Introducing XOOS
We’ve worked inside the brands we now serve. We know what their operations need, what they’re missing, and how ready they are for AI. Because we also build the tech, we can design and run the systems — not just recommend them.
AI Solutioning
Designing where AI should assist, automate, or stay out of the way.
AI Solutioning is the phase where Product, BI, and CX Ops teams work together to identify the biggest friction points in your customer experience and design the highest-impact AI interventions. This work gives us the data we need to choose the right AI starting point, forecast financial and operational impact, and build the XOOS Roadmap — so we focus first on the areas with the greatest savings and performance upside.
Find the highest-impact moments
Define the right AI approach
Build the XOOS roadmap and success metrics
Context Engineering
Turn scattered knowledge into a training set for your AI and agents.
Context Engineering is where we train your operation. We centralize every article, policy, macro, and workflow, then map the real processes behind your tickets so AI and agents can follow the same logic, step by step.
Our AI Ops team works across your BPO and business stakeholders to capture, clean, and structure the operational reality your AI needs to perform. We turn workflows, policies, exceptions, edge cases, and tribal knowledge into scenario-based instructions and grounded context your agents can reliably follow.
Collect and consolidate everything your teams rely on today, including KBs, SOPs, policies, macros, tooling rules, and escalation paths.
Translate real ticket handling into clear decision trees and step-by-step flows, including variations by channel, customer type, and edge case.
Validate coverage and correctness with real conversations, measure accuracy and failure modes, and tighten the context until it performs reliably.
Building
AI engineers translate that context into working behavior inside our LLM-agnostic agent builder. We connect the model to the right tools, routes, and data, then test on real conversations with guardrails and evaluation so your AI can decide, act, and escalate safely.
Maintenance
Launch isn’t the finish line. It’s day one. Our AI Ops team continuously monitors performance, drift, and operational change, then updates context, workflows, and integrations to keep quality high as your business evolves.
Your AI and human agents improve together, without constant rebuilds.
Real results
What our partners say
Let’s start with a diagnosis
We’ll review your CX stack, and AI ambitions — and show you exactly where to start.
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