Lost in Translation

Matt Heys
Senior VP, Artificial Intelligence & Neural Genesis
In a recent project for a large multinational organisation, we’ve been making use of the Cyferd platform’s multi-language capabilities. Using the solution we have built with the customer, end-users can experience the application in their native language with a seamless interface that adjusts on-the-fly to changes in system language selection. No need for different systems catering to different parts of the organisation; no need to create multiple duplicate views for each language; the platform allows builders to add translations in after the fact and maintain a single, unified solution.
This has been an interesting project to work on and useful for making me seem much more intelligent and educated than I actually am. Being able to pretend I understand French, Italian, Arabic, and Turkish, whilst actually barely being proficient in my own native tongue is a great ability. Thanks Cyferd, for making look I cleverer.
However, all this work on multi-language support has made me reflect on my many inadequacies – mainly my inability to speak anything but English – but as a proud millennial, I’ll take any chance to put myself down and self-flagellate. Having said that, thanks to a decade of work in the public sector earlier in my career, and having climbed the corporate ladder to senior leadership positions, I can say I’m fluent in translating thinly veiled email insults and corporate bovine faeces into normal language (and vice versa). So, in an attempt to provide some sort of reasonable word count for this blog – and as further proof I should perhaps go and work for Buzzfeed – here’s my 2025 translation guide for the modern capitalist pawn:
- “Hey <your name>” = “90% chance I’m about to ruin your day”
- “Hey <your name>, can you give me a ring?” = “100% chance I’m about to ruin your day BUT I’ve accidentally alerted you and now you’re going to ignore me for the rest of the week…”
- “That’s weird, I’ve never seen it do that before” = “I broke it earlier and haven’t fixed it yet”
- “Let’s pick this up offline” = “I can see the light has faded from everyone’s eyes and fear our fickle collective existence may fade into the corporate void if we don’t move on”
- “I’ll give you the time back” = “Everyone loves me and appreciates the 3 minutes and 26 seconds I’ve released back into their workday”
- “Hmmmm, let me think about that one” = “I will stare into the middle distance, questioning every one of my life choices and mentally reliving all awkward social interactions I’ve had recently for the next 10 minutes until I decide to ‘put a pin in this one'”
- “That’s a great question” = “I sometimes wonder how you remember to breathe”
- “It would be great if you could socialise the learning points from the stakeholder update sessions, focusing on how they align with our strategic objectives and vision statement, and recultivating our efforts to synergise customer dynamics with our quarter 3 work statement” = “I have no idea what my job actually is but if I talk with a lot of long words and with confidence, I can keep bringing home this chunky pay cheque”
- “I don’t understand why this is proving so difficult, it’s an easy requirement” = “I was formed in the fires of hell by lucifer’s own hand, and my soul already burns for eternity in damnation for the awful human being I’m pretending to be”
- “Appreciate your patience” = “I have failed you and everyone you love, and I’m hoping this phrase makes it okay”
- “Do it lady!” = “On your birthday. All of it. At once. Yeah. All the time”
At Cyferd, we’re not just enabling seamless multi-language support – we’re also helping technologists pretend they’re sophisticated polyglots and not just passive-aggressive basement dwellers. This project reminded us all that while we might not know how to say “Where is the library?” in Turkish, we do know how to build dynamic, scalable, and beautifully unified solutions that make multilingual applications look effortless.
Tune in next time for my tutorial on how to speak to Gen-Z including phrases such as “Bruh”, “No cap”, and “Just put the fries in the bag”. Because I’m young. And cool. Still. Please agree. Thanks. Good night.
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Comparisons
BOAT Platform Comparison 2026
Timelines and pricing vary significantly based on scope, governance, and integration complexity.
What Is a BOAT Platform?
Business Orchestration and Automation Technology (BOAT) platforms coordinate end-to-end workflows across teams, systems, and decisions.
Unlike RPA, BPM, or point automation tools, BOAT platforms:
- Orchestrate cross-functional processes
- Integrate operational systems and data
- Embed AI-driven decision-making directly into workflows
BOAT platforms focus on how work flows across the enterprise, not just how individual tasks are automated.
