The digital workforce is here! Gong has announced the release of new AI Agents that will provide Digital assistants to empower revenue-generating teams. The new agents work within the Gong platform, enabling customers to automate repetitive and time-consuming tasks.
For organisations, it means that they do not have to source their own AI capabilities. Instead, they can leverage these new agents that Gong has created to work within its platform. Each Agent provides specific process automation. Importantly, these new agents are included in the current license fee. Unlike several other firms that have priced Agentic AI usage separately, Gong has taken a bold step here.
It also means that as the AI Agents are built into the Gong platform, the failures that have beset AI projects are less likely to happen. There may still be hurdles to overcome during implementation, but the benefits and extra commissions may well enthuse salespeople who can obtain them through working smarter.
Importantly, the Agents work alongside people, rather than replace them. What it will mean is that salespeople will be able to carry out more tasks and cover more accounts effectively, potentially reducing the number of new hires organisations need to increase revenue.
Amit Bendov, CEO and Co-Founder of Gong, comments, “AI is evolving fast, but much of what’s on the market today is either unrealistic or uninspired. AI isn’t about replacing roles—it’s about freeing people up to do their most impactful work. Gong Agents are purpose-built for revenue teams, empowering them with automation and intelligence that actually moves the needle, without sacrificing the human connections that drive businesses forward.”
Why Gong will make a difference
There are many reasons why AI projects fail. The Project Management Institute highlighted ten reasons why. Most of these will be avoided by buying a packaged Agentic AI solution such as that now provided by Gong.
- AI is not app development or coding; it is data – Gong understands this
- ROI misalignment – There is a clear ROI within the new agents
- Data Quantity – Gong has sufficient access to training data, and the agents will improve over time for each customer
- Data Quality – Gong already invests in making sure that data held on its platform is accurate
- Proof of Concept – Gong has already conducted these in order to bring them to market
- Training Data or real-world data – Gong has the real-world data that gives the agents value
- Resource underestimation – Gong has done the heavy lifting on this and provided a finished product
- AI Maintenance – Gong will continue to evolve its AI models, ensuring that the quality of output is not just maintained but improved
- Falling for vendor hype: This is not about having an add-on solution. It is built into the trusted Gong platform
- Overpromise underdeliver – Gong has a note of caution for its Agents, but early signs are that it is delivering benefits
Andrea Jones, Commercial Sales Planning & Strategy Lead at Boomi, commented, “AI is at the forefront of our business, so integrating AI agents into our revenue strategies is a natural next step,” said, “Gong’s AI agents, built specifically for revenue teams, will give us a competitive edge, ensuring we stay ahead with AI that’s not only configurable but also designed to drive real ROI by seamlessly integrating into our processes and adapting to our unique needs.”
What are the fourteen agents?
Gong has introduced the agents across six categories:
- Capture and organise data automatically
- Enable organisation-wide knowledge-sharing
- Onboard and coach effectively
- Engage and convert customers
- Optimise the pipeline and forecasting
- Make strategic decisions
Each Agent is built into an existing revenue workflow and designed to capture both user and customer interactions to help automate those processes using best practices and data that it can extract for Gong. The workflows do not try to build unique organisation-specific tasks from scratch but the basic fundamental tasks that every revenue team uses.
While the agents automate tasks, they do not work in isolation but bring the human into the loop. This means that adoption is straightforward and resistance is generally low, though Gong provides no evidence of this. If, however, these Agents are quickly deployed, it means the time to value is rapid.
Gong also recognises that every customer has nuanced processes. Using the AI studio, administrators can adjust workflows using a drag-and-drop interface. They can create custom fields to define inputs, outputs, and workflows. The prebuilt templates provide a starting point for each Agent that simplifies the process and reduces the creation time.
The Agents have access to all data that Gong touches, meaning that they get a deeper understanding of every customer interaction to build smarter suggested actions. The data it searches and analyses includes emails, calls, and other interactions. It means that the resulting output is personalised by the customer, helping to improve the result driving productivity, predictability, and growth.
The agents are:
AI Activity Mapper
Automatically maps activities to the right CRM fields to keep your data clean and up-to-date. It will link interactions to the right accounts, contacts, and opportunities, ensuring clean, organised data.
AI Transcriber
The Agent transcribes customer conversations to deliver clear insights and visibility across the revenue team. Importantly, this information will feed into the organisation’s knowledge that the AI understands, enhancing other agents.
AI Briefer
Generates structured briefs to help standardise and streamline knowledge sharing across teams. Within two months, there is enough information for each brief to contain information on accounts, deals and contacts. Early adopters of this Agent are seeing an overall win rate increase of 19%, and for deals over $10,000, teams are seeing over a 40% increase in win rates.
AI Ask Anything
Instantly answer questions on any account, deal, or contact so you can make better decisions. It analyses conversation data to instantly answer questions about deals, accounts, calls, and contacts, providing timely, actionable insights.
AI Call Reviewer
Evaluates rep call performance to help managers quickly surface coaching feedback and uplevel teams. Based on the transcript and outcomes, it will suggest actionable coaching and onboarding insights for reps.
AI Trainer
It will be available later this year and simulate realistic sales scenarios, allowing teams to improve their skills and practice winning techniques.
AI Tasker
AI Tasker surfaces high-impact, actionable tasks so reps spend time where it matters most. The suggested to-do list focuses teams on those tasks with the highest impact and provides the next best action to help drive through opportunities.
AI Composer
Composes effective, personalised, yet on-brand emails that create better customer connections and advance deals.
AI Deal Monitor
Monitors every interaction during a deal and notifies the seller of hidden deal risks, advising actions to improve pipeline health before deals break down. It is able to note where negative subtle deals exist that might not be spotted in time. Perhaps just a few words in a conversation that the seller misses.
AI Deal Reviewer
Evaluate deals based on standard or customer-specific sales methodologies to improve pipeline qualification and enhance forecasting accuracy.
AI Deal Predictor
It predicts the likelihood of each deal closing so you can drive deals to closed wins. It assigns a numeric prediction score to assess deal health and closing. The result is that it helps reps prioritise high-impact deals and focus on changing the deal outcome.
AI Tracker
It tracks revenue-critical signals across conversations for insight into rep behaviour and customer needs. It identifies key moments during conversations, highlights them to reps and helps deliver greater visibility on deal progress and customer behaviour.
AI Theme Spotter
Available later this year, the theme spotter uncovers recurring voice-of-the-customer themes, such as top pain points, common business goals, and objections, across any customer segment. It will also surface insights about competitors and the market in general, though it is unclear how it does this.
Enterprise Times: What does this mean
Gong has refined and made available a comprehensive set of AI agents. What is impressive is that it has decided not to add additional costs to its license. It will be interesting to see whether it can continue to do this or whether related compute costs affect its margins. AI is notoriously power-hungry. Can Gong maintain this pricing model as it scales?
