Don't miss MoveAssist at the WERC Global Workforce Symposium!


MoveAssist are looking forward to exhibiting at the WERC Global Workforce Symposium this September! 

Robby Wogan, Soren Sturup-Toft and Guy Smith will be attending the Symposium from the 27th - 29th September 2017 at the Hyatt Regency in Chicago. Visit booth 643 to see our Global Mobility software, mai-assignment, and the award-winning Global Mobility chatbot, MAIA. 

If you would like to schedule a time to meet with a member of the team to discuss your Global Mobility software needs and how mai-assignment and MAIA can help your team, please contact us at 

You can learn more about the WERC Global Workforce Symposium here and register to attend the event.

See you there!

The mai Team

MoveAssist are attending the 'Expat Academy Extravaganza' this October

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As a proud training partner of Expat Academy, MoveAssist are delighted to be attending the Expat Academy Extravaganza. 

Set to be an insightful day, with keynote speakers and network huddles, it is certainly one not to be missed. 

The MoveAssist team will be on hand to answer any Global Mobility technology questions you may have - if there is anything we can help you with before the event, be sure to email and a member of the team will be in touch shortly.

The one day event will be held on the 9th October at etc. venues in St.Paul’s, London and you can reserve your place here.

We will keep you posted with more developments and MoveAssist’s stand information nearer the time.

See you there!


The mai Team

See you at the FEM APAC Summit & EMMAs!

MoveAssist will be attending this year’s FEM APAC Summit & EMMAs at the Harbour Grand Hotel in Hong Kong on the 7th September 2017.

If you would like to meet with a member of the team to discuss your Global Mobility software needs and how mai-assignment and MAIA can help your team, please contact us at

We are also delighted to be attending the APAC EMMAs where MAIA has been shortlisted for the ‘Most Innovative Use of Technology in Global Mobility’ award. We hope global mobility’s first chatbot will be successful once again!

We look forward to seeing you there!

The mai Team

Interconnectivity: augmenting your global mobility programme through API technology

‘How a business wins or loses is increasingly dependent on how well they connect to external party apps, devices and services.’
— (Fortune, 2015)

Through interconnectivity, all parties can share up-to-date and relevant data to contribute to the overall success of a global mobility programme. This is particularly helpful when trying to develop a coherent and all-encompassing global mobility strategy with multiple stakeholders across many office locations and time zones. Software which allows users to work from within an application which they are already familiar with and transfer relevant information quickly and easily (so it’s immediately available in the receiving application), will improve accuracy with relatively low implementation costs. Before now, this process was extremely complex and time-consuming to configure and set-up.   
Whilst systems ‘talking’ to one another has been done before, advances in technology means that system integrations utilising a ‘RESTful API’ are more efficient and cost-effective. For the tech-minded, RESTful APIs are an increasingly popular alternative to traditional web service protocols such as SOAP. Real-time two-way transfer of data between global mobility software and other internal and external applications will augment the core capabilities and efficiencies of the global mobility function. 
Below are some examples of how your global mobility software could be enhanced by a RESTful API:

Internal uses 

With integration between key HRIS and finance systems and the global mobility software core employee information such as demographic data, cost centres and payroll information as well as assignment details can be kept current and with intelligent workflow, global mobility teams can be prompted when these changes impact on assignments. 
Information held in talent management systems is increasingly important to empower global mobility in assignment selection and review discussions with the business. This is enhanced if data is held on employees who are willing to relocate, details of relevant skills, languages and working rights. 

External uses

By being connected with your vendors you can initiate and pass confidential data in a secure way. This can be particularly important when Personal Identifiable Information and compensation data is required by compliance vendors for tax and immigration. The two way flow means that global mobility teams can see the status of services managed such as the progress of tax return filings or how a home search is coming along.

Whilst businesses become more reliant on the ease and speed of information sharing, EY’s Global Mobility Effectiveness survey indicates that only 18% of Global Mobility teams have robust technology in place. For those who do have technology, this may be effective for managing assignments, however, it may not be API-ready and able to cope with integration; the key to future-proofing its usability in the workplace.      

Good things come in threes for MAIA!


MAIA, the global mobility chatbot, has been shortlisted for the third time this year! 

Following recent successes, MoveAssist are delighted to announce that MAIA has once again been shortlisted, this time for this year’s FEM APAC EMMAs awards. MAIA has been shortlisted in the ‘Most Innovative Use of Technology in Global Mobility - Assignee Management’ category.

The award ceremony will be held on Thursday 7th September at the Grand Harbour Hotel in Hong Kong. Book your place now!

MoveAssist would like to congratulate all those shortlisted and look forward to the results on the 7th September.

Check out MAIA in action in our new video!

The mai Team

MAIA in Action! [Video]

Check out our new video featuring our award-winning global mobility chatbot, MAIA.

We’d love to hear what you think, so please leave us a comment!

MAIA works in partnership with our global mobility software mai-assignment by drawing on the data held within the application to answer a whole host of user questions.

Like what you see? Why not book a demonstration by emailing 

MoveAssist’s successful month of May!

With May thought to be named after the Roman goddess Maia, it is  fitting that MoveAssist has enjoyed a very successful month! Maia means ‘she who is great’ and Global Mobility’s first chatbot certainly has lived up to its namesake - read on to hear more about our productive month of May.  

The 11th May saw MAIA WIN ‘Technological Innovation’ at the Re:locate Awards. This win was particularly poignant for MoveAssist who won this category at the first ever Re:locate awards 10 years ago with ReloAssist!

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MAIA was also awarded Highly Commended at the FEM EMMAs Americas in what was a very competitive ‘Most Innovative Use of Technology in Global Mobility (Assignee Management)’ category.

