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Case Studies

Nine builds.
Three outcomes.

Every engagement we take on targets one of three things: time, revenue, or leverage. Here is what that looks like in practice.

Resume Screening Pipeline

Recruiting Agency
The Problem

A recruiting agency was manually reviewing 200+ resumes per week. The process required a dedicated coordinator and took 3–5 days per role to produce a shortlist.

What We Built

We built agents that ingest applications from any source, score candidates against role criteria, and deliver ranked shortlists directly to hiring managers — without a human in the loop.

The Outcome

The agency eliminated a full-time coordinator role and reduced time-to-shortlist from 3 days to under 2 hours. Capacity doubled with the same headcount.

$7,800/month saved

Customer Feedback Analysis

SaaS
The Problem

A SaaS company was collecting customer feedback across email, Intercom, and review sites but had no systematic way to process it. Support was drowning in duplicates and recurring issues went untracked.

What We Built

We built a feedback intelligence agent that monitors all channels, categorizes feedback by theme, detects patterns, and surfaces actionable insights to the product team on a weekly cadence.

The Outcome

Support volume dropped 34% in 60 days as recurring issues were identified and resolved at the source. The product team shipped three high-impact fixes within the first month.

34% support volume reduction

Proposal Generation & Customization

Professional Services
The Problem

A professional services firm spent 6–8 hours per proposal manually researching the client and adapting template language. Proposal quality was inconsistent across reps.

What We Built

We built agents that research the prospect, pull relevant case studies, draft a tailored proposal, and format it to brand standards — in under 20 minutes.

The Outcome

Win rate increased 47% over 90 days while proposal volume doubled. Senior consultants now spend their time on strategy, not formatting.

47% proposal win rate increase

Expense Report Processing

Multi-State Consulting Firm
The Problem

A multi-state consulting firm had 40+ employees submitting expense reports manually each month. Finance spent over 30 hours on reconciliation and chasing missing receipts.

What We Built

We built agents that parse receipts, categorize expenses, flag policy violations, and draft reimbursement summaries — all triggered automatically when a report is submitted.

The Outcome

Finance reclaimed 30 hours per month. Processing time per report dropped from 20 minutes to under 2 minutes. Policy violations flagged before approval, not after.

30 hours/month freed up

Accounts Receivable Automation

Regional HVAC Operator
The Problem

A regional HVAC operator had $340,000 in outstanding AR with no systematic follow-up process. Collections were manual, inconsistent, and entirely dependent on one person.

What We Built

We built agents that monitor outstanding invoices, send escalating follow-up sequences across email and SMS, and route unresponsive accounts to the owner with a recommended action.

The Outcome

Overdue AR dropped 68% in the first 90 days. The owner stopped spending time on collections entirely. Cash flow stabilized without adding headcount.

68% reduction in overdue AR

Lead Scoring & Prioritization

B2B SaaS
The Problem

A B2B SaaS sales team was working every inbound lead the same way — same sequence, same timing — regardless of fit or buying intent. High-value leads were treated like cold traffic.

What We Built

We built a scoring agent that evaluates leads across 12 signals, assigns a priority tier, and routes high-intent leads to senior reps within minutes of form submission.

The Outcome

Revenue per lead increased 156% as reps focused entirely on high-probability accounts. Low-fit leads were handled automatically, with no rep time wasted.

156% revenue per lead lift

Appointment Scheduling & Reminders

Home Services Company
The Problem

A home services company was losing 30% of booked appointments to no-shows. Manual reminder calls weren't scaling and the team was spending 2+ hours per day on scheduling logistics.

What We Built

We built agents that send multi-channel reminders at optimized intervals, handle reschedule requests automatically, and fill cancellations from a waitlist in real time.

The Outcome

No-show rate dropped from 30% to 8% in 45 days. The team reclaimed 2+ hours daily. Revenue per week increased simply from jobs that used to fall through.

No-show rate: 30% → 8%

Contract Review Automation

Multi-State Service Business
The Problem

A multi-state service business was routing every vendor contract through outside counsel. Average review time: 150 minutes per contract at $400/hour. Volume was growing.

What We Built

We built a contract analysis agent that identifies risk clauses, summarizes obligations, flags non-standard terms, and generates a risk-ranked summary for legal review in minutes.

The Outcome

Average review time dropped from 150 minutes to 12 minutes per contract. Outside counsel spend dropped 80%. The team now reviews 3x the volume at a fraction of the cost.

150 min → 12 min per contract

Email Triage & Lead Enrichment

B2B SaaS
The Problem

A B2B SaaS sales team was manually triaging hundreds of inbound emails daily and spending hours researching leads before outreach. Response times were slow and first-touch quality was inconsistent.

What We Built

We built agents that classify inbound email by intent, enrich leads with firmographic and behavioral data, and draft personalized first-touch replies — ready for one-click send.

The Outcome

Reply rate lifted 3.2x. Reps reclaimed 2 hours per day. Response time to high-intent leads dropped from same-day to under 4 minutes.

3.2x reply-rate lift

The Pattern

The pattern across every build.

Time Collapse

Every system we build eliminates a manual handoff. Processes that took days now take minutes — not because we moved faster, but because we removed the steps that shouldn't exist.

Revenue Recovery

Automation isn't just efficiency. Every process we optimize recovers revenue that was silently leaking — through slow follow-up, dropped leads, and inconsistent execution.

Leverage

Our clients don't hire more people to handle more volume. They use the same team to do more — because the agents handle everything that doesn't require human judgment.

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