Enterprise AI · PLM · Salesforce

Turn enterprise AI into measurable business value.

Curiosbot helps ambitious organizations move from AI ambition to scalable adoption — combining executive advisory, enterprise transformation and specialized expertise across PLM and Salesforce.

Senior-led · Independent · Based in Zaragoza, Spain

  • Executive-level advisory
  • Enterprise architecture
  • AI value realization
  • PLM transformation
  • Salesforce enablement
  • European delivery

Business outcomes

Outcomes leaders can put their name to.

We start from the result the business needs and work back to the technology, the data and the operating model that will deliver it.

  1. Faster AI adoption

    Move validated use cases into everyday work instead of leaving them in pilot.

  2. Clearer investment priorities

    Fund the initiatives with the strongest value, feasibility and risk profile.

  3. Connected enterprise processes

    Remove the manual bridges between PLM, ERP, CRM and content systems.

  4. Improved product-data flow

    Give engineering, supply chain, marketing and regulatory teams the same record.

  5. Scalable customer operations

    Run sales, service and marketing on a simplified, well-governed Salesforce estate.

  6. Stronger transformation governance

    Keep scope, risk and benefits visible to the people accountable for them.

Capabilities

Six ways we help you move from intent to impact.

Each capability can be engaged on its own or combined into a single transformation programme.

AI Strategy and Adoption

Prioritized AI portfolios that reach production and stay governed.

The business challenge

Pilots multiply, but few reach production. Investment is spread across tools and teams with no shared view of value, risk or readiness.

Our approach

We identify use cases against business objectives, score them for value, feasibility and risk, then build a sequenced portfolio with the data, architecture and governance needed to scale it.

Typical outcomes

  • A ranked AI portfolio tied to business objectives
  • Business cases the CFO can challenge and fund
  • Responsible-AI guardrails that teams can actually apply

Engagement formats

  • AI opportunity assessment
  • Portfolio and business-case sprint
  • Adoption programme assurance
Explore AI Strategy and Adoption

PLM Transformation

One trusted product record across engineering, operations and commercial teams.

The business challenge

Product data is fragmented across PLM, ERP, DAM and regulatory or review systems. Teams reconcile it by hand and change cycles slow down.

Our approach

We define the product-data model, ownership and processes first, evaluate platforms against them, and design the integrations that keep information flowing downstream.

Typical outcomes

  • Clear ownership and governance of product data
  • Platform choice grounded in your processes
  • Connected flows between PLM, ERP, DAM and MLR

Engagement formats

  • PLM strategy and platform evaluation
  • Data-governance design
  • Implementation assurance
Explore PLM Transformation

Salesforce Transformation

Customer operations redesigned around outcomes, not around configuration.

The business challenge

Salesforce has accreted years of customization. Adoption is uneven, reporting is contested and every change request feels risky.

Our approach

We assess business capabilities first, then redesign processes, simplify the architecture and set governance that keeps delivery predictable.

Typical outcomes

  • A CRM roadmap linked to commercial priorities
  • Simpler architecture with a lower cost of change
  • Measured adoption and data quality

Engagement formats

  • Capability assessment
  • Architecture and integration design
  • Delivery governance
Explore Salesforce Transformation

Digital Operating Model

Roles, decisions and funding models that let new capability last.

The business challenge

Technology is introduced faster than ways of working change. Ownership is unclear and benefits fade once the project team leaves.

Our approach

We design product-and-platform ownership, decision rights, funding mechanisms and the skills needed to run what you build.

Typical outcomes

  • Clear accountable owners
  • Decision rights that remove hand-offs
  • A realistic capability-building plan

Engagement formats

  • Operating-model design workshop
  • Governance set-up
  • Transformation office support
Explore Digital Operating Model

Enterprise Integration and Automation

Systems and processes connected through well-governed interfaces.

The business challenge

Point-to-point connections and spreadsheet hand-offs create delays, duplicate data and audit risk across enterprise systems.

Our approach

We map the value streams, choose the integration pattern that fits each one, and automate the repetitive steps with observable, maintainable flows.

Typical outcomes

  • Fewer manual hand-offs
  • Traceable data lineage
  • Automation that operations teams can maintain

Engagement formats

  • Integration architecture review
  • Automation pilot
  • Build-and-handover support
Discuss this with us

Executive Advisory

A senior sounding board for CXOs facing consequential technology decisions.

The business challenge

Leaders must decide on platforms, partners and investment envelopes with incomplete information and competing internal narratives.

Our approach

We provide independent, evidence-based counsel: framing options, testing assumptions and preparing decisions for boards and steering committees.

Typical outcomes

  • Decisions framed with explicit trade-offs
  • Credible material for boards and investors
  • Less vendor-driven bias

Engagement formats

  • Advisory retainer
  • Steering-committee support
  • Independent programme review
Discuss this with us

Outcomes describe the types of result our work is designed to support. We do not promise specific percentages or financial returns.

Service explorer

Find your starting point in four questions.

Answer in under a minute. The recommendation is generated in your browser — nothing you select is sent or stored.

  1. Question 1
  2. Question 2
  3. Question 3
  4. Question 4

What are you trying to improve?
What stage is your organization at?
Which enterprise environment is most relevant?
What is the likely engagement scope?

Products and accelerators

Accelerators built from real transformation work.

Curiosbot is developing focused products and accelerators that make the hardest parts of AI, PLM and Salesforce programmes repeatable. Each carries a plain status so you know exactly what stage it is at.

In design

AI Value Navigator

A structured workspace for scoring, ranking and tracking enterprise AI use cases.

Discuss early access
Prototype

CRM Clarity Review

A repeatable assessment toolkit for understanding how a Salesforce estate is really used.

Request a walkthrough

See all products

Product names, scope and status are working entries that may change. They do not describe live customer deployments.

Delivery approach

Four stages. One continuous line of accountability.

Stages overlap by design: what we learn while building changes what we prioritize, and what we govern feeds back into discovery.

  1. 01

    Discover

    Understand objectives, constraints, data and current processes. Agree what success would look like.

  2. 02

    Prioritize

    Score options for value, feasibility and risk. Choose a sequence you can fund and staff.

  3. 03

    Build and integrate

    Prototype quickly, then engineer and connect the solution to the systems that matter.

  4. 04

    Scale and govern

    Embed ownership, measurement and controls so results persist beyond the project team.

Insights

Practical thinking for people accountable for results.

All insights
PLMGovernance 6 min read

Connecting PLM, DAM and MLR processes

How product data, digital assets and regulatory review can share one governed flow instead of three disconnected ones.

Let’s make your next AI decision a well-founded one.

A first conversation is a working session, not a sales pitch. Bring the ambition and the constraints; we will help you shape the sequence.