AI diagnostics and scoring: evaluate, score and recommend automatically
We build evaluation engines that collect answers or data, compute a score and generate recommendations and a personalized report for each person — with no one reviewing it by hand. The proof? The assessment on this very site works exactly like this.
An AI diagnostic is an evaluation and scoring engine: the user answers a questionnaire or provides data, the system computes a score based on a model we design with you, and the AI writes recommendations and a personalized report delivered instantly.
The demonstrable part is that the assessments on this very site (the ones at /diagnostico) are built with exactly this logic: smart questionnaire, scoring engine, AI report and automated delivery. That same pattern can be productized for your business — qualify leads, evaluate maturity or risk, recommend products or services — without starting from scratch.
Why iTechDev
Fixed budget
Scope and price defined before we start. No hourly billing, no ambiguous scope.
Code 100% yours
All code and configuration are your property from the first commit. No vendor lock-in.
Progress every 2 weeks
Live functional demos each sprint. You see real progress, not a months-long black box.
Engineering with process
CMMI Level 2, 5.0★ on Clutch and 200+ projects. Nearshore team in Monterrey + Texas, in your time zone (CST).
When you need it
What it includes
Scoring model design
We define with you the dimensions to evaluate, the weight of each question and the score ranges (levels). The criteria are explicit and auditable, not a "black box".
Data capture and questionnaire
A smart form or questionnaire with branching logic: the next questions depend on previous answers, so you don't over-ask and reach a precise diagnosis.
Branching logic
Rules that adapt the path and the calculation to the profile: different routes for different industries, sizes or maturity levels, without duplicating the questionnaire.
AI report generation
The AI turns the score and the answers into a readable report: diagnosis, strengths, gaps and prioritized recommendations, written for your business and your tone.
Automated delivery
Orchestration with n8n to deliver the report (PDF or email) instantly, notify your team and register the lead in your CRM or marketing tool.
Results dashboard
A view of completed evaluations, their scores and their segmentation, so sales and marketing act on data rather than intuition.
How we work
Define the model
We agree on what you want to evaluate and why (qualify, recommend, measure maturity/risk). We design the dimensions, the questions and the scoring formula.
Build the engine
We implement the questionnaire with its branching logic, the score calculation and the AI report generation, connected to your identity and tone.
Automate delivery
We connect the report delivery, the internal notifications and the integration with your CRM or marketing via n8n, so the whole flow is automatic. Deliverable: a working delivery and notification flow wired to your real tools.
Launch and handover
We publish the engine on your site or app, validate the full end-to-end journey (questionnaire → score → report → CRM) and hand over the code and the scoring configuration. Deliverable: the engine in production and code that is 100% yours, editable by your team, with no vendor lock-in.
Measure and tune
With the first results we review the scoring weights and the recommendation copy, until the diagnostic reflects your business criteria well. Deliverable: a calibrated scoring model and recommendations tuned with real data.
Tech stack
The tools and platforms we build it with — chosen for your problem, not for hype.
Frequently asked questions
Do you have real proof this works?
Yes, and you can use it right now: the diagnostics on this very site (at /diagnostico) are exactly this kind of engine — questionnaire, score calculation, AI report and automated delivery. It is not a simulated demo: it is the same pattern we productize for your business.
What use cases does an AI scoring engine fit?
The most common: lead scoring (qualify and prioritize prospects), maturity or risk assessments, product or plan recommenders, and questionnaires or audits that are scored by hand today. If your process collects answers or data and ends in a score and a recommendation, it fits.
Is the score a "black box" or do I understand how it is calculated?
We design it to be explicit and auditable: you decide the dimensions, the weights and the ranges. The AI is used to write the recommendations and the report in natural language, not to invent the score. You can always see and adjust the logic behind each result.
How does the report reach the user and my team?
It is generated instantly when the evaluation ends and delivered as a PDF or by email. In parallel, with n8n we notify your team and register the lead with its score in your CRM or marketing tool, so commercial follow-up starts with no manual steps.
Does it integrate with my CRM and current tools?
Yes. Orchestration with n8n lets us connect the engine to the CRM, email marketing and other tools you already use, so every evaluation feeds your existing sales process instead of creating a separate silo.
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