ResearchAllego

Allego Report: 77% of Orgs See Revenue Gains from AI

Allego's 2026 research finds 77% of orgs report AI revenue gains, yet 63% remain in early adoption. Key findings for CI and enablement teams.

6 min readPublished 2026-06-17

What happened

On June 11, 2026, Allego released its 2026 AI in Revenue Enablement Report, a survey-based study of 318 revenue enablement leaders across sales, marketing, enablement, and customer success functions. The research, conducted by independent agency TrendCandy, delivers a comprehensive look at how organizations are deploying AI across revenue workflows — and reveals a persistent gap between early results and organizational maturity.

The headline finding: 77% of surveyed leaders report that AI has already delivered measurable revenue gains. An even larger share — 88% — plan to increase their AI investment over the next 12 months. But the data also reveals that 63% of organizations remain in the initial stages of AI adoption, applying AI to existing workflows rather than rethinking how revenue teams operate. The result is a market where the majority of organizations are seeing returns from AI but few have moved beyond incremental automation to systemic transformation.

The report covers AI adoption across sales enablement, coaching, onboarding, marketing pipeline contribution, and the emerging category of agentic AI — autonomous systems that recommend actions, assign training, and trigger follow-up tasks without human intervention. It includes data on adoption rates, perceived impact, and the organizational dynamics shaping AI deployment across revenue teams.

Why it matters for practitioners

For competitive intelligence and enablement practitioners, the Allego report provides both validation and a warning. AI is delivering measurable results — but the gap between early-stage and advanced adoption suggests that most organizations have significant unrealized potential.

1. Revenue impact is no longer theoretical. With 77% of leaders reporting revenue gains and specific outcomes including up to 50% shorter sales cycles and 45% higher win rates, AI's contribution to revenue performance is moving from pilot-stage promise to documented reality. For CI teams that supply competitive intelligence to sales organizations, this creates a new expectation: intelligence workflows should be AI-accelerated, not manually curated. Teams still delivering competitive insights through static documents and periodic briefings risk falling behind organizations where AI dynamically surfaces intelligence in the flow of work.

2. The coaching transformation is well underway. Eighty-four percent of respondents report that AI-driven coaching tools have improved coaching quality, and 83% say AI has reduced onboarding time for new sales reps. For competitive enablement programs, this means that AI coaching is a proven delivery channel for competitive skills development. Rather than relying solely on live competitive training sessions, teams can embed competitive scenarios and objection handling into AI-driven coaching workflows that scale across the organization.

3. Marketing is emerging as an AI enablement leader. A surprising finding: 87% of leaders say AI has increased marketing's contribution to pipeline, and 53% report that marketing plays a leading role in AI-driven enablement initiatives. This shifts the traditional dynamic where enablement was primarily a sales function. For CI practitioners, it suggests that competitive intelligence needs to serve marketing teams as aggressively as sales teams — particularly for competitive content creation, positioning, and campaign differentiation.

4. Agentic AI is the next frontier, and early adopters are pulling ahead. Fifty-six percent of respondents report using or piloting agentic AI systems — autonomous agents that go beyond providing information to actively recommending actions, assigning training, and triggering workflows. Early adopters report higher adoption rates because "the AI does the work, not just the thinking." For revenue intelligence teams, this represents the next evolution: AI that not only surfaces competitive signals but acts on them autonomously.

Key details

  • Report published: June 11, 2026
  • Methodology: Survey of 318 revenue enablement leaders across sales, marketing, enablement, and customer success
  • Research partner: TrendCandy (independent research agency)
  • Revenue impact: 77% report AI-driven revenue gains
  • Investment plans: 88% plan to increase AI investment in the next 12 months
  • Adoption maturity: 63% remain in early stages of AI adoption
  • Coaching quality: 84% report improvement from AI-driven coaching
  • Onboarding: 83% report reduced onboarding time
  • Sales effectiveness: 80% report improved rep effectiveness
  • Sales cycles: 73% report shortened sales cycles; top performers report up to 50% reduction
  • Win rates: Top adopters report up to 45% higher win rates
  • Marketing pipeline: 87% say AI increased marketing's pipeline contribution
  • Agentic AI: 56% are using or piloting agentic AI systems
  • Content generation: 83% of marketing leaders say AI accelerates content creation

Market implications

The Allego report, read alongside Mindtickle's State of Agentic Revenue Enablement Report published the same week, paints a consistent picture: AI is delivering measurable revenue impact through enablement workflows, but most organizations are still in the early innings. The 63% of teams in early adoption stages represent both a risk and an opportunity for CI practitioners.

The risk is that competitive enablement programs that do not integrate AI will be outpaced by competitors that do. When 77% of organizations report revenue gains from AI-powered enablement, choosing to stay manual is a competitive disadvantage, not a conservative strategy.

The opportunity is that the maturity gap creates space for CI teams to lead AI adoption within their organizations. Competitive intelligence is inherently data-intensive, time-sensitive, and distribution-dependent — exactly the characteristics where AI delivers the most leverage. Teams that embed CI workflows into AI-powered coaching, content generation, and agentic systems can position the CI function as a strategic driver of revenue performance, not a support function.

For CI teams supporting sales organizations, the practical implication is to evaluate how AI enablement tools can serve as delivery channels for competitive intelligence. AI coaching can deliver competitive objection handling at scale. AI content generation can produce deal-specific competitive briefs in real time. Agentic AI can surface competitive signals and trigger responses without waiting for a human analyst.

As Allego CEO Yuchun Lee summarized: "Organizations seeing the greatest impact are those that use AI to help marketers create relevant content, enablement teams scale coaching and onboarding, and sellers engage buyers more effectively." For CI teams, the message is that intelligence delivered through AI-powered enablement workflows reaches more people, more often, and with more measurable impact than traditional distribution methods.

Related resources

  • Sales Enablement — how the sales enablement function is evolving with AI
  • Revenue Intelligence — understanding revenue intelligence and its connection to competitive insights
  • CI for Sales Teams — practical guide for delivering competitive intelligence to sales organizations