Complaints Policy And Procedure

AI Republic is a trading division of Third Republic Limited. This Complaints Policy and Procedure outlines how AI Republic handles and responds to complaints received in connection with its services.

  1. Our Aim

AI Republic is committed to providing a quality service and working in an open and accountable way that builds trust and respect. One of the ways in which we can continue to improve our service is by listening and responding to the views of our clients and stakeholders, and in particular by responding positively to complaints, and by putting mistakes right.

Therefore we aim to ensure that:

  • we treat a complaint as a clear expression of dissatisfaction with our service which calls for an immediate response
  • we deal with it promptly, politely and, when appropriate, confidentially
  • we respond in the right way – for example, with an explanation, or an apology where we have got things wrong, or information on any action taken etc.
  • we learn from complaints, use them to improve our service, and review annually our complaints policy and procedures


We recognise that many concerns will be raised informally and dealt with quickly. Our aims are to:

  • resolve informal concerns quickly
  • keep matters low-key
  • enable mediation between the complainant and the individual to whom the complaint has been referred


This policy ensures provide guidelines for dealing with complaints from members of the public about our services, facilities, staff and volunteers.

  1. Definitions

A complaint is defined as any expression of dissatisfaction, however, it is expressed. This would include complaints expressed face to face, via a phone call, in writing, via email or any other method. All staff should have sufficient knowledge to be able to identify an “expression of dissatisfaction” even when the word “complain” or “complaint” is not used.

  1. Complaints

The formal complaints procedure is intended to ensure that all complaints are handled fairly, consistently and wherever possible resolved to the complainant’s satisfaction.

If you wish to raise a formal complaint, please contact us in writing using one of the following methods:

  1. Responsibilities


AI Republic responsibility will be to:

  • acknowledge the formal complaint in writing;
    • respond within a stated period of time;
    • deal reasonably and sensitively with the complaint; and
    • take action where appropriate.


A complainant’s responsibility is to:

  • bring their complaint, in writing, to AI Republic’s attention normally within 8 weeks of the issue arising;
    • raise concerns promptly and directly with a member of staff in AI Republic;
    • explain the problem as clearly and as fully as possible, including any action taken to date;
    • allow AI Republic a reasonable time to deal with the matter, and
    • recognise that some circumstances may be beyond AI Republic’s control.


  1. Confidentiality:

Except in exceptional circumstances, every attempt will be made to ensure that both the complainant and AI Republic maintain confidentiality. However the circumstances giving rise to the complaint may be such that it may not be possible to maintain confidentiality (with each complaint judged on its own facts). Should this be the case, the situation will be explained to the complainant.

  1. Complaints Procedure:

Written records must be made by AI Republic at each stage of the procedure.

Stage 1

In the first instance, staff member(s) must establish the seriousness of the complaint. An informal approach is appropriate when it can be achieved. But if concerns cannot be satisfactorily resolved informally, then the formal complaints procedure should be followed.

 

Stage 2

If the complaint cannot be resolved informally, the member of the public should be advised that a formal complaint may be made and the following procedure should be explained to them. It may sometimes be appropriate for a different member of staff, preferably a member of the Management Team, to make this explanation.

  1. A formal complaint can be made either verbally or in writing. If in writing the attached form should be used. If verbally, a statement should be taken by a member of the Management Team, staff member or a supervisor.
  2. In all cases, the complaint must be passed on to the responsible person. In the event of a complaint about the responsible person the complaint should be passed to the responsible person’s Manager, and if the complaint is about the responsible person’s Manager this must be passed on to the Corresponding Director and so on.
  3. The responsible person or responsible person’s superior, depending on the nature of the complaint, must acknowledge the complaint in writing within one week of receiving it.
  4. One of the above will investigate the complaint. Any conclusions reached should be discussed with the staff member involved and their Line Manager.
  5. The person making the complaint will receive a response based on the investigation within four weeks of the complaint being received. If this is not possible then a letter must be sent explaining why.

 

Stage 3

  1. If the complainant is not satisfied with the above decision, then this will be reviewed by the CEO. The CEO will respond within four weeks in writing. The CEO’s decision will be final.

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Software Developers
Senior Engineers
Software Architects
Senior Software Architects
Software Tech Leads
Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering

 

Software Developers
Senior Engineers
Software Architects
Senior Software Architects
Software Tech Leads
Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering

 

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Front-end Developers
DevOps Engineers
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Cloud Engineers
Platform Engineer
Security Engineers
Mobile Developers
App Developers
No1 software engineers

Full-stack Developers
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Front-end Developers
DevOps Engineers
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Cloud Engineers
Platform Engineer
Security Engineers
Mobile Developers
App Developers
No1 software engineers

Skills

React.js
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AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
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React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

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Data Scientists
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Data Quality Engineers
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Data Scientists
Data Engineers
Data Architects
Data Modelers
BI Developers
Data Analysts
Data Quality Engineers
Data Governance Experts MLOps Engineers
DataOps Engineers
Data Product Managers
Executive Data Leadership

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Cloud DW: Snowflake, BigQuery, Redshift ETL/ELT Tools: Airflow, dbt, Fivetran, Talend Big Data Frameworks: Spark, Hadoop, Kafka BI & Visualization: Tableau, Power BI, Looker ML Libraries: TensorFlow, PyTorch, Scikit MLOps Platforms: MLflow, Kubeflow, W&B Data Governance: Collibra, Alation Data Observability: Monte Carlo, Databand Data Lakes: Lake Formation, Delta Lake SQL/NoSQL DBs: PostgreSQL, MongoDB Real-time Analytics DBs: Apache Pinot, Druid Gen

Sample of Skills Delivered

Programming in Python, R, and SQL
Python
Data Modeling Statistical
Analysis ETL/ELT
Pipeline Development
Database Design & Administration
Machine Learning Fundamentals
Cloud Data Warehousing
Data Ethics & Compliance
Data Security
Data Visualization & Storytelling
Real-Time Data Streaming

Programming in Python, R, and SQL
Python
Data Modeling Statistical
Analysis ETL/ELT
Pipeline Development
Database Design & Administration
Machine Learning Fundamentals
Cloud Data Warehousing
Data Ethics & Compliance
Data Security
Data Visualization & Storytelling
Real-Time Data Streaming

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AI Software Engineers
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AI Research Scientists
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Sample of Skills Delivered

Generative AI Development
Machine Learning Algorithms
Deep Learning Architectures
NLP and NLG
Computer Vision
Data & Feature Engineering
MLOps & Model Deployment
Statistical Analysis & Hypothesis Testing
Python and R Programming Expertise
Model Evaluation & Performance Tuning
AI Governance & Compliance
Autonomous AI Agent Engineering
Building Agentic AI Applications

Generative AI Development
Machine Learning Algorithms
Deep Learning Architectures
NLP and NLG
Computer Vision
Data & Feature Engineering
MLOps & Model Deployment
Statistical Analysis & Hypothesis Testing
Python and R Programming Expertise
Model Evaluation & Performance Tuning
AI Governance & Compliance
Autonomous AI Agent Engineering
Building Agentic AI Applications