AI Customer Service Agents

AI agents that automate workflows for distributors. Lark deploys AI agents for distributors to automate purchasing, demand forecasting, inventory monitoring, sales operations, and data analysis. Our agents connect to the ERP, CRM, email, spreadsheets, and other software your team already uses. They forecast demand, prepare purchase orders, flag inventory issues, update sales records, and answer questions using your business data. Together, these agents can run a distributor’s entire operation. We handle setup and tailor each agent to your workflows, business rules, and approval limits, so your team can automate recurring work while staying in control.

AI-native professional services agency.

The AI-native ERP system integrator. Trope is the AI-native ERP system integrator. We accelerate months of hourly implementation work with agent-driven, fixed-fee delivery. Instead of leaving customers with a static system, we deploy AI agents that continue running and improving core business operations after go-live. Trope combines AI trained on ERP systems with principal consultants who have delivered 200+ implementations over 20 years. Together, they turn consulting services into software, shifting systems integration from one-time implementations to continuous AI-driven operations.

AI growth engine for law firms.. Our agents scan the web to deliver new client & cross-selling opportunities for law firm partners. Every day, our customers log onto our platform to see who to contact, why now, and what to say. Partners are trained to practice law - not to prospect, sell, and manage pipelines. We're here to help them grow while they focus on what they do best.

AI agents that run small businesses. Async builds agents that change how businesses can run. Law firms, healthcare clinics and real estate companies hire our AI agents to automate complex work that's never been economical to staff with humans, letting us capture labor spend that didn't previously exist.

AI employees that run home appliance repair companies. Bernard builds AI employees for home and commercial appliance servicers. They work across phone, text, email, warranty feeds, and existing systems to manage customer communication, scheduling, and dispatch, carrying each job through diagnosis, parts preparation, technician handoff, and follow-up. At the center is Pre-ID, which combines the exact appliance and its symptoms with repair history, similar completed visits, manufacturer guidance, and parts data to produce a diagnosis, ranked parts, and follow-up questions. Technicians arrive prepared with the right parts, helping servicers complete more repairs on the first visit. We’re building the world’s most efficient appliance servicers, creating happier customers and a more connected appliance ecosystem. Learn more at https://bernardhq.com/

find, qualify, & win contracts with AI. The intelligent operating system for government contracting. Built by former AI engineers and government officials.

AI sales agents that run your marketplace. Palisade spins up a personal sales agent for every single visitor to your website. Marketplaces like trading card platforms, vintage stores, and short-term rental operators sell more when each customer works with a personal agent that remembers them.

Product Analytics for Conversational Agents. Agnost AI reads every conversation a company's AI Agent has with its users to find where it's silently failing and then turns that same data into custom models that run the agent better and cheaper than frontier models.

AI workers that attribute the outcome back to the token spend. Your AI spend becomes accountable labor: every AI worker gets a job, persistent context, a budget, guardrails, and outcomes you can measure. Copilots made individuals faster. Agent builders made automations easier to create. Both leave the organization unchanged: same roles, same capacity, same org chart, and leadership still sees AI as a software expense, not labor. Tenor makes AI enter the company as labor instead: every employee manages a team of AI workers built around the recurring work of their role, each with a defined job, boundaries, a budget, and a record of what it delivered. Employees provide the judgment. AI workers provide the execution. Leadership finally sees what AI spend returns.