Automate reporting now. Prepare your business for AI.
We take the manual work out of your existing reporting and lay the governed data foundation that makes AI actually deliver. Practitioners who built it at scale inside major operations — not consultants who advise from the outside.
From fragmented reporting to operational visibility
Most operators already know what they need to measure. The problem isn’t a lack of data — it’s that systems, processes, and the ERP environment aren’t structured to surface it consistently. We fix the root cause, then build on it.
A phased path — start small, prove value, scale from there.
Built for complex, data-rich operations
Across industries the focus is the same: turning data into decisions that save money, make money, and drive accountability.
Meet the team
Not consultants who advise on analytics — practitioners who built it at scale inside major waste, insurance, and enterprise organizations.
Kyle builds BI at scale for waste and enterprise operators — bridging operations, finance, and IT to turn fragmented reporting into governed, decision-ready visibility.
At WIN Waste Innovations, a 1,000+ person waste operator, he led BI strategy, defined enterprise KPIs, and built the pipelines and dashboards behind operations, finance, and a multi-million-dollar loan process. For a national waste services operator, his Power BI reporting suite drove a $1M AR reduction at a single location within three months.
Jeff brings deep enterprise analytics, automation, and transformation experience across insurance and financial services, and leads imPROVE’s global practice.
Over 13 years at Liberty Mutual he led 250+ improvement projects delivering 50,000+ hours saved annually and $10M+ in effort avoidance. At Arch Insurance he led Shared Services, deploying OCR, RPA, and AI-driven workflow automation at enterprise scale.
Patrick designs the governed data foundations everything else sits on — from data lakes and warehouses to the integration platforms that make analytics AI-ready.
Across Azure, AWS, and GCP, he has cut data-acquisition time and manual reconciliation for a major reinsurer, architected enterprise data platforms for a national waste services operator, and helped grow a BI practice by more than 100% year over year.
Dan leads AI implementations and builds SaaS products end to end, blending data, operations, and product design to turn messy business problems into software people actually want to use.
He scaled business operations at Under30Experiences, led operations and AI implementation at Quandary Consulting Group across construction, finance, and healthcare, and worked as a business analyst in climate tech at VEIC. Through AlignedOps, he now ships custom SaaS tools and AI workflows for founder-led teams — work spanning early-stage startups to Google.
Good to know
We help data-rich operations move from manual, Excel-based reporting to a governed analytics foundation — then build the dashboards, automation, and AI readiness on top of it. We go beyond strategy to define the roadmap and deliver working solutions.
Waste haulers and field-service operators, insurance and financial-services organizations, and other complex operations including life sciences, manufacturing, e-commerce, and industry organizations.
Most start small — often a maturity assessment or a short, fixed-scope engagement that produces a working dashboard tied to a real reporting need. You prove value quickly, then scale from there.
No. Most clients come to us precisely because their data is fragmented. Establishing a governed, trusted foundation is the work we do first.
Tell us where it hurts. We’ll show you where we can help fast.
Engagements can start in as little as two weeks. Start small, prove value quickly, scale from there.