Make (it) in IT: How four Make customers use automation for smarter and faster development

The importance of IT operations in companies keeps growing year by year. According to the portal ITPRM.com, nine in ten businesses have undergone some sort of digital transformation in 2024. But this rapid evolution also means more work, more money, and more people involved in IT-related processes.

That’s why automation is the next logical step in a company’s technological evolution. No-code software like Make helps companies speed up many development processes and streamline simpler tasks while IT teams focus on complex operations. That means doing more with fewer resources.

In this article, we tell the story of the four companies that transformed their IT operations with Make.

Globant: Saving ~15 hours per week by automating complex workflows

Globant is a global tech company with 29,000 employees in 33 countries specializing in AI-driven digital transformation. It helps businesses in industries such as gaming, finance, and entertainment optimize operations and improve customer experiences.

The problem

As Globant expanded its AI services, a few challenges emerged:

• Needed to integrate their AI accelerators (a suite of prebuilt AI-powered tools and platforms) with clients' systems (CRMs, marketing, sales tools) without heavy custom development
• Sought a scalable way to connect AI with business workflows across multiple industries
• Wanted to empower non-technical teams to build and manage AI-driven processes easily

The solution

Globant teamed up with Make to help clients roll out AI solutions more easily across their existing tools and systems:

• Built and prototyped AI-powered workflows across marketing, sales, and development
• Made the fast integration of Globant’s AI accelerators possible without coding
• Gave non-technical users the ability to automate processes and validate use cases independently

The results

• ~15 hours saved per week through faster AI workflow deployment
• Expanded automation to multiple new markets (Spain, Italy, Germany)
• Up to 20% improvement in workflow efficiency and ROI

#makeitfuture: Tripling the AI-powered support  resolution rate

#makeitfuture is one of Europe’s leading automation companies that helps businesses reduce manual work and improve efficiency by building smart, automated workflows using tools like Make.

The problem

#makeitfuture client’s AI-driven customer support system was falling short:

• Despite uploading business data to OpenAI, the response accuracy was low
• Every update or strategy tweak required manual coding, slowing innovation
• They needed a faster, scalable way to test and refine AI responses

The solution

#makeitfuture used no-code automation to rebuild and optimize the AI system:

• Implemented data filtering to ensure only high-quality inputs reached the AI
• Automated AI response ranking to select the most accurate answer consistently
• Used Make’s no-code tools to quickly experiment and iterate on AI strategies

The results

• 55% improvement in AI-powered customer assistance accuracy
• 11 AI ranking strategies tested in 3 weeks vs. 6 months manually
• The AI-powered case resolution rate tripled, jumping from 34% to 92%  

Docuten: Doubling the speed of custom documentation development

Docuten is a Spanish B2B digital solutions provider specializing in e-invoicing, digital signatures, and workflow automation. With a strong focus on security and efficiency, Docuten helps businesses to go fully digital and reduce manual work at scale.

The problem

Docuten’s internal processes and demands from clients were more and more complex:

• Managing dozens of disconnected tools (CRMs, marketing software, admin systems) slowed internal operations
• New Spanish regulation required food sector clients to register contracts digitally - a manual, time-consuming task
• Building a custom solution for their clients in time was not possible with traditional development

The solution

Docuten used Make to build a fully automated, scalable solution. In under four weeks, they managed to:

• Replaced a 2-month dev project with a modular Make solution, using 8 smaller scenarios, including 3 for error handling, to meet a strict government deadline
• Used Webhooks and HTTP modules to connect internal APIs and communicate with Spanish government systems
• Automated alerts and notifications using Slack for internal monitoring and Postman for client updates
• Customized client workflows with Google Sheets for data extraction and Google Drive for document backups

The results

• Cut solution development time from 8–9 weeks to just 4 weeks, saving 300+ hours
• Attracted 50+ clients, both existing and new, by quickly delivering a reliable AICA compliance solution
• Manage 100,000+ operations per year fully through Make

Wemakefuture:. Automating 10x faster with no-code

Wemakefuture is a German automation agency, specializing in AI, no-code, and low-code solutions. The company helps businesses automate processes from the customer journey to the back office and become efficient, digital-first organizations.

The problem

Before using Make, Wemakefuture faced some operational roadblocks:

• Disconnected platforms made data distribution difficult and inefficient
• Previous tools didn’t let them automate or customize onboarding the way they needed, because of missing features, rigid interfaces, or limited app compatibility.
• Manual processes slowed down workflow adjustments and innovation

The solution

With Make, Wemakefuture automated and connected their systems, code-free:

• Connected their platforms and removed data silos
• Automated internal processes, like onboarding, and integrated AI tools into daily workflows
• Achieved fast, flexible workflow changes without developers

The results

• 5–10x faster automation compared to manual coding
• Major time and cost savings, freeing up resources for strategic work

Conclusion

From AI-driven enterprises to automation-first agencies, these companies all faced a similar challenge: the growing complexity of IT processes and the pressure to move faster with fewer resources. By using Make, they turned their IT operations into a competitive advantage—streamlining development, cutting manual work, and scaling innovation without writing code.