8 tips for developing AI assistants

AI assistants for businesses are hype, and many teams were already eagerly and enthusiastically working on their implementation. Unfortunately, however, we have seen that many teams we have observed in Europe and the US have failed at the task. You can read why they failed here:

HOW AI ASSISTANTS ARE OFTEN DEVELOPED, WHAT THEY FAIL AT AND WHAT THEY CAN LEARN FROM IT

Learn more

8 practical tips for implementing AI assistants

1. Business analysis and prioritization

Start by asking business-related questions. Identify steps in your processes that can potentially be automated, taking inspiration from projects that have already been successfully implemented. Focus on the easiest and most obvious areas for quick improvement and success (the so-called "low hanging fruit").

2. Stakeholder involvement

Talk to those involved in the process to gain insight into how things really work. Look for specific, repeatable patterns. ChatGPT/LLMs are good at working with patterns.

3. Definition of quality criteria

Define a quality metric before you write the first line of code. For example, develop a list of 40 questions that the system should be able to answer correctly. Identify these correct answers in advance. This will be your first assessment dataset!

4. Prototype- Development

Give the developers a list of 20 questions with answers and ask them to create a prototype. Don't ask for a polished user interface at this stage; that would just be a waste of time.

5. Pattern recognition and pipeline development

Ideally, the developers bundle the questions into categories. They then develop a pipeline that prepares documents in such a way that a ChatGPT prompt can generate a correct answer for this question category.

6. Quality inspection and customization

Once the developers are satisfied with the quality, test the system prototype with the remaining 20 questions. This will be a wake-up call for many. Count the number of errors.

7. Iterative Improvement

Give the developers some time to adapt the system so that it can handle these 20 questions. Measure the time they needed for the customization.

Interested in using AI assistants for your company?

We look forward to hearing from you!

* required

We use the data you send us only for contacting you in connection with your request. You can find all further information in our privacy policy.

Solve captcha, please!

captcha image
Christoph Hasenzagl
Strategic Business Development TIMETOACT GROUP Österreich GmbH
Contact
Blog 5/16/24

Common Mistakes in the Development of AI Assistants

We share how failures when implementing AI occurr and what can be learned from them for future projects: So that AI assistants can be implemented more successfully in the future!
Wissen 4/30/24

GPT & Co: The best language models for digital products

Our analysis based on real benchmark data reveals which solutions excel in document processing, CRM integration, external integration, marketing support and code generation. Find your ideal model!

Blog 2/3/25

ChatGPT & Co: LLM Benchmarks for January

Find out which large language models outperformed in the January 2025 benchmarks. Stay informed on the latest AI developments and performance metrics.
Blog 10/1/24

ChatGPT & Co: LLM Benchmarks for September

Find out which large language models outperformed in the September 2024 benchmarks. Stay informed on the latest AI developments and performance metrics.
Blog 1/7/25

ChatGPT & Co: LLM Benchmarks for December

Find out which large language models outperformed in the December 2024 benchmarks. Stay informed on the latest AI developments and performance metrics.
Blog 11/12/24

ChatGPT & Co: LLM Benchmarks for October

Find out which large language models outperformed in the October 2024 benchmarks. Stay informed on the latest AI developments and performance metrics.
Blog 12/4/24

ChatGPT & Co: LLM Benchmarks for November

Find out which large language models outperformed in the November 2024 benchmarks. Stay informed on the latest AI developments and performance metrics.
Wissen 7/30/24

LLM-Benchmarks July 2024

This LLM Leaderboard from July 2024 helps to find the best Large Language Model for digital product development.

Wissen 6/30/24

LLM-Benchmarks June 2024

This LLM Leaderboard from june 2024 helps to find the best Large Language Model for digital product development.

Wissen 4/30/24

LLM-Benchmarks April 2024

This LLM Leaderboard from april 2024 helps to find the best Large Language Model for digital product development.

Wissen 8/30/24

LLM-Benchmarks August 2024

Instead of our general LLM benchmarks, we present the first benchmark of different AI architectures in August.
Wissen 5/30/24

LLM-Benchmarks May 2024

This LLM Leaderboard from may 2024 helps to find the best Large Language Model for digital product development.

Headerbild zur AI Factory for Insurance
Service 7/5/21

AI Factory for Insurance

The AI Factory for Insurance is an innovative organisational model combined with a flexible, modular IT architecture. It is an innovation and implementation factory to systematically develop, train and deploy AI models in digital business processes.
Navigationsbild zu Data Science
Service

AI & Data Science

We offer comprehensive solutions in the fields of data science, machine learning and AI that are tailored to your specific challenges and goals.
Headerbild zur Logistik- und Transportbranche
Branche

AI & Digitization for the Transportation and Logistics Indus

Digitale, transparente Prozesse und automatisierte Optimierung helfen Logistikunternehmen, Kosten und Leistung besser auszubalancieren, für eine starke, zukunftsfähige Rolle als Partner der Wirtschaft
Headerbild für lokale Entwicklerressourcen in Deutschland
Branche

On-site digitization partner for insurance companies

We find the optimal IT solution for insurance companies! ► Everything from a single source ✓ Personally on site ✓ Arrange a personal exchange now.
Headbilder zu innovativem Schadenmanagement für Versicherungen
Branche

Effective claims management for insurers

Insurers have the challenge of helping people quickly and reliably in the event of a claim. At the same time, they have to keep the costs of claims and benefits management low so that insurance premiums remain affordable.
Technologie Übersicht

Consulting for IBM products

IBM Software & Consulting with passion and experience – you can rely on us. Services relating to IBM Software Solutions have always been an integral part of our offer.
Headerbild zu Digitale Transformation bei Versicherern
Leistung

Mastering digital transformation in insurance

Digital transformation is the transformation of the corporate world through new technologies and the Internet ► Learn how insurers can master this.
Branche

Digital transformation in public administration

The digital transformation will massively change the world of work, especially in public administration. We support federal, state and local authorities in the strategic and technical implementation of their administrative modernisation projects.