Owner
Founder, sales manager, AE lead, or growth operator who knows rep time is too expensive for bad-fit research.
Sales loses time when reps research accounts from scratch before every touch.
Mia prepares the account brief and flags the angle worth using.
Send the ICP and source list.
Mia maps the first overnight research and ranking loop.
The employee runs inside the systems you already use.
The point is less manual work, not another app to manage.
If your stack is different, it almost certainly connects too. See the directory →
Sales teams, founder-led sales motions, and revenue teams that need better accounts before more activity.
Owner
Founder, sales manager, AE lead, or growth operator who knows rep time is too expensive for bad-fit research.
Workday sentence
Who should we talk to today, why now, and what should the rep know before reaching out?
Where it gets stuck
Reps lose selling time stitching together firmographics, triggers, fit signals, and account context from scattered tools.
What cannot go wrong
The team burns hours on bad-fit accounts, sends irrelevant outreach, and learns too late that the list was weak.
What stays human
They protect market judgment and rep credibility.
They do not want a random scraped list dressed up as pipeline.
First useful version
A ranked lead queue with fit reasoning, recent triggers, firmographic context, and talking points for the next human touch.
Mia is useful only if this work gets cheaper, faster, cleaner, or easier to trust.
She handles prep, drafts, chases, and handoffs.
Your team keeps the decision.
Work to clear
Enriched lead list with firmographics and recent triggers
Impact
More follow-up, cleaner customer context, faster movement, and fewer revenue moments lost to scattered prep work.
Current cost
ICP definition and fit criteria
Human approval
Sales reviews the ranking before working the queue.
Edge cases get flagged for the manager.
Research is the work reps avoid that makes the next conversation better.
The employee builds the list, enriches each lead with firmographics and intent signals, and ranks by fit so your reps spend the morning calling, not searching.
“Tuesday morning your AE opens the CRM: 47 leads enriched overnight, ranked, three with hiring signals worth a same-day touch.”
Turn scattered analytics, ad data, SEO notes, and account context into a client-ready report draft before the Friday scramble starts.
Unstick the WISMO and returns queue by pulling order context, checking policy, drafting replies, and escalating refund exceptions.
Get candidates to interview before they go cold by triaging resumes, drafting follow-ups, scheduling interviews, and updating hiring managers.
An AI SDR that personalizes first-touch emails, sequences the follow-ups, and holds borderline drafts for review.
Mia checks the cost, risk, approval line, and whether an AI employee can clear the first version.
If this is cheaper or safer with a person, the scorecard says that.
WORK + APPROVAL SCORECARD
A short check for cost, speed, quality, risk, and the first safe version.
Work
Replies, reports, checks, handoffs, document chases, approvals, or follow-up that keeps coming back.
Cost
Staff time, manager attention, customer wait time, rework, missed follow-ups, or lost revenue.
Quality
Better drafts, faster turnaround, fewer errors, cleaner handoffs, and less chasing from managers.
Control
Customer promises, pricing, refunds, legal language, financial decisions, or anything that can damage trust.
Output: work to clear, current cost, approval line, pricing shape, and the smallest useful test.
Send the ICP and source list.
Mia maps the first overnight research and ranking loop.