AI Enablement

AI & Automation

Useful AI. Built into your workflow.

Start with a specific task, connect the right information and give your team a practical tool they can use.

Six ways to put AI to work

AI Customer Support Assistant

Answer routine customer questions from approved information and hand requests to your team when needed.

Example: you provide your FAQs, price list and policies; we agree the response rules and the assistant drafts answers to routine questions; your team approves the rules before launch and takes over any conversation the assistant hands off; success is measured by routine questions resolved and handoffs that reach the right person.

AI Knowledge Assistant

Help staff find relevant answers across the internal information they are permitted to use.

Example: you grant access to the documents staff may use; the assistant answers questions with the source cited; your team checks answers against the source; success is measured by time saved finding information.

AI Proposal & Quote Generator

Turn a structured brief into a draft proposal or quote for your team to review.

Example: you provide a structured brief and your price list; the assistant drafts the proposal; a team member reviews and edits it before it is sent; success is measured by time from brief to sent proposal.

AI Meeting Summarizer

Turn meeting material into summaries, decisions and proposed follow-up actions.

Example: you provide meeting recordings or transcripts; the assistant produces a summary, decisions and follow-ups; the meeting owner reviews it before sharing; success is measured by review time and the completeness of the action items.

AI Operations Dashboard

Bring operational information together so your team can review trends and exceptions.

Example: you connect the data sources to report on; the dashboard shows trends and exceptions; your team reviews the flagged items; success is measured by how quickly issues are spotted.

AI Workflow & System Integration

Connect AI steps with your existing tools, data and approval workflows.

Example: you map an existing workflow and its approval points; AI steps are added where they help; people approve the steps that matter; success is measured by manual steps removed, with accuracy and exceptions checked.

Choose your engagement

Pilot

One AI feature, fully built and deployed in 4–6 weeks.

from $1,500
  • Start with one defined use case and agreed success criteria.
Discuss this option

Productised build

A complete, repeatable solution.

$2,000–$5,000
  • Choose an offering and agree the required integrations.
Discuss this option

AI partner

Ongoing optimisation, monitoring & scaling.

from $500/mo
  • Continue improving the deployed workflow with your team.
Discuss this option

Have an idea? Let's build it.

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