We take on projects that work across the entire customer lifecycle.
01 ACQUISITION
Acquisition
Finding the right accounts and reaching them with a message they answer: market maps, account scoring, researched outreach sent on a buying signal.
02 ENGAGEMENT
Engagement
Turning interest into a conversation fast: every reply and inbound lead scored, routed and followed up the same day.
03 CONVERSION
Conversion
Helping the people who close: every sales call scored, a coaching note for each rep, first-draft proposals built from what has won before.
RETENTION / CHURN
Retention / Churn
Keeping the customers you have: onboarding that gets them active sooner, support that answers faster, and the accounts likely to leave spotted while there is still time to act.
We built a hiring pipeline for its HR teams across several countries and languages.
3hiring stages in one pipeline: resume fit, phone prescreen, interview
The projects
What our team built
Pipeline and outreach · Enterprise AI services startup
B2B Pipeline Engine
What it is
Outbound meetings were expensive to book. Now each one costs around $200, all costs in.
Generic outbound email had a 0.9% reply rate. Most of the spend went on letters nobody answered.
What we did
We built the engine from market map to booked meeting. It maps the target accounts and scores each one against the ideal customer. It finds the right contact and writes a letter that opens with a researched line about them. Each letter goes out on a buying signal, and each stage can run as its own workstream.
What moved
~$200per booked meeting, all costs in
13%reply rate on researched letters
10xmore replies when the letter opens with a researched line
Sales conversion · US edtech company
Sales Call Intelligence
What it is
Managers heard a fraction of sales calls. Now every call is scored the same day.
Managers could review only a sample of calls to decide where reps needed coaching.
What we did
Every sales call is transcribed and scored, and hot leads are flagged the same day. Managers get a daily brief, and each rep gets a coaching note every week.
What moved
20 to 30%higher sales conversion
100%of calls transcribed and scored
Pre-sales and RFPs · B2B AI-native company
Deal Desk Engine
What it is
Each RFP started from a blank page. Now the first draft draws on 1,000+ past proposals and price sheets.
Proposal teams wrote each RFP response by hand. Past proposals that had won were hard to find in time.
What we did
One engine sits over 1,000+ past proposals, decks and price sheets. On a new RFP it finds the closest precedent and drafts the proposal and the deck. It prices against the rate card and matches the right experts.
What moved
Hours, not daysto a first draft
1,000+past proposals, decks and price sheets behind each first draft
Hiring · Middle East telecom group · Client build
AI Hiring Pipeline
What it is
Screening ran by hand in several languages. Now one pipeline runs all 3 stages.
HR teams in several countries screened candidates by hand, each in its own language. There was no shared standard across them.
What we did
We built a hiring pipeline for its HR teams across several countries and languages. It scores resume-to-role fit with the reasons shown, and runs AI phone prescreens in the candidate's language. Live AI interviews end with a skill-by-skill report. Recruiters still make every decision.
What moved
3hiring stages in one pipeline: resume fit, phone prescreen, interview
Let's compare notes.
We work with teams across many industries, and we have a fair share of learnings on what works and what does not. The most common failure we see: teams do not build their own capability, so they cannot scale what they deliver with AI. Book thirty minutes and we will exchange notes: what is working for you, what is not, and what we are seeing.
