Case Studies
Real digital transformation stories with measurable, verifiable results.
Client context
Lucas Diesel evaluates and repairs diesel injectors and turbos. Every time they inspected a part, they had to write a technical report by hand, a slow, inconsistent process that delayed delivery to the customer.
Results
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productivity increase
Implemented solution
We built a system that generates these reports automatically using artificial intelligence. Now, as soon as a technician finishes an evaluation, the report is created on its own in minutes, ready for review and delivery.
Implementation process
- 1
Organized and cleaned the existing database of parts and failures
- 2
Connected the new system with Lucas Diesel's internal platform
- 3
Designed the web platform and validated it with the client's technical team
- 4
Built the report management and generation dashboard
- 5
Activated the AI system that generates reports automatically
- 6
Trained Lucas Diesel's team and launched the solution in production
“Reports that used to take hours are now generated in minutes, with greater consistency and quality. The impact on productivity was immediate.”
Nicolas Gonzalez
Administration and Finance Manager, Servicio Lucas Diesel S.A.
Client context
Syncore is a key player in engineering, construction, and industrial assembly in Chile, with more than 3,500 workers deployed on large mining projects. Accreditation and clearance documentation for their workforce was scattered across different areas, each with its own repository. This led to duplicated work, delays in verifying whether a worker was cleared, and the risk of non-compliance with client requirements.
Results
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in manual review time
Implemented solution
Mactec built a centralized accreditation and clearance platform that unifies every worker's documentation in a single place. The system integrates automatically with Talana (contractual information) and WorkMed (medical certificates), and uses AI to read and extract expiration dates from training documents without manual intervention.
Implementation process
- 1
Mapped the existing documentation workflows
- 2
Designed the platform's architecture and wireframes alongside the client team
- 3
Built automatic integrations with Talana and WorkMed
- 4
Implemented the AI module for automatic extraction of expiration dates from PDF documents
- 5
Built the frontend with per-worker documentation status and reporting
- 6
Trained the administrative teams and rolled out the solution to production
“We went from reviewing folders for days to approving clearances in minutes. The traceability and control we gained is incomparable to what we had before.”
Daniel Gomez
Innovation and Continuous Operational Improvement Manager, Syncore Montajes SPA
Client context
CNA Chile connects farmers and agricultural communities across the country with the inputs they need for production. Its digital platform used outdated technology that introduced unnecessary friction, they preferred quoting via WhatsApp or phone over using the platform. This prevented it from scaling from 800 to 10,000 clients.
Results
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digital sales
Implemented solution
Mactec built, from the ground up, a B2B quoting platform with two integrated portals, one for farmers and agricultural companies, where they can browse the catalog, build their product list, and request quotes, and another for CNA's sales team, where they centrally manage, respond to, and track every quote.
Implementation process
- 1
Designed the system architecture and user flows for both portals
- 2
Built the base infrastructure on Google Cloud and configured the database
- 3
Built the Client Portal with catalog, quoting system, and automatic notifications
- 4
Built the Sales Portal with a quote inbox and response editor
- 5
Migrated the 800 existing clients from the legacy platform with an account reactivation flow
- 6
Ran full end-to-end testing and deployed both platforms to production
“Digital sales doubled after rollout. The digital channel went from being friction to becoming a real growth engine for the business.”
Antonio Sazo
Deputy IT Manager, CNA Chile SPA
Client context
Lucas Diesel's administrative team spent 80% of their time manually processing electronic invoices, downloading files, reviewing them line by line, classifying them for accounting, and entering them one by one into the ERP. Periodically they also had to cross-check the two systems in Excel to find missing invoices. A slow, error-prone process entirely dependent on a single person.
Results
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less time spent on processing
Implemented solution
Mactec automated the entire electronic invoicing flow. As soon as a supplier issues an invoice, the system captures it automatically, extracts the data from the XML, classifies it for accounting using configurable rules or AI depending on the complexity of the case, and records it directly in their ERP with no human intervention.
Implementation process
- 1
Analyzed the existing invoicing flow and the accounting classification criteria
- 2
Configured the dedicated email inbox and automatic forwarding
- 3
Built the classification engine with fixed rules and AI capability for complex cases
- 4
Built the API integration with the ERP
- 5
Configured the web dashboard for invoice review and approval
- 6
Ran tests with real invoices and trained the administrative team
“We cut the time spent on invoice processing by 90%, eliminating transcription errors and freeing the team for higher-value work for the business.”
