MANAGED SERVICES
FRAMEWORK
Companion Economy: Where emotional connection becomes the most valuable currency
73%
of AI use is outside work*
46%
active AI users use it at least occationally for decision making or comparison (Global)**
80%
larger shopping cart value when AI is used in decision making (UK)**
83%
believe the use of AI will result in a wide range of benefits (Global)**
Source: *NBER Study Sep 2025, **KPMG
With ChatGPT and Google’s AI Mode becoming everyday tools, people are no longer relying only on brand websites or apps. Instead, they’re shopping, searching, and making decisions through AI-driven conversations that skip the usual steps. This is both threat and opportunity for companies.
To retain loyalty and customer engagement, companies need to figure out how they tap onto this new kind of customer behavior with their own AI-companions, in their own channels.
In the Companion Economy, growth isn’t about adding more features or squeezing people through rigid purchase and loyalty program funnels. It’s about being close, helpful, and trustworthy where needed and when needed — offering solutions that are personal, timely, predictive, and reliable.
The next big shift isn’t about who has the most advanced technology. It’s about who own the client relationship built on trust.
The enterprise AI market is experiencing a critical transition. Organizations are discovering that moving from PoC to production AI requires specialized operational capabilities they lack internally:
Production AI demands expertise in model management, data pipelines, full stack development, infrastructure engineering, security, and governance.
AI solutions need more than just technical monitoring. A database going down is obvious; a model producing subtly wrong outputs is harder to detect and potentially more damaging.
Costs can become unpredictable and new, more suitable models emerge. In production AI, the need for fit-for-purpose models is evident, and model selection should be evaluated regularly.
Will you monitor and retrain AI models continuously — or let performance quietly degrade? Models trained on historical data gradually become less accurate as real-world patterns shift. Without continuous monitoring and retraining, your AI quietly becomes less reliable.
Do you have cost governance built to support scaled deployments across business units? Lack of predictability blocks investment. Token usage fluctuates, retrieval patterns change, and infrastructure scales up unexpectedly. What started as a manageable monthly cost can quickly spiral without proper governance.
Are you confident your AI-driven innovations won’t slow down at the compliance checkpoint? Production AI needs built-in guardrails for GDPR, data privacy, and auditability. Production AI must protect sensitive data, maintain audit trails, and comply with regulations like GDPR and EU AI Act. One misconfigured endpoint or inadequately anonymized dataset creates serious risk.
Running AI at scale demands new processes, alerts, and support. When your AI system fails at night or starts producing incorrect results, who gets the alert and when are you ready to receive one? Who knows how to troubleshoot it? What's the rollback procedure? Most organizations don't have the capacity to build and maintain specialized AI operations teams.

We ensure your AI models and AI solutions are deployed safely, reliably, and secure, with continuous monitoring and improvement. Once live, our team handles daily AI operations: managing the AI platform, keeping data fresh, monitoring quality and costs and responding to incidents.
We manage the entire AI stack – from infrastructure and data pipelines to model serving and application integration. Whether you're running traditional ML models, large language models, or both, we handle the operational complexity.
Real-time tracking of model accuracy, latency, data drift, and infrastructure health. When issues arise, our team responds rapidly with root cause analysis and preventive measures to avoid recurrence.
Continuous optimization of model performance through fine-tuning, scheduled retraining, prompt engineering, and parameter tuning – all linked to evaluations to ensure stable performance. We incorporate fresh data to maintain accuracy and relevance over time.
Ongoing adjustments to maximize speed, throughput, and cost efficiency. We keep infrastructure, token usage, and optimization costs transparent with clear models that avoid surprises.
Data governance, access controls, audit logging, and compliance monitoring built into operations. We help you maintain GDPR compliance and support on sovereign AI.
Work in your chosen cloud environment (Azure, AWS, Google Cloud) with your preferred models and tools. Or leverage our sovereign LLM infrastructure for full data control. We adapt to your architecture or utilize our frameworks.
We ensure your AI models and AI solutions are deployed safely, reliably, and secure, with continuous monitoring and improvement. Once live, our team handles daily AI operations: managing the AI platform, keeping data fresh, monitoring quality and costs and responding to incidents.
Full-stack AI operations
We manage the entire AI stack – from infrastructure and data pipelines to model serving and application integration. Whether you're running traditional ML models, large language models, or both, we handle the operational complexity.
Proactive monitoring & incident management
Real-time tracking of model accuracy, latency, data drift, and infrastructure health. When issues arise, our team responds rapidly with root cause analysis and preventive measures to avoid recurrence.
Model fine-tuning & retraining
Continuous optimization of model performance through scheduled retraining, prompt engineering, and parameter tuning. We incorporate fresh data to maintain accuracy and relevance over time.
Performance & cost optimization
Ongoing adjustments to maximize speed, throughput, and cost efficiency. We keep infrastructure, token usage, and optimization costs transparent with clear models that avoid surprises.
Security & sovereign AI
Data governance, access controls, audit logging, and compliance monitoring built into operations. We help you maintain GDPR compliance and support on sovereign AI.
Vendor-neutral & flexible
Work in your chosen cloud environment (Azure, AWS, Google Cloud) with your preferred models and tools. Or leverage our sovereign LLM infrastructure for full data control. We adapt to your architecture or utilize our frameworks.
The Perceived Customer Value of ChatGPT was valued at 83€ per month.
More than Spotify, Netflix and Facebook combined.
Source
We'll Help you turn the new era of consumer behavior into a business opportunity
Tap onto wider ecosystem of energy consumption
Become a Prosperity Companion for financial wellness
Re-think digital storefront and expand servicing for both B2C and B2B
Manage life's operations and erase friction
Transform from risk mitigation to wellness catalyst
Companions for for patients and practitioners
We'll Help you turn the new era of consumer behavior into a business opportunity
Own the value chain of devices, end-to-end
Become a Prosperity Companion for financial wellness
Re-think the digital storefront and integrate servicing features B2X
Manage life's operations and erase friction
Transform from risk mitigation to wellness catalyst
Harness self-reflection and wellness for predictive healthcare
Let's explore your role and opportunities in Companion Economy. For companies that owned the digitalization era, vertical leaders with optimized funnels and mature servicing models. The opportunity is equally transformative to Telco, hospitality banking, retail, FMCG to health and wellness.
A bank becomes a prosperity coach. An airline becomes a travel companion.
Let’s turn continuous improvement into your competitive edge. Whether you’re looking to enhance performance, reduce risk, or unlock new value with AI-powered operations, we’re here to help.
Let’s explore your opportunities, map the path forward, and build reliable, AI-powered solutions that scale — together.