Case studies

Measured before, measured after

Six engagements with the numbers attached. Client names are withheld where the agreement requires it. Every figure below came from the client's own systems, not from a survey.

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LogisticsRegional freight operator

Dispatch coordination cut from 6 hours to 40 minutes a day

The problem

Three coordinators spent most of their day reconciling driver availability, load requirements, and customer time windows across a TMS, a spreadsheet, and a shared inbox.

What we built

We mapped the real assignment logic, built a constraint solver against it, and wired an agent that drafts the daily plan and flags only the conflicts a human must resolve.

Daily planning time down 89 percent

Late deliveries reduced by 34 percent

Two coordinators redeployed to account management

PythonOR-Toolsn8nPostgres

SoftwareB2B SaaS platform

First response time from 9 hours to 11 minutes

The problem

A support team of six was drowning in repetitive configuration questions while enterprise escalations waited behind them in a single undifferentiated queue.

What we built

Intent classification and routing first, then grounded retrieval over documentation and resolved tickets, then draft for review, then narrow auto deflection on the safest intent classes.

First response time down 98 percent

41 percent of volume resolved without a human

CSAT up 12 points

ZendeskClaudepgvectorn8n

Professional servicesMarketing agency

Content output tripled with the same editorial team

The problem

Research and briefing consumed roughly 70 percent of each writer's time, capping output at four articles per week across the whole team.

What we built

An automated research and briefing pipeline pulling live search data with cited sources, feeding a structured brief. Writers kept full editorial control at the drafting stage.

Output from 4 to 13 articles per week

Organic sessions up 210 percent in seven months

Zero reduction in editorial headcount

DataForSEOClauden8nWordPress

Financial servicesPayments company

Merchant onboarding reduced from 5 days to under 4 hours

The problem

Document collection, verification, and risk review were manual, sequential, and spread across four teams with no shared view of where an application sat.

What we built

Document extraction with confidence scoring, automated verification against external registries, and risk scoring that escalates only ambiguous cases to a human reviewer.

Median onboarding time down 93 percent

Manual review load reduced 71 percent

Full audit trail on every decision

FastAPIClaudeTemporalPostgresAWS

EcommerceMulti channel retailer

Inventory sync errors eliminated across five sales channels

The problem

Stock levels drifted between Shopify, Amazon, eBay, a wholesale portal, and the warehouse system, producing oversells every week and constant manual reconciliation.

What we built

A single source of truth service with idempotent event processing, conflict resolution rules agreed with operations, and alerting on any drift beyond a defined tolerance.

Oversells eliminated over nine months of operation

12 hours a week of reconciliation removed

Channel expansion time cut from weeks to days

Node.jsRedisPostgresn8nDocker

RecruitmentTechnical recruitment firm

Screening capacity up 5x without adding recruiters

The problem

Recruiters spent their mornings reading unqualified applications, leaving too little time for the candidate conversations that actually generate placements.

What we built

Structured extraction from applications, scoring against role specific criteria defined with each consultant, and a review queue that surfaces the strongest candidates first with reasoning attached.

Applications processed per recruiter up 5x

Time to first contact down from 3 days to 4 hours

Placement rate up 22 percent

PythonClaudePostgresHubSpot

On the numbers. We report the metric the client already tracked before we arrived, measured the same way afterwards. Where a baseline did not exist we say so rather than inventing a percentage. Reference calls with past clients are available during procurement.

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