AI follow-up suggestions inside your inbox
An AE wants AI-recommended follow-up actions tailored to each prospect's engagement state, not generic cadence-based suggestions.
Cadence-based follow-up rules ('day 3: send breakup email') are the default in 2026 sequence tools. They miss the prospect-specific context: a prospect who opened the pricing PDF three times this morning gets the same day-3 breakup as a prospect who has been silent. The cadence treats them identically.
Outsolvi's AI follow-up suggestions are per-prospect. Engagement signals (confidence-scored opens, document time-on-page, reply sentiment) feed a recommendation: who to follow up with today, in what order, with what message angle.
What it does
Surfaces a daily prioritised list of suggested follow-up actions per AE with prospect-specific context: 'Follow up with Sarah at Acme today, she re-opened the pricing PDF twice yesterday, suggest a 15-minute pricing discussion.' Tap-to-draft opens Smart Compose with the suggested context pre-populated.
Why it matters in 2026
- Daily prioritisation is the single AE workflow that determines pipeline conversion
- Generic cadence rules treat every prospect identically and miss the buying-window timing on individual prospects
- Context-aware suggestions accelerate the AE's morning triage from 30 minutes to 5
- Tap-to-draft from suggestion to Smart Compose removes 90 percent of the writing friction
How it works
The recommendation model takes each prospect's recent engagement signals (Tier 1 open count, hot-lead score, last sentiment, days-since-last-touch, document engagement) and produces a recommended action with a confidence score. Recommendations are ranked per-rep daily. Tap-to-action opens the relevant draft surface (Smart Compose with context) or scheduling surface (Calendly suggestion).
Outreach.io and Salesloft have AI follow-up recommendations gated to enterprise tiers. Lavender has AI coaching but not per-prospect follow-up recommendations. HubSpot Sales Hub AI is gated to Pro. Outsolvi's per-prospect AI follow-up is at the $7 base tier.
Use cases for Follow-Up AI
- Morning AE triage: review the 10 prioritised follow-up suggestions before the first call
- Mobile triage during commute: tap-to-action on the top 3 follow-ups
- Manager-level review of AE-side suggested follow-ups to coach prioritisation patterns
- Renewal motion daily review for CSMs
Frequently asked questions
How accurate are the recommendations?+
On internal benchmarks, AE-accepted suggestion rate is 70-85 percent. Reps reject roughly 15-30 percent based on context the model lacks (a phone-call commitment scheduled for later that day, etc.).
Can I configure the suggestion criteria?+
Yes. Per-team configuration controls which engagement signals weight more in the recommendation and which prospects to include or exclude.
Free tools, articles, and glossary entries that share a topic with this feature.
Try Follow-Up AI for free
14-day free trial, no credit card. Follow-Up AI plus the full Outsolvi feature set including all the other features in this category.
Start 14-Day Free TrialWhere this feature is used
Use cases, workflow patterns, and personas that depend on Follow-Up AI.
Other Outsolvi features
Nate built Outsolvi after watching every email-tracking tool he had ever used lie to him about opens. Outsolvi runs Tier 1 to 5 confidence scoring on every open, native in Outlook and Gmail, so the number on the dashboard is one a rep can actually act on.
We update these pages when the underlying mechanics change. new mailbox-provider rules, new tracker behavior, new measurement gaps. The dates above are real revisions, not auto-touches.