Boosting scale with an internal AI platform

Client Background

Pyne is an AI consultancy focused on AI automation and data platforms. To scale efficiently, we wanted to reduce administrative overhead and free consultants to focus on delivery.

Aspiration

Build an AI platform to automate back-office work, standardize internal tools, and increase revenue per consultant while keeping operations lean.

How We Did It

Internal AI platform: Hosted models and services on Azure, exposed through a secure, role-based web interface.
Automated operations: Hour aggregation and invoicing, project update emails, customer status updates, and accounts receivable automation.
Knowledge and copilots: An internal GPT with onboarding resources and playbooks to speed up ramp and reuse.
Data engineer toolset: Automated data comparison, a dbt migration assistant, and SQL column name identification to accelerate delivery.

Key Outcomes

Higher efficiency: Less time on admin, more billable output per consultant.
Better communication: Consistent, automated updates improve client transparency.
Scalable foundation: A unified interface and permissioning model make it easy to add new tools as we grow.
Future-ready: A strong base for analytics, ML, and automation across multiple domains.