01
Prospect and account research
Summarize context before a call instead of opening nine tabs.
Capability
AI should do work, not just give you another chatbot.
We use AI where it removes repetitive work or helps someone make a better decision. If a workflow does not exist yet, adding AI to it does not create one — it just adds a tool nobody opens.
No AI theater. No disconnected demos. AI embedded inside workflows the business already depends on.
Where it helps
Fourteen places automation earns its keep.
02
Lead qualification
Score and sort inbound inquiries against real fit criteria.
03
Lead routing
Send the right inquiry to the right person, immediately.
04
Immediate inquiry responses
Acknowledge every inquiry in seconds with something useful.
05
Follow-up reminders
Nothing depends on remembering. The system creates the next step.
06
Personalized follow-up
Drafts grounded in the actual conversation, reviewed by a human.
07
Meeting summaries
Notes and next steps captured without retyping them.
08
CRM updates
Records stay current because updating them is not manual work.
09
Pipeline analysis
Surface stalled opportunities and stage-level drop-off.
10
Content assistance
Outlines and drafts from your own material, not generic filler.
11
Customer onboarding
Consistent kickoff steps triggered the moment a deal closes.
12
Reporting
Recurring summaries assembled automatically for review.
13
Review requests
Asked at the right moment, once, without nagging.
14
Referral workflows
A structured ask instead of an intention.
In sequence
What an automated inquiry actually looks like.
Inbound workflow
01
Form submitted
02
Record created
03
Instant reply sent
04
Owner notified
05
Qualification
06
Follow-up task
07
Consultation booked
08
Onboarding
09
Review request
None of this is exotic. It is a handful of connected steps that replace the most common failure in founder-led businesses: an interested person waiting for a reply that never comes.
The philosophy
Automate repetition, not relationships.
Administrative work should be automated aggressively. Judgment, discovery calls, pricing conversations, and difficult client moments should not. The useful combination is AI plus automation plus human judgment — the system prepares the work, a person makes the call.
How we decide what to automate
- Does it happen the same way every time?
- Does a delay cost money or trust?
- Can we measure whether it worked?
- Would a person add judgment here, or just latency?
- Is the underlying process documented at all?
From domain to demand to revenue
Useful automation beats impressive demos.
Start with the workflow that costs you the most opportunities.