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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

We focus AI on very specific jobs to be done, connecting to the systems and data you already use rather than creating yet 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

Sample AI case studies

Case Study

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 copilot
Case Study

AI 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 docs