From AI in use to business value

Your company already uses AI.Where are the results?

A quick response does not resolve a customer request. Reading a document does not release an order. See what may stand between using AI and the results your company needs.

Find your situation

What happens in your operations?

Open a situation to see what to investigate and how to evaluate a change.

Review

The response arrives quickly. The review takes time.

The team checks, corrects and rewrites before using it.

Explore the situation

In everyday work

AI prepares a response about a delivery. Before sending it, someone still needs to find the order, check the deadline and correct information. Writing is faster; handling the customer request still involves several steps.

What to check

What information does the team need to look up after the response?
Which errors keep recurring, and which could compromise customer service?

What could change

Connect the order context and the current rule to the response. Separate cases that can proceed with the agreed review from those that need further analysis.

Which result to evaluate

Compare the total time to resolve the customer request, corrections and significant errors across equivalent cases. A faster response only helps if it does not shift effort to another step.

How Gaulett can help Gaulett identifies what is missing to make a decision, adjusts information retrieval and routing, and compares the effect with the current process.

Integration

AI helps. The team types everything again.

The information is ready, but it does not reach the next system.

Explore the situation

In everyday work

AI reads the details of an order received by email. The team copies the fields into the sales system, looks up the customer record and asks someone else whether it can proceed.

What to check

At which handoff is information copied or left waiting?
Which rule allows the task to proceed, and who handles exceptions?

What could change

Prepare the fields in the system's format, apply checks and route for approval. The integration only performs authorized actions; discrepancies go to someone who can decide.

Which result to evaluate

Compare repeated data entry, returns for correction and the time until the order is ready for the next step. Also check whether the waiting has simply moved elsewhere.

How Gaulett can help Gaulett connects AI output to the rules, systems and responsibilities needed to move the order forward.

Cost

Usage grows. Few tasks get finished.

Retries and reviews increase the cost of each deliverable.

Explore the situation

In everyday work

The same document goes through AI several times. The team tries different instructions, receives inconsistent outputs and finishes checking manually. The number of queries grows without showing how much work has been completed.

What to check

How many attempts does it take to complete a task?
What is the cost of processing, integration and human review?

What could change

Find the cause of repeated attempts. Compare rules, automation and AI for each step, with a limit on attempts and a handoff when the solution cannot resolve the task.

Which result to evaluate

Track the total cost per task completed to the required quality. Compare similar cases and include human effort; reducing usage without maintaining quality is not enough.

How Gaulett can help Gaulett analyzes the cost of the whole task, tests alternatives and prioritizes changes by their expected effect on operations.

Choose a change. Check its effect.

Gather representative cases, including exceptions. Compare against the current baseline and agree on the decision criteria before expanding use.

Keep

The improvement is evident and the required quality is maintained.

Adjust

A cause has been identified and there is a change to test.

Suspend the affected use

This use does not meet the necessary conditions. Define the handoff to a person and the criteria for resuming.

If the evidence does not yet support a conclusion, define what still needs to be measured. Gains in time, capacity or revenue need to be verified in the company's context.

The next step depends on what is missing.

Services can be commissioned independently.

Where is AI still falling short of the expected value?

Bring a task, what the solution does today and what your team still needs to resolve. Let's discuss what deserves attention first.

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