AI + Analytics by Industry

One operating product, configured around how your business actually runs.

LUMATARRA works best with project-based, service-heavy, multi-location, portfolio, and operationally complex businesses where governed analytics and practical AI can improve decisions, accelerate follow-through, and expand capacity without replacing the team.

Find Your AI + Analytics Opportunities Meet the hybrid team

Who fits best

Industries where AI helps people carry the operating load.

We are not trying to automate people out of the business. The right use cases remove repetitive coordination, reporting drag, follow-up gaps, and decision friction so teams can focus on judgment, customers, and execution.

Leadership depends on scattered systems to understand the business.

Teams spend too much time preparing status updates instead of acting.

Dashboards exist, but decisions still happen through manual follow-up.

AI interest is high, but ownership, governance, and practical use cases are unclear.

The company needs more capacity without burning out the people already doing the work.

Priority industries

Start with the industries where operating pressure is obvious.

Each industry has different systems and metrics. The common thread is the same: too much manual coordination, too many scattered signals, and too little time for leaders and teams to act on what matters.

Professional Services

Best fit: Consulting, accounting, legal, engineering, agencies, and expert-service firms where utilization, pipeline, delivery quality, and client follow-up drive margin.

Team strain: Teams lose time reconciling project status, chasing client follow-up, preparing leadership updates, and rebuilding the same reports every week.

AI lift: AI-assisted briefs, client/account summaries, proposal support, utilization visibility, project risk alerts, and meeting follow-up that helps people produce more without extending the workday.

AI AgentsExecutive IntelligenceLumