AI Growth Engine for RevOps

Agentic AI for industrial revenue. Coordinated AI agents capture RFQs, assemble quotes with AI-assisted CPQ, and keep CRM clean so you win faster at better margin.

Typical outcomes

  • Conversion increases two to four times through smarter targeting and follow up.
  • Quote cycle time decreases thirty to sixty percent with automated data pulls and approvals.
  • Realized margin improves with price floors and contribution targets.
  • Attribution becomes reliable across direct, distributor, and OEM channels

How it works

  • Assess the baseline for lead to opportunity, quote time, win rate, realized margin, and channel mix.
  • Deploy a small swarm of agents for RFQ intake, enrichment, routing, and follow up.
  • Use AI-assisted CPQ to read specs and drawings, prefill options, and validate cost and lead time.
  • Keep CRM and product data tidy with agents that deduplicate, tag, and enforce stage rules.
  • Publish a simple scorecard that sales, operations, and finance can trust.

What we implement

  • RFQ capture and enrichment agents.
  • AI-assisted CPQ with guardrails for engineering and pricing.
  • CRM hygiene agents with SLA based routing.
  • Attribution and forecasting tied to product families and channels.

Frequenly Asked Questions

What is the “AI Growth Engine,” in plain terms?
Do we need a specific CRM or CPQ tool for this to work?
How do you prevent AI from generating bad quotes or risky pricing?
What do you need from our team to get started?
How quickly will we see impact, and what does “success” look like?

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