Give every rep the next best step on every live deal, with the evidence behind it.

We've worked with GTM teams at:

Identify risk + opportunity faster, reveal the next best step throughout every live deal, and connect sales teams + agents to the combined understanding of why you win and lose deals.

What’s closing, what’s slipping, and what needs a next step
While you slept: 6 deals moved stage · 3 at risk · 2 ready to close · 4 meetings prepped
Live
Ask

The Shift

What if, at the end of the quarter, you didn't have to hit reset?

This is what happens when reps and agents share knowledge, and learn from each outcome.

Decision Debt

The compounding cost of decisions made without understanding why they were made or whether they worked. Like technical debt, it compounds silently — every decision the system can’t learn from makes the next one worse.

Learn more about Decision Debt →

01

Falling short of revenue targets

New business unpredictable and expansions unreliable. Hiring more reps, adding more tools, and increasing activity is not leading to the revenue gains forecast.

02

Struggling to find the pipeline

More signals, more campaigns, more lists, but the coverage gap continues to widen. The data is there, but it's not translating into outcomes.

03

Knowledge walks out the door

Top performers carry your revenue number, but why they win is locked in their heads. Reviewing their calls tells you what they did, but the learnings fail to translate to the rest of the team.

04

Time wasted not selling

Researching accounts, finding contacts, updating fields and uploading notes. More time is spent finding information and stitching data sources together, than on revenue generating activities.

05

Unable to explain why you win/lose

Call transcripts, e-mail threads, LinkedIn messages, reports + dashboards; you're drowning in signals, but the operating system can't combine them into scalable outcomes.

06

Revenue system is fragmented

Tools and teams don't talk to each other. Multiple sources of truth, conflicting insights. Adding AI only scales the chaos and division.

01

Coach reps to success on live deals

Smarter decisions made during live deals, with guidance from agents knowing the next best action, and capable of demonstrating why.

2x

win rates

02

Surface in-market prospects to AEs

Agents build the understanding, the system decides the moment, and reps receive the account with the evidence behind it.

4x

pipeline created

03

Reps + agents know why you win

Codify what works, then surface the right knowledge, at the right time, during the sales process. Everyone knows the best step to take next.

50%

faster new hire ramp

04

Agents own the busywork, reps own the selling

CRM updates, research, drafting and routing handled by agents RevOps defines, so rep capacity scales without hiring.

+40%

increased rep capacity

05

The system learns from every deal

Every won and lost deal is analyzed. The system understands the context, examines the decisions made, and captures the outcome.

30%

shorter sales cycles

06

Centralize your GTM's knowledge

Millions of signals, thousands of records, hundreds of documents - all codified in a single intelligent GTM system, accessible by teams + agents.

>85%

forecast accuracy

HOW IT OPERATES
LIVE deal CONTEXT

Monitor live state on every deal, contextualizing thousands of signals in your pipeline.

The system connects to your activity at source, capturing meetings, calls, emails, web research and social interactions - building context that maps every relationship across your GTM.

>
Connect your GTM tech stack: CRM, Call Recorder, Slack or Teams, and more
>
Capture signals relevant to your GTM across every deal, rep, contact and activity
>
Unify context from disparate data sources into the live state of every deal.
Learn HOW WITH CONTEXT →
ORGANIZATIONAL MEMORY

Codify why you win and lose deals, and deploy it when reps need it.

Centralize knowledge of your process, methodologies, and the skills that are proven to win deals. Establish a single source of truth, accessible to your reps and AI.

>
Analyze win/loss, ICP, stakeholders, objections, qualification + competitors
>
Understand why you win, and what behaviors are driving success
>
Reveal why you lose, and where resource is being wasted
LEARN HOW WITH MEMORY →
CODIFIED SKILLS

Reps + agents know the best next step, the right action, and the impact it has.

Agents detect risk or opportunity, and recommend the best next step during live deals. The right context enables smarter decisions.

