Three paths,
not hours sold
Every project starts with a defined engagement. You know what you're buying, for how long, and what you get.
AI Discovery Sprint

Come si svolge
- 01Interviews
Targeted meetings with technical and business stakeholders to map real processes and pain points.
- 02Use-case mining
We identify 10-15 possible AI use-cases in your specific context.
- 03ROI ranking
Each use-case is scored for impact, effort, and risk. Output: ordered scoring.
- 04Roadmap
Executable 3-6-12 month plan with prioritization and dependencies.
Deliverable
- Roadmap document (PDF, 15-25 pages)
- Business case with 12-month ROI estimate
- Technical plan for the top use-case
- Internal presentation workshop (2h)
Quando sceglierlo
- You know AI is needed but don't know where to start
- Internal stakeholders disagree on priorities
- You need to justify budget with data, not intuition
- You have 2-3 candidate projects and want to know which to start first
FAQ
Fixed fee, not T&M. Request a quote on a call.
Read-only, under NDA. No modifications.
2 Studio Futuro people (tech + business).
Total freedom: the roadmap is yours, execute it with whomever you want.
Agentic Prototype
Come si svolge
- 01Scope freeze
Define an atomic use-case with testable success criteria.
- 02Data & access
Set up dev environments, access to real data, minimal integrations.
- 03Iterative build
Weekly demos, course corrections managed with scope control.
- 04Delivery
Handover with documentation, runbook, code in client repository.
Deliverable
- Prototype deployed on client staging
- Full source code (client repository)
- Technical docs (setup, architecture, runbook)
- Demo video + 2h technical workshop
Quando sceglierlo
- You already have a clear priority use-case
- You want to validate tech feasibility before a bigger project
- The internal team has no LLM/agent experience yet
- You need a real demo to convince the board
FAQ
Working software on real data, not mockups. Deployable, testable, but narrow scope.
Yes, from day one. Client repository, open license.
We evaluate together: production, scope extension, or stop.
Next.js/React, Python/Node, agnostic LLM providers. No lock-in.
AI Team Enablement

Come si svolge
- 01Assessment
Team skill assessment, gap analysis, customized plan.
- 02Intensive training
4 weeks of training on Claude Code, agentic patterns, AI-first design.
- 03Guided project
The team implements a real case with 1:1 mentorship.
- 04Handover
Internal playbook, reusable patterns, continuous team rituals.
Deliverable
- Internal AI-first playbook (living document)
- Reusable pattern and template set
- Pilot project implemented by the team
- Continuous 1:1 mentorship for 8 weeks
Quando sceglierlo
- You have a dev team but no AI experience
- You want durable internal capability, not dependency
- You're hiring and want fast onboarding
- You have significant training budget
FAQ
Optimal 4-8 devs. Beyond 8 we split into groups.
No. It requires ownership and curiosity.
Both possible. On-site recommended for the first 2 weeks.
Optional monthly mentorship at reduced rate.