AI agents

Six AI agents that run inside your ad accounts and CRM

We would rather show you one running than describe it. Pick the one that matches the leak you already know about, and we will run it against your data on the call.

Read-only access is enough to run the demo.

A speed-to-lead agent view: an inbound lead, the reply drafted and sent within seconds, and the booking that followed.
Illustrative example
$50M+Ad spend managed
$500M+Revenue generated
7x+Return on ad spend
25%+Conversion rates
Home services and private equity

Speed-to-lead agent: a reply to every lead in under a minute

Every form fill, ad lead and missed call gets a reply inside a minute, written to your CRM with its click ID still attached.

It works the conversation toward a booked appointment and hands anything off-script to a person with the whole thread already in the CRM.

A speed-to-lead agent view: an inbound lead, the reply drafted and sent within seconds, and the booking that followed.
Illustrative example
  1. Lead arrives

    Form, ad lead or missed call, with the click ID attached.

  2. Written to the CRM

    Straight in. No middleware holding the record hostage.

  3. Replies in under a minute

    And works the conversation toward a booked time.

  4. Hands off when it should

    Emergencies and anything off-script go to a person.

How a client uses it · This website

Fill in any form on this site and you get a personal reply from Drew within a minute, with his calendar link in it, and the booking step opens inline on the thank-you page rather than in an email you have to go and find. That is the agent, running on us before we point it at anyone else.

On SMS. Opt-in is captured at the point of inquiry and recorded against the lead. Messaging runs inside quiet hours set per market. A one-word opt-out stops it permanently and is written back, so no other campaign picks the number up.

B2B tech and GTM engineering

GTM agent: warm ICP accounts, verified contacts, drafted outreach

It watches for accounts warming up on your ads and your site, filters them against your ICP, and suppresses current customers and open deals before anyone is contacted.

It finds the buying committee, verifies the contact details, and drafts against the real signal. A person approves every send.

A GTM agent view: seven research agents running in parallel over transient buying signals, each returning a count of accounts, with the results merged, deduplicated and routed to a LinkedIn audience and an outbound sequence.
Illustrative example
  1. Spot the signal

    Accounts warming up on your ads and your website.

  2. Filter and suppress

    Against your ICP, your customer list and your open deals.

  3. Find the committee

    The right people, with contact details verified.

  4. Draft, then a person sends

    Written against the signal, approved by a human.

How a client uses it · An AI data platform, Series A

One ICP definition drives the whole engine: warm account detection, enrichment, the outbound sequence and the write-back, instead of four tools each with its own idea of who the customer is. The daily digest reports what was sent and what replied, so the question "is outbound working" has an answer before the quarter ends.

B2B tech and private equity

Audience agent: LinkedIn audiences that stay in sync with your ICP

It turns a signal list into a company audience, enriches each account, and keeps the audience in step with the list instead of leaving a one-time upload to go stale.

It also reports the other direction: which ICP accounts your ads have actually reached, and which ones they have not.

An audience agent view: a LinkedIn audience being kept in sync with the ICP definition, with accounts added and removed.
Illustrative example
  1. Read the signals

    Ad engagement, site visits and the ICP list in your CRM.

  2. Enrich the accounts

    So a company name becomes something you can target.

  3. Keep LinkedIn in step

    Additions and removals, on a schedule, not by hand.

  4. Report the coverage

    ICP accounts reached, and the ones still not reached.

How a client uses it · An AI data platform, Series A

Every company their LinkedIn ads reached is pulled weekly and matched against the ICP lists their CRM holds, so the report answers the question the board actually asks: of the named accounts we care about, how many have we reached this quarter, and which ones have we not touched at all. The "not reached" list is the one the team works from.

Every paid search account we run

Negative keyword agent: wasted search spend caught every night

It reads the search terms across every account every night, scores them against a taxonomy built per trade, and proposes the negatives rather than quietly applying them.

Competitor terms get their own treatment, because blocking a competitor name is a decision rather than a cleanup.

A negative keyword agent view: search terms flagged as waste overnight, each proposed for exclusion and awaiting approval.
Illustrative example
  1. Read every search term

    Nightly, across every account, not at the monthly meeting.

  2. Score against the trade

    Wrong trade, wrong intent, wrong job, each handled differently.

  3. Propose, do not apply

    The list goes to a person before anything reaches the account.

  4. Learn from corrections

    A rejected suggestion changes what it proposes next time.

How a client uses it · The home services portfolio

It runs nightly across every home services account we manage and holds its suggestions for approval, with a separate pass for competitor brand terms. Corrections are recorded, so a negative a human rejects once does not come back the following week wearing the same hat.

