Good morning.
Your best lead this month may be sitting in an inbox right now, unread, behind a stack of vendor pitches and newsletter replies that happened to arrive ahead of it.
Whoever opens that inbox works it top to bottom, so the lead worth $90K waits in the same line as the one worth nothing, and a faster competitor closes the deal you should have had.
Today's issue is the build that ends that.
The Lead Qualification Agent reads every inbound lead, scores it against your real buyer profile, and routes it to the right next step with the reply already drafted.
Full architecture, full prompts, and worked examples for the four business types I see most on this list.
— Sam
IN TODAY’S ISSUE 🤖
Why the first four days decide the deal
The three platform paths, ranked
Filter and Route, the architecture under the agent
The Scorecard: fit, intent, timing
Seven build steps, every prompt inside
The routing board by business type
Hand it to your team without losing control
A speed-to-lead variant for hot leads
Let’s get into it.
Why Build The Lead Qualification Agent
I watched this play out up close last month. A founder I work with runs a $2M agency, and she lost a $90K engagement to a slower competitor whose work was weaker than hers.
The lead had sat in her shared inbox for four days behind nineteen other emails, two of which were vendors pitching her, and by the time someone surfaced it the prospect had already signed somewhere else.
When I asked how leads get handled, the answer was the one I hear most:
Whoever has time opens the inbox, works top to bottom, and replies in the order things arrive.
The whale and the tire-kicker get the same place in line, which means the whale waits. What costs you the deal is usually the four days before the pitch, when a lead that should have been on your calendar by lunch sits buried under noise nobody sorted.
The Lead Qualification Agent makes sure your best inbound lead gets your attention first, and your worst one stops eating your team's morning.
The queue that handles most inbound doesn't know which lead is worth $90K and which is a student asking for free advice. It treats them the same, and the cost is hidden because you never see the deal you didn't get to in time.
That pattern produces three repeating failure modes:
Failure | What it looks like | Why it happens |
|---|---|---|
The slow yes | A perfect-fit lead waits days for a reply and signs with someone faster. | Nobody sorted the queue, so the best lead sat behind the noise. |
The drained morning | Your team spends the first hour qualifying leads that were never going to buy. | Every inbound gets the same human attention regardless of fit. |
The dropped follow-up | A real but not-yet-ready lead gets a polite reply and is never heard from again. | "Not now" leads have no home, so they fall through the floor. |
The Lead Qualification Agent runs against all three. Every lead that comes in gets researched, scored against the profile of your actual best customer, and routed to one of a small number of destinations with the next action attached.
The hot lead reaches you with a brief and a drafted reply.
The qualified-but-self-serve lead gets the booking link without a human touching it.
The real-but-not-now lead gets a warm reply and a follow-up date. The lead that was never a fit gets a courteous decline.
And the one the agent isn't sure about gets flagged for you, with its reasoning, instead of being guessed at.
Three reasons to build it:
It changes inbound from first-come-first-served to best-first. Your attention is the scarcest input in your business, and right now it's being allocated by the order an email client happens to display.
It compounds across every channel at once. Form fills, demo requests, DMs, contact emails, and reply-to-newsletter messages all run through the same scorer, so the sorting logic is consistent no matter where the lead enters.
It makes your buyer profile explicit. Most operators carry their ideal customer in their gut. The agent forces you to write it down, and the act of writing it down sharpens who you sell to as much as it sharpens the agent.
This is also where the Digital Employee frame applies. An agent that reads every inbound lead, researches it, scores it against a written profile, and routes it with a drafted reply is a sales-development hire on your bench.
You manage it the way you would manage one:
A clear job description (the system prompt)
A written definition of who counts as a good lead and who doesn't (the context file)
A short list of allowed actions, with the line drawn between what it sends on its own and what it brings to you (the routing rules and the permission boundary)
A review of where it got the call wrong, fed back in so it gets sharper (the tune loop)
That mental model keeps you from handing the agent more authority than it has earned. Early on it drafts and routes, and you approve the sends. As its accuracy proves out on the routes that matter least, you let it send those on its own and keep your eyes on the ones that matter most.
The Platform Decision (Read It Once, Decide, Move On)
Three serious paths for building the Lead Qualification Agent. Pick one. Run it for thirty days before considering another.