Nicolás González
Administration and Finance Manager, Servicio Lucas Diesel S.A.
Client context
Pillin is a brand with a constantly evolving digital ecosystem, multiple platforms, integrations with systems, loyalty campaigns, operational improvements, and new features that come up every month. Under a traditional project-by-project quoting model, every new need meant weeks of back-and-forth before development could start, a real brake on a business that needed to move at the pace of the market.
Results
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faster than the traditional model
Implemented solution
Pillin adopted Mactec's Continuous Development Plan, a reserved-capacity model that removes the friction of quoting every request. Instead of negotiating project by project, Pillin's team submits requests directly to the flow, prioritizes based on business needs, and Mactec delivers continuously. The result is a dedicated technology partner that already knows the stack, the systems, and the business rules, and moves forward without pause.
Implementation process
- 1
Defined a working methodology with joint prioritization and biweekly follow-up meetings
- 2
Enabled a shared board with real-time visibility of the status and progress of each request
- 3
Mactec took on the role of dedicated development team, absorbing the full context of Pillin's stack
- 4
Ran multiple projects in parallel, integrations with core systems, loyalty platforms, operational improvements, and new channels
- 5
New needs enter the flow without additional quotes, with known and predictable delivery times
“We went from waiting weeks to start every initiative to having a dedicated team that moves our digital roadmap forward continuously. We move at twice the speed.”
Sebastián Tala
Commercial Manager, Pillin
Client context
Grupo Coloso receives a high volume of prospects for its real-estate projects via WhatsApp, web forms, and digital campaigns. The sales team spent much of its time on the initial handling of each lead, answering basic questions about the projects, collecting contact information, asking about income and buying intent, before being able to identify which clients were actually ready to move forward. This bottleneck delayed responses, cooled down opportunities, and consumed commercial hours on conversations that would never close.
Results
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leads handled per month
Implemented solution
Mactec built an AI agent on WhatsApp that handles leads in real time. The agent answers questions about available projects and, in parallel, naturally collects the key information: project of interest, approximate income, and buying intent. With that data, it automatically classifies each lead by qualification level and hands it over to the sales team already segmented, so reps focus exclusively on clients with the highest closing potential.
Implementation process
- 1
Mapped the current sales handling flow and the lead qualification criteria
- 2
Designed the agent's conversational flows to answer project questions and collect key information
- 3
Integrated the agent with WhatsApp and internal commercial management systems
- 4
Implemented the automatic classification logic and lead routing to the sales team
- 5
Trained the sales team on the use of segmented leads and activated the agent in production
“Over 2,500 potential clients are now handled per month automatically. The bottleneck is gone and the sales team focuses exclusively on the leads with the highest closing potential.”
Manuel Toloza
Deputy Marketing Manager, Grupo Coloso
Client context
Asesorías YHC manages the monthly accounting of more than 500 clients, a volume that forced the team to spend most of its time on repetitive tasks, downloading purchase, sales, fees, and notes books from the SII for every client, reviewing invoice by invoice, classifying each document for accounting, and centralizing the information in internal systems. A slow, repetitive, error-prone process that limited the ability to grow without continuously hiring operational staff.
Results
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accounting process automation
Implemented solution
Mactec automated the entire accounting cycle end to end. On one side, autonomous bots connect to the SII and pull the purchase, sales, fees, and notes books for all clients on a scheduled basis, with no human intervention. On the other, an AI engine automatically classifies purchase invoices, the most complex step in the flow, and centralizes the accounting information ready for review. The team stopped operating invoice by invoice and moved to reviewing only the exceptions.
Implementation process
- 1
Mapped the full accounting flow, identifying the processes with the highest operational load
- 2
Built the automatic SII extraction bots for purchase, sales, fees, and notes books
- 3
Implemented the AI-based automatic classification engine for purchase invoices
- 4
Integrated the processed information with internal systems for automatic centralization
- 5
Configured the control dashboard with alerts on exceptions and automatic validations
- 6
Trained the team on the new flow and rolled out the platform in production across the full client base
“We scaled the processing of more than 500 clients without growing the operations team. We freed up hours for higher-value work like tax advisory and client service.”
Alfonso Yarad
Commercial Director, Asesorías YHC
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