Why Many Automation Initiatives Fail
Most automation programs fail due to architectural fragmentation, not poor tools.
Common challenges include:
- Siloed workflows optimised locally, not end-to-end
- Data spread across disconnected platforms
- AI added after processes are already fixed
- High coordination overhead between tools
BOAT platforms address this by aligning orchestration, automation, data, and AI within a single operational model, improving ROI and adaptability.
Enterprise BOAT Platform Comparison
Appian
Strengths
Well established in regulated industries, strong compliance, governance, and BPMN/DMN modeling. Mature partner ecosystem and support for low-code and professional development.
Considerations
9–18 month implementations, often supported by professional services. Adapting processes post-deployment can be slower in dynamic environments.
Best for
BPM-led organizations with formal governance and regulatory requirements.
Questions to ask Appian:
- How can we accelerate time to production while maintaining governance and compliance?
- What is the balance between professional services and internal capability building?
- How flexible is the platform when processes evolve unexpectedly?
Cyferd
Strengths
Built on a single, unified architecture combining workflow, automation, data, and AI. Reduces coordination overhead and enables true end-to-end orchestration. Embedded AI and automation support incremental modernization without locking decisions early. Transparent pricing and faster deployment cycles.
Considerations
Smaller ecosystem than legacy platforms; integration catalog continues to grow. Benefits from clear business ownership and process clarity.
Best for
Organizations reducing tool sprawl, modernizing incrementally, and maintaining flexibility as systems and processes evolve.
Questions to ask Cyferd:
- How does your integration catalog align with our existing systems and workflows?
- What is the typical timeline from engagement to production for an organization of our size and complexity?
- How do you support scaling adoption across multiple business units or geographies?
IBM Automation Suite
Strengths
Extensive automation and AI capabilities, strong hybrid and mainframe support, enterprise-grade security, deep architectural expertise.
Considerations
Multiple product components increase coordination effort. Planning phases can extend time to value; total cost includes licenses and services.
Best for
Global enterprises with complex hybrid infrastructure and deep IBM investments.
Questions to ask IBM:
- How do the Cloud Pak components work together for end-to-end orchestration?
- What is the recommended approach for phasing implementation to accelerate time to value?
- What internal skills or external support are needed to scale the platform?
Microsoft Power Platform
Strengths
Integrates deeply with Microsoft 365, Teams, Dynamics, and Azure. Supports citizen and professional developers, large connector ecosystem.
Considerations
Capabilities spread across tools, requiring strong governance. Consumption-based pricing can be hard to forecast; visibility consolidation may require additional tools.
Best for
Microsoft-centric organizations seeking self-service automation aligned with Azure.
Questions to ask Microsoft:
- How should Power Platform deployments be governed across multiple business units?
- What is the typical cost trajectory as usage scales enterprise-wide?
- How do you handle integration with legacy or third-party systems?
Pega
Strengths
Advanced decisioning, case management, multi-channel orchestration. Strong adoption in financial services and healthcare; AI frameworks for next-best-action.
Considerations
Requires certified practitioners, long-term investment, premium pricing, and ongoing specialist involvement.
Best for
Organizations where decisioning and complex case orchestration are strategic differentiators.
Questions to ask Pega:
- How do you balance decisioning depth with deployment speed?
- What internal capabilities are needed to maintain and scale the platform?
- How does licensing scale as adoption grows across business units?
ServiceNow
Strengths
Mature ITSM and ITOM foundation, strong audit and compliance capabilities. Expanding into HR, operations, and customer workflows.
Considerations
Configuration-first approach can limit rapid experimentation; licensing scales with usage; upgrades require structured testing. Often seen as IT-centric.
Best for
Enterprises prioritizing standardization, governance, and IT service management integration.
Questions to ask ServiceNow:
- How do you support rapid prototyping for business-led initiatives?
- What is the typical timeline from concept to production for cross-functional workflows?
- How do licensing costs evolve as platform adoption scales globally?
