WorkCase Study · AI Implementation

AI from day one. Not as an afterthought.

Bluesite, Colombia's leading cloud-based psychometric testing company, had already shipped two versions of a product its clients didn't enjoy using. Molt rebuilt the platform from evidence and embedded AI into the workflow. The result: a competency assessment now takes up to 35% less time to build, and Bluesite is closing deals outside Colombia.

Client
Bluesite
Industry
Psychometric SaaS
Region
Colombia · LATAM
Company size
Mid-sized
Services
Research · Design · Dev · AI
Time-to-value
9-mo MVP · 3.5y
TL;DR

The essentials

  • Building a competency assessment takes 20–35% less time thanks to AI suggestions inside the creation flow.
  • Reports are 15–25% easier to interpret for the end user, thanks to a redesigned information layout.
  • Data processing and cross-company language homologation dropped by 10–20%, accelerating B2B operations.
  • Redesigned MVP shipped to production in 9 months (Jul 2022 – Apr 2023), followed by 25 months of continuous AI-powered iteration.
  • Bluesite closed new business outside Colombia and grew its client base with AI-powered modules.
The challenge

Two product iterations that failed to win users over

Bluesite sells a critical product: BETESA psychometric and competency assessments that companies rely on to make talent decisions. The content was solid, but the platform delivering it (already on its second iteration) had a confusing interface, a frustrating end-user experience, and usability issues that carried over from release to release.

Bluesite's team came to Molt not for an agency to execute a brief, but for a strategic partner to transform the product at the root. The pressure was twofold: they needed a new platform without disrupting clients still working on the previous version, so for the first stretch of the project, the old platform stayed accessible through a sidebar redirect.

Why Molt

Real partnership, not deliver-and-leave

Bluesite didn't need yet another vendor to ship a rushed third version. They needed a team willing to first understand why the previous two iterations hadn't landed, and willing to stay and iterate until the product actually worked.

That's exactly what defines Molt's model: the 80/20 rule (80% of success comes from understanding the problem correctly, only 20% is technology) and the Delta Loop methodology, combining fast cycles with AI and low-code to deliver up to 4× faster than traditional models, without creating tech dependency. The proof is in the duration: 3.5 years of continuous partnership.

The solution

Research, redesign and continuous AI-powered evolution

Molt started with research on v1 (user interviews, usage analysis and pain-point mapping) to separate what worked from what had to go. That input drove the design team, which built a new look for the platform on top of Bluesite's existing brand identity and color palette. Only then did development begin.

The project's flow stayed simple and disciplined: research → evidence-based design → development → production → continuous iteration. Once live, the next 25 months went into evolving the product: new modules, upgraded reporting with individual and group metrics, an inventory management system that gave Bluesite real control over how it monetizes each client, and AI embedded into core processes. The project didn't end on a deliverable; it ended when the product could sustain business growth.

Implementation & early wins

9 months to MVP, 25 more to iterate

Phase 1 · Jul 2022 – Apr 2023
Research + design + MVP
9 months from discovery to production, with the old platform kept accessible in parallel so existing clients were never disrupted.
Phase 2 · Dec 2023 – Jan 2026
Continuous iteration + AI
25 months evolving reports, inventory, monetization and AI modules. Bluesite started closing deals outside Colombia in this stretch.
Early signals
The reports sold themselves
End clients quickly singled out the reports and the ability to see individual and group metrics, the features they valued most.
Results

Three measurable savings + a business that grows

The results show up across the three fronts that matter in a B2B SaaS. For Bluesite's team, building a competency assessment takes 20–35% less time thanks to AI suggestions embedded in the flow. For their enterprise clients, data processing and cross-company language homologation dropped by 10–20%. And for the end user actually taking the assessment, reports are 15–25% easier to interpret.

The commercial change follows these numbers. Inventory management and per-case adjustable monetization gave Bluesite real control over how each client is billed. AI-powered modules unlocked expansion outside Colombia and client-base growth. The product went from holding the business back to opening it up.

20–35%
Less time to build a competency assessment thanks to AI suggestions in the flow
15–25%
Easier for end users to interpret results, thanks to the new report layout
10–20%
Less time on data processing and cross-company language homologation
Key outcomesBeforeAfter
Time to build a competency assessmentBaseline (manual creation)20–35% less time with AI suggestions
End-user report comprehensionReports hard to interpret15–25% easier with the new information layout
Data processing & cross-company homologationBaseline (manual process)10–20% less time
Monetization modelLimited control over per-client pricingInventory management + per-case adjustable pricing
Commercial reachFocused on ColombiaNew deals closed abroad, client growth enabled by AI
What's next

A product that keeps growing

With a consolidated product, AI modules in production and new markets opened, Bluesite has the foundation to keep expanding its talent offering, without depending on Molt for day-to-day operations. The partnership did what it set out to do: leave the client stronger, not tethered.

FAQ

Frequently asked questions

How much time does AI save in this product?
Three measurable improvements: building a competency assessment takes 20–35% less time thanks to AI suggestions in the flow; data processing and cross-company homologation dropped 10–20%; and reports are 15–25% easier to interpret. Three savings that compound on every assessment delivered.
How long does Molt take to ship a product to production?
Bluesite's MVP (research, design and development) went live in 9 months (Jul 2022 – Apr 2023), followed by 25 months of continuous AI-powered iteration. Speed comes from the Delta Loop methodology combined with AI and low-code: up to 4× faster than traditional models.
How do I know the output will be actionable, not just a polished report?
Molt delivers products in production with measurable metrics, not reports. At Bluesite, initial research fed directly into design, then into development. The 80/20 rule (80% understanding the problem, 20% technology) is what makes each release cut real time.
Am I locked in with Molt after the project?
No. Molt's model is built so the client leaves with their own capability. Bluesite chose to continue the partnership for 3.5 years because each phase delivered concrete growth (new modules, expansion, AI), not dependency.
Does this work if I already have a product in production I don't want to break?
Yes, that's exactly Bluesite's situation. While Molt built the new platform, the previous version stayed accessible through a sidebar redirect. The transition was gradual, with no service disruption for existing clients.

Have a product that needs to be transformed at the root?

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