Service
AI Enablement
A fixed-price assessment that ranks your AI use cases, then a pilot that puts the first one in production with evaluations, security review, and your engineers trained to run it.
- Format
- Fixed-price assessment, then a milestone-priced pilot that takes one use case to production.
- Timeline
- 2–3 weeks assess, ~4–8 weeks pilot
- Team
- 1 lead engineer + 1 senior engineer
What you get
- A prioritized roadmap of AI use cases ranked by value and feasibility
- A readiness assessment covering data, security, and team skills
- Production integration of LLM and agent workflows into your product
- Evaluation harnesses so quality is measured, not guessed
- Your engineers trained to own and extend the system
Who this is for
Product and engineering leaders who are under pressure to “do something with AI” and want it to be the right thing. You may have run a pilot that stalled, or you may be starting from zero. Either way, you need a path from idea to a feature customers rely on.
What we do
We start with the assessment: a short discovery to map your workflows, data, and constraints. From that we produce a ranked list of use cases with an honest view of effort and risk. Then we build the first one with you: model selection, prompt and tool design, retrieval where it earns its keep, and an evaluation suite that runs in CI.
Security and privacy are part of the design, not a review at the end. We work inside your infrastructure, with your identity and logging, and we document every decision so your team can defend it later. When the blocker is the platform itself, Platform & Data runs alongside.
How it ends
Your team ships the feature, owns the code, and knows how to measure whether the next change makes it better or worse. You hold the roadmap, the repository, the evaluation suite, and the documentation of every model and data decision.
Questions about AI Enablement
What does the AI readiness assessment deliver?
A ranked roadmap of use cases with effort and risk per item, a readiness review of your data, security, and team skills, and a recommendation on what to build first, or a written no. It is fixed price and takes two to three weeks.
Do we own the code and the models you integrate?
Yes. Code, infrastructure, prompts, and evaluation suites live in your repositories and your Google Cloud project from the first commit. Nothing transfers at the end because nothing ever left.
Which models and platforms do you integrate?
Whatever fits the use case and your constraints. We work with hosted model APIs and Vertex AI, and we choose retrieval, tools, and guardrails per use case, with an evaluation suite that shows the difference.
Pricing, timelines, and security for every engagement: read the general questions.