Path | Best for | What you get | What to know |
|---|---|---|---|
Claude Code in Cowork mode | Operators already in Claude | Folder-based context file you can version and edit; full read / write access to a designated folder; scheduled and triggered automations | The path I run on. Lowest setup if you already have a Claude workflow. |
The Codex app | Operators in Microsoft 365, Slack, or Notion | Persistent memory across runs, plugins for the inbox, CRM, and chat tools your leads arrive in | The April release made this a real candidate. Routing decisions stay consistent run over run. |
A CRM-native automation layer | Operators whose inbound already lives in a CRM | The agent runs where the lead record already is, so routing writes straight to the record | Use only if your inbound is already centralized in one CRM. Otherwise the two paths above are faster to stand up. |
Quick Decision Rule
Already in Claude? Use Cowork mode.
Already in Microsoft 365, Slack, or Notion? Use the Codex app.
Inbound already centralized in one CRM with automation hooks? Run it CRM-native.
The architecture below is identical across all three. Only the wiring changes.
The Filter and Route Architecture
The mistake most operators make when they try to use AI on inbound is asking the model to "qualify this lead" with no definition of what qualified means.
The model produces a confident answer, and the confidence is the problem. The output reads like judgment without sitting on any specific standard for who your business is for.
Filter and Route is the structure that fixes that. Every lead enters one stream. Each one gets researched, scored against a written standard, and routed to exactly one of a small number of destinations, each with a next action already prepared.
The decision tree is the load-bearing part. A scorer with no clear routes produces a number nobody acts on. A set of routes with no clear scorer produces guesses.
The architecture has two halves: the Scorecard, which classifies, and the Routing Board, which decides the fate.
The Scorecard
Every lead is scored on three axes, each from 0 to 3. The axes are deliberately few. More axes feel more rigorous and route worse, because they dilute the two or three signals that predict a good customer.
Axis | What it measures | 0 | 3 |
|---|---|---|---|
Fit | How closely the lead matches your written buyer profile (industry, size, role, the attributes that define your best customers) | Clearly outside the profile | Textbook ideal customer |
Intent | The strength of the buying signal in what they said and did | No signal: vague interest, no specific need | Explicit, specific need tied to a real problem they named |
Timing | How soon they're moving | "Someday," no trigger | A named deadline, an approved budget, or an active search right now |
The 0-to-3 anchors are defined per business in the context file, because "textbook ideal customer" means something different for an agency than for a SaaS company. The agent doesn't guess what a 3 looks like. You tell it, with examples.
A few rules keep the Scorecard honest:
Every score needs a cited basis. The agent has to point at the form field, the email line, or the public source that justifies the number. A score with no basis gets treated as a 0.
Fit comes from the profile, not from warmth. A referral from a friend is not automatically high Fit. A warm intro to the wrong-size company is still the wrong-size company.
Intent comes from what they said and did, not from politeness. "Looking forward to learning more" is courtesy, not intent.
The Routing Board
The three scores route each lead to exactly one of five destinations. The routing is rule-based, not a simple sum, because a high-Fit lead with no Timing belongs somewhere different than a low-Fit lead with high Intent.
Route | The rule | The action the agent prepares |
|---|---|---|
Route to you now | Fit ≥ 2 and Intent ≥ 2 and Timing ≥ 2 | A one-paragraph brief on the lead plus a drafted personal reply, sent to you to approve and send |
Auto-advance | Fit ≥ 2 and Intent ≥ 2 and Timing ≤ 1 | The standard qualified reply (booking link or qualifying questions), sent without you touching it once you've turned this route on |
Nurture | Fit ≥ 2 but Intent ≤ 1 | A short warm reply and a tag with a follow-up date |
Decline or redirect | Fit ≤ 1 | A courteous decline, or a redirect to a resource or a partner, drafted for one click |
Flag for review | The agent's confidence in its own scoring is below the threshold, or the lead's signals contradict each other | No action taken. The lead comes to you with the agent's reasoning and the specific ambiguity named |
That last route is the one that earns the operator's trust. An agent that confidently mis-sorts a lead is worse than no agent, because you stop checking.
The confidence gate means the agent only acts when it's sure, and brings you the genuinely ambiguous ones instead of guessing. It is the single most important rule in the build.
The agent reads the stream, scores each lead on the three axes, checks its own confidence, applies the routing rules, and produces the prepared action for each one. You decide which routes it's allowed to send on its own and which it has to bring to you.
Early on, the only route I'd let send unattended is the courteous decline to a clear non-fit. Everything else you approve until the accuracy proves out.
