About D.Lab Experts

AI implementation.
With method and proof.

D.Lab Experts is an AI implementation agency and consultancy. We put AI and agents to work inside the operation of small and mid-sized businesses — starting with a diagnosis that proves where it pays off and measuring the result before and after.

$ 4.4T

AI & data market through 2030 (IDC)

73%

of SMBs decide without data (SEBRAE, 2023)

23×

More likely to acquire customers, data-driven companies (McKinsey)

Custom-built

Built for your operation, not a generic product

D.Lab Experts was born from a documented premise. According to SEBRAE (2023), 73% of SMB managers make critical decisions by intuition. At the same time, LLMs and agents already do the repetitive work — but most companies do not know where to start. We exist to solve exactly that.

We implement AI inside the operation: support agents, sales automation, back office, document reading, and data-driven decisions. Data-driven companies are 23× more likely to acquire customers (McKinsey Global Institute) — and AI shortened the path to get there.

Generic AI does not change results. What changes them is AI coupled to your process and with impact measured before and after. D.Lab Experts, 2026

We start small and prove first. Diagnosis before automating. Custom-built implementation for your operation, with the result measured in numbers. No blank check and no black box.

What we do

Where we implement AI

AI and agents coupled to the processes that already exist in your operation — from support to finance. Each front starts with a diagnosis and ends with measured impact.

Not generic AI: we build the agents and automations inside your process, connected to your tools. These are the fronts where AI tends to return the most in small and mid-sized businesses:

24/7 support

an agent that answers and triages demand

Sales

automated lead qualification and follow-up

Operations

automation of repetitive tasks and reports

Finance

reading and reconciliation of documents and invoices

Data & decisions

on-demand dashboards and analyses

AI diagnosis

where it is worth automating first

Methodology

How we operate

One protocol, four steps, from question to delivery. Four pillars run through every step. None is negotiable.

Briefing

We frame the context, the hypothesis, and the decision criteria, or the risk perimeter to map.

Collection & Modeling

We cross multiple data sources, public and primary, with documented instrumentation so the finding is reproducible.

Synthesis

Raw data converted into structured insight with scores, classifications, and visualizations.

Delivery

A full report with a clear recommendation, a prioritized action plan, and an interpretation call.

Methodological rigor

Every analysis with documented, replicable, transparent methodology.

Primary data

Our own collection when open sources are not enough for the decision.

Exposed reasoning

You see exactly how we reached the recommendation or the diagnosis.

Independence

No bias. We report what the data shows, not what the thesis would like.

The landscape demands action. 29% of new businesses close in the first year and 50% before the fifth. The main cause is not a lack of capital. It is a lack of information to decide.

Companies that adopt a data-driven culture see 5 to 8% more productivity and 6% more profitability than their peers. Harvard Business Review

On the positive side, the numbers show opportunity. The Business Intelligence market is expected to reach US$ 33 billion by 2027 (Mordor Intelligence). Those who move with a solid read of the context capture compounding advantage over those who wait for the competitor to go first.

D.Lab Experts exists to close that gap. AI implemented where it truly returns. Custom-built for your operation. With impact measured before and after, not a percentage promised blindly.