Do you have manufacturing-specific experience?

Yes. Our Build and Data practices have worked on MES integrations, SCADA data pipelines, and OT/IT convergence projects. We understand the difference between a development environment and a production line, including the cost of downtime and the importance of rollback strategies.

Can you work with our existing ERP (SAP, Oracle, etc.)?

Yes. We’ve integrated with SAP, Oracle, Microsoft Dynamics, Infor, and custom/legacy ERPs. Our approach is to build a stable integration layer rather than forcing a rip-and-replace.

How do you approach AI for manufacturing?

We start with the data. Most manufacturers don’t have unified operational data, which is the prerequisite for useful AI. Once the data foundation is in place, we deploy targeted AI for predictive maintenance, quality inspection, or demand forecasting, grounded in your actual operations and validated with your engineers before deployment.

Do you understand OT/IT security requirements?

Yes. Our Secure practice handles OT/IT segmentation, industrial network security, and the specific threat models that apply to manufacturing environments (ransomware targeting production, unauthorized PLC access, supply chain compromise).

DGTL for Manufacturing

Modernize the shop floor without stopping it.

Manufacturing is in the middle of the biggest technology shift in a generation, IoT, predictive maintenance, digital twins, and AI-driven optimization are reshaping operations. We bring engineering, data, AI, and strategy together so you can modernize without disrupting the production floor. Headquartered in Quito, inside your East Coast team’s working day all year, delivery across the Americas.

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Why Manufacturing is different

Manufacturers face a different kind of digital transformation challenge than digital-native companies:

Legacy systems are the norm, not the exception.

Your ERP might be older than some of your engineers. Your MES was customized a decade ago by a vendor that no longer exists. Every new system has to integrate with this legacy stack without breaking production.

Downtime is catastrophically expensive.

A software rollout that causes four hours of production downtime can cost more than the entire software project. Deployment, testing, and rollback strategies matter as much as the code itself.

Operational data is trapped in silos.

Machine data, quality data, supply chain data, financial data, they all live in separate systems with different formats. Unifying them is the prerequisite for any AI or optimization initiative.

AI can transform operations, if it’s grounded in reality.

Predictive maintenance, quality inspection, demand forecasting, and process optimization can drive enormous ROI. But AI that’s not grounded in production constraints, safety requirements, and operator workflows won’t get adopted on the shop floor.

How DGTL helps manufacturing companies

Challenge	DGTL Practice	What We Do
Modernizing legacy ERP and MES integrations	Build + Data	Integration layers that connect new software to legacy systems with reliable data flow, error handling, and rollback capability.
Deploying predictive maintenance AI	AI + Data	ML models for machine failure prediction, anomaly detection, and maintenance scheduling, grounded in your actual production data.
Unifying operational data	Data	Data infrastructure that pulls from PLCs, SCADA, MES, ERP, and quality systems into a single source of truth.
Building operator-friendly dashboards	Studio + Build	UX designed for shop-floor use: high-contrast displays, glove-friendly interfaces, and workflows that match how operators actually work.
Digital twin and simulation platforms	Build + AI	Process digital twins for capacity planning, bottleneck analysis, and what-if simulation before changes hit production.
Digital transformation strategy	Advisory	Sequencing your modernization roadmap to deliver ROI in phases, not a multi-year big-bang project.

Modernizing legacy ERP and MES integrations

Build + Data

Integration layers that connect new software to legacy systems with reliable data flow, error handling, and rollback capability.

Deploying predictive maintenance AI

AI + Data

ML models for machine failure prediction, anomaly detection, and maintenance scheduling, grounded in your actual production data.

Unifying operational data

Data

Data infrastructure that pulls from PLCs, SCADA, MES, ERP, and quality systems into a single source of truth.

Building operator-friendly dashboards

Studio + Build

UX designed for shop-floor use: high-contrast displays, glove-friendly interfaces, and workflows that match how operators actually work.

Digital twin and simulation platforms

Build + AI

Process digital twins for capacity planning, bottleneck analysis, and what-if simulation before changes hit production.

Digital transformation strategy

Advisory

Sequencing your modernization roadmap to deliver ROI in phases, not a multi-year big-bang project.

DGTL Readiness Index

Typical manufacturing client baseline

Manufacturing clients carry strong domain Advisory and stable Sales (relationship-driven), but soft across Build (legacy ERP/MES), AI (early-stage), Data (siloed across OT/IT), and Secure (OT exposure). Modernization tends to start with Data + Secure as the foundation.

Composite profile from prior engagements in this vertical. The dotted ring is the target we work toward together.

See the framework

Manufacturing case study

We work with mid-market manufacturers modernizing operations through predictive maintenance, data unification, and digital twin platforms. Representative engagements have achieved 30%+ reduction in unplanned downtime and 6-month payback on AI investment.

Read the full case study

These case studies are representative examples. Client names, figures, and specific details may have been modified or anonymized until signed releases are available.

Frequently asked questions

Explore other industries:

Commerce →Professional Services →Fintech →

Modernizing manufacturing? Let’s make it practical, incremental, and measurable.

Tell us about your operations and your modernization goals. We’ll build a phased roadmap that delivers ROI without disrupting production.

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