The Protocol
Seven steps. Every prompt below is usable as written.
Step 1: Pick The Platform And Confirm Access
Pick the platform from the decision section above. Confirm the agent has access to:
Web browsing, for researching the lead and the company
The folder or workspace where the context file and the routed-lead log will live
Your inbound sources: the inbox, form tool, CRM, or chat where leads arrive
Send access, if and only if you intend to let it send the routes you approve (you can run the whole build in draft-only mode first)
You do not need a sophisticated stack to run this agent. You need a structured way for it to read incoming leads and a place to write its output. A single monitored inbox and a markdown log file is enough to start.
Step 2: Build The Context File
This is the most important step in the build. The Lead Qualification Agent is only as good as the buyer profile it scores against.
Create a markdown file the agent references on every run. Name it lead-context.md and put it in the folder or workspace the agent has access to. Fill it out once. Update it monthly.
# Lead Context
## About The Business
- Business name, what you sell, who you sell to.
- The offers a lead might be coming in for, and the rough price band of each.
- How a good-fit deal typically starts (a call, an application, a trial, a wholesale order).
## The Ideal Customer Profile
- The attributes that define your best customers: industry or category, size band (revenue, headcount, order volume, or audience size), the role of the person who reaches out, geography if it matters.
- The three or four traits your best five customers all share. Be specific. "Mid-market" is not a trait. "$8M to $20M D2C skincare brands whose founder is still in the marketing decisions" is a trait.
- The budget band a real deal sits in.
## Disqualifiers (The Anti-Profile)
- Who is explicitly not a fit, no matter how nice the email is. Name the industries, sizes, roles, and request types you do not serve.
- The request types that look like leads but aren't: vendors pitching you, job seekers, students asking for free advice, partnership spam, competitors fishing.
## Scorecard Anchors
For each axis, define what 0, 1, 2, and 3 look like for THIS business, with a real example of each:
- Fit: 0 = [example], 1 = [example], 2 = [example], 3 = [example]
- Intent: 0 = [example], 1 = [example], 2 = [example], 3 = [example]
- Timing: 0 = [example], 1 = [example], 2 = [example], 3 = [example]
## The Routing Table
- Route to you now: [the rule, and where the brief should be delivered]
- Auto-advance: [the rule, and the exact link or questions the standard reply uses]
- Nurture: [the rule, and the default follow-up interval]
- Decline or redirect: [the rule, and the resource or partner to redirect to]
- Flag for review: [the confidence threshold, and where flagged leads go]
## Reply Templates
- The drafted-reply format for a "route to you now" lead (greeting, the one specific thing about their situation, the next step).
- The standard auto-advance reply, written out in full.
- The nurture reply, written out in full.
- The decline and the redirect replies, written out in full.
## Sources The Agent Reads
- Inbound channels, named (inbox address, form tool, CRM pipeline, chat).
- Public sources the agent may use to research a lead (company site, LinkedIn, the lead's own site).
## What The Agent Should Always Surface
- Any "route to you now" lead, within the time window you set.
- Any lead whose signals contradict each other (high Fit, zero Intent; named budget but wrong industry).
- Any lead that matches a disqualifier but came through a high-trust channel (a referral), so you can override.
## What The Agent Should Never Do
- Never auto-send any reply other than the routes you've explicitly turned on.
- Never invent enrichment data. If a fact about the lead or their company isn't sourced, mark it as unknown.
- Never score Fit up because the lead was warm, friendly, or referred. Fit is the profile, nothing else.
- Never decline a lead that matches the profile on Fit. A high-Fit, low-everything-else lead goes to Nurture, not Decline.
This file is the difference between a generic qualifier and an agent that sorts your inbound the way your sharpest salesperson would.
The Tacit-to-Explicit Knowledge work happens here. You already know your best customer when you see them. That knowledge lives in your head as pattern recognition built over years. The context file is the deliberate act of moving it onto the page where the agent can apply it the same way every time, at 2am, on the hundredth lead of the week.
Step 3: Install The System Prompt
This is the agent's job description. Put it in a file called lead-agent-system-prompt.md in the same folder.
You are the Lead Qualification Agent for [Business Name].
Your job is to read each inbound lead, score it on three axes, route it to exactly one destination, and prepare the next action, on a recurring or triggered basis.
Read lead-context.md before every run. Everything in that file takes precedence over your defaults. The Ideal Customer Profile, the Disqualifiers, and the Scorecard Anchors govern every score you produce.
