What the Client Was Facing
A government agency needed an AI assistant capable of drafting policy documents and summarising legislation — but OFFICIAL-SENSITIVE classification made any cloud AI service unusable. The agency required on-premises deployment with full audit logging of all queries.
What ZippyOPS Was Engaged To Do
ZippyOPS was brought in to design and implement a solution addressing the root causes of the client's challenges — delivering measurable outcomes within a fixed engagement timeline. Our team worked embedded with the client's engineers throughout the entire project.
How We Solved It
ZippyOPS deployed and fine-tuned Mistral 7B on a curated dataset of government policy documents using LoRA fine-tuning on on-premises A100 GPUs. All queries were logged with user identity, timestamp and full response. An admin dashboard was built for IT to monitor usage, manage access and review audit logs.
Technologies Used
Measurable Outcomes Delivered
First government AI assistant operating entirely within OFFICIAL-SENSITIVE infrastructure
Policy document drafting time reduced 60% for the policy team
Full audit trail of every query — compliant with government data handling requirements
Fine-tuned model outperforms base model by 34% on domain-specific policy tasks
Want Similar Results for Your Team?
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