Plenty of opportunities.
Too little progress.
The pipeline is growing, but clear priorities and agreed next steps with customers are missing.
Modular AI Sales Academy
Your team.
A shared approach.
More value
in every sale.
Identify where to focus. Build the skills that matter. Bring tools and AI into everyday work, with a Sales Academy designed around your business needs.
Assessment · Training · Tools · Coaching
maisales / assessmentILLUSTRATIVE EXAMPLE
FROM DIAGNOSIS TO DEVELOPMENTThe value is there.
The value is there.
Let’s bring it out.
An overview of skills, linked to your sales priorities.
A QUESTION TO EXPLOREDoes the customer recognise the value before the conversation turns to price?
THE NEXT STEPPractise the value conversation
Real cases, practical tools and review with the manager.
Illustrative excerpt · Priorities are validated through interviews.
Services, manufacturing, distribution. In-house teams, sales agents or partners: the programme adapts to your sales environment.
DESIGNED FOR DIVERSE BUSINESSES AND SALES ORGANISATIONS
Sales leadershipHR & learning
The starting point
The numbers tell you how much.
Do you also know why?
There is a gap between knowing the approach and applying it every day. That is where we work.
Plenty of opportunities.
You explain the value.
The discount still follows.
Your team knows the product. Turning features into outcomes for the customer takes practice.
The training ends.
What changes on the job?
People need tools they can use and a manager who supports change in everyday practice.
01 / Understand first. Then design.
Two perspectives.
A more useful diagnosis.
The team’s responses meet management’s observations. This is where priorities begin to take shape.
QUANTITATIVE DATA
The team’s perspective
A questionnaire covering nine dimensions. Perceived skills, working practices and use of AI.
QUALITATIVE EVIDENCE
The business context
Interviews with leadership and HR. Priorities, observed behaviours and real constraints.
INTEGRATED MAISALES ANALYSISConnecting
Connecting
the evidence.
Through our AI-based intelligence system, we compare sources, explore discrepancies and validate priorities with you.
A plan.
With a clear rationale.
- Skills map
- Development priorities
- Programme and tools
- Indicators to track
Evidence from day-to-day work informs the programme over time.
The data-driven nervous system.An AI Sales Intelligence framework built with scientific rigour, turning sales assessment into a transformation journey that can be monitored through relevant KPIs.
02 / Inside the assessment
A snapshot
that helps you ask
better questions.
Each participant receives an indicative summary of their responses. Nine dimensions reveal strengths and areas to explore.
The organisational diagnosis comes next: aggregating the team’s responses and connecting them with interviews and other contextual data.
See how it becomes a plan ↓This summary is not an individual evaluation of the person. The example shown does not represent the team average in the report below.
QUESTIONNAIRE EXAMPLE
Advanced approach
Indicative summary of responses · 9 dimensions
Pipeline and prospecting2.67 · To strengthen
Understanding customer needs4.67 · Strong
Value and ROI3.67 · Strong
Insight and influence5.00 · Strong
Stakeholder management5.00 · Strong
Presenting and storytelling2.33 · To build
Negotiation and value defence2.33 · To build
Relationships and trust3.00 · To strengthen
AI in everyday sales4.00 · Strong
StrongTo strengthenTo build
Scale from 1 to 5. Fixed example based on the questionnaire feedback format.
maisales / executive reportEXAMPLE
Priorities become visible.
Example of a team priority map. Levels and observations are illustrative.
Meeting preparationTo explore
Communicating valuePriority
Follow-up disciplinePriority
Practical use of AITo develop
Priorities depend on business goals and the comparison of sources, as well as scores.
Understanding value
must become a conversation.
Cross-referencing the evidence to decide where to focus.
From the questionnairePerceived value
The team reports being familiar with the benefits of the offering.
From the interviewsPrice takes centre stage
Management observes concessions being made before exploring value for the customer.
01 / Proposed priority
Practise translating benefits into outcomes that matter to each stakeholder.
02 / Application and review
Negotiation practice, a preparation tool and a review of the arguments used in customer conversations.
Illustrative reconstruction of the report format. Example data and situations; no customer results are claimed.
Every priority.
A practical application.
Example programme to validate with the client.
Communicating value
Intervention: simulation and preparation framework.
Review: quality of the arguments used.
Inconsistent follow-up
Intervention: next-step checklist.
Review: agreed action, owner and date.
Unstructured AI use
Intervention: call preparation exercise.
Review: use and verification of outputs.
Illustrative programme. Modules and indicators are agreed after the diagnosis.
03 / Feedback that guides action
The report helps you
make decisions.
We make the connection clear between what emerges, what we propose and what we will observe together.
01
Evidence in context
We distinguish what the sources confirm from hypotheses still to be tested.
02
Priorities in order of relevance
We select interventions based on business needs and the ability to put them into practice.
03
A programme with review built in
Each priority connects to modules, tools and observable behaviours.
04 / TRY ONE OF THE 72 MAISALES TOOLS
How solid is
your forecast?
