Real work, real outcomes.

Leadership was spending 20+ hours a week manually pulling data from six systems into slide decks. Numbers rarely reconciled between reports, and the exec team couldn't trust the weekly snapshot they were reviewing.

Designed a unified data model, built pipelines from the source systems into a warehouse, and shipped an executive dashboard with a defined KPI framework. Automated the weekly board pack generation on top of the same source of truth.

Manual reporting effort dropped by more than 90%, executive numbers now reconcile end-to-end, and leadership makes weekly decisions from a live dashboard instead of stale slides.

The operations team was manually processing hundreds of client briefs, campaign requests, and internal documents each week. Turnaround was slow and error-prone, and the team was blocking new client onboarding.

Ran a focused four-week sprint to identify the three highest-leverage workflows, then built AI-assisted internal tools for document parsing, brief classification, and structured intake generation. Wired the tools into the team's existing project management stack.

Cut per-brief handling time by roughly 70%, freed the operations team to take on new clients without adding headcount, and gave leadership a repeatable pattern for finding future AI wins.

Campaign performance data lived in five ad platforms and one internal system. Attribution was inconsistent, sales couldn't defend ROI to advertisers, and the finance team was rebuilding numbers from scratch every month.

Consolidated ad platform data into a warehouse, defined a shared attribution model with the revenue team, and built a measurement dashboard covering delivery, pacing, revenue, and campaign-level ROI. Documented the methodology so sales could speak to it confidently.

One trusted view of advertising performance across all platforms, faster monthly close, and a measurement story the sales team can bring directly into client conversations.

CRM, billing, product usage, and support systems were disconnected. Account managers were pulling data manually, churn signals were being missed, and finance was reconciling revenue by hand.

Built API integrations between the four core systems, designed an event-driven pipeline into the warehouse, and delivered a unified customer view with product usage, billing status, support health, and account activity in one place.

Account managers now see a single customer picture, churn risk is surfaced automatically, and the finance team eliminated its manual monthly revenue reconciliation.