Flight Log

Our AI voice agent was taking 950 milliseconds to reply, nearly 5x slower than people respond to each other, and buyers heard that pause as hesitation. Francisco Izaguirre on our engineering team explains how we found the hidden delay, fixed it, and taught the agent the timing great reps use without thinking.

There's no final playbook for growth, so we're reintroducing 11x to give revenue teams room to experiment, learn, and try again, with agents that turn more of their ideas into pipeline.

When a GTM team with a working outbound motion decides to scale, the plan usually amounts to more. More emails, more campaigns, more prospects. Then the volume goes up and things start breaking. Deliverability slides, reply rates drop, new campaigns take longer to build than anyone budgeted for, and the infrastructure bill grows a personality of its own. None of this is bad luck. Across hundreds of deployments, we see the same four mistakes break working motions at scale. In our own customer conversations, deliverability and spam risk is the single most common implementation fear GTM teams raise before they even start. Here is what actually goes wrong, and how to fix each one while it is still cheap to fix.

Nearly every GTM team has adopted AI agents at this point. 87% of sales organizations use AI for prospecting, lead scoring, and drafting emails, and 88% of marketers use it daily. The interesting question is no longer "should we deploy agents." It's the one I hear on almost every customer call once the first campaigns have proven out: "this is working, so what now?"

a16z came in and asked me to walk through how we actually run 11x internally, function by function. Here is the whole stack.

AI agents don’t need a spotless CRM to work. They verify key fields at outreach, enrich bad records, and clean CRM data while generating pipeline.

AI GTM agents aren’t magic or useless. They work when trained, managed, and applied to the right tasks, augmenting teams and scaling pipeline without more headcount.

Inbound leads are your warmest prospects. The question is whether your salespeople are set up to close deals before someone else does.

ABM works because it treats high-value accounts as individual markets. The challenge has always been doing that at scale. AI is what finally makes it possible.

Your sales team has limited time. Lead qualification helps them spend it on the right prospects..

Your pipeline is only as strong as the leads flowing into it. Here’s how the best B2B marketing and sales teams generate, qualify, and convert high-quality leads at scale.

The wrong AI sales assistant costs you more than money. It can cost your team time, pipeline, and deals that slip while you’re waiting on an AI tool that doesn’t work with how you sell.

Choosing the wrong AI sales agent doesn’t just slow down your GTM motion. It also costs you qualified leads, pipeline, and revenue.

The leads already in your CRM are some of the most valuable prospects you have. They already know who you are. Here’s how to bring them back.

Your competitors are already using AI to automate outreach, qualify leads, and close deals faster. Here’s what they’re using and how to choose the right tools for your team.

SDRs spend 10 hours a week selling. They spend 30 on everything else. Here's where the time actually goes, what it's costing you, and the math on getting it back.

Was Khan, 11x's Head of Customer Success, shares the four questions every GTM leader should answer before buying AI. Most skip them. The ones who don't see results the fastest.

Fix inbound with automation: instant follow-up, better lead qualification, and persistent nurturing—without adding headcount or losing leads.

Will AI replace sales jobs? Not likely. Learn what GTM leaders actually use AI SDRs for, the real problems they solve, and whether AI SDRs are right for your team.

Sales teams close deals. Digital workers handle everything else. While reps focus on high-value conversations and negotiations, AI-powered agents qualify leads, schedule meetings, and keep the CRM up to date. The result? More pipeline, faster velocity, and measurable ROI without adding headcount.

The debate isn't AI SDR versus human SDR. It's how you combine both to build a sales machine that converts more leads, closes more deals, and scales without burning out your team.

AI phone agents can answer many phone calls at once, qualify leads in real-time, and book appointments 24/7 without human supervision. They combine conversational AI with enterprise-grade telephony to automate inbound calls and outbound calls at scale. These AI-powered systems transform how businesses manage customer interactions.

Traditional GTM strategy relies on manual workflows and guesswork. AI GTM replaces this with real-time decision-making, AI-powered automation, and digital workers that run go-to-market workflows at scale while your GTM teams focus on strategy.

Sales teams spend 65% of their time on non-selling activities like data entry, research, and follow-ups. AI for sales teams automates these time-consuming tasks, so sales reps can focus on building relationships and closing deals. This framework shows how to implement AI sales tools that deliver measurable results.

Sales automation platforms eliminate repetitive tasks that can take 65% of a sales rep's time. AI sales automation goes further by applying artificial intelligence to optimize the entire sales process in real-time. Modern go-to-market teams use AI-driven workflows to streamline outreach, prioritize qualified leads, and close deals faster while reducing headcount requirements.

Sales automation software eliminates time-consuming manual tasks like data entry, follow-up emails, and lead scoring. Traditional automation platforms execute predefined workflows. AI-powered solutions learn from customer interactions, optimize in real-time, and adapt to changing sales pipeline dynamics. This article compares approaches so you can decide which one fits with your sales process.

AI voice agents handle phone calls autonomously and have natural conversations without human intervention. These AI-powered systems use speech recognition, natural language processing, and voice synthesis to answer questions, qualify leads, and schedule appointments. AI voice agents are used across industries from healthcare to financial services.

AI sales tools automate repetitive tasks and optimize sales workflows. This guide compares the 15 best AI-powered platforms for revenue teams in 2026.

Conversational AI helps machines understand human language and respond naturally through text or voice. These AI-powered systems automate customer interactions, reduce wait times, and provide personalized experiences across channels from AI chatbots to AI voice agents.

11x deepens its enterprise AI mission by joining IBM’s Agent Connect, enhancing interoperability and sales automation in watsonx Orchestrate.

The ultimate 2025 guide to AI sales automation: criteria-driven comparisons, ROI insights, and tools reshaping prospecting, engagement & pipeline accuracy.

Discover how digital workers are improving go-to-market (GTM) strategies. From sales automation to lead generation, learn how your team can scale faster with digital workers.

Closed-lost doesn’t mean closed forever. Learn how to use Alice, your AI SDR, to reengage and revive past deals with strategic filters, updated data, and targeted outreach.

Here’s how to turn event follow-ups into pipeline accelerants—with Alice leading the charge.

The strategic partnership introduces 11x’s Alice and Julian AI Sales Agents to IBM customers everywhere.

Discover Julian, the AI-powered digital worker improving inbound sales. Instant follow-up, real-time qualification, and 24/7 lead conversion, all without human delay.

Discover Alice, the pioneering digital worker transforming sales with AI. Automate outreach, personalise messaging, and scale your pipeline.

11x has secured a $24 million Series A funding round led by Benchmark to accelerate the development of our AI-powered digital workers, expand our global footprint, and accelerate us towards our mission of unlocking human productivity at scale.