AI for Sales.

The six workstreams in detail.

1. Lead routing

Inbound lead from anywhere (form, call, chat, email, integration) gets to the right rep in seconds. Priority weighting by source, vertical, deal size, geography, or any criteria you care about.

• Multi-source ingestion: web forms, Zillow, Realtor.com, paid ads, chat, SMS, voice, third-party platforms
• Round-robin or weighted routing across reps
• Priority bumps for high-value or high-intent leads
• Re-routing if first rep does not respond in 5 minutes (the "lead leak" plug)
• Geographic + vertical specialization routing

2. Multi-channel follow-up

Inbound leads typically respond best to multi-touch within the first hour. AI fires SMS + email + voicemail drop in parallel within seconds, then sequences over days if no response.

• SMS first (highest response rate, 30 seconds)
• Email second (more detail, 2-minute delay)
• Voicemail drop third (humanizes, 1-hour delay if no response)
• Day-2 nudge, day-5 break-up, day-14 long-form value, day-30 final touch
• A2P 10DLC compliant SMS so messages always land
• Stops sequence on any reply, hand-off to rep

3. Qualification bots

Conversational AI that asks the qualifying questions your sales rep would ask, before the rep picks up. Saves 60-80 percent of unqualified-lead time.

• Greets every inbound lead within seconds via web chat, SMS, or voice
• Asks 3-5 qualifying questions in your brand voice (budget, timeline, scope, fit)
• Scores against your defined criteria
• Routes hot leads to a human via your preferred channel (Slack, email, SMS, ring)
• Sends cold leads into nurture with appropriate cadence
• Logs everything in CRM with score, full conversation, routing decision

4. Lead scoring

Behavioral and demographic scoring so reps spend time where it pays. Scores update in real time as leads engage (or don't).

• Demographic score: industry, company size, geography, role, budget range
• Behavioral score: pages visited, time on site, return visits, content downloaded, emails opened
• Engagement decay: scores drop if no activity over time
• Re-scoring on every interaction
• Threshold-based alerts: "this lead just crossed 80, ring them"

5. Proposal automation

AI assembles your standard sections, customizes for the prospect's vertical, pulls the right case studies and references, produces a first draft in your brand voice in minutes.

• Modular proposal library: scope sections, terms, case studies, team bios, methodology
• Vertical-specific case study pulling (restoration client = restoration cases)
• Pricing options pre-filled from your scoping conversation
• Branded PDF or PandaDoc export
• Time-to-proposal: from 4 hours to 45 minutes
• Sales lead reviews + ships, AI never sends without approval

6. CRM hygiene

The unsung work. Dirty CRM data kills every downstream sales process. AI dedupes contacts, normalizes phone numbers and addresses, fills missing fields from public sources, flags stale records.

• Dedupe: AI fuzzy-matches across phone, email, name combos
• Normalization: phone numbers to E.164, addresses to USPS format, names to title case
• Enrichment: missing company size, industry, website pulled from Clearbit or similar
• Stale-record flagging: leads with no activity in 90+ days surfaced for review
• Pipeline stage hygiene: AI flags deals stuck in a stage too long

Numbers that move (typical 90-day).

• Response time to inbound: down 98 percent (from hours to seconds)
• Follow-up coverage: up to 98 percent of leads worked correctly
• Lead-to-meeting rate: 2 to 3x
• Time per proposal: down 60 to 80 percent
• Show rate on booked meetings: up 25 to 40 percent (AI reminders drive this)
• Sales rep time on unqualified leads: down 60 to 80 percent
• CRM data quality: from "uncomfortable to look at" to "trustworthy" in 30 days

Common mistakes we see (and fix).

1. Skipping CRM hygiene. Building automation on dirty data is the fastest way to break the trust of the sales team. We always start here.
2. Over-automating outbound. AI-personalized at scale is fine. Mass-spammy "Hi [FirstName]" template-blast emails are not. We refuse to build them.
3. No human in the loop on proposals. AI drafts. Humans send. Always. Proposals are the highest-stakes moment in the sales process; AI alone is not the right risk profile.
4. Trusting platform attribution alone. Sales platforms over-credit themselves. We layer in independent reporting (CRM + call tracking + dashboard).
5. Scoring without thresholds. A score is useful only if it triggers something. "Lead crossed 80? Ring them." Otherwise the score is decoration.
6. Killing the slow-burn leads too fast. Some buyers take 6-12 months. AI nurture without sales rep time is how you stay in mind without burning rep hours.

Related reading.

• AI implementation hub (all four pillars)
• AI for Customer Service (sister pillar)
• AI for Marketing (feeds the sales funnel)
• Lead qualification bot playbook
• Missed-call text-back playbook
• Client case studies with real outcomes