Condado

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Engineering the Next Generation of AI-Powered Customer Experiences

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Overview

employees

2005

founded

Kansas City

United States

Condado helps businesses transform customer experience into a competitive advantage. Our vendor-agnostic, advisory-first approach helps enterprises cut through complexity with the right technology.

Since 2005, Condado has been the trusted advisor for ambitious companies looking to turn customer experience into a lasting competitive advantage. With a foundation in management consulting and technology, shaped by our experiences at Deloitte, HP Enterprise, Sprint, and NTT Data, we take a business outcomes driven approach to solving complex CX technology challenges. We have delivered AI-driven CX innovations long before they became mainstream, helping clients navigate complex CX challenges with real, lasting impact and happy customers. Our deep industry expertise allows us to cut through the jargon and focus on what truly matters, delivering exceptional experiences that build trust, loyalty, and long-term success.

Contact details

Business info

Publicly traded: No
Majority shareholders: Institutional Investors

Locations

Kansas City, MO, United States

Headquarters

Founded2005

Employees19

1251 NW Briarcliff Pkwy, Kansas City, MO 64116, USA

Salt Lake City, UT, United States

Sales Office

Founded2025

Employees6

2701 N Thanksgiving Way unit 100, Lehi, UT 84043, USA

Service lines

We are not focused on specific services

Industries

any20%

Healthcare15%

Financial Services15%

Technologies

Amazon Web Services (AWS)Five9GenesysNICESalesforceZoom

Case studies

View all1 / 5

How Condado Helped Toyota Financial Services Automate Customer Outreach

Toyota Financial Services needed a scalable, automated solution to improve customer outreach & reduce manual effort. They required middleware integration for seamless data flow between their internal databases & LiveVox’s platform. Condado served as Toyota’s technology partner, delivering a custom middleware solution hosted on Azure Cloud.

How Condado Helped Ferrellgas Reduce Call Abandonment Rates by 60%

Facing high abandonment rates, frustrated customers, & long hold times, Ferrellgas required an AI-driven solution to improve efficiency & enhance customer experience. Condado addressed those problems by designing & implemented an advanced AI orchestration layer within NiCE CX.

Inside IBM’s AI-Powered CX Transformation: NiCE CXone & IBM Watson Integration

Condado partnered with IBM to design and implement a first-of-its-kind integration between NiCE CX and Watson AI, reshaping how healthcare providers and patients engaged with IBM’s call center services.

Indicative rates

Rates not shared by provider.

Certifications¹

ISO 27017

Security Controls for Cloud Services

Since 2005

Leadership

Brad Aho

Chief Revenue Officer

Jason Mitchell

VP of CCaaS Delivery

Insights

View all1 / 7

Zoom AI Companion 3.0 for Enterprise: A Strategic Review

Zoom AI Companion 3.0 signals a shift from meeting support tools to agentic AI embedded in enterprise collaboration workflows. The release expands AI assistance beyond Zoom meetings to in-person sessions and third-party platforms such as Microsoft Teams and Google Meet, while introducing Custom AI Companion agents that can integrate with internal systems via APIs. Additional capabilities include unified knowledge search across chats, documents, and transcripts, real-time translation, and AI-assisted task follow-ups. For technology leaders, this highlights a broader trend: collaboration platforms are evolving into orchestration layers for work, expected to reduce cognitive load, surface organizational knowledge, and integrate directly with business processes.

Beyond Chatbots: How Autonomous AI Is Transforming Customer Experience

Autonomous AI is moving customer experience from reactive interactions to proactive, goal-driven resolution, increasing the importance of transparency and governance. The article explains how autonomous systems extend beyond chatbots by planning, acting, and completing multi-step tasks across enterprise systems with limited human intervention, enabling contextual service and end-to-end issue resolution. It also outlines adoption considerations such as data readiness, oversight mechanisms, and escalation paths, emphasizing that clear visibility into AI decision-making is critical. For technology leaders, transparent autonomous AI is key to improving CX while maintaining trust, accountability, and operational control.

Why CX Leaders Are Rethinking Outsourcing in the Age of GenAI

GenAI is forcing CX organisations to revisit outsourcing assumptions because “throughput + cost” models don’t hold up when journeys span channels and require consistent context. The article explains how automation and GenAI-assisted agents shift work toward higher-judgement interactions, while making accountability murkier when AI drafts, routes, or resolves issues. It highlights new expectations for providers: responsible AI governance, orchestration to prevent cross-vendor inconsistency, and integration into broader CX ecosystems (AI, CRM, analytics, feedback loops). Tech leaders should treat outsourcing as a capability-and-control decision, or risk scaling fragmentation and quality issues.

Events

No events data available.

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