For each lead, run the following in order.
STEP 1: RESEARCH
Read everything the lead submitted (form fields, email body, message). Then research the person and the company using the public sources named in lead-context.md. Pull only facts you can source. If a fact is not available, mark it "unknown." Do not infer a company's size, industry, or budget from its name or its logo.
STEP 2: SCORE
Score the lead on Fit, Intent, and Timing, each from 0 to 3, using the Scorecard Anchors in lead-context.md. For each of the three scores, cite the specific basis: the form field, the email line, or the sourced fact that justifies the number. A score with no cited basis is recorded as 0. Score Fit only against the profile. Do not raise Fit because the lead is warm, friendly, or referred.
STEP 3: CHECK CONFIDENCE
Rate your own confidence in the three scores as high, medium, or low. Confidence is low when key facts are unknown, when the lead's signals contradict each other, or when the lead is close to a routing boundary and a single fact would change the route. If confidence is low, the route is "Flag for review" regardless of the scores.
STEP 4: ROUTE
Apply the Routing Table in lead-context.md to the three scores. Each lead routes to exactly one destination. Do not route a lead to two places. If a lead matches a disqualifier but arrived through a high-trust channel, route it to "Flag for review" with the conflict named, rather than auto-declining it.
STEP 5: PREPARE THE ACTION
Produce the prepared action for the route, using the matching Reply Template in lead-context.md. For "route to you now," write the one-paragraph brief and the drafted personal reply. For the other routes, draft the reply in full. Never send any reply except the routes the operator has explicitly turned on for auto-send.
OUTPUT TEMPLATE (use exactly, one block per lead):
### Lead: [Name, Company]
- Source: [channel and date]
- Fit [0-3]: [cited basis]
- Intent [0-3]: [cited basis]
- Timing [0-3]: [cited basis]
- Confidence: [high / medium / low]
- Route: [Route to you now / Auto-advance / Nurture / Decline or redirect / Flag for review]
- Why this route: [one sentence]
- Prepared action:
[The brief and drafted reply, or the drafted reply, per the route]
Do not pad. If you cannot score an axis because the lead gave you nothing to score, record it as 0 with the basis "no signal provided" and let the routing handle it.
A couple of things this system prompt is doing under the hood:
It forces research before scoring. An agent that scores off the form alone will misjudge Fit constantly, because the most important fit signals (real company size, real category) usually aren't in what the lead typed.
The confidence check is a hard gate, not a suggestion. Tying low confidence directly to the "Flag for review" route is what stops the agent from confidently mis-sorting the leads it should have brought to you. In my testing, this one rule does more for trust than any amount of scoring tuning.
Step 4: The Three Runtime Prompts
These are the prompts you send to put the agent to work. The system prompt governs its behavior. These trigger the runs.
The Triage prompt (single lead or batch):
Triage the inbound below using your system prompt and lead-context.md.
Research each lead, score it on Fit, Intent, and Timing with a cited basis for each, check your confidence, route it to exactly one destination, and prepare the action.
Produce one output block per lead using the OUTPUT TEMPLATE. Order the output by route, with "Route to you now" first and "Decline or redirect" last.
[Paste the lead, or point me at the inbox / pipeline and the date range to sweep.]
The Auto-reply prompt (for approved routes only):
For the leads I've marked approved below, send the prepared reply for their route.
Send only the routes I have turned on for auto-send in lead-context.md. For any lead whose route is not on the auto-send list, do not send. Hold it for my approval and tell me you're holding it.
After sending, log each lead in the routed-lead log: name, company, route, date sent, and the reply that went out.
The Daily Digest prompt:
Produce the end-of-day digest of everything you triaged today.
Group by route. For each route, list the leads with their three scores and one-line reason. Call out separately:
- Every "Route to you now" lead still waiting on my approval
- Every "Flag for review" lead and the specific ambiguity for each
- Any lead where you scored Fit 3 but routed to Nurture or Decline, so I can sanity-check the call
Keep it to something I can read in three minutes before I close the laptop.
Step 5: Run Your First Batch
Don't start live. Start on leads you already know the outcome of.
Pull the last thirty to fifty inbound leads from the past quarter, including the ones that became customers and the ones that went nowhere. Run the Triage prompt across the batch in draft-only mode. Then compare the agent's routing to what happened.
