2015 ESOS Guidelines Chapter 6 – Role of Lead Assessor

The primary role of the lead assessor is to make sure the enterprise?s assessment meets ESOS requirements. Their contribution is mandatory, with the only exception being where 100% of energy consumption received attention in an ISO 50001 that forms the basis of the ESOS report.

How to Find a Lead Assessor

An enterprise subject to ESOS must negotiate with a lead assessor with the necessary specialisms from one of the panels approved by the UK government. This can be a person within the organisation or an third party. If independent, then only one director of the enterprise need countersign the assessment report. If an employee, then two signatures are necessary. Before reaching a decision, consider

Whether the person has auditing experience in the sector
Whether they are familiar with the technology and the processes
Whether they have experience of auditing against a standard

The choice rests on the enterprise itself. The lead assessor performs the appointed role.

The Lead Assessor?s Role

The Lead Assessor?s main job is reviewing an ESOS assessment prepared by others against the standard, and deciding whether it meets the requirements. They may also contribute towards it. Typically their role includes:

Checking the calculation for total energy consumption across the entire enterprise
Reviewing the process whereby the 90% areas of significant consumption were identified
Confirming that certifications are in place for all alternate routes to compliance chosen
Checking that the audit reports meet the minimum criteria laid down by the ESOS system

Note: A lead assessor may partly prepare the assessment themselves, or simply verify that others did it correctly.

In the former instance a lead assessor might

Determine energy use profiles
Identify savings opportunities
Calculate savings measures
Present audit findings
Determine future methodology
Define sampling methods
Develop audit timetables
Establish site visit programs
Assemble ESOS information pack

Core Enterprise Responsibilities

The enterprise cannot absolve itself from responsibility for good governance. Accordingly, it remains liable for

Ensuring compliance with ESOS requirements
Selecting and appointing the lead assessor
Drawing attention to previous audit work
Agreeing with what the lead assessor does
Requesting directors to sign the assessment

The Environment Agency does not provide assessment templates as it believes this reduces the administrative burden on the enterprises it serves.

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Introduction to Matrix Management

A leader is responsible to empower his people and get the best out of them. Yet an organisational structure can either help or hamper performance. Worst, it can make or break success.

Looking at the fast-changing world of the global economy, whatsoever slows up and obstructs decision-making is a challenge. Hierarchical management is rather unattractive and functional silos are unlikable. Instead, employees desire to create teams equipped with flexibility, cooperation and coordination.

Recognising that companies have both vertical and horizontal chains of command, the matrix model is created. The concept of this principle lies in the ability to manage the collaboration of people across various functions and achieve strategic objectives through key projects.

Consider this scenario:

Ian is a sales executive of a company. His role is to sell a new product under the supervision of a product manager. The manager is expert about the product and she is accountable to coordinate the people across the organisation, making sure the product is achieved.

Moreover, Ian also reports to the sales manager who oversees his overall performance, monitors his pay and benefits and guides his personal development.

Complicated it may seem but this set-up is common to companies that seek to maximise the effect of expert product managers, without compromising the function of the staffing overhead in control of the organisation. This is a successful approach to management known as Matrix Management.

Matrix Management Defined

Matrix management is a type of organisational management wherein employees of similar skills are shared for work assignments. Simply stated, it is a structure in which the workforce reports to multiple managers of different roles.

For example, a team of engineers work under the supervision of their department head, which is the engineering manager. However, the same people from the engineering department may be assigned to other projects where they report to the project manager. Thus, while working on a designated project, each engineer has to work under various managers to accomplish the job.

Historical Background

Although some critics say that matrix management was first adopted in the Second World War, its origins can be traced more reliably to the US space programme of the 1960’s when President Kennedy has drawn his vision of putting a man on the moon. In order to accomplish the objective, NASA revolutionised its approach on the project leading to the consequent birth of ?matrix organisation?. This strategic method facilitated the energy, creativity and decision-making to triumph the grand vision.

In the 1970’s, matrix organisation received huge attention as the only new form of organisation in the twentieth century. In fact it was applied by Digital Equipment, Xerox, and Citibank. Despite its initial success, the enthusiasm of corporations with regards to matrix organisation declined in the 1980’s, largely because it was complex.

Furthermore, the drive for motivating people to work creatively and flexibly has only strengthened. And by the 1990’s, the evolution of matrix management geared towards creation and empowerment of virtual teams that focused on customer service and speedy delivery.

Although all forms of matrix has loopholes and flaws, research says that until today, matrix management is still the leading approach used by companies to achieve organisational goals.

How Bouygues manages an Empire-Sized Footprint

Bouygues is into telecoms / media, and building and road construction. It also knows it has to watch its energy footprint closely. Owning 47% of energy giant Alstom keeps it constantly in the media spotlight. Shall we find out more about its facility management policies?

The journal Premises and Facilities Management interviewed MD Martin Bouygues on his personal opinions concerning managing energy consumption in facilities. He began by commenting that this was hardly a subject for the C-Suite in years gone by. Low-level clerks simply paid the bills following which the actual amounts were lost in the general expenses account. That of course has changed.

Early pressure came from soaring energy bills, which were pursued by a whole host of electricity-saving gadgets. However, it was only after the carbon crisis caught business by surprise that the link was forged to aerial pollution, and the social responsibilities of big business to help with the solution. The duty to have an energy strategy became an obligation eagerly policed by organisations such as Greenpeace.

Unsurprisingly, Martin Bouygues? advice begins with keeping energy consumption and its carbon footprint as high up on the agenda as health and safety. ?It needs bravery and a lot of hard work to get it there,? he says, ?so perseverance is the key?.

The company has developed proprietary software that enables it to pull data from remote sensors in more than 80 countries every fifteen minutes. A single large building can contribute 50 million data items annually making data big business in the system. Every building has an allocated energy performance contract against which results are reported monthly, as a basis for reviewing progress.

The system is intelligent and able to incorporate low-occupancy periods such as weekends and public holidays. What is measured gets managed. We all know that, but how many of us apply the principle to our energy bills. With assistance from ecoVaro, the possible becomes real.

We offer a similar service to the Bouygues model with one notable exception. You don’t buy the software and you only pay when you use it. Our systems are simply designed for busy financial managers.

How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day. Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans.

Are machines going to completely replace people in the workplace?

Of course, not. Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science, now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

Information Sharing
Real Time Updates
Automated Workflows
Digital Form Data Collection
Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

Heating & Plumbing Engineers
Electrical Contractors
Fire Safety Inspectors

HVAC Engineers
Facility Management
Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?