AskNicely launches Ask NiceAI for service businesses
AskNicely has launched Ask NiceAI, a conversational AI interface for customer feedback aimed at multi-location service businesses.
The tool lets managers ask plain-language questions about customer sentiment and receive cited answers, visuals and recommended actions. It is designed to solve a common problem for operators with large networks of sites, where feedback is spread across surveys, online reviews, frontline reports and internal dashboards.
The challenge is often not collecting data, but using it in time, the company states. Declines in Net Promoter Scores, repeated complaints in reviews or weak performance at a specific site can take time to spot when teams rely on manual reporting, spreadsheets or analysts to interpret information from different systems.
Ask NiceAI is intended to shorten that process. Instead of building reports, managers can ask why scores fell in a given month or what customers are complaining about most, and the system returns responses based on the company's own data.
The launch comes as spending on customer experience technology continues to rise. AskNicely cited market estimates projecting the customer experience management sector will exceed USD $30 billion by 2028, as companies invest more in tools to monitor and respond to customer behaviour.
Artificial intelligence has become a major part of that market, yet many businesses still rely on staff to collate and interpret feedback before action is taken. That can delay fixes, particularly in sectors where customer experience is delivered through dispersed frontline teams rather than a single central operation.
Tony Ward, Chief Executive Officer of AskNicely, said the product was built to address that gap between data and response.
"Most companies don't have a feedback problem, they have a response problem," Ward said. "Customer signals are everywhere, but they're buried in dashboards and disconnected systems. Ask NiceAI brings that data together and turns it into something teams can actually use in the moment."
Existing Tools
The new interface builds on AI features already available in AskNicely's platform, including dynamic surveys, thematic analysis, automated review responses and response moderation. The latest release adds a conversational layer, allowing head office and frontline users to query customer data directly instead of waiting for a report.
That is particularly relevant in industries where local execution directly affects customer retention and brand reputation. The product is aimed at operators in healthcare, accounting and law firms, home services, fitness and retail, all of which often run distributed teams across dozens or hundreds of locations.
In those sectors, a store manager, clinic lead or regional operator may need to understand quickly why satisfaction has fallen, whether a complaint trend is limited to one branch, or which issue appears most often in customer comments. A conversational interface lowers the barrier by letting non-specialist users analyse data without specialist reporting skills.
Ward said speed and access were central to the launch. "We built Ask NiceAI so that insight doesn't sit waiting to be interpreted," he said. "A manager can ask a question in the middle of a meeting and walk away with a clear, data-backed plan. That fundamentally changes how quickly businesses can respond, improve and grow."
Operational Focus
AskNicely is positioning the product as an operational tool rather than one used only by executives or analysts. That reflects a wider shift in business software, as vendors try to move AI beyond summary dashboards and into day-to-day decision-making by frontline and middle-management staff.
AskNicely serves more than 1,000 service brands globally. Its pitch centres on helping customers capture sentiment in real time and use it to improve reviews, reduce churn and increase referrals.
For a company serving multi-site operators, the practical challenge is scale. A business with hundreds of customer touchpoints may already have plenty of information about satisfaction levels, but its value depends on whether local teams can turn that information into action before it affects revenue or reputation.
Ask NiceAI is intended to reduce that lag by bringing together fragmented feedback and making it searchable through conversation. The company argues that for many businesses, understanding customer sentiment is no longer the main obstacle; responding in time to change the outcome is harder.