Beyond AI: Why specialized providers remain indispensable for enterprises
4 mins
The rise of Generative AI (Gen AI) has undeniably transformed the language services and natural language processing landscape. But while much of the conversation revolves around AI’s technical capabilities – its ability to generate, translate, or refine text – there’s a critical aspect being overlooked: AI alone does not provide the business reliability that enterprises need.
Enterprises operate in a world where trust, compliance, and long-term strategic partnerships matter as much as (if not more than) raw technological capabilities. This is where specialized Language Services Providers (LSPs) and Natural Language Software companies prove irreplaceable. That’s not just our opinion. Our own research – involving C-Suite Executives – found that 60% prefer to collaborate with trusted partners in their AI programs, and 43% favour innovators who combine technology, AI and human expertise.
And they’re under extreme pressure to implement AI, according to 87% of C-Suite execs that we spoke to. Compounding the challenge is that they’re just not ready – highlighted by a McKinsey report, claiming that 91% of organizations are unprepared to scale AI responsibly.
About two-thirds (65%) of executives Accenture surveyed admitted that they lack the expertise required for the gen AI-led transformation. We also know from BetterUp’s own data that as a leaders’ self-ratings decline in key areas, their direct report’s ability to trust them declines as well – creating a cycle for even less trust.
1. AI delivers content – specialized providers deliver trust
GenAI can generate text, but who ensures its accuracy, reliability, and alignment with enterprise needs over time? LSPs and specialized providers don’t just offer AI-driven solutions – they guarantee:
- Service Level Agreements (SLAs) that define performance, uptime, and accountability
- Maintenance & Support Agreements to ensure ongoing reliability
- Customization and personalization that AI models alone cannot provide
While AI operates at the push of a button, businesses need partners who stand behind the outputs, ensuring quality, consistency, and compliance at scale.
2. Compliance and liability: AI can’t sign contracts
Enterprises require more than just output; they need assurances. Compliance with data security, confidentiality, and industry-specific regulations (e.g., GDPR, HIPAA, ISO certifications) is non-negotiable.
- Who takes responsibility if AI-generated content contains biases, inaccuracies, or security risks?
- Who ensures that AI adheres to global regulatory requirements?
Specialized providers don’t just implement AI; they integrate it within legally binding frameworks that ensure enterprise-grade reliability and risk management.
DoorDash: To improve their contact center operations, DoorDash built a generative AI solution using Amazon Bedrock and Anthropic's Claude models. This development reduced application development time by 50%, streamlining support for millions of Dashers globally.
Sun Life: The financial services company deployed Sun Life Asks, an AI-powered chatbot using Anthropic’s Claude through Amazon Bedrock. This tool handles over 10,000 queries weekly, significantly enhancing employee productivity and decision-making.
Goodnotes: The digital note-taking app integrated Amazon Bedrock to enhance its generative AI capabilities. This integration facilitated rapid scalability, allowing Goodnotes to support millions of active users with high service reliability.
Elastic: Elastic utilized Amazon Bedrock and Anthropic’s Claude 3 models to improve security analyst efficiency. This implementation reduced response times and the number of security incidents, enhancing the overall security posture.
Thomson Reuters: They developed Checkpoint Edge with CoCounsel, a generative AI application for tax research. This tool provides responsive answers to customer queries with in-line citations to tax resources, enhancing the user experience in their Checkpoint tax solutions.
3. Beyond AI outputs: The need for AI-assisted innovation
While AI is great at automating tasks, true business value comes from AI-assisted innovation – where human expertise and domain knowledge transform AI-generated outputs into strategic assets. Specialized providers bridge the gap between raw AI capabilities and business-ready solutions, offering:
- Tailored AI workflows instead of generic, one-size-fits-all models
- Hybrid human-AI solutions for nuanced, high-stakes content
- Integration into enterprise knowledge systems beyond simple text generation
The future isn’t AI replacing expertise – it’s AI amplifying specialized expertise.
4. Scaling AI requires more than just models – it requires infrastructure and change management
Many organizations jump into AI adoption without realizing that true AI-driven transformation requires robust infrastructure, process modernization, and large-scale change management. Specialized providers don’t just deliver AI tools – they architect AI-powered ecosystems.
This includes:
- Enterprise software integration – ensuring AI seamlessly connects with existing systems
- Governance frameworks – so AI is used responsibly across teams and workflows
- Change management at scale – helping organizations adopt AI without disrupting their operations
Without these critical elements, enterprises risk fragmented AI adoption, inefficiencies, and compliance failures.
Conclusion: AI Is a Tool - Before enterprises jump headfirst into AI, they should ask: Do we have the right partner to make it work at scale?
In today’s AI-obsessed landscape, it’s easy to get lost in the hype of technology. But at the enterprise level, business success depends on more than just AI-generated content.
- Trust, accountability, and compliance matter
- Reliability and long-term service agreements matter
- Enterprise-level customization and infrastructure integration matter
And these are not things AI alone can provide. This is why specialized LSPs and Natural Language Software companies remain the true business enablers in an AI-driven world. Learn how RWS can help across all stages of your AI journey.
Elsa Sklavounou
All from Elsa SklavounouRelated Articles
