Intelligence Practice · Practice 07
AI & Automation
Machine learning and intelligent agents that put real ROI on the P&L, not a slide.
- LLM agents with guardrails
- Process automation
- ML that ships to prod
Proof point
12 hrs/wk
saved per analyst after automating report generation
Core stack
PythonOpenAILangChainpgvectorAirflow
How we engage
A spine, not a black box
01
Use-case audit
We pick the workflows where AI pays back fastest.
02
Data & evals
Grounding and evaluation sets before any model call.
03
Build agents
Tool-using agents with human-in-the-loop where it counts.
04
Measure ROI
We instrument the time and cost actually saved.
01
LLM & agents
Retrieval, tools, and guardrails that keep outputs honest.
- RAG pipelines
- Tool use
- Evals & guardrails
02
Process automation
Bots that clear the queue without breaking the edge cases.
- Workflow bots
- Doc extraction
- Human-in-loop
03
Applied ML
Models in production with monitoring and retraining.
- Forecasting
- Classification
- MLOps