>
Identify risk and opportunity based on the factors driving your revenue
>
Enhance rep instinct, with agent reasoning, supported by your GTM evidence
>
Multi-thread, handle objections, position against competitors, negotiate and more, with evidence of what works
LEARN HOW WITH SKILLS →
SALES AGENT

Better, faster decisions, delivered where reps work, with the supporting evidence.

Surface opportunities + recommendations where reps work, when they need it. Build agents to complete repetitive tasks, and focus reps on selling.

>
Enhance everyday activity: prep, debrief, follow-up + pipeline reviews
>
Qualification, competitive intel, and research; automated by agents
>
Define unique skills for repetitive tasks, tailored to your GTM.
LEARN HOW WITH AGENTS →
LEARNING

Every outcome makes the next one better.

Your GTM gets smarter with every closed deal, and each completed activity. The system captures what happened, why, and what can be improved next time.

>
GTM Memory evolves with live outcomes, rather than outdated playbooks
>
Capture the activity of every agent, its reasoning, and the outcome.
>
Agents recommend the upgrades, you control what changes.
LEARN HOW WITH Learning →
BUILT USING THE WORKSPACE
What other system architects are building today.
AGENT
Deal Risk
ActiveLast run · 12m ago
15 open deals scored against Sales Process v11
Stage, exit criteria and velocity checked
Northwind health moved Good to Average
Champion silent nine days since pricing
Two deals single-threaded after a champion change
Matches the stall pattern in win/loss memory
+
Re-engagement play drafted for the account owner
Grounded in what worked on similar stalls
2 deals need your attention today
SEE HOW IT WORKS
AGENT
Pipeline Review
ActiveRuns before every review
15 open deals reviewed for Thursday's call
Health, changes and forecast confidence per deal
Three deals changed since the last review
One improved, two slipped on next-step quality
Two deals stalled in Proposal
Longer than your stage velocity benchmark
+
Focus list assembled and ordered
By what moves the number this quarter
Focus list ready before the meeting
SEE HOW IT WORKS
AGENT
AE Daily Brief
ActiveRuns 7:00 AM daily
Brief sent to every rep this morning
Priority accounts and next best action
Two accounts moved up the priority list
New engagement since yesterday
One meeting still has no agenda set
Two hours out
+
Three follow-ups drafted from yesterday's calls
Grounded in what was promised
3 drafts ready for your approval
SEE HOW IT WORKS
AGENT
Meeting Prep
ActiveRuns 30 min before each call
Brief built for tomorrow's 10:00 with Apex
Attendee research, account context, recent activity
Two qualification gaps surfaced
Budget owner and decision criteria still open
+
Suggested agenda drafted
Ordered around what is unresolved
Prior objection flagged to revisit
Raised on the last call, never closed out
Agenda ready to review before the call
SEE HOW IT WORKS
AGENT
Meeting Debrief
ActiveRuns when the call ends
Call processed minutes after it ended
Transcript, commitments and objections extracted
+
CRM updated, next step booked
Stage notes and stakeholder map refreshed
New stakeholder added to the deal
Technical buyer joined mid-call
Follow-up email drafted
Grounded in what was promised on the call
1 draft ready for your approval
SEE HOW IT WORKS
AGENT
Forecasting
ActiveRuns weekly
Weekly snapshot built from live deal state
Category, confidence and movement per deal
Two deals moved to Commit
Every exit criterion met
One deal pulled from Best Case
Next step slipped twice
+
Forecast judgement logged against the outcome
Accuracy feeds back into the next call
1 category change needs your call
SEE HOW IT WORKS
MEMORY
Sales Process
v11 · latestUsed by 6 agents
+
Exit criterion added to Discovery
Decision criteria confirmed in writing
Velocity benchmark tightened for Proposal
From the last quarter of closed deals
Verbal commitment removed as a stage gate
Slipped more often than it held
15 open deals re-checked against v12
Stage and exit criteria · running now
2 new learnings need your review
SEE HOW IT WORKS
MEMORY
Qualification
LatestUsed by 4 agents
+
Budget-owner question added at Discovery
Deals without it slip at Proposal
Decision-criteria question weighted higher
Strongest predictor across closed-won
Generic pain question retired
Rarely changed the outcome
15 open deals re-checked against the criteria
Gaps flagged before stages advance
3 deals missing qualification criteria
SEE HOW IT WORKS
SKILL
Objection Handling
v9 · latestRuns in live deals
+
“We already pay for ZoomInfo” mapped
Proven response, three deals this month
Security objection response reweighted
Held up in recent evals
Discount-led counter retired
Preceded slips two quarters running
Matched against this week’s calls
Every objection checked · running now
2 unhandled objections need your review
SEE HOW IT WORKS
WORKSPACE
One system, accessible where your reps work.
Platform
The full GTM system, in one familiar workspace.
MCP
Run agents from Claude, ChatGPT, or any MCP client.
Workspace
Alerts and agent actions in Slack, Teams, and more.
CRM
Live state synced to Salesforce and HubSpot.

