Case Studies

A few of the systems we've shipped

Illustrative examples of the kind of work we take on — problem, approach, and outcome for each.

AI & Data Science

Cutting a two-day manual forecasting process to a five-minute automated run

94%FORECAST ACCURACY
~16 hrsSAVED PER WEEK
PROBLEM

A logistics team was rebuilding a demand forecast in spreadsheets every week, taking roughly two full days and breaking whenever the format of an input file changed.

APPROACH

Built a data pipeline to normalize inputs automatically, then trained a gradient-boosted forecasting model with a lightweight retraining schedule and a monitoring dashboard.

RESULT

The forecast now regenerates automatically each week. The team reviews the output instead of rebuilding it, freeing roughly two working days per week.

PandasScikit-learnXGBoostPostgreSQLAirflow
Chatbot Development

An agent that resolves billing questions end to end, not just answers them

-38%BILLING TICKETS
<2sAVG. RESPONSE TIME
PROBLEM

A subscription SaaS company's support queue was dominated by repetitive billing questions — refund status, plan changes, invoice lookups — each needing a human to check the same three systems.

APPROACH

Designed a LangGraph-based agent with explicit tool calls into the billing system and CRM, with confirmation steps required before any irreversible action like issuing a refund.

RESULT

The agent now resolves most billing questions without human involvement, with every action logged for audit. Support ticket volume on that category dropped noticeably within the first month.

LangGraphClaude APIPythonVector DB
Custom CRM & Software

Migrating a decade-old CRM without touching the sales team's live data

0DATA LOSS INCIDENTS
12 wksMIGRATION TIMELINE
PROBLEM

A mid-market manufacturer was running sales operations on a decade-old CRM that couldn't integrate with newer tools, but the sales team depended on it daily and couldn't tolerate downtime.

APPROACH

Rebuilt the CRM on a modern stack alongside the legacy system, ran both in parallel with a reconciliation process, and cut over gradually by team rather than all at once.

RESULT

The full migration completed over twelve weeks with weekly checkpoints and zero data loss incidents, and the sales team now has integrations the old system couldn't support.

DjangoReactPostgreSQLREST

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