Day Nguyen is Building Advan to Bring Transparency and Trust to AI Support
AI customer support is accelerating, with everyone from Fortune 500 companies to small businesses eager to provide a faster, more efficient support experience. But the quality of the customer support is pivotal to the customer-brand relationship. When AI makes mistakes, it impacts customer trust more than any other channel.
And as AI support tools are being introduced with varying levels of reliability, both customers and businesses are beginning to desire more clarity on how AI is reaching support decisions.
Having worked on design and operations projects across numerous startups, Day Nguyen experienced the fast rise—and emerging skepticism—of AI support first-hand. So he set out to build Advan and create a more transparent AI support solution.
Introducing Advan: Transparent AI Support for Better Customer Experiences
Advan offers transparent AI support and sales engagement workflows for B2B SaaS companies. By providing greater clarity into AI’s decision making, human co-pilot controls, and confidence scoring, Advan enables teams to create efficient support experiences without compromising reliability.
“Everybody today is using AI, and a lot of it isn't transparent,” Day explains. “Customers now demand to understand the reasoning behind every AI decision—how the AI reached its answer—and to get a human into the feedback loop."
Advan achieves this transparency by organizing the support loop into four observable, reversible steps—ingest the query, reason through the answer, verify answer accuracy, and resolve the query. Every response is assigned a confidence score, with low-confidence answers routed to a human team member rather than the customer, and high-confidence answers sent to the customer with answer source, policy reference, and reasoning.
The platform provides support across Email, Chat, and Voice, with integrations to industry-standard systems like Stripe, Salesforce, and Zendesk. Every answer is sourced, auditable by default, and tenant-isolated, protecting customer data and maintaining SOC 2 Type II, GDPR, ISO 27001 compliance.
Day’s Journey to Advan
Before becoming a founder, Day spent years working on growth, design, and customer workflow projects with numerous early-stage startups and small businesses. Although every project was different, he noticed the same support pain points were consistently emerging.
Support teams were overwhelmed, and while AI promised greater efficiencies, opaque answers and inconvenient customer experiences created more frustration than value. While most AI support tools are a black box, Day knew that for AI support to reach its full potential, human co-piloting and answer transparency would have to be built in from the ground up.
So he set out as a solo founder and began building Advan. Five months later, Day is currently working with early users and refining the beta product, with plans for Advan’s first raise in the near future.
“The companies that win will be the ones that build trust and transparency from the start rather than bolting it on later,” Day says. “Advan is AI-first, but human-led, and accountable on day one."
Day’s Advice for Fellow Founders
“There are many ups and downs in the role of the founder. Especially right now, as the age of AI is more competitive,” Day explains. It’s important both to be persistent while also staying flexible as circumstances change. “Focus on your vision and goals, but also be prepared to pivot or update your plan when you need to.”
For Day, this balance comes from regularly speaking with clients, friends, and family. “I stay focused by talking to my friends, clients, and family about what I'm building. I get their feedback and adjust along the way.”
To learn more about Day’s founder journey, you can follow him on LinkedIn. Day is actively looking to connect with new users, so if you’re interested in a more transparent AI-powered support solution, you can learn more at advanai.net.
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