Custom GPTs & RAG Systems for Professional Services
Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. Engineered for professional services teams.
Professional Services teams don't need a generic vendor — they need custom gpts & rag systems built around how they actually operate. Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. Agency tools, scheduling platforms, and proposal systems that automate operations so you can scale billable work.
Generic models don't know your policies, products, or history — and they hallucinate. Your knowledge is trapped in PDFs, wikis, and people's heads. For professional services teams specifically, operations run on email and spreadsheets. Scheduling, proposals, and client comms eat non-billable hours, and scaling means hiring more admins.
- 01Blueprint how professional services teams actually use custom gpts & rag systems today, and lock scope, price, and the metric before code.
- 02Prototype the highest-value custom gpts & rag systems loop against real professional services data — not a generic demo.
- 03Forge a production-grade build on Pinecone, Weaviate, pgvector, with CI/CD and observability from day one.
- 04Harden and hand off documented, ready for professional services teams to extend.
- Custom GPT configuration & deployment
- RAG knowledge-base architecture
- Document ingestion pipelines
- Semantic & hybrid search
- AI over your internal data
- Vector DB setup (Pinecone, Weaviate)
- Fine-tuning & prompt engineering
- Multi-source knowledge retrieval
- Agency & operations platforms
- Scheduling & booking systems
- Proposal & contract automation
- Client portals & comms automation
- AI copilots for delivery teams
- Reporting & utilization dashboards
What you can expect
Questions, answered straight
Agency tools, scheduling platforms, and proposal systems that automate operations so you can scale billable work. We bring custom gpts & rag systems depth to those exact systems rather than retrofitting a template.