Three opportunities, five evidence checks. Adjust the scenario and see how the weighted pipeline value changes.
Forecast Review Lab
Aurora Cloud · Fictional case · 1 August – 30 September 2026
Choose an opportunity
€180,000Initial probability 75%
WEIGHTED VALUE OF THE THREE OPPORTUNITIES
€209,200
50.2% gap from nominal valueNominal value€420,000
Gap€210,800
Atlas · €135,000 weighted value
5 evidence checks · timing factor 1.00Keep commitments confirmed and the sponsor engaged.
Training model: amount × initial probability × evidence factor × timing factor. The weighted value is a scenario, not realised revenue or a statistically validated forecast. Inputs stay in your browser.
How the result is calculated
The evidence factor is 0.5 + 0.1 for each confirmed check. The timing factor is 1 with no risks, 0.70 with one risk and 0.40 with two. Risks are a missing next step or one before 1 August 2026, and a missing close date or one outside 1 August–30 September 2026. The five indicators and the dates are separate checks.
The same data. A review prepared with AI
Use only the scenario data saved by the tool. Check the calculations, flag missing information and prepare questions and actions for the next review. Distinguish data, interpretations and recommendations. Do not invent evidence.
Copy the full prompt with the current lab data, or save the scenario as JSON.
Read the full prompt
- Data. Nominal value €420,000. Weighted value €209,200.
- Interpretation. Nova and Vega need further investigation into evidence and timing.
- Actions. Agree the next step for Nova. Verify the sponsor and the out-of-period close date for Vega. Protect commitments on Atlas.
Static example: it does not change when you adjust the lab. No requests are sent to AI services.
05 / The programme takes shape
Learn.
Apply.
Keep improving.
An external Sales Academy with direction and ongoing support. Modules selected after the diagnosis, around your organisation’s needs.
01 / UNDERSTAND
Assessment
We gather evidence and define priorities with management.
02 / DESIGN
Tailored programme
We select modules, cases and tools relevant to your context.
03 / PRACTISE
Practical sessions
Essential concepts, exercises and guided simulations, online or in person.
04 / APPLY
Tools and AI
We bring what has been practised into everyday work through concrete assignments.
05 / EMBED
Coaching and review
We review practices with managers and update the programme.
Live online sessions of 90 minutes and in-person sessions, depending on the project. Content and tools are selected and developed within the agreed scope.
From application to measurement
What we observe,
together with you.
We define the starting point and available indicators. First we observe practices, then we interpret the results.
Tools in use
Meeting preparation, use of checklists and prompts, and frequency of reviews.
Behaviours on the job
Agreed next steps, quality of questions, value arguments and consistent follow-up.
Sales indicators
Conversion between stages, sales cycle length and margins, based on the agreed data and period.
The people behind the approach
Two areas of expertise.
One shared direction.
Learning design, sales experience and digital tools come together in one programme.
Joanna Albertin
Strategist & Lead Facilitator
Leads the Academy’s architecture, programme design, facilitation and sales coaching. Connects business objectives to learning sessions and day-to-day work.
Massimiliano Fiorelli
AI Enablement & Program Manager
Oversees assessment, practical tools and AI applications. Coordinates delivery and monitoring, turning the learning design into resources the team can use.
Before we talk
Practical
questions.
Who is MAISALES designed for?
Organisations that want to strengthen their sales approach and support its application. MAISALES adapts to any type of business — services, manufacturing, distribution and other sectors — and different sales structures: in-house teams, agent networks, direct sales or partners. The programme adapts to roles, maturity and priorities, from finding new opportunities to developing accounts.
What will I see in the demo?
We show you how the assessment works, the report format and selected tools using illustrative data. We start with your questions to understand where the approach could help. The call does not replace the full assessment.
What does the assessment include?
It combines questionnaires and management interviews, with additional materials and observations on the job where relevant. Integrated analysis leads to priorities and a proposed programme to validate together. The questionnaire summary is a starting point, not an individual evaluation.
How do you choose modules and formats?
After the diagnosis, based on the team’s gaps and constraints. We can combine 90-minute live online sessions, in-person sessions, tools, on-the-job exercises and coaching. Scope and schedule are agreed before the programme starts.
Do we need to be using AI already?
We start from your current adoption level and the tools available or approved by your company. We select practical use cases, such as preparing for a meeting or analysing review data. Participants also learn to check outputs and identify missing information.
How do you measure change?
We agree a baseline, an observation period and available indicators. We look at tool adoption, behaviours and sales KPIs. Results also depend on context: we do not promise automatic improvements or attribute every change to training.
How is the investment determined?
It depends on the participants, priorities, modules and level of customisation and support. The initial discussion helps define a meaningful scope, potentially in stages, before we prepare a proposal.
The next step
Let’s see it
in action.
A conversation about your context. A demonstration of the assessment, report and tools. To understand together where to start.
Leave your details and we will agree a date and time for the call by email.
Want to try the lab first? ↑