Friction map
We detect tasks, bottlenecks and decisions where AI can assist without hurting commercial quality.
We map friction, design useful automations and leave a working layer the team can use with judgement and control.
Clear workflows for repetitive tasks.
Prompts, assistants and automations documented.
Usage rules that protect quality and context.
AI only matters when it improves the real commercial system.
Many teams test AI tools without a clear reading of the commercial process they want to improve. The result is usually dispersion, mediocre output and low real adoption.
The key is to decide where to automate, where to assist and where human judgement must stay in control.
We apply AI to specific points in the process to save time, improve context and increase consistency.
We detect tasks, bottlenecks and decisions where AI can assist without hurting commercial quality.
We design prompts, automations and micro-assistants for research, enrichment, personalisation or follow-up.
We define rules, ownership and usage criteria so the team can use the new layer without chaotic dependency.
What gets automated, what gets assisted and what stays under human judgement.
A reusable base for research, preparation and commercial output.
Flows connected to the tools and steps already in place.
Best practices, risks and a way to protect quality over time.
We understand which parts of the process consume time and where AI can genuinely help.
We define inputs, prompts, validations and useful outputs for each case.
We connect the new layer to the team's real routine, not to an isolated lab.
We leave a playbook, limits and improvements to support adoption.
It makes sense when a basic sales process already exists and the goal is to make it more efficient and more consistent.
Share the process, stack and goals and we'll map where automation makes sense.
Share the context, the bottleneck and the next move you want to activate. We'll come back with a concrete approach.
We'll come back with a realistic proposal within 24 hours.