Proof, not promises.

Renewal RadarCross-Sell FinderPolicy Diff ReaderReview Velocity Engine

Stanton runs an $8.4M book with 47% of renewals touched manually by CSRs over 3-4 phone calls each. That's $84K of first-year premium bleeding to competitors every cycle because at-risk accounts surface too late to save.

Discovery Sprint (2 weeks). Ingested 3 years of policy history into Renewal Radar, wired Cross-Sell against monoline gaps, Policy Diff for shop-the-account saves, and Review Engine for post-bind trust signal.

Projected $84K first-year retained premium + 47% reduction in renewal-call hours (from ~620 CSR hrs/quarter to ~328). Save-rate lift from 61% → 84% on accounts flagged 30+ days out.

Pilot kickoff · 2026-04-21

Restaurants · Waltham, MA

Bella Luna Trattoria

Commission Reclaim Bot

Bella Luna does ~$1.38M/yr through DoorDash, Uber Eats, and Grubhub. An audit of 90 days of order receipts surfaced $4,146 in documented overcharges — missing items billed, commission miscalcs, and promo fees applied after campaign end.

Pilot kickoff this week. Commission Reclaim Bot plugged into their POS export; scans every marketplace statement against order truth, auto-drafts dispute packets with receipt screenshots + line-item math the platforms have to honor.

Projected $16,584/yr recovered (extrapolated from the 90-day audit). Zero owner time — bot runs weekly, delivers dispute drafts to the GM's inbox Monday morning.

Engagement starting · May 2026

Hanley Consulting LLC — Accounting / CPA

Accounting / CPA · Waltham, MA

Hanley Consulting LLC

Tax Organizer GeneratorIRS Notice Responder

Hanley serves 150 individual + small-business tax clients. Organizer prep alone runs 4-6 hours per client in Jan-Feb; IRS notice responses eat another 2-3 hours each. That's 600-900 billable-equivalent hours their 3-person team can't afford.

Engagement starting May 2026. Tax Organizer Generator ingests prior-year 1040s/1120S and pre-fills client questionnaires. IRS Notice Responder drafts CP2000, CP14, and LT11 responses with citation-ready IRC references.

Projected 600-900 hours saved across the 2026 tax season — roughly one full-time equivalent clawed back without hiring. Capacity to onboard 40+ new clients without adding headcount.

Pilot in progress · Started 2026-04

Healthcare · Cambridge, MA

Cambridge Family Medicine

HIPAA Starter KitNo-Show PredictorClaims Denial Analyzer

A 4-provider family practice running ~120 visits/day. No-show rate sits at 14% (vs. 8% specialty benchmark) — that's $24K+/yr in lost slots. Compounding risk: HHS OCR ramps HIPAA enforcement in May 2026 and the practice has no current Security Risk Analysis on file.

Discovery Sprint (2 weeks). HIPAA Starter Kit generates the §164.308 SRA, BAA library, and breach-response playbook. No-Show Predictor scores every appointment 48h out. Claims Denial Analyzer triages CO-45/CO-97 rejects by root cause.

Projected $24,180/yr recovered from no-show reduction (14% → 8%) + HIPAA-audit-ready documentation in hand before the May 2026 OCR enforcement window. Claims denial rework cut ~30%.

Every number above is a projection modeled against the client's actual book, receipts, or appointment data using the linked Ascero AI tool. We'll update this page with signed-off results as each pilot closes.

2026 AI deployments worth knowing about

The same patterns we build into Ascero AI Agent Packs — running at Fortune 500 scale. Click any case study to read the source on the vendor's site.

M&A / buyer sourcing

OffDeal

$12,000 + 1 week → $200 per search · 25% → 85% eval accuracy

Replaced a $12,000-per-week buyer-sourcing team with one Claude agent.

Small-business M&A firm used to hire a research team to find qualified buyers for each listing — about $12K + one week per search. OffDeal rebuilt the workflow with Claude Agent SDK. Cost dropped to ~$200 per search, accuracy eval jumped from 25% to 85%, and the platform closed 8 deals totaling $91M with just 2 bankers.

E-commerce operations

Duvo @ Rohlik

€2.8M+ annualized · 78% → 93% availability · 40% capacity freed

Unlocked €2.8M in annualized margin across a European grocery chain in 3 months.

Rohlik, a major European online grocer, plugged Duvo's AI agents into supply-chain ops. Within 2 weeks, stock availability jumped from 78% to 93%. Over 3 months the system unlocked €2.8M+ in annualized margin and freed 40%+ of the ops team's capacity for higher-leverage work.

Legal / corporate counsel

GC AI

14 hrs/wk saved · 21% accuracy lift · 14% less outside-counsel spend

Gave 1,500 in-house legal teams back 14 hours per lawyer, every week.

GC AI built a corporate-counsel copilot on Claude. Across 1,500+ companies, each in-house lawyer saves ~14 hours/week on routine review, matter-management, and research. Accuracy on contract-review tasks improved 21%. Outside-counsel spend dropped 14% across their customer base.

Cash-flow / CFO tools

Agicap

3 weeks → 15 minutes forecast turnaround

Shipped an AI cash-flow copilot that SMB owners use to re-forecast in minutes, not weeks.

Agicap's AI layer turned monthly/quarterly re-forecasting into an in-app conversation. SMB finance teams that used to spend 3 weeks on rolling forecasts now do them in under 15 minutes, including scenario modeling against funding events + invoice slippage.

Sales training / coaching

Sandler Training

100% call coverage (vs <10% via humans) · 2-4 pt conversion lift

Replayed every sales rep call against a custom methodology coach.

Sandler trained a Claude-powered coach on 50 years of proprietary sales methodology. Every rep call now gets reviewed against the framework — where before only ~1 in 10 got human review. Early-adopter customers report a 2-4 point lift in close rate.

Banking

BBVA

120k seats · avg 3 hrs/wk/employee saved

Deployed Claude to 120,000 bank employees with measured productivity gains.

BBVA is one of the largest full-seat Claude Enterprise deployments in 2026. Internal time-tracking across pilot cohorts showed average ~3 hrs/week/employee reclaimed from meeting prep, document drafting, and knowledge search. Scale applies a cautionary note — gains were material but required heavy change-management.

Consumer tech

Snap