Alight Solutions runs revenue with Clari's AI, saving up to one day per week per person
The problem
Alight Solutions was running revenue through manual spreadsheets and Power BI, which required hours of manual data stitching and left the team with limited visibility into deal health and unable to respond quickly to pipeline risk.
Workflow diagram · grounded in source
1
AI buying signal aggregation
Ai action
Clari's AI brings together all buying signals across all systems and surfaces them in an actionable way for the team.
▾ source quote
“Clari's AI brings together all of the buying signals across all of our systems and surfaces them in a way that is actionable for our team”
2
AI Opportunity Scoring
Ai action
Clari's AI-powered Opportunity Scoring delivers a significant reduction in slipped deals.
▾ source quote
“a significant reduction in slipped deals thanks to Clari's AI-powered Opportunity Scoring”
3
Risk gap surfacing
Validation
Clari's risk indicators enable Alight to surface gaps early, allowing the team to course-correct mid-quarter.
▾ source quote
“Clari's risk indicators enable Alight to surface gaps early on, which allows the team to course-correct mid-quarter rather than after the fact”
4
Deal inspection and escalation
Human review
The team uses Clari to evaluate engagement level, upcoming meetings, and which executive sponsor to pull in for at-risk deals.
▾ source quote
“using Clari, they were able to evaluate what level they were engaged with, when the next meeting was, and what executive sponsor they needed to pull in to secure those deals by the end of the quarter”
5
Marketing engagement flagging
Integration
When marketing spots elevated engagement or account scoring, it flags this in real time.
▾ source quote
“When Alight's marketing team spots elevated engagement or account scoring, it's able to flag this in real time”
6
Revenue Cadence alignment
Output
Clari standardizes recurring Revenue Cadences so every revenue-critical employee is aligned to the same data, actions, and objectives.
▾ source quote
“Clari has streamlined how Alight operates by standardizing its recurring Revenue Cadences to get cross-functional teams on the same page regarding what's already happened and what needs to happen next. Instead of working in disconnected spreadsheets, every revenue-critical employee is …”
Reported outcome
Alight achieved marked improvement in forecast accuracy each quarter, a significant reduction in slipped deals, and saved up to one day per week per person by eliminating spreadsheet workflows, with fewer fire drills enabling focus on strategic execution.
Reported metrics
Forecast accuracymarked improvement in forecast accuracy each quarter
Slipped dealssignificant reduction in slipped deals
Time saved per person per weekup to one day per week, per person
Fire drillsfewer fire drills
Show all 5 reported metrics
forecast accuracymarked improvement in forecast accuracy each quarter
slipped dealssignificant reduction in slipped deals
time saved per person per weekup to one day per week, per person
fire drillsfewer fire drills
administrative work per sales cyclesignificant reduction in administrative work for each sales cycle
Reported stack
ClariPower BI
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Alight achieved marked improvement in forecast accuracy each quarter, a significant reduction in slipped deals, and saved up to one day per week per person by eliminating spreadsheet workflows, with fewer fire drills…
What tools did this team use?
Clari, Power BI.
What results were reported?
Forecast accuracy: marked improvement in forecast accuracy each quarter; Slipped deals: significant reduction in slipped deals; Time saved per person per week: up to one day per week, per person; Fire drills: fewer fire drills (source-reported, not independently verified).
How is this sales ops AI workflow structured?
AI buying signal aggregation → AI Opportunity Scoring → Risk gap surfacing → Deal inspection and escalation → Marketing engagement flagging → Revenue Cadence alignment.
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