AI Agents for Sales
Sales reps spend less than 30% of their time actually selling. The rest goes to updating CRM records, researching prospects, writing emails, and qualifying leads that go nowhere. AI agents handle the busywork so your team closes more deals.
The Problem
Your pipeline is full of unqualified leads and your reps are drowning in admin. A typical B2B SaaS rep writes 40 custom outreach emails a day, each requiring 10 minutes of research on LinkedIn, the company website, and recent funding news. After every call, they're supposed to log notes in Salesforce, update the opportunity stage, schedule follow-ups, and set next steps. Most reps do 60% of this and skip the rest. The best reps do it fast. Average reps give up by Wednesday. Meanwhile, inbound leads sit in a queue for 18 to 36 hours waiting for an SDR to score them, even though lead value decays exponentially after the first hour. Forecasts are wrong because Salesforce data is stale: deals marked committed are actually dead, deals marked stalled are actually closing. Sales ops spends 20% of their time running data hygiene scripts. The real cost isn't the admin time. It's that your top quota attainers spend 7 hours a day on work they hate and leave within 18 months for a company that sells their time better.
How AI Agents Solve It
A Claude Sonnet 4.5 agent sits across your inbound funnel, your CRM, and your reps' calendars with four tools: a scoring tool against your ICP model, a research tool hitting LinkedIn Sales Nav, company websites, Crunchbase, and news APIs, a write tool for Salesforce or HubSpot, and a Gmail or Outlook send tool. On every inbound lead, the agent scores against your ICP criteria within 5 minutes, pulls a company brief, identifies likely pain points based on industry and role, and drafts a personalized outreach email. The rep reviews and sends with one click, or configures auto-send for high-confidence segments. After every Zoom or Gong-recorded call, the agent transcribes, summarizes, extracts next steps and stage changes, and writes them back to Salesforce. Forecasts update in real time from actual call content instead of whatever the rep remembered at end-of-quarter. For cold outbound, the agent runs sequences on Outreach or Apollo with messages personalized per prospect.
How It Works
Lead Scoring and Research
New inbound leads hit the scoring pipeline within 5 minutes of form submission. The agent queries your ICP criteria (company size from ZoomInfo, industry, tech stack from BuiltWith, funding stage from Crunchbase, hiring patterns from LinkedIn), assigns a score, and pulls a prospect brief covering recent news, product launches, leadership changes, and likely pain points inferred from role plus industry plus public signals. High-score leads route to an SDR immediately with the brief attached. Low-score leads route to nurture. Failure modes: if enrichment data is unavailable, the agent scores with what it has and flags the gap rather than scoring zero or skipping.
Personalized Outreach
The agent drafts email sequences and call scripts tailored to each prospect's industry, role, company situation, and likely pain points. A VP Engineering at a Series C fintech gets different messaging than a CFO at a private equity portfolio company. Drafts reference a specific recent event (funding round, product launch, hiring wave) and propose a specific hypothesis about why the prospect would care. Reps review and send, or configure auto-send for high-confidence segments. Outreach or Apollo sequences run the cadence. Failure modes: if personalization signals are thin, the agent falls back to a cleaner segment-level message rather than fabricating specific references that aren't true.
CRM Hygiene and Follow-up
After every Zoom call (Gong or Chorus transcript), Teams call, or logged meeting, the agent processes the transcript, summarizes key points, extracts next steps and commitments, detects stage changes, and writes to Salesforce or HubSpot through API. Opportunity stage, close date, amount, competitors identified, and custom fields update in near real time. The agent flags deals going cold (no activity in 7 days on an active opp, executive sponsor disengaged, pricing pushback without resolution) and suggests intervention. Failure modes: when the transcript is ambiguous about commitment (the prospect said we'll circle back), the agent writes soft commitment with a verbatim quote rather than marking it as a firm next step.
What You Get
Qualify leads in minutes
Every inbound lead gets scored, enriched, and researched within 5 minutes of form submission. No more 24-hour SDR response delays that let hot leads go cold. High-value leads route to the right AE immediately with a full brief. One B2B SaaS client saw inbound-to-meeting-booked conversion rise from 8% to 19% in the first quarter after cutting response time from 36 hours to under 10 minutes.
Personalized outreach at scale
Each prospect gets a message that references their specific situation: a recent funding round, a product launch, a role change, a technology adoption signal. Reply rates on personalized sequences run 2 to 4x higher than templated sequences. A sales team sending 5,000 outbound emails a week can't hand-personalize at that volume. The agent can, and the quality holds because personalization is grounded in actual signals, not invented.
CRM data you can trust
Deal stages, contact activity, next steps, competitors, and close dates update automatically from actual call content. Forecasting accuracy improves because the data reflects what actually happened, not what reps remembered at end-of-quarter. One RevOps team stopped running weekly pipeline hygiene scripts because the agent handles the hygiene continuously. Board forecasts moved from 65% accurate to 88% accurate within two quarters.
More selling time
Reps reclaim 12 to 15 hours a week that previously went to research, email writing, and CRM updates. For a 20-person sales team, that's 240 to 300 hours a week going directly into conversations, demos, and closing. Individual rep productivity (meetings per week, pipeline added per week, closed-won per quarter) typically rises 25 to 40% within the first two quarters. Top performers stay because the job is finally about selling again.
Implementation
Timeline
3-phase, 4-6 weeks total: Week 1 discovery and integration plan, Weeks 2-4 build and evals, Weeks 5-6 shadow mode and cutover.
Human in the Loop
Reps approve every email to a new-logo enterprise account before send. Auto-send is limited to configured warm segments (trial signups, known-customer expansion, inbound demo requests) where the risk of a bad message is low. Pricing discussions, proposals, and contract redlines always require rep review. Stage changes for deals above $100K ARR require rep confirmation before the agent updates Salesforce. Forecast changes above a configurable threshold route to the rep for approval. All scopes are configurable per segment and reviewed with sales leadership monthly.
Stack
Integrations
Frequently Asked Questions
Does the AI agent send emails on behalf of reps?+
How does lead scoring work?+
Will it work with our CRM?+
How does it handle prospects in different industries?+
What happens when the agent isn't sure? Does it just guess?+
Who owns the decision if the agent gets it wrong?+
How long until we see ROI?+
Can we audit every decision the agent made?+
Ready to put AI agents to work?
We build production-grade AI agents for your specific workflows. Most projects go live in 4-6 weeks.