Applied AI
AI that produces a next move, not another dashboard
Applied AI means the work reaches the person who has to act. Next Quarter unifies the context you already own, interprets what changed in your market, and hands each team a specific, explainable recommendation.
How it works
Four stages, running continuously against your accounts rather than as a quarterly exercise.
01
Unify
CRM records, documents, meeting notes and product usage are connected into one current picture of every account.
02
Interpret
External movement — leadership changes, initiatives, financial shifts, buying momentum — is read against that picture.
03
Recommend
Each account gets a prioritised next move with the stakeholder, the angle and the evidence behind it.
04
Act and learn
Recommendations appear in existing workflows, and outcomes feed back into what gets prioritised next.
How we handle your data
Enterprise revenue data carries obligations. These are the principles we hold to.
Your data stays yours
Customer data is never used to train shared or third-party foundation models.
Tenant isolation
Each customer's context is isolated, with access scoped to your own users and permissions.
Explainable output
Every recommendation carries its sources so a seller can judge it rather than trust it blindly.
Governed rollout
Security review, access controls and audit expectations are part of onboarding, not an afterthought.
What changes when AI is applied to the workflow
Aggregated across enterprise deployments. Ranges vary with data readiness and scope.
Pipeline coverage
18%average lift in qualified pipeline coverage on prioritised accounts
Research time saved
6 hrsof account research time saved per seller each week
Time to adoption
60 daysto measurable adoption inside existing revenue workflows
The rest of the family
Applied AI across the revenue organisation
The same context layer, pointed at a different function's workflows.
Applied AI for Sales
Account movement becomes a specific next move for the owner, delivered in the CRM.
ExploreApplied AI for Marketing
Signals become live segments, plays, account-based content and routed demand.
ExploreApplied AI for Finance
Variance is explained in account terms, reconciled and auditable.
ExploreSee what Q-Pilot can uncover. Your first account is on us.
We will use your real accounts to show the context you already own, the signals you are missing and the next moves your teams could be acting on this quarter.