Source, location, household characteristics, project context, timing, and other signals shape the opportunity.
ML-powered sales assignment
Lithium Six
Win more appointments without buying more leads.
Lithium Six evaluates every eligible sales agent for each appointment and recommends the pairing with the strongest predicted chance of winning, directly inside the CRM workflow your team already uses.
More value from existing demandImprove conversion before increasing media spend
Built into the CRM workflowRanked recommendations where assignment happens
Evidence before commitmentComplimentary integration and historical evaluation
One appointment. Every eligible agent evaluated.
Instead of treating available agents as interchangeable, Lithium Six scores the specific appointment-agent pairing and returns a ranked recommendation your team can act on.
Incoming appointment
Residential roof replacement
- Lead source
- Google Ads
- Location
- Los Angeles, CA
- Appointment
- Tomorrow, 2:00 PM
Eligible agents rankedModel output
- 1Agent BRecommended match
- 2Agent CPredicted win rate
- 3Agent APredicted win rate
- 4Agent DPredicted win rate
Recommended assignmentAgent B+9.5 points over the next-best eligible agent
Historical outcomes reveal the combinations of prospects and situations where each agent is strongest.
Lithium Six scores the appointment-agent combination so dispatch can choose with more information.
From CRM history to a live recommendation.
01CRM historyAppointments, agents, outcomes, and prospect context
02Client-specific modelPatterns tested, trimmed, and validated against held-out outcomes
03Ranked agentsLive guidance returned inside the assignment workflow
Connect the history
Map appointments, assigned agents, outcomes, and relevant prospect context from your CRM.
Test the signal
Compare model approaches and retain only the agent and prospect patterns that improve prediction.
Validate the opportunity
Backtest model-guided assignment against historical outcomes before recommending a launch.
Recommend in real time
Rank every eligible agent when a new appointment enters the existing assignment workflow.
Create more revenue from the demand you already paid for.
No additional leads. No additional media spend. Lithium Six improves the decision that happens after demand is created: which eligible agent should receive each opportunity.
Calculate Your OpportunityAssignment impactSame 100 appointments
Current wins23
+Wins added7
=Optimized wins30
Additional booked revenue+$105,000Based on a $15,000 average contract
More output from the same lead volume.
Evidence before rollout
Prove the opportunity before changing the workflow.
We begin with a complimentary data integration and historical evaluation to determine whether your CRM contains a credible assignment signal.
You see the opportunity, the limits, and the operating requirements before deciding whether to deploy.
01
Data-readiness auditConfirm the CRM contains enough reliable appointments, outcomes, agents, and prospect context.
02
Find the strongest predictive approachEvaluate multiple approaches and identify the model that best balances ranking performance and reliability.
03
Historical opportunity estimateQuantify how model-guided assignment could have changed prior outcomes under realistic constraints.
04
A clear recommendation for moving forwardReview the evidence, limits, operating requirements, and expected value before deciding to deploy.
Confidence before launchLaunch only when the evidence supports it.
Built for real sales operations.
Live routing decision Engine ready
01
Appointment receivedRoof replacement Tomorrow, 2:00 PM
02
Eligibility applied
12 activeTerritory matchedAvailability checked
03
Recommendation returnedAgent B 38.6% predicted win rate
Outcome capturedPerformance refreshed
Embedded at assignment
Recommendations appear where the team already assigns appointments, without replacing the CRM.
Controlled by your rules
Availability, territory, eligibility, and preferred-agent constraints determine who can be recommended.
Current performance matters
Recency-aware models respond as agent strengths, team composition, and market conditions change.
Value stays measurable
Track recommendation usage, assignment alignment, win rate, and revenue movement after launch.
A practical sales-performance lever
Put today's strengths to work.
Lithium Six improves the assignment decision without requiring every representative to learn a new way to sell first.
How can Lithium Six help without buying more leads?
Lithium Six by Isotope Labs uses your historical outcomes to rank eligible representatives for each opportunity. It helps you make more informed use of the team and demand you already have, rather than relying only on rotation or a company-wide rep leaderboard.
How quickly can we put recommendations to work?
Recommendations can be used after data integration, evaluation, and live setup are complete. There is no need to wait for a team-wide training cycle. Launch timing depends on data readiness; measuring close-rate and revenue changes depends on your sales cycle and recommendation adoption.
What evidence will we see before launch?
Complimentary integration and backtesting evaluate your own historical data. Isotope Labs walks you through the model summary, deeper analysis, and backtesting findings so you can assess the opportunity before deciding to launch. Live reporting then tracks usage and sales outcomes.
Does this replace sales coaching or lead scoring?
No. Coaching builds selling skills, and lead scoring prioritizes opportunities. Lithium Six addresses a different question: which eligible representative is the best match for this opportunity? These approaches can work together.
Complimentary fit review
See what your historical data says.
We will evaluate data readiness, compare model approaches, estimate the assignment opportunity, and explain whether the evidence supports moving forward.
- Representative CRM data integration
- Historical model evaluation
- Plain-language opportunity review
- Clear launch recommendation