A CRM nobody maintains.
Without reliable data the forecast is an opinion and the follow-up gets lost.
AI by process · Sales and marketing
A salesperson sells or fills in the CRM, not both. We automate the recording, qualify the leads with business criteria and assemble the proposal from your real templates.
Without reliable data the forecast is an opinion and the follow-up gets lost.
The team chases everything equally. The good one goes cold while someone who will not buy gets attention.
Every offer is assembled from scratch by copying the last one.
Qualification is the first thing you notice: the salesperson spends the time on whoever can actually buy.
Scoring on the signals that genuinely predict a close in your business, not a generic template.
Emails, calls and meetings recorded without anyone typing. The data exists because the work happened.
From your real templates and prices. The salesperson reviews and signs, does not write.
Assisted production for the website, blog and campaigns, with editorial judgement and human review.
No published case of our own in sales yet. The transfer is twofold: Buscafact qualifies public procurement opportunities against a company profile — which is exactly qualifying a lead on business criteria — and Squlp generates structured documentation from templates and data. A commercial proposal is a document with client data and reusable blocks, not a work of art.
The lead is scored against what actually predicts closing in your company — sector, size, urgency — not against a generic CRM template.
Sales calls the ones who will buy first.
Email, call and meeting are logged without anyone typing. Sales sells and the record exists anyway.
Ends the CRM nobody maintains.
The offer is assembled from your blocks, your prices and the client data already gathered. It is out in hours and a person signs it.
Proposal lead time stops losing deals.
It starts from what you have already written and from your technical judgement. If you have nothing to say on a topic, it does not get published.
Avoids the generic content that never ranks.
Where do you start implementing AI? Most people answer with a hunch. But deciding where AI goes is a quantifiable problem: it has variables, formulas and a rankable result. This article is that model, with a case worked through step by step.
RPA follows the rules you gave it; an AI agent decides how to meet an objective within a bounded perimeter. They are not rivals: they are different layers. We explain when each is enough and how much they cost to maintain.
Not sure where to start? Measure your organisation’s AI maturity for free in 3 minutes, or book 30 minutes of direct diagnostic.
Tell us what costs more than it should. We come back with a concrete plan, realistic timelines and a clear yes or no.
contacto@plantekia.com