What to check | What you're looking for |
|---|---|
The deals that closed | Did the agent route them to "Route to you now" or "Auto-advance"? If a real customer got routed to Nurture or Decline, your Fit or Intent anchors are too strict. |
The leads that wasted your time | Did the agent route them to Decline or Nurture? If a tire-kicker got "Route to you now," your anchors are too loose. |
The flagged leads | Were they genuinely ambiguous? If the agent flagged leads that were obvious either way, your confidence threshold is too cautious. |
This backtest is the fastest way to calibrate the Scorecard against reality before a single live lead is touched. Expect the first run to route 70% to 80% of leads the way you would have. The misses tell you exactly which anchors to fix.
Step 6: Tune After The Backtest And The First Live Week
The Lead Qualification Agent drifts in predictable directions, and two of them matter more than the rest. Tune for these first.
False-positive Fit. The agent scores Fit too high on leads that feel like a fit but aren't, usually warm referrals or friendly emails from the wrong-size company. Tighten the Fit anchors with sharper examples of a 1 and a 2, and reinforce the rule in the context file: "Fit is the written profile only. A warm or referred lead that doesn't match the profile is not high Fit. Score the profile, then note the referral separately."
ICP creep. Over a few weeks, the agent gradually widens what counts as a fit to match the leads it's been seeing, and the profile drifts toward whoever has been emailing you. Re-paste the original Ideal Customer Profile each month and add: "The profile does not change because recent leads differ from it. Score every lead against the profile as written, not against the recent average of inbound."
Intent inflation. The agent reads courtesy as intent. Add to the context: "Politeness, enthusiasm, and 'looking forward to learning more' are not Intent. Intent requires a named problem, a named need, or a stated next step the lead wants to take."
Over-eager auto-sends. The agent auto-declines a borderline lead that should have been flagged. Raise the confidence threshold for the Decline route specifically, and add: "A Decline is only auto-sent when Fit is 0 and confidence is high. A Fit of 1, or any Decline at medium or low confidence, goes to Flag for review."
Step 7: Set The Trigger
Unlike a strategy agent that runs on a slow cycle, the Lead Qualification Agent earns its keep on speed. The right cadence depends on your inbound volume.
Triggered, per lead. If your inbound is steady and speed matters (most agencies, SaaS, and expert businesses), wire the agent to run the moment a lead arrives. The lead is researched, scored, routed, and the reply drafted within minutes, so a "route to you now" lead is on your desk before it's cold.
Batch sweep, hourly or twice daily. If volume is high and uniform (ecommerce wholesale inquiries, high-traffic forms), a sweep every hour or at set times of day keeps the queue sorted without a run per lead.
Both Claude Code in Cowork mode and the Codex app support triggered and scheduled automations. Set the trigger, point it at your inbound source, and route the prepared actions to wherever you'll act on them:
Your inbox for the ones you approve, the log for the ones the agent handled.
The queue stops being a pile you work top to bottom and becomes a sorted board where the best lead is already at the front.
What This Looks Like By Business Type
The agent stays the same. The inbound channels, the profile, and the intent signals change with the business. Here's the Routing Board by business type, side by side:
Agency | SaaS | Ecommerce | Expert / Creator | |
|---|---|---|---|---|
Inbound channels | Referral intros, contact form, founder DMs | Demo requests, trial signups, sales inbox | Wholesale inquiries, partnership emails, B2B contact form | "Work with me" form, DMs, podcast and speaking requests |
Fit anchor (a 3) | The exact category, size, and decision-maker you win with | Right company size, right tech stack, right role | A retailer or partner matching your channel and order profile | A client matching your engagement profile and budget band |
Strongest intent signal | "Our current agency isn't delivering and we need a partner" | A specific use case plus a named timeline or trigger | A specific order, quantity, or launch date | A named problem and a stated budget |
Typical auto-advance action | Discovery-call booking link with two qualifying questions | Self-serve onboarding link or routing to the right plan | Wholesale application or line-sheet request | Application form or a booking link |
Watch-Out | Over-scoring warm referrals on Fit. A referral is a channel, not a profile match. | Treating a trial signup as Intent. Most trials are curiosity, not a buying signal. | Supplier pitches dressed as leads. They fit the form, not the profile. | Mistaking fan engagement for buying intent. A reply is not a budget. |
The pattern across all four: the agent sorts a noisy stream into a clean board, and the Watch-Out row is where it earns its keep. Every business has one signal the operator habitually overreads, and the agent's job is to hold the line there.