MoveAssist were also delighted to present at The Expat Academy’s Bitesize Briefing last month where CEO, Robby Wogan, discussed the topic of AI, chatbots and predictive analytics and their application in Global Mobility. The presentation was well received and the feedback extremely useful for our continual development purposes. 

Recognition at the award ceremonies underpins MoveAssist’s position as a leading innovator and featuring at events like the Bitesize Briefing allows us to share this knowledge with our Global Mobility colleagues. We’d like to thank FEM, Re:locate and Expat Academy for organising a selection of great events and look forward to the upcoming calendar.
The mai Team

10 years on...

Remember this?

It’s the 10th Anniversary of the Re:locate awards and it’s hard for us here at MoveAssist to believe that ReloAssist won the first ever Technological Innovation award back in 2007!

MoveAssist will be attending the event on Thursday 11th May at the Science Museum in London, and it promises to be an excellent evening.

Hoping to follow in ReloAssist’s footsteps, MAIA, Global Mobility’s first chatbot, has been shortlisted in this year’s Technological Innovation category.

If you’d like to read more about MAIA, then please click here.

We look forward to seeing you on Thursday 11th May!

The mai Team

3 Ways Machine Learning could optimise Global Mobility

Whilst on holiday last weekend, I relied exclusively on the knowledge of machines and people that I’d never met to make decisions on where I should eat and drink. Google Maps’ relatively new feature suggests top-rated places dependent on the time of day. So, at 1pm when I’m looking for somewhere to eat lunch, inexpensively and in the immediate vicinity, I am presented with a list of suitable eateries; all I have to do is select one. Google Maps then helpfully highlights this on my map for future reference and provides me with directions. Smart, useful and made possible with the power of Machine Learning.

So what is Machine Learning?

Machine learning (ML) - the ability for a machine to learn without explicit programming - is a long established concept that is seeing a surge in popularity and sophistication thanks to the development of new technologies (Forbes, 2016). Back in the 90s Amazon pioneered the ‘recommended for you’ feature and since then the ability to deliver key information at exactly the right moment has become extremely effective in providing better experiences and responses. ML, like in the examples above, could eventually help Global Mobility functions deliver more personalised experiences to those employees being selected for, or that are currently on, assignment.

3 future uses for ML in Global Mobility:

1. Identifying prospective assignees with similar attributes

Global Mobility software that communicates effectively with HR software could be key to supplying recommendations to the Global Mobility team. A comprehensive employee history could enable an intelligent system to suggest employees for assignment by comparing their data to existing and successful assignees or comparing a new opportunity with a former project and making candidate suggestions based on past successes.

For example, ML could identify candidate with the correct skills and documentation requirements. This could be particularly useful for organisations with Short Term Business Travellers or Commuter assignments where time is of the essence. Reducing the number of manual tasks for a Global Mobility team could alleviate pressure in these time bound situations and ensure that an employee is already fully compliant.

A significant advantage of ML is that these decisions are based on factual information rather than personal opinion. Without emotional involvement, machines and software can objectively view the suitability of each candidate without personal bias or preference. Although it makes sense for a human to make the ultimate decision, ML could help eliminate candidates that are immediately unsuitable, leaving the decision-maker with a list of only qualified candidates.

2. Recommendations from other employees who have been on a similar assignment (ratings etc.)

Like my experience with Google Maps at the weekend, providing information at the exact moment it’s needed could help Global Mobility teams deliver better experiences for employees on assignment. Collating relevant reviews and useful information from current and previous assignees on-demand could make the entire relocation process much easier. For example, ML could come to understand at which point in the process particular documentation is required and then provide an employee with the document in question, useful insights into how it should be completed and who it should be sent to.

3. Intelligent defaults

The auto-complete functionality that my devices use for addresses and payment details makes my online shopping experience much more efficient. In the future, the same could be said for Global Mobility technology. With a system that could identify patterns in behaviour, similar intelligent defaults could make putting a new case together much easier. Perhaps your organisation regularly sends employees to the same host location on the same policy type? A system which can auto-populate other fields based on this information could mean a case can be built in seconds.

In addition, intelligent defaults could help gather data in a meaningful and immediate way, which could help Global Mobility teams assess the productivity of an assignment and provide strategic business insights. Speedy access to easily digestible data could provide quantifiable and valid reports at board level, justifying costs and resources. Eventually ML could assist with demonstrating a clearer ROI by automatically interpreting this data into an easy-to-read format based on the most requested parameters, enabling teams to take corrective action or build on past successes.

There is no doubt that ML can be harnessed by the Global Mobility industry in a multitude of helpful and efficient ways. However, ML requires detailed data to perform effectively and, as we would expect, this data is often personal. Therefore, the product of the data privacy intrusion must be transparent and worth the sacrifice (Deloitte, 2017). Yet, if this exchange is fair and enhances our experiences we will (almost certainly) be willing to do so - exactly like I was happy to provide my location to Google.

Here are just three ways that ML could impact Global Mobility; how could it assist your team?

MAIA, the Global Mobility chatbot, now shortlisted for the Re:locate Awards!

MAIA, the Global Mobility chatbot, now shortlisted for the Re:locate Awards!

MoveAssist are delighted that MAIA, the first intelligent chatbot for Global Mobility teams, has been shortlisted for the Re:locate awards in the Technological Innovation category!

The winners will be announced on Thursday 11th May at the 10th Anniversary Gala Awards Dinner which will be held at The Science Museum in London.

To find out  more about the awards or to book your table, visit the Re:locate website.

To read about MAIA, Global Mobility’s first chatbot click here. You can contact us via the website or for a demonstration.

MoveAssist look forward the 11th May and would like to wish all those shortlisted the best of luck.

The mai Team
For the latest Re:locate Award news follow: #relocatemag #relocateawards