# Errors down 46%: GPT-5.5 lands in Databricks agent workflows!

Hey everyone, I'm Shii-chan! Today I've got a fun one about AI agents working in the enterprise trenches.

## What was announced?

This comes from OpenAI's News. Databricks — the data and analytics platform — is bringing GPT-5.5 to its customer agent workflows!

The trigger was GPT-5.5 setting a new state of the art on OfficeQA Pro, Databricks' own benchmark. OfficeQA Pro measures how well a model can parse, retrieve, and do grounded reasoning over scanned PDFs, legacy files, and long-context documents — exactly the kind of tasks that tend to break production agent systems.

Databricks research engineer Arnav Singhvi puts it like this:

> "Codex with 5.5 is now state-of-the-art amongst all the agents and models out there."

## The story so far

With the previous GPT-5.4, there were rough spots. On older documents and scanned PDFs, it sometimes couldn't read the digits correctly.

As Singhvi explains, once you can't extract a certain digit, the whole trajectory of what the agent works with changes — one small parsing miss cascades downstream through the rest of the workflow. GPT-5.4 also sometimes took unnecessary search detours on multi-step tasks, leading to inefficient trajectories.

## What changes

GPT-5.5 improves this parsing story a lot. In the agent-harness setting, GPT-5.5 reduced errors by 46% compared to GPT-5.4, and it became the first model to surpass 50% accuracy on OfficeQA Pro.

Databricks saw the biggest gains in parsing-heavy workflows, describing a step-function lift on older documents and scanned PDFs. It was also more reliable at retrieving relevant context and finishing complex workflows without extra supervision.

## Dive Deep

So how does it slot into production? Databricks now offers GPT-5.5 through AI Unity Gateway, and customers use the model inside workflows built with AgentBricks and the Agent Supervisor API. Here GPT-5.5 acts like a conductor, orchestrating parsing, retrieval, and execution across specialized agents.

> "GPT-5.5 has been great in terms of knowledge lift. It's a step size function change in terms of doing knowledge work for us."

Having GPT-5.5 supervise these workflows looks like the shape of custom agents to come.

## Wrap-up

- Databricks brings GPT-5.5 to customer agent workflows (OpenAI's News)
- On its OfficeQA Pro benchmark: 46% fewer errors vs GPT-5.4, and first to pass 50% accuracy
- Biggest improvements in parsing older documents and scanned PDFs
- Delivered via AI Unity Gateway, with GPT-5.5 as the conductor in AgentBricks and Agent Supervisor API workflows

If you're building enterprise agents to automate paperwork-heavy work — or you're just curious how much GPT-5.5 actually helps in the field — this one's for you!