We design, install, and operate the managed data backbone that gives your enterprise one version of the truth—and the automation to run on it.
Disconnected CRMs, ERPs, and billing platforms create data silos. Teams export CSVs, email spreadsheets, and manually reconcile numbers—destroying data lineage and creating invisible errors that compound over months.
Self-built Zapier chains and low-code connectors break without warning when APIs deprecate or data volumes spike. Nobody realizes the pipeline is down until an executive questions a blank dashboard weeks later.
Data analysts and FP&A leaders spend 80% of their hours finding, cleaning, and normalizing data across incompatible systems—leaving only 20% for the strategic analysis they were hired to deliver.
When the CRM reports one revenue number, marketing another, and the ERP a third, executive meetings devolve into debates over "whose data is right" instead of forward-looking strategy.
The answer isn't another app—it's a unified data strategy. We architect and operate a backend-first infrastructure that connects your critical systems into a single source of truth. Then we run it for you as Automation-as-a-Service, so your reporting is accurate, your workflows are automated, and your leaders make decisions with confidence.
Four interlocking layers that establish and operate your unified data foundation—from discovery through continuous management.
A deep-dive discovery and design engagement that maps your processes, data entities, and system interconnections. You get clarity before code—a precise, scalable architecture and delivery roadmap that eliminates rework and reduces risk.
Identity resolution, data modeling, and resilient API/ETL pipelines that unify your CRM, marketing, finance, and support data into one trusted layer. Your leadership finally runs on one version of the truth—accurate, reliable, and ready for decisions at speed.
A fully managed layer of business automations we build, host, monitor, and continuously optimize on your behalf. Production-grade integrations with SLAs, error handling, and observability—your operations run predictably while we handle the complexity.
Cross-functional analytics and reporting for the C-suite—unifying KPIs from Sales, Marketing, Finance, Support, and Delivery. Role-based dashboards, alerting thresholds, and drill-downs tied to your operating cadence. Zero spreadsheet wrangling.
Plug-in capabilities configured on top of your data backbone to solve targeted problems—without creating new silos.
Unified lead scoring, precision routing, and outcome logging.
CPQ to invoice with zero manual handoffs and audit-ready logs.
Auto-spin onboarding, project, and finance tasks on close.
True CAC, ROAS, and pipeline contribution without spreadsheets.
Dynamic journeys that shift on real-time signals and behavior.
Inventory, integrate, and retire tools to cut waste and unify data.
Zero-friction starts with automated intake and access provisioning.
AI-classified tickets with SLA-aware specialist assignment.
Smart cadence and escalation workflows to reduce DSO.
Cash, margin, and pipeline-to-revenue flow—clear and current.
Single golden customer record across Sales, Marketing, and Support.
Quality, lineage, ownership, and SLA standards—in your actual tools.
The Mainline Playbook — our field-tested methodology for installing a unified data backbone and operating it as a managed service.
Map processes and data flows, define governance, and set success metrics—establishing a precise, scalable architecture.
Implement identity resolution, APIs, webhooks, and ETL with robust error handling, observability, and security.
Validate data quality, run parallel tests, train teams, and switch on production with minimal disruption.
Run the system under defined SLAs, monitor health, and extend capabilities as your tools and business evolve.
Three enterprise profiles where fragmented data infrastructure creates the most severe operational, financial, and strategic pain.
Accelerated roll-ups acquiring 30–50 entities per year, each with conflicting legacy stacks. Your sponsor needs consolidated EBITDA, not conflicting spreadsheets. We reconcile post-acquisition chaos into a single governed data layer.
Rapidly scaling organizations suffering from severe integration debt—broken RevOps pipelines, shadow IT fragility, and siloed departments that threaten the next funding round. We stabilize the architecture so your metrics hold up to diligence.
Distributed operational footprints reliant on legacy on-premise systems, requiring strict regulatory compliance and unified financial reporting across dozens of locations. We normalize billing, patient records, and dispatch data into one trusted core.
Unlike revenue operations agencies that patch front-end workflows, or IT consultancies that deliver a project and walk away, we operate as an embedded, continuous infrastructure partner.
We deliver the elite technical depth of a data engineering boutique combined with the predictable, fully managed accountability of an enterprise utility service. Once our pipelines are embedded across your ERP, CRM, and financial systems, we become foundational to your operations—continuously governed, monitored, and guaranteed.
High technical depth × Continuous operational ownership.
Foundational data infrastructure isn't a one-off project—it's an operating system. Our AaaS model lets you lease a custom-built backbone we manage end-to-end for a predictable monthly fee. Your data remains yours; we own and operate the automation layer.
A paid diagnostic that maps your integration debt, identifies architectural vulnerabilities, and quantifies the financial impact of your data silos. The essential first step.
Project fee based on stack complexity, data volume, and enterprise nodes requiring integration. Structured as milestone payments tied to delivery gates—not a massive upfront invoice.
A tiered AaaS retainer for continuous monitoring, maintenance, security patching, and optimization. Predictable OpEx that replaces fragmented tool costs and hidden maintenance work.
Frameworks, diagnostics, and proof—built for time-poor leaders who need clarity, not fluff.
A CEO's guide to moving from conflicting reports and brittle workflows to a dependable, company-wide data backbone—operated as a service. Includes maturity model, scorecard, executive dashboard examples, and a full ROI model for AaaS vs. hiring in-house.
A hands-on walkthrough of the framework we use to deliver reliable data flow. Leave with a 30/60/90 plan template, governance checklist, and ROI calculator preview mapped to your implementation approach.
A fast, practical self-assessment that quantifies the cost of fragmented data and highlights the highest-ROI fixes. Score yourself across People, Process, Data, and Platforms. Includes the AaaS vs. In-House ROI Calculator.
Detailed, metric-driven proof. See how a services firm cut month-end close from 10 days to 2, how a SaaS company unlocked $3.2M in pipeline accuracy, and how a multi-brand group integrated 5 stacks in 12 weeks.