Read the Fit and Intent rows for who you're looking for. Read the Watch-Out row for the trap that puts the wrong lead at the front of your queue.
Deploying This Across Your Team
The Lead Qualification Agent works as a solo build. It compounds when the people who handle inbound are running it too.
Four pieces of ownership keep this clean:
You own the profile and the routing table. The Ideal Customer Profile, the Scorecard anchors, and the routing rules are your IP. They live in a shared folder your sales lead can read but not modify. That permission boundary keeps routing consistent no matter who's working the queue.
Your sales lead works the board. They handle the "route to you now" leads, send the approved replies, and clear the flagged ones. They stop spending the first hour of the day qualifying leads by hand.
The team feeds back the misroutes. When the agent routes a lead wrong, the correction goes into the context file rather than someone's memory. A misroute that gets fixed in the file never happens again. A misroute that gets fixed in conversation happens every week.
You own the auto-send boundary. The line between what the agent sends on its own and what it brings to a human is a permission you set and widen deliberately. Start with only the clear declines on auto-send. Widen it route by route as the accuracy proves out on real leads.
The compound effect is straightforward. Inbound stops being handled in arrival order and starts being handled in priority order, the same way every time, across every channel, whether you're at your desk or on a plane.
Your best lead reaches a human while it's still warm, and your team's morning stops getting eaten by leads that were never going to buy.
Bonus: The Speed-To-Lead Variant
The single biggest predictor of whether an inbound lead converts is how fast you respond. The drop-off between a reply in five minutes and a reply in an hour is steep, and the drop-off after a day is a cliff. Most operators know this and still can't act on it, because a human can't watch the inbox at 11pm on a Saturday.
The Speed-to-Lead Variant closes that gap for your hottest leads only.
The standard build drafts a personal reply for "route to you now" leads and waits for your approval. The variant adds one narrow auto-send permission: for a lead that scores Fit 3, Intent 3, Timing 3, at high confidence, the agent sends an immediate holding reply on its own.
The reply is short and human, a quick acknowledgment of their specific situation that confirms you're the right person and locks a time, rather than a full pitch.
Subject: Re: [their subject]
[First name], got your note about [the specific thing they mentioned]. This is squarely what we do, and I'd rather not make you wait on it. I've held two times this week: [link]. Grab whichever works and I'll come prepared on [the specific problem they named].
[Your name]
Two rules keep this safe. The auto-send fires only on a perfect three-three-three at high confidence, which is a small fraction of inbound, so the blast radius of a mistake is tiny.
And every auto-sent holding reply is logged and surfaced in the daily digest, so you see exactly what went out under your name and can adjust the template the moment one reads wrong.
For a solo operator running everything from one inbox, this variant is the highest-leverage piece of the whole build. It means the lead that comes in while you're asleep or with a client still gets a fast, specific, human reply, and the calendar invite is sitting there when you surface. The biggest deal of your quarter doesn't wait on you having a free hour.
Want The Full Agent Build Pack?
You can build the Lead Qualification Agent from the prompts above. If you'd rather skip the setup work, Cortex subscribers get the full Lead Qualification Agent Build Pack as a download:
The installable Claude Skill that sets up the agent in Cowork mode in one command
The Codex configuration pack with system prompt, plugin list, and the triggered and scheduled automation specs
Four pre-filled context files (agency, SaaS, ecommerce, and expert / creator) with real-feeling profiles, scorecard anchors, routing tables, and reply templates you can adapt instead of starting blank
The Tune Pack: the most common drift patterns I've seen for this agent (false-positive Fit, ICP creep, intent inflation, over-eager auto-sends, and four more), with the exact context-file edits and prompt patches that fix each one
Three worked triage outputs with annotations on why each lead routed where it did
This is only available to paying Cortex subscribers.
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Run the Lead Qualification Agent for a month and the four days that cost my client a $90K engagement stop existing in your business.
Every lead is read, scored, and routed the hour it arrives, and the one worth the most is the one a human sees first.
The operators across the table from your buyers are still working the inbox top to bottom, giving the whale and the tire-kicker the same place in line.
The lead you would have gotten to on Thursday is on your calendar by Monday lunch, and the deal closes on your side of the table.
Build it this week. I’ve almost literally given you everything you need to do so. No excuses.
Talk soon,
Sam Woods
The Editor
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