Run·Engage
Highest AI coverage
Sixteen times more of the machine you already own.
From roughly 5% AI coverage to about 80%. Roughly 4× the work performed. Nothing hired. Nothing rebuilt.
Results = f(activity). Every unit of work logged, attributed, reconciled.
The three things.
1 · Higher output.Same team, same hours. The delta is autonomous volume.
2 · Impossible precision.No forgotten follow-up. No wrong name. No missed caveat. At any volume.
3 · Faster execution.Seconds where you had shifts. Edits where you had releases.
Where the 4× comes from. Area by area.
Modelled bands, weighted to your operation in discovery.
24-hour coverage. Follow-up on 100% of enquiries. Your people take the conversation that is ready to close.
Proactive outreach to a base that today gets almost none. Your people take the relationship.
A personalized send per person against one broadcast for everyone. Your people take the idea.
Continuous monitoring against the monthly review. Your people take the decision.
Volume is bounded by real orders. The value here is errors eliminated and nothing missed.
Share-weighted, that stacks to about 4× on average. Defensible range 3 to 5×.
Why 5% is invisible.
Total output ≈ coverage × per-unit multiplier + the uncovered rest. At 5% coverage that is about 1.15×. Lost inside a normal quarter. Every AI disappointment you have heard of was the 1.15× world being experienced. At 80% the same engine computes to about 4×.
Precision no team can hold.
The platform learns when each individual actually reads and replies. Outreach lands in that window. Not at 9 a.m. for everyone.
Every client, every account against its own normal. A drop is noticed the day it starts.
The right caveat in the right message. The thousandth as careful as the first.
The follow-up your best rep does on a good day. Every day. For every client.
Precision matters more than volume. It converts, and it protects. A cross-sell that shortens a relationship is a loss wearing a revenue spike. Precision keeps that sentence theoretical.
Faster. All the way down.
reply time on the inbound line, at 3 a.m. as at 3 p.m.
enquiries followed up, not the share somebody remembered.
faster delivery of a change. Protocols, thresholds, task types and screens ship as configuration.
How we compare
| Run·Engage | A copilot | An agency | |
|---|---|---|---|
| Coverage of information work | about 80% | one seat | one channel |
| Change lands | in seconds, by editing | next release | next quote |
| Message timing | learned per person | none | broadcast |
| Work logged and attributed | every unit | ✕ | a report |
| Model dependence | any model, improves with all | one | one |
What you'll actually see.
Monday without the backlog.The weekend's enquiries are answered, chased, and sorted before anyone logs in.
The quiet ones come back.The client who went silent got a message about the thing they needed, when they were reading.
The issue arrives first.Before the complaint. Before the month-end. With the evidence attached.
Fewer tabs. More judgment.Your people stop being the workflow and start deciding things.
We don't sell activity.
Roughly 4× the work performed typically lands at 1.3 to 2× on outcome KPIs. Diminishing follow-up returns, deliberate contact caps. Which is why targets bind on outcomes, not activity. Every number above is modelled and validated against your books in discovery. Never an audited statistic.
You have a choice to make.
A good model on 5% of the work. Or the same model on sixteen times more of it.
Which one moves a number?