The Revenue AI Reality Check
What’s Working, What’s Not, and What Comes Next
Every revenue team has bought into AI. Far fewer can point to the number it moved. Fifteen senior revenue leaders, one hour, comparing what has actually worked, what quietly hasn’t, and where this goes next.
Hosted by Gong
The buying was the easy part
Buying revenue AI was the easy part, and it was never where the value sat.
The opportunity now is AI that moves the number: forecasts you can run the business on, coaching at scale, pipeline you can trust, not just another activity dashboard.
Getting there is a leadership question as much as a data one, and most teams are working it out as they go.
Where it gets hard
Adoption, not access
The tools are bought and barely touched, or used only by the three reps who never needed the help.
Trust in the forecast
An AI forecast only helps if you will run the business on it. Most teams still run two numbers side by side.
The data underneath
An agent is only as good as the conversations, CRM and context beneath it, and most of that is patchy.
Demo versus the number
Plenty impresses in a sandbox and never reaches the board pack.
A candid peer exchange, not a pitch
Sixty minutes, off the record under the Chatham House rule. You do most of the talking. Nothing is attributed and nothing is recorded, so people say what actually happened, not the version that goes in the case study. Gong moderates, it does not present.
What the table works through
Four questions. Everyone answers them for their own revenue team, out loud, and hears how fourteen peers answered differently.
What's actually working?
Where revenue AI has delivered a result you would defend to the board, from forecasting time to coaching at scale to cleaner pipeline data, and how you separate real gains from vanity metrics.
What's not working, and why?
Where it stalls: rep adoption, trust in AI-generated forecasts, patchy data, and tools that look transformative but never move the number.
What do you hand to an agent, and what stays human?
Where agentic revenue work is real and where it is still hype, which parts of the sell and the forecast you would let AI run, and where a human stays accountable.
What comes next, and how do you get there?
The data foundations, governance and sequencing that make this add up instead of sprawl, and how to measure the return honestly.
Build your own day across the event
aiblLIVE runs as five pillars, one for each function where AI is landing, plus a strategy layer.
Follow the one that matches your remit, or move across them and build your own day.
Customer
Chief Revenue Officers, VPs of Sales, Sales and Revenue Operations leaders, and Heads of Sales Enablement.
Explore the Customer trackEfficiency
COOs, CFOs, Chief Transformation Officers, VP Operations and Operational Excellence leads.
Explore the Efficiency trackAI Infrastructure
CIOs, CTOs, CDOs, Chief AI Officers, Heads of Data and AI Governance.
Explore the AI Infrastructure trackTransformation
CEOs, MDs, founders and Heads of AI or Transformation with the mandate across the business.
Explore the strategy layerPractical, hands on AI adoption
aiblLIVE is a working day, not a spectator sport.
A handful of formats carry the day, each with a clear job, and your pass is the whole event: follow one track end to end, or move freely across all five tracks and every format and build your own day. You are never tied to a single track.
At the centre is the Discovery Zone, the working hub that runs from the first coffee to the closing drinks.
Operator case studies
15 minutes from leaders who have put AI into production: the problem, the workflow, the result.
Hands-on workshops
45 minutes building with real AI tools on a real business challenge. Bring a laptop, leave with a workflow.
Live demos
Real tools on real data, run by the operators and partners who built them. Ask what worked, what broke and what it cost.
Boardroom roundtables
60-minute closed-door peer discussions under the Chatham House Rule.
Smart Networking
Meet the peers and partners worth your time, in a room that is 78% C-suite, MD or business owner.
Micro-consultations at the Expert Bar
Pre-booked 20-minute one-to-one appointments with specialists, matched to the challenge you bring.
Good to know
Is this a Gong sales pitch?
No. Chatham House rule, peers only, Gong moderating rather than presenting. Their job is to keep the discussion honest and moving, not to sell.
Do I need to be deep into AI already?
No. The room spans revenue teams running AI agents at scale and teams still deciding where to start. The range is the point.
Does the seat include the rest of aiblLIVE?
Yes, an all-areas full-day pass across every pillar, not just the revenue sessions. The roundtable is 60 minutes of the full day.
Who are Gong?
Gong sits on more sales conversations than almost anyone, so the split between the teams getting real return from revenue AI and the teams with an expensive dashboard is a pattern they see every day. Gong runs this table and steers the discussion. It does not present to it.
Gong is the Revenue AI platform used by more than 5,000 revenue teams. Its Revenue AI OS turns sales conversations into structured data and runs forecasting, deal inspection, coaching and outreach through purpose-built AI agents. One customer, Crayon, cut the time spent in forecasting calls by 66 per cent.
Request a seat at the table
Fifteen seats, held by invitation. Request yours and we will confirm the details. If it is not for you, the full-day pass still stands.
