-- Leapforce.ai turns scattered AI experiments into secure, scalable enterprise operations.
The first sign of change rarely arrives as a formal initiative. It shows up when a sales manager starts keeping a prompt library in a spreadsheet. An operations lead automates the Friday report and mentions it to no one. A support team pushes a weekend backlog through a chatbot and clears it before Monday. None of it appears on an IT roadmap. AI is already inside most enterprises, and what it lacks is an owner, a record, and any real connection to the systems the business runs on. Leapforce.ai was built for that moment, the point where experiments have to become infrastructure.
An Enterprise AI Agent Platform Built for Control
Founder and CEO Kelvin Tran describes the mission of Leapforce.ai in a single sentence. Help businesses scale with an AI workforce. The point, he says, is what employees do with the hours that come back.
“We want to free employees from repetitive tasks so they can spend their time on what matters most, which is the customer and the customer experience,” Tran says.
Most AI tools ask a company to bend around the product. Leapforce works the other way. Its customized AI agents are built to fit a company’s existing workflows, its team structure, and the way its data is already organized.
Teams also do not start from a blank screen. Leapforce ships a searchable catalog of more than 130 specialist agent templates covering industries and business functions. A team picks a proven pattern, connects it to the tools already in use, then customizes it through chat. Most of that work happens in the same chat window the agent will eventually run in.
Leapforce.ai pre-builds more than 130 agent templates across industries and business functions.
The catalog spans HR, Operations, Sales, Marketing, Research, Customer Service, Management across industries. Besides, Leapforce also has another key advantage: Customer Experience 360 AI Agents. These agents sit between customers and businesses, helping enterprises understand customer needs, spot opportunities, increase revenue, and build stronger relationships through better service and satisfaction.
No technical background is required. In practice, the person who builds an agent is the one who runs the process every day and already knows which step wastes the most time.
Underneath, model routing sends each task to the cheapest model that can handle it, a practice Leapforce says cuts AI spend by as much as 90%. Enterprise-grade security and governance keep data, agents, and workflows inside the company’s own controls.
From Shadow AI to a Governed AI Workforce With Professional Support
The problem Leapforce.ai attacks is not really automation. It is fragmentation. Employees are already using personal AI accounts to summarize files, draft messages, research accounts, and cut down routine work. That helps the individual and creates “shadow AI” at the same time: sensitive workflows running outside approved systems, where leaders cannot measure usage, security teams cannot review the work, and no department can reuse what another one built. There is a sharper version of the same problem. When an employee leaves, the agent and everything it learned walk out with them. Leapforce turns those scattered efforts into company-owned assets, so the knowledge stays with the company.
Until now, the market has mostly offered two bad options. Consumer AI tools are easy enough that anyone can start using one in an afternoon, which is exactly why they end up holding company data with no oversight. Enterprise-grade platforms fix the oversight problem and then hand the keys to a technical team, leaving the people who understand the business furthest from the tools meant to serve it.
Leapforce.ai refuses that trade-off. Company knowledge, ready-to-use templates, built-in one-on-one training, and professional support sit in the same place, so an employee can build and launch an agent without filing a ticket first. What starts as one person’s fix then gets versioned, permissioned, and handed to the next team, turning individual AI solutions into shared capabilities.
In-app guidance, live webinars, and one-on-one sessions are part of the product, not afterthoughts bolted on at renewal. Most AI programs stall in the same place: right after the demo. Everyone understands the pitch. Nobody knows which task to automate first, how to write instructions an agent will follow, or what to do when the output drifts three weeks later. Leapforce answers those questions in live sessions, with a person on the other end.
For leaders, the case comes down to repeatability. One employee saving two hours a week makes a good anecdote. An enterprise needs that result to survive that employee’s departure. Leapforce gives companies reusable workflows, governed connectors, and centralized cost visibility in one place, so the workflow someone built in March is still running, and still auditable, in November. It also gets IT and security out of the position of saying no by default.
Across 2026 the enterprise conversation has moved from curiosity to procurement. Boards want to know what AI takes off the cost line and what it adds to capacity. The same meeting then turns to data ownership, permissions, audit trails, and payback period, and a vendor that cannot answer both sides of that gets shown the door. Leapforce.ai was built for both from the start.
There is a quieter part of this that rarely makes the slide deck. AI rollouts make people nervous. Employees read every announcement for a hint about whether the tool is arriving to help them or to replace them. Leapforce’s answer is to hand them the controls. When someone describes a workflow in plain language and watches an agent take the tedious half of the job off their desk, the technology stops being a mandate from above. Resistance turns into requests.
Kelvin Tran’s argument is a simple one. Almost every company already has an AI workforce. Almost none of them can say where it runs, who owns it, or what it touched last week. Leapforce.ai is a bet that fixing this does not require choosing between a tool people will use and one the security team will approve. Getting both into a single operating model is the hard part, and it is what enterprises will be testing vendors on as agents move from drafting emails to touching customer records and payroll.
About Leapforce.ai
Leapforce.ai is an AI platform for enterprises that gives teams customized AI agents to build out an actual AI workforce, not just a chatbot bolted onto existing tools. It comes with over 130 prebuilt agent templates spanning HR, Operations, Sales, and more, so teams aren't starting from a blank page, plus a dedicated line of Customer Experience 360 AI Agents, a secured platform, governed workflows, and centralized cost visibility across every agent in use. Leapforce backs this with built-in training and hands-on professional support, helping enterprises actually stand up and run an AI workforce.
Additional information is available at leapforce.ai, and the company can be followed on LinkedIn. You may also contact them via [email protected].
Contact Info:
Name: Kelvin Tran
Email: Send Email
Organization: Leapforce.ai
Website: https://leapforce.ai/
Release ID: 89202435
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