AI Capabilities & Copilots
Bring AI into the flow of work with assistants that draft, summarise, and recommend – safely and with clear boundaries.
Where we apply AI
Our enterprise AI and AI copilot work focuses on specific jobs to be done, connecting to the systems and data you already use—rather than creating another isolated tool.
- Task‑focused copilots for finance, operations, and customer service teams
- Document understanding for contracts, invoices, and complex reports
- Natural‑language search across knowledge bases
- Intelligent routing and summarisation for tickets, emails, and requests
Principles
- Security and privacy by design
- Human in the loop for key decisions
- Clear success metrics before we start
Automyze Case Studies
Inbox copilot for a customer service team
A support team was overwhelmed by repetitive email queries and struggled to maintain response quality during peaks.
- Connected the copilot to historical tickets and knowledge articles
- Generated suggested replies that agents could review and send
- Surfaced related articles and next‑best actions inline
Impact: faster responses and more consistent answers without losing human oversight.
We started with a limited subset of queues, measured quality against a control group, and only then expanded the copilot to more teams.
Explore a support copilotAI assistant for reading long project documents
Project managers were spending hours reading status decks and requirements documents each week.
- Ingested slide decks and PDFs into a secure vector index
- Allowed natural‑language questions like “what changed since last week?”
- Generated summaries and action lists that could be shared with teams
Impact: less time reading, more time acting, with better knowledge sharing across projects.
The assistant respects access permissions so users only see content they are allowed to view.
Talk about an AI reader for your docsArtificial Intelligence Based Patient Caregiver Management System
A start-up wanted an intelligent assistant to schedule patient caregivers and adapt workflow based on caregiver availability.
- Python/AI workflow using Natural Language Processing to determine intent from caregiver responses
- Automated scheduling, reminders, and check-in coordination
- Next phase to support Facebook Messenger, WhatsApp and other channels
Impact: easier caregiver coordination and faster, intent-driven actions with minimal manual oversight.
Automyze delivered a Python/AI based workflow solution utilizing NLP that could determine intent from caregiver response and take appropriate action. The founders are enhancing specs to support alternate channels like Facebook Messenger and WhatsApp; the next phase will begin soon.
Discuss an AI solution for your workflow