Specialty pharmaceuticals
We found the revenue hiding in the commercial data
What
Fast growth had outrun the commercial team — no agreed way to size each site's potential, every account treated alike, and no read on which tactics actually drove volume.
How
We built and trained agents that model true market potential (≈1,900 sites, 91% accuracy), cluster accounts into segments, and quantify tactic ROI — served through a chatbot the team queries in plain language.
Value
11–15% incremental revenue on the base — on the order of $80–110M/yr of value at stake.
Intermodal logistics
We reconciled the billing and freed the cash
What
16,000+ movement records per cycle reconciled by hand across 80+ data sources; errors leaked revenue, DSO sat near 52 days, and 30–50% of the billing team was buried in exceptions.
How
AI agents cleanse and reconcile every record — each correction annotated with its rationale and a confidence score, validated against 80+ sources, improving on expert feedback.
Value
>90% accuracy; ~$1.3M annual EBITDA uplift and $1.6–8.2M of working capital freed — roughly $15–30M of enterprise value per company.
Industrial distribution
We turned a retiring expert's instinct into a pricing engine
What
Gross-profit growth hinged on special pricing agreements whose logic lived in a few experts' heads — eligible customers unenrolled, others on the wrong agreement, rebate dollars left on the table.
How
We built a segmentation and recommendation engine that finds the right agreement for each account and generates the evidence package for the negotiation — a 'sales strategist in a box.'
Value
$2–3M gross profit in a five-site pilot; ~$10–15M/yr across the full 25-site network, payback in 2–6 months.
Broadband & cable
We turned silent churn into protected revenue
What
Subscribers were disconnecting across the full footprint with no way to see who was at risk — or which saves were worth the most revenue.
How
We built and trained an agentic churn model on usage, billing, and service signals that scores every at-risk account by risk-weighted revenue and hands the save team a prioritized list, market by market.
Value
~$11–22M of annual revenue protected (≈$16M midpoint), cutting voluntary churn from 8% toward 6% across all markets.
