Human-led AI implementation · 8 service areas · 16 detailed client case studies
AI implementation services

Practical AI work with a clear scope, inspectable outputs and handover.

AI Experts provides remote, human-led support for chatbots, assistants, prompts, automations, APIs, audits and troubleshooting. Each service is backed by concrete implementation work and a dedicated case-study path showing how client projects move from problem definition through QA and handover.

16 client case studies

Two complete A→Z case studies for every current service

The case-study library is based on work delivered across client engagements. Each case shows the starting state, constraints, implementation sequence, artifacts, QA and observable acceptance criteria, with identifying details omitted where they are not necessary to explain the work.

CB

Chatbot implementation

Support FAQ chatbot with escalation + website lead-qualification chatbot with structured handoff.

Read both chatbot cases →

AG

Agents & assistants

Source-aware research assistant + controlled internal operations/SOP assistant.

Read both agent cases →

€

€39.99 workflow audit

Lead automation audit + chatbot workflow audit, each ending with a ranked fix and retest plan.

Read both audit cases →

20

€20 prompt optimization

Support prompt cleanup + reusable research prompt rewrite for one focused instruction system.

Read both €20 cases →

See the full library

Browse every case study in one place.

Compare the implementation path, artifacts and acceptance criteria before choosing a package.

Open case-study library
What you receive

Implementation work you can inspect and maintain

The exact output depends on your request and platform access. We aim to leave you with practical artifacts, configuration and test material—not a vague consulting call.

01

Defined scope

A clear objective, supported use cases, constraints and acceptance conditions for the work being completed.

02

Configured or improved system

A working or improved chatbot, assistant, prompt, automation or integration where the selected platform permits it.

03

Reusable artifacts

System prompts, templates, data mappings, workflow rules, structured schemas, test cases and handover notes.

04

Testing evidence

Realistic scenarios, edge cases and regression checks used to validate the setup or reproduce failures.

05

Known limitations

A clear record of third-party behavior, unresolved dependencies and scope that remains outside the engagement.

06

Next-step plan

If the work extends beyond the current package, the remaining tasks are stated clearly rather than hidden.

Client-focused implementation

Detailed technical work instead of vague AI consulting claims.

AI Experts documents the practical delivery process: what needed to change, how the system was configured or diagnosed, what was tested, what was handed over and what remained dependent on third-party tools.

✓ Human-led service
✓ Concrete technical artifacts
✓ Clear testing and acceptance criteria
✓ No invented ROI or performance percentages
✓ Scope limits and third-party dependencies stated