, the field, or management
- PROGRESS
- From the current state, toward which state
Getting the answers from where AI is actually built.
Once the problem is visible, we identify the Silicon Valley founders, engineers, product, and business practitioners working on that theme.
What work do they actually use AI for? Which solutions, and how did the work change? Where did adoption stall, and what didn't work? How do they see the results?
Practical knowledge that search results won't show — gathered directly from the people involved.
Turn what we learn into AI applications built for you.
What works in Silicon Valley doesn't necessarily work in a Japanese company as-is. We check it against your customers, workflows, existing systems, data, approval processes, security, and organization — and organize what to adopt, what to change, and what to leave out.
Not a report listing research findings — a proposal your company can make its next decision with.
Rather than changing everything at once, we propose starting where business impact and feasibility are highest.
- Customers & market
- Does it fit the experience and business practices your customers expect?
- Operations & organization
- Can it run within current roles and decision-making?
- Data & systems
- Can the needed information be used safely and connected to the existing environment?
- The human–AI boundary
- What is delegated to AI, and where do people check and decide?
Confirming it works — starting from one workflow.
When the proposal is agreed, we validate on a narrowed scope.
We try it with real work and real data, and confirm the field can use it, the expected change happens, and there are no operational problems.
Based on the results, we support the call to continue, improve, expand, or stop. The scope of support is proposed to match the solution and implementation involved.
What counts as a result differs by engagement. We confirm the pre-implementation state, define the expected change and how to measure it, and compare after.
What we deliver is not AI adoption, but business change.
The starting point is the business goal; AI is one intervention along the way. We confirm the outcome of an engagement by whether the business progress defined at the start connects to the change observed after implementation.
Support starts where you need it.
AI Use Case Research
With your business and operations understood, we research relevant Silicon Valley practitioners, use cases, and solutions through direct interviews.
Strategy & Proposal
We analyze the firsthand insight against your conditions and propose priority application areas, delivery options, needed adaptations, and validation methods.
Pilot & Implementation Support
We validate real usability on the selected workflow, and support operating design, rollout, and results confirmation.
Depending on the engagement, this can be research and proposal only, or include validation and execution.
For example: exploring AI for a sales team.
This is one example to illustrate the support. The actual engagement is designed around your business and problem.
Understand your sales
Map the deal flow, the real work of proposals and follow-up, and where time is being lost.
Research actual practice
Gather firsthand insight from Silicon Valley practitioners using AI in sales.
Design the fit for you
Assemble the application around your customers, business practices, existing tools, and approval process.
Validate small
Narrow the scope and confirm it works with real deals and real data.
Connect to the next decision
Compare before and after, so you can decide to continue, improve, expand, or stop.
The starting point doesn't have to be an AI budget.
AI initiatives sit with different departments and budgets depending on the outcome. We can organize the support around wherever your consideration currently stands.
Business & operations
Sales & GTM
DX & IT
New business
If AI training for a team is the goal, see the Corporate Program. Corporate Program →
A first proposal for how AI could work in your business.
Share information about your company and what you are currently exploring.
Based on the information you share and publicly available information, we will outline where GranDrift may be able to help, an initial hypothesis for your business, and what would be worth confirming first — and send it by email within three business days.
If the direction feels relevant after reading it, we can explore the next step together.
There is no fee for the initial proposal. It is prepared from the information you share and publicly available information.