Types of quick actions

Summarisation

One-click summaries tailored to the workflow. Legal docs pull out parties, dates, obligations. Support tickets identify the issue and sentiment. Meeting notes list decisions and action items.

Classification & Routing

Incoming items automatically categorised and routed. Confidence-scored. High-confidence items routed automatically, uncertain cases flagged for human review.

Draft Generation

AI generates a first draft from context: reply to a ticket, report from data, proposal section from a brief. Starting point, not final output.

Data Extraction

Structured data from unstructured sources. Names, dates, amounts from contracts. Line items from invoices. Formatted for the downstream system.

Smart Suggestions

Contextual recommendations as the user works. Product suggestions, field auto-complete, next-action recommendations. Less cognitive load, faster decisions.

Quality Checks

AI reviews work as it’s produced: style guide compliance, data validation, inconsistency flagging, compliance issue detection.

How we build them

Identify Friction—Step 1

Map where the team loses time. Best opportunities are frequent, patterned, and time-disproportionate tasks.

Design Intervention—Step 2

Where does it trigger, what context does it receive, what does it output, how does the user interact with the result?

Build & Tune—Step 3

Prompt engineering, context injection, output formatting, integration with existing tools.

Test & Validate—Step 4

Quality testing with real workflow examples. Benchmark against human performance.

Deploy & Monitor—Step 5

Usage tracking, quality monitoring, feedback collection. Track adoption, quality, and impact.

What you get

  • Deployed AI actions integrated into existing tools
  • Prompt engineering and configuration documentation
  • Quality benchmarks and test results
  • Monitoring dashboard
  • Tuning guide for ongoing refinement

Want AI value in weeks, not months?

Quick actions deliver measurable time savings without a major build. If your team is doing repetitive, pattern-based work that eats hours, we can probably help fast.