Hire Olli: Your GTM Chief of Staff.
You could build, train and manage a swarm of 75+ agents. Or you could hire Olli: he ramps in a week, captures the instincts of your top reps, and proactively pushes highly-creative plays to fix your at-risk deals. All while building a private ML model of what closes deals.





















One AI hire to get the highest-value work done.
AI was supposed to free up the humans to do the truly strategic work. But if we’re honest:
Leaders are spread thin across 40+ deals
RevOps is sifting through a backlogof 100+ requests
Enablement ships a new playbook… that nobody uses
Revenue teams don't need more tools: they need a chief of staff. One person who can work across every GTM role, and make what should be happening… actually happen.
Olli finds exactly what works in your GTM, then executes it across every GTM role. (Without you having to ask or remind him.)
AI Deal Review
Olli surfaces and fights deal risk before reps even know it's there. Spotting patterns in a dedicated ML model built on your win data, plus 150K+ similar cycles.
Sales Onboarding
No more asking your top reps to do “ride alongs” with new hires. Olli onboards reps in weeks vs. months, with a Living Playbook built on your biggest wins.
Sales Coaching
Olli models out exactly what your top reps do differently, then pushes those paterns to every other rep. While spotlighting major gaps to your leaders.
Sales Execution
Olli runs proactive plays to cut slipped and stuck deals, with pre- and post-meeting work done. All the stuff nobody has the time or creativty for, handled.
Sales Tool Adoption
Cut the tools that don't do the work. Olli replaces or integrates your stack, then shows up where you already work: Slack, your CRM, Claude, and more.
Got questions? We got you.
Scan some quick answers here, or book a time to chat 1:1
HockeyStack deploys a fleet of agents. One per deal, one per account, plus separate manager and analyst agents. Olli is a single agent that handles deals, accounts, and rollups out of one model and one memory. The patterns compound across everything Olli sees, not split across a swarm.
The starting points are also different. HockeyStack came out of marketing attribution and is built around event-stream data. Olli is built around closed-won deal patterns and judgment in the field. Different products for different jobs.
Sybill is an AI sales assistant built for AEs. Strong on call summaries, CRM autofill, follow-up email drafts, and pre-meeting briefs. Olli does that work too. But the center of gravity is different.
Sybill is in the rep's inbox. Olli is in the Office of the CRO. Surfaces risk before the rep knows it's there. Runs plays the rep didn't think to ask for. Rolls impact up to RevOps and leadership. Sybill makes reps faster. Olli makes the whole revenue org sharper.
Gong records and analyzes conversations. Excellent at it. The output is mostly intelligence: dashboards, coaching clips, forecast inputs. Olli starts where Gong stops.
Olli takes the patterns across calls, deals, and motions and executes against them. Pushes the play. Writes the multithread. Surfaces the deal going quiet for a real reason. Most Olli customers already have Gong. They keep both, or they collapse the stack.
Attention is a multi-agent platform with coaching, forecasting, and follow-up agents you configure. Configuration-heavy. Scorecard-led.
Olli works the other direction. One agent, no configuration. Reads your data, trains on your closed-won, and starts running. Day one. The judgment comes from the model, not from you wiring up scorecards.
AI deal execution is the mid-funnel work that closes complex deals. Surfacing what's at risk. Running the plays that move stuck pipe. Multithreading the right contacts. Briefing executives. Writing the business case a champion can carry internally. The work most reps don't have time to do well, and most AI doesn't do at all. Olli is the AI agent purpose-built for it.
Reads your CRM, your call recordings, your enablement library, your last quarter of QBRs, and your win-loss data. Trains a private ML model on your closed-won. Surfaces the at-risk deals before the rep flags them. Most teams see the first plays running by end of week one.



