The outcome first. Then the method.

A growth-stage specialty lender

Problem

Underwriters spent the majority of their day on document intake — reading, classifying, and re-keying data from inconsistent borrower packages. Volume was capped by headcount, and every new hire took months to ramp.

Approach

We mapped the end-to-end intake workflow, identified the highest-friction steps, and put AI to work on extraction and classification with a human review layer for exceptions. We integrated it directly into the existing loan origination system rather than bolting on a separate tool.

Outcome

Manual handling per file dropped roughly 70%, the team processed more volume without adding staff, and underwriters shifted their time to judgment-heavy decisions. The lender absorbed a seasonal volume spike without a hiring cycle.

A Series B insurance platform

Problem

Claims operations relied on a chain of manual handoffs between teams. Cases sat in queues for days, status was opaque to leadership, and the cost-to-serve climbed with every new customer cohort.

Approach

We instrumented the workflow to expose where cases actually stalled, removed redundant approval steps, and automated routing and triage so each case reached the right handler the first time. Leadership got a live view of throughput and bottlenecks.

Outcome

Average case throughput improved roughly 4x, cost-to-serve fell as cases stopped re-circulating, and the operations team could finally forecast capacity. Customer resolution times improved without adding people.

A growth-stage B2B SaaS company

Problem

The flagship product had grown feature-heavy but decision-poor. Customers logged in, exported data, and made the actual call in spreadsheets — so the product was easy to churn and hard to price up.

Approach

We pressure-tested the roadmap, cut low-value features, and rebuilt the core experience around the decisions customers were really trying to make — surfacing recommendations and context inside the workflow instead of raw data.

Outcome

Customers reached decisions roughly 60% faster inside the product, engagement on the core workflow rose, and the company gained the pricing leverage to move upmarket. The roadmap got shorter and the outcomes got sharper.

A regulated payments operator

Problem

A decade-old monolith made every change slow and risky. Releases were quarterly, incidents were frequent, and the cost of keeping the lights on crowded out the budget for anything new.

Approach

We sequenced a modernization that prioritized business impact over a rewrite — decoupling the highest-risk components first, hardening the deployment pipeline, and migrating workloads to a more efficient, auditable footprint without disrupting compliance.

Outcome

Run-rate infrastructure cost fell about 35%, releases moved from quarterly to weekly, and incident volume dropped. The team regained the capacity to ship product instead of firefighting — and we handed the playbook back to them.