AI support assistants

Answer routine questions. Bring people in when needed.

Give customers a way to find useful answers from your business content, while keeping your team available for questions that need judgement or a personal response.

What we build with you.

We start with the questions customers ask and the content you can maintain. Together we define what the assistant can answer, what it should avoid, and how a conversation reaches your team when the answer is missing or uncertain.

01

Approved knowledge

Organise the agreed help content, service information, and FAQs that the assistant can use, with a process for keeping them current.

02

Conversation boundaries

Configure response guidance and test common questions, ambiguous requests, and gaps in the available information.

03

Human handoff

Define escalation triggers and route the conversation context to your agreed support channel or team.

From the first conversation to a useful launch.

  1. Step 1

    Map the task

    Review the current steps, tools, task volume, and exceptions. Agree what success looks like and where a person needs to stay involved.

  2. Step 2

    Build and test

    Connect the agreed tools, configure the workflow, and test sample inputs, missing information, and failure cases with your team.

  3. Step 3

    Launch and support

    Roll out the workflow with a clear handover. Agree who owns the accounts, handles exceptions, and maintains the system after launch.

Before we start.

How automation projects are quoted

Can the assistant answer every question?

No. AI can make mistakes, and business content has limits. We test the assistant against agreed examples and define when it should ask for clarification or hand off to a person.

Can this work with our existing tools?

We review the APIs, integration options, permissions, and subscriptions available in your tools before confirming what can be connected.

How are pricing and timing decided?

We quote after reviewing the workflow, integrations, data readiness, and testing needs. Your proposal confirms deliverables, estimated timing, review rounds, and costs before work begins.

What happens after launch?

Your proposal defines the handover and any included support. Optional ongoing support, tool subscriptions, and AI usage are scoped separately, with account ownership and responsibilities agreed before launch.

Start with one workflow. Build around the way your team works.

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