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Nexora Group

Strategy · Technology · Growth

We transform companies that are ready to move forward.

We align strategy, processes and technology to turn complex organisations into simpler, more efficient, more scalable operations.

Transformation dashboard Client · Manufacturing · Jan – Dec

Operating capacity available

Without intervention With the transformation
Automated 68 %
Assisted 22 %
Manual 10 %
Order cycle 4.2 d -46 %
Rework 1.8 % -62 %
Adoption 93 % +28 pts
Cost per unit L 214 -19 %
24 Transformations delivered
11 Industries served
2016 Operating since

Teams that back better decisions.

Fictional brands created for this demonstration.

01Results

What changes when the operation stops improvising.

Averages across projects closed in the last three years, measured twelve months after implementation.

+38%

Operating efficiency

-52%

Manual processes

+24

Transformations delivered

98%

Projects delivered to plan

02Services

Six fronts, one aim: an operation that holds itself up.

We do not hand over a diagnosis and leave. Each front ends when the client's team can run it without us.

Business strategy

Where the company competes, on what margin and against whom. We leave with three prioritised decisions, not a hundred-page plan.

  • Competitive diagnosis
  • Business model
  • 18-month plan

Digital transformation

The system the operation needs, chosen for what it solves rather than for its badge.

  • Architecture
  • Selection
  • Adoption

Process optimisation

We map the real process — not the documented one — and cut the steps nobody will defend.

  • Value stream map
  • Reshaping
  • Standardisation

Data analysis

One dashboard per committee, carrying the five figures that govern that table's decision.

  • Data model
  • Indicators
  • Dashboards

Technology implementation

We see the launch through: migration, integration and the first quarter of running it.

  • Migration
  • Integration
  • Support

Executive advisory

An outside seat on the board. We prepare the decision, argue the risk and follow up on what was agreed.

  • Monthly committee
  • Decision preparation
  • Follow-up on agreements

03Method

From complex processes to a clear operation.

The change does not happen on the day of the final presentation. It happens across the eight weeks in which the team starts working differently.

What we find on day one

Before

  • Manual processes
  • Scattered data
  • No visibility
  • Operational delays

Transformation

  1. W 1–2

    Diagnosis

    Interviews, observation on the floor, and a reading of the real numbers.

  2. W 3–4

    Reshaping

    The target process, agreed with the people who will run it.

  3. W 5–6

    Implementation

    Systems, rules and owners. It runs in parallel.

  4. W 7–8

    Handover

    The internal team takes the controls; we measure and leave.

What is left in place

After

  • Automated processes
  • Information in one place
  • Real-time indicators
  • Faster decisions

04Cases

Three operations, three different problems.

Fictional cases built for this demonstration from projects of this kind.

01

Manufacturing

Packing plant · 340 people

-46% Order cycle

Problem

Every order went through four spreadsheets and two people who reconciled them from memory. The order cycle took 7.8 days and nobody knew where it stalled.

Procedure

We mapped the real flow, removed eleven double-entry steps and connected production to the order system. One record, one owner per stage.

Result

Order cycle from 7.8 to 4.2 days, rework from 4.7 % to 1.8 %.

02

Financial services

Regional lender · 12 branches

-78% Approval time

Problem

Credit approval depended on each branch's judgement. The portfolios were not comparable and the committee decided on information two weeks old.

Procedure

We standardised the file, defined a common risk model and built the dashboard the committee reviews every Monday with the previous close's data.

Result

Approval time from 9 days to 2, and early arrears down by a third.

03

Education

Private institution · 4,200 students

+22 pts Conversion to enrolment

Problem

Admissions, enrolment and billing lived in three systems that did not talk to each other. Every cycle lost applicants somewhere between interest and enrolment.

Procedure

We unified the applicant's file end to end and automated the follow-up on those left halfway through.

Result

Applicant-to-enrolled conversion from 41 % to 63 %.

Companies do not need more complexity. They need better systems.

A 45-minute conversation is enough to tell whether there is a problem worth solving. If there is not, we say so.

What do you want to solve?

Demonstration form: it sends nothing to a server and stores nothing you type.

Project by CoreStruct

Would you like an experience like this for your company?

This is a demonstration of the digital experiences we design and build. The same quality adapts to a consultancy, an engineering practice or a professional services firm — or to any other industry.

The brand, figures, testimonials and prices are fictional and exist only for this demonstration.