> ## Documentation Index
> Fetch the complete documentation index at: https://irisdocs.prescientlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Consulting Practice FAQ

> Common questions about starting, selling and running an AI consulting practice.

## How narrow should my niche be?

Narrow enough that buyers recognise themselves and the problem, but broad enough to build pipeline. Treat early positioning as a testable hypothesis.

## What should I sell first?

A bounded paid diagnostic is often a strong first offer because it reduces client commitment while creating evidence for larger implementation work.

## How many stakeholders should I interview?

There is no universal number. Cover materially different perspectives: sponsor, process owner, frontline users, exceptions and adjacent teams. Add interviews until the picture stops changing materially while ensuring important roles are represented.

## Should I price by day rate?

Use day rates when buying capacity is genuinely the model. For a repeatable diagnostic, fixed or value-informed fixed pricing usually creates clearer scope and incentives.

## What if I am strong technically but weak commercially?

Focus first on positioning, discovery, business language, qualification and proposal discipline. Technical depth only becomes commercially useful when tied to an important client problem.

## When should I hire?

When the bottleneck is consistently delivery capacity or a repeatable specialist need—not simply because one month is busy.