AI across the R&D pipeline
Find where AI speeds research without risking regulated work.
- 1Maps AI ideas by stage
- 2Separates GxP from non-GxP uses
- 3Plans validation effort
Boston, MA · AI Strategy & Consulting
An AI roadmap for Boston organisations that picks use cases scientists, clinicians and investment teams will trust, and plans the validation they need.
AI Strategy & Consulting in Boston
Boston is built on science and stewardship: biotech and pharma in Kendall Square and the Seaport, world-class hospitals, universities and large asset managers. The work is regulated and evidence-driven, so AI has to be validated, traceable and careful with sensitive data.
Where it fits
Find where AI speeds research without risking regulated work.
One plan for AI across teaching, research and admin.
Decide where AI supports research, reporting and operations.
Built for Massachusetts rules
A written information security program covering AI systems too.
Safeguards and a business associate agreement for anything touching patient data.
Validated systems, audit trails and e-signatures for regulated records.
Student records only shared with AI tools under the right agreements.
Incident response and customer notice for breaches of customer information.
Working together · Eastern Time
Your morning is our evening, so we meet live at the start of your day and build while you sleep.
How we work
We learn your goals, constraints and the processes that matter most.
We run discovery sessions and review your data and systems.
We score use cases on value, feasibility and risk, together with you.
We hand over a roadmap, and can stay on to deliver the first phase.
We classify each use case by whether it creates or changes regulated records. Non-GxP uses can move quickly, while GxP uses are planned with validation and change control from the start.
Yes. Workshops include scientists or clinicians alongside IT and quality, so the roadmap is both useful and supportable.
A prioritised list of AI use cases, a readiness assessment covering data, systems, skills and governance, and a phased roadmap with the decisions and investment each phase needs.
No. Part of the work is finding out what state your data is in and what it needs for each use case. Many useful AI projects can start with the data you already have.
Yes. The same team designs and delivers agentic AI, generative AI, data platforms and applications, so the roadmap moves straight into delivery without a hand-off.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
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