Case Studies
Overview
Context
Challenge
Testimonial
Contribution
Impact
Why It Matters?
Overflow
Biotech | Information Technology & Services

Al for Operations Intelligence

Helping senior teams access, query and act on operational data through an Al assistant built for multi-dataset insight, evaluation and decision support.
Operations AI
Executive Insight
LangSmith
Knowledge Graphs

Turning Operations Data into Executive Insight

A global pharmaceutical client had large volumes of operational data spread across multiple systems, datasets and reporting processes. Senior teams needed a faster way to access useful insight without relying on manual reporting, technical query writing or disconnected dashboards.

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A global pharmaceutical client had large volumes of operational data spread across multiple systems, datasets and reporting processes. Senior teams needed a faster way to access useful insight without relying on manual reporting, technical query writing or disconnected dashboards.

Hybrid Mind Delivered

The capability has now moved beyond a basic Q&A layer. It supports multi-dataset routing, text-to-query, Snowflake and Neo4j integration, evaluation tooling and LangSmith-enabled observability. Around 50 users are in scope, with 2 datasets in production, 3 more ready in development and 1 further dataset in the pipeline.

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Impact: Hybrid Mind helped create a more scalable Al decision-support layer for operations, giving senior stakeholders a clearer route to trusted insight across complex operational data.

USER REACH
50
Users in scope
DATASET SCALE
6
Datasets in scope
QUERY QUALITY
70% avg
Text-to-query pass rate

Al-Powered Operations Insight

Hybrid Mind helped a global pharmaceutical client build an Al Operations Assistant that routes operational questions across multiple data sources, generates answers and uses evaluation tooling to improve confidence as the assistant scales.
01
The client problem
Senior teams needed faster access to operational insight, but data was spread across multiple systems and often required manual analysis, technical query writing or specialist support.
02
The Hybrid Mind solution
Hybrid Mind helped develop an Al Operations Assistant that routes questions to the right dataset, generates answers and supports deeper insight discovery across connected operational sources.
03
The business outcome
The assistant supports around 50 users and 6 datasets, with a 70% average text-to-query pass rate and 93% on the best-performing dataset.

What this enabled

Faster access to operational insight for senior stakeholders.
A simpler way to ask questions across complex operational datasets.
Reduced reliance on manual reporting and technical query writing.
Multi-source answers across Snowflake and Neo4j.
Al-supported insight discovery across operational performance, production activity and trends.
Stronger evaluation as new datasets are added.
LangSmith-enabled tracing to inspect, debug and improve agent behaviour.
A scalable foundation for Al-supported operations decision-making.

Delivery components

Al Operations Assistant | Operations control tower | Executive decision support Multi-dataset routing | Text-to-query | SQL generation | ASK mode | AGENT mode | Snowflake integration | Neo4j integration | Knowledge graph integration Evaluation 'ramework | Agentic insight discovery | Semantic model creation | LangSmith tracing | Agent observability | Agent debugging | Scalable Al platform Operational insight generation

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