Private equity and multi-brand operators

Budget agent: overspend flagged the same day

It takes a daily spend snapshot for every account and channel, compares it against the month’s plan, and forecasts where the month lands at the current pace.

When an account is pacing to blow through the number, it raises an emergency alert the same day rather than at the month-end reconciliation.

A budget agent view: pacing by brand for the month, with one brand flagged as overspending and an alert raised.
Illustrative example
  1. Snapshot every day

    Spend per account and per channel, PPC, LSA, Meta and Bing.

  2. Pace against the plan

    Where the month lands if nothing changes.

  3. Alert before the overspend

    Same day, to a person, with the account named.

  4. Report the landing

    Planned against actual, for every brand, every month.

How a client uses it · A PE-backed home services platform

Pacing runs across every brand in the portfolio at once, so an operating partner sees one list rather than chasing each general manager for a number. Budget emergency alerts fire the day an account starts pacing hot, which is the only time the information is still worth anything.

Home services and B2B tech

Website agent: landing page tests judged on booked revenue

It splits traffic between page versions, tracks each visitor through the funnel, and reports the result per version with spend attributed by visit share.

The decision rule is written before the test starts, and the number it is judged on is bookings and revenue rather than clicks.

A website agent view: two landing page variants compared on booked revenue rather than on form fills.
Illustrative example
  1. Split the traffic

    Two versions of the page, an even split, one loader.

  2. Follow the funnel

    Every step from first view through to a booked job.

  3. Score it honestly

    Probability to win, with spend split by visit share.

  4. Call it on the rule

    The decision rule is set before the test, not after.

How a client uses it · Top Tier Plumbing

Two versions of their quote funnel run against each other on our own testing host, with a per-version funnel report in their nightly dashboard: unique visitors, start rate, probability to win, cost per lead and the booked revenue behind each version. The test is called on the rule that was written down before it started.

MicksonBrain™

Every agent runs on MicksonBrain™

They read the same attribution, call scoring and ICP definition as everything else, and every change to a live account waits for a person to approve it.

The MicksonBrain™ paid media report, Overview tab: ad spend, paid leads, cost per lead, lead conversion rate, lead-to-booking rate, paid booked jobs, booked revenue and booked ROAS, each against the prior period.
Overview, from a live MicksonBrain™ report.

See it

Ad to call to CRM job, across every channel you run.

Hear it

Every call transcribed and labeled booked, junk or missed.

Act on it

Account changes need human approval, with one-click rollback.

Guardrails

Where a person approves before an agent acts

Four places the agent stops and a person starts.

Emergencies go to a person

Anything off-script is handed over immediately, with the full thread in the CRM.

Every outbound send is approved

The agent finds the signal and drafts. A person presses send.

Consent, quiet hours, opt-out

Captured at inquiry, run inside quiet hours, one word stops it permanently.

Account changes stay gated

Same approval and one-click rollback as the rest of the platform.

Demo

Demo an agent on your data

Tell us which agent and what you run today. We will set up a read-only view and run it in front of you.

  • Pick a time on the spot. The calendar opens as soon as you submit.
  • Read-only is enough. Nothing writes to a live account during a demo.
  • Your data, not a sample. You see what the agent finds in your own account.
  • Not sure which one? The free 48-hour teardown usually makes the answer obvious.
Questions

Questions about the agents

What does a demo actually involve?

We connect the agent to a read-only view of your own account and run it in front of you. You see what it would have found, said or proposed on your real data rather than on a sample set.

Does a person ever get involved?

Yes, and in the places that matter. Reply to every lead in under a minute hands anything off-script to a person with the whole thread in the CRM. The GTM agent finds warm ICP accounts and drafts the outreach drafts and a person presses send. The negative keyword agent proposes and a person approves. Nothing writes to a live ad account without approval and a one-click rollback.

How do you handle SMS consent, quiet hours and opt-out?

Consent is captured at the point of inquiry and recorded against the lead. Messaging runs inside quiet hours set per market, and a one-word opt-out stops it permanently and is written back so no other campaign picks the number up.

Do we have to take all six?

No. Each one is independent. Most companies start with whichever one matches the leak they already know about, which is usually speed to lead for home services and the audience or GTM agent for B2B.

What do you need from us to run a demo?

Read access to the account the agent would work on. For speed-to-lead that is the CRM and your missed-call volume. For the GTM and audience agents it is your ICP definition, your customer list and your open deals, so suppression works from the first run.

What happens on the call

Thirty minutes with Drew. Bring the part of your funnel that leaks.

For home services from $5M, PE-backed platforms, and B2B teams with a real ICP. If that is not you yet, we will say so.

  • Thirty minutes with Drew, not a sales rep.
  • We open your live accounts and your CRM.
  • You leave with the first two or three things we would change.
  • No long contracts. You own the accounts and the data.