Shipping AI use cases while building a firm-wide AI platform
How an FDE team could deliver the first AI use cases for a consulting firm while laying reusable platform foundations.
The situation
A professional services firm has many AI ideas across practices but no shared platform, so each team experiments separately with inconsistent security. Leadership wants quick wins and a foundation that scales.
Our approach
Pick two lighthouse use cases
Choose high-visibility use cases, such as proposal drafting and knowledge search, with eager practice leads.
Build on shared components
Deliver both use cases on a common model gateway, retrieval service and evaluation tooling.
Bake in governance
Apply the firm’s data-handling rules, client-confidentiality boundaries and logging from day one.
Template the pattern
Turn the components into templates other practices can reuse.
Enable the CoE
Train the firm’s new AI Center of Excellence to run and extend the platform.
Typical technology
What success looks like
Metrics we would agree with you up front and track throughout:
- Time to launch the second use case vs the first
- Adoption in lighthouse practices
- Reuse of shared components
- Security exceptions raised
- New use cases started by the CoE
This is an illustrative scenario showing how Inspired Infotech approaches this type of problem. It does not describe a specific client, and actual approach and outcomes depend on each organisation’s systems, data and goals.
Services behind this scenario
Forward Deployed Engineering
Senior engineers embedded with your teams to ship AI and data solutions into production, fast.
Learn moreEnterprise AI
AI strategy, platforms, governance and change management to scale AI across the organization.
Learn moreGenerative AI
LLM-powered assistants, RAG search and content automation — secure, grounded and enterprise-ready.
Learn moreFacing a similar challenge?
Let’s talk about your situation and what a realistic plan looks like.