Success story · Imascono

Factoría Comercial

80%

reduction in hours per technical report

Case summary

Our own AI platform that industrialises the entire sales cycle: opportunity detection and preparation of personalised sales briefings.

The Sales Factory is our bet on industrialising the whole sales activity cycle through artificial intelligence. It's a proprietary platform that automates the preparation of sales materials to cut the time the team spends writing them. It detects opportunities, generates technical reports, and reviews all internal knowledge and sector trends to prepare conversations with clients. Turning an artisanal, scattered process into an industrial, traceable, scalable pipeline that multiplies sales capacity without growing the team.

Client

Imascono

Sector

Industry 5.0

Service

Automatización procesos · Agentes IA

80%

reduction in hours per technical report

company tender capacity

+200

active projects in every briefing

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01 The challenge

Industrialising an artisanal sales process.

In a technology company with more than 200 projects delivered, there are key sales processes that consume most of the team's time and limit its capacity to grow. Searching for opportunities, researching sectors, gathering trends, writing technical reports. On top of that, preparing sales conversations depends on the time available and the personal memory of each salesperson, leaving an enormous internal asset underused. The bottleneck wasn't the quality of the work, but its cost of entry.

02 The solution

A factory built on a connected AI platform.

The Sales Factory is structured as an artificial intelligence infrastructure that analyses opportunities with AI agents and generates complete technical reports through writing agents. It also integrates all internal assets —products, services, database and delivered projects— with the sector's major trends, and produces personalised sales guides for every client conversation. A pipeline that coordinates different processes under a single logic: industrialising critical knowledge and making it available in minutes.

Next step

We cut the hours spent on each opportunity by 80%. What could we achieve working with your company?

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Key learnings

What this case teaches the sector.

Corporate knowledge is only worth something if it's accessible

The assets a technology company accumulates —projects, products, cases, regulations, sector trends— only generate value if they're available at the exact moment they're needed. Industrialising access to them transforms sales activity: from depending on individual memory to operating on a single, up-to-date source.

Generative AI only works if the prior analysis is precise

The best results don't come from asking AI to write a proposal or a briefing, but from giving it structured context: quality criteria, prioritised sources, constraints and the right agent for each section. The differential value is in the interpretation pipeline, not in the language model.

What isn't measured can't be industrialised

Most companies don't know how much time they invest in their sales processes per opportunity, nor how many they lose for not arriving in time. Measuring the pipeline —from detection to close— is the first step to industrialising it, multiplying capacity without growing headcount.

La ventaja competitiva ya no es tener el conocimiento, es desplegarlo a tiempo.

En sectores industriales donde los concursos y licitaciones tienen ventanas de respuesta cada vez más cortas, la compañía que llega primero con una propuesta sólida gana, aunque no sea la única con la capacidad técnica para ejecutarla. Industrializar la preparación comercial no es solo una mejora operativa: es lo que permite multiplicar por cuatro la capacidad de concurso sin ampliar equipo, convirtiendo la velocidad de respuesta en la nueva variable competitiva del sector.

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