Case Studies

Real problems. Measured results.

A look at how AI agents and automation translate into pipeline, hours saved, and revenue recovered.

E-Commerce · Revenue Recovery Agent Illustrative example

[Client Name — DTC Apparel Brand]

The Challenge

[PLACEHOLDER] A growing apparel brand was losing an estimated [$XX,XXX]/month to abandoned carts and failed subscription payments. Their two-person marketing team had no bandwidth for recovery campaigns beyond a single generic email.

What We Built

[PLACEHOLDER] A Revenue Recovery Agent that triggers personalized, behavior-aware win-back sequences across email and SMS — referencing the exact items left behind, applying guardrailed incentives only when needed, and retrying failed payments intelligently.

The Outcome

[PLACEHOLDER] Within [XX] days, recovered revenue covered the cost of the engagement [X] times over, with no added headcount.

B2B SaaS · Speed-to-Lead Agent Illustrative example

[Client Name — B2B SaaS Platform]

The Challenge

[PLACEHOLDER] Inbound demo requests sat for an average of [X] hours before a rep followed up — longer on weekends. Win-rate analysis showed leads contacted after one hour were [X]x less likely to close.

What We Built

[PLACEHOLDER] A Speed-to-Lead Agent that responds to every demo request in under 60 seconds, asks the team's exact qualification questions, routes by territory, and books meetings straight onto reps' calendars — synced to the CRM automatically.

The Outcome

[PLACEHOLDER] Median response time dropped from hours to seconds, and the sales team started Mondays with a calendar full of qualified meetings booked over the weekend.

Professional Services · Operations Agent Illustrative example

[Client Name — Accounting Firm]

The Challenge

[PLACEHOLDER] Client onboarding took [X] weeks of back-and-forth: intake forms, document collection, engagement letters, and CRM setup — all manual. Partners estimated [XX] staff-hours per new client.

What We Built

[PLACEHOLDER] An Operations Agent that runs the entire onboarding workflow: sends and chases intake forms, validates documents, generates engagement letters for signature, and provisions the client across the firm's systems.

The Outcome

[PLACEHOLDER] Onboarding time fell from weeks to days, error rates dropped, and staff hours were redirected to billable work.

E-Commerce · Customer Support Agent Illustrative example

[Client Name — Home Goods Retailer]

The Challenge

[PLACEHOLDER] Support volume doubled during peak season while the team stayed the same size. First-response times stretched past [XX] hours and review scores started slipping.

What We Built

[PLACEHOLDER] A Customer Support Agent trained on the retailer's policies and past tickets, handling order status, returns, and product questions instantly — and escalating complex cases to humans with a full summary attached.

The Outcome

[PLACEHOLDER] The agent resolved the majority of tickets end-to-end, the human team focused on high-touch cases, and peak season passed without a single hiring scramble.

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