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AI readiness resource

A bot is not ready until the workflow around it is ready.

Use this guide to check whether your knowledge base, data context, human handoff, risk boundaries, measurement, and internal ownership are ready before launching an AI bot. It connects with AI support automation, ecommerce customer operations, ShuttlePro, and CRM/OMS integration.

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AI Bot Readiness Guide

Guide Ready

Inside this resource

Practical checks, workflow questions, and implementation notes for teams that want automation without losing control.

KB

Knowledge base

Approved answers, policies, product data

Content

KB

Business context

CRM, OMS, ticket, payment, appointment data

System

KB

Handoff rules

When to stop and route to a human

Control

2

Live proof pages

3

Draft frameworks

5

Case study pages

What you get

✔  Do you have approved answers for common questions?

✔  Are policies, product information, pricing rules, and process steps up to date?

✔  Can the bot cite or follow source content instead of guessing?

✔  Who owns content updates after launch?

Readiness check 2: system context

✔  Does the bot need CRM, OMS, ticket, order, payment, appointment, or account data?

✔  Can that data be accessed safely?

✔  What should the bot never show or change?

✔  What must be logged for review?

Readiness check 3: human handoff

✔  Define when the bot should stop.

✔  Create escalation paths for angry customers, refunds, payments, medical/admin sensitivity, legal risk, or unclear requests.

✔  Make sure agents can see the full conversation and context after handoff.

Readiness check 4: measurement

✔  Track containment rate, not just conversation count.

✔  Track escalation quality.

✔  Review failed answers.

✔  Measure manual workload reduction and customer experience.

✔  Keep improving the bot after launch.

FAQs

Questions before starting

Short answers for teams trying to decide whether Techtion AI is a fit.

No. The better use case is reducing repeated work and giving agents better context. Humans still handle sensitive, unclear, or high-value cases.

Yes, but only for limited FAQ use cases. If the bot needs order, payment, ticket, or appointment context, integrations become important.

 

Pick a repeated, low-risk workflow with approved answers and clear escalation rules.

Want us to turn this into an audit or pilot?

Practical checks, workflow questions, and implementation notes for teams that want automation without losing control. If your support team is not sure whether AI should answer, route, or simply assist agents, book an automation audit and we’ll identify the safest first workflow.
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