HOW REVOPS BUILDS SMARTER SALES TEAMS WITH REVENUE LABS

TryHackMe

“We went from debating pipeline every Monday to actually knowing which deals were real. The system caught patterns our best reps couldn’t see - and it gets sharper every quarter.”

3.2x

conversion rate improvement

34%

shorter sales cycles

>85%

forecast accuracy within 90 days

ONE SYSTEM, EACH DEPARTMENT, EVERY AGENT.

RevOps connects each GTM team to one system that shares knowledge, coordinates agents, and learns from every customer + prospect outcome

Reveal accounts entering market, route them into the right channel, and learn which messages drive outcomes.

90dearlier churn signals

What You Get

Detect buying signals that reveal accounts entering market from web research, engagement, and website signals.

Build dynamic segments, campaign angles and artifacts from live customer + prospect context.

Route accounts into channels, alert sales when in-market, and learn which messages are driving outcomes.

EXPLORE MARKETING →

Live context on thousands of high-fit prospects, so prospects arrive already researched, in-market, and understood.

7xpipeline velocity

BUILD MORE PIPELINE

Proactively monitor thousands of high-fit accounts, mapping your entire market in real time.

Agents draft emails, call scripts and messages aligned to the prospect's pains.

Route the best accounts to your reps at the right time, so every deal opens with the context that surfaced it.

Explore PROSPECTING

Every deal is worked with the knowledge of what the last 1,000 taught.

3–5xconversion rates

CLOSE MORE DEALS

Equip every rep before and after meetings with what the system knows works.

The system preps every rep before the meeting and captures the lesson after. Coaching becomes infrastructure.

Turn every meeting into a lesson the whole team improves from, not just the rep in the room.

Explore DEALS

Reveal expansion opportunities and renewal risk as they emerge, then route to your best rep with the evidence why.

200%conversion lift

What You Get

Monitor adoption and risk continuously, with the deal's full context carried into the account, not lost at handoff.

Trigger cross-sell and upsell plays based on proven expansion signals.

Route executive risk as it emerges, and learn from every renewal and expansion.

EXPLORE CUSTOMER SUCCESS →
The Platform

One system that understands, decides, acts and learns.

Every GTM signal flows through an AI-native operating layer into a system that runs on the surfaces your team already uses.

Explore the GTM System →
GTM Data & Knowledge
CRM · Emails · Calls · Marketing · Product · Support · Documents · Research
AI-Native Operating Layer
Context · Memory · Skills · Agents · Decision Traces
AI-Native Sales System
Understand
Deal State
Qualification
Stakeholders
Risk
Decide
Pipeline Review
Forecast
Meeting Prep
Prospecting
Act
Follow-up
Next Steps
Updates
Escalation
Learn
Upgrade ICP
Upgrade Prospecting
Upgrade Sales Process
Upgrade Messaging
Surfaces
CRM · Slack · Teams · ChatGPT · Claude · MCP · API
Output
Briefings · Artifacts · Alerts · Recommendations · Approvals · Actions

BUILT FOR SECURITY, CONTROL and scale

Connect data securely, capture every agent's activity, and enforce permissions with ease.

Learn about our security  →

CERTIFIED + COMPLIANT WITH:

ISO 27001:2022

GDPR

CCPA

Data Protection Act 2018

SEE WHY REVOPS + SALES LEADERS CHOOSE REVENUE LABS

The GTM teams that learn fastest will win.
Build sales a system that learns.

See what AI-native deal management looks like.

FAQ

How Sales Runs in an AI-native GTM System

If it's not here, we'll answer it live.

Talk to us
How is this different from Agentforce, Gong, or other sales AI tools?

Einstein scores. Gong listens. Both leave the deal where they found it. Revenue Labs closes the loop - observes what's happening, decides the next best action, learns from the outcome. Every deal won, lost, or stalled becomes pattern memory the system uses on the next deal that looks the same. AI features bolted on surface signals. Intelligence Infrastructure compounds them.

Will reps actually use this, or is it another tool they'll ignore?

Reps adopt it because nothing changes for them. Deal context shows up in Salesforce. Briefs land in Slack before the call. Prep packs prep themselves in the inbox. No new login. No new dashboard. The tool that wins adoption is the one reps don't realise they're using. Selling time goes up roughly 60% inside the first quarter, because the admin that used to fill it stops being admin.

Does this replace our existing sales process and playbooks?

No, and that's the point. MEDDPICC, your stages, your discovery framework describe what should happen on a deal. They don't capture why the deals that close actually close. Revenue Labs sits underneath your process, learns the patterns your top performers run instinctively, and codifies them. You keep the playbook. The system makes it teachable, so it doesn't walk out the door when your best AE does.

What if our CRM data is messy or incomplete?

CRM hygiene is a side effect, not a prerequisite. Revenue Labs pulls deal context from where the work actually happens: meetings, calls, emails, sequences, product usage — and writes it back to your CRM continuously. The system that captures the signal cleans the record. Reps stop manually logging because nothing they'd log is missing. Data quality stops depending on rep discipline.

Will this work with our complex, multi-stakeholder sales cycle?

That's the use case it was built for, not the edge case it bends to. Stakeholder maps build and re-build themselves as new contacts surface. Champion engagement is tracked separately from economic-buyer engagement. Decision-maker access is flagged the week it weakens, not in the QBR after the deal slipped. The more variables on a deal, the bigger the gap between what your best rep notices and what the system codifies for everyone else.

How does this help with rep coaching?

By telling you exactly where each rep is losing, and what your top performers do differently at that moment. Discovery shallow? Objection handling slow? Stakeholder map weak going into qualification? The system pattern-matches against real deal outcomes, surfaces the gap, and shows an example from a rep on your team who handled it well. Managers stop coaching from gut feel and three-month-old call snippets. They coach from evidence on the deal that matters this week.

Do we need a data science team or engineering resources to maintain this?

No. Integration, modelling, infrastructure; we run all of it. If you want to customise deal scoring, refine win/loss analysis, or change what the system learns from, our forward-deployed engineers handle it for you. No code. No data scientists. RevOps stays focused on go-to-market motions, not pipeline plumbing.

What happens to our win/loss analysis?

It stops being a quarterly retrospective and becomes a live system. Every closed deal, won, lost, or stalled - feeds the loop. The system identifies which signals predicted the outcome, which messaging landed, which stakeholder pattern repeated, which objection killed it. Then it applies the lesson to the next deal that looks the same. If your best rep left tomorrow, the system would still know what they knew.

How does this improve forecast accuracy?

By replacing rep gut and stage progression with deal pattern matching. Every deal scores against the deals that actually closed in your pipeline: stakeholder engagement, deal velocity, objection frequency, champion strength. Deals likely to slip surface before pipeline review, with the evidence already attached. Forecast variance compresses inside 15% within the first quarter. The Friday call stops being a negotiation.

Our reps spend 2+ hours daily on CRM admin. How does this actually eliminate that?

Because the admin work is no longer manual. Meeting notes auto-log. Deal stages auto-update from real signals. Next steps capture themselves. Account records enrich from calls, emails, and sequences without anyone typing. Reps get credit for the work they actually did, without doing the data entry. CRM updates happen automatically and continuously. The 2+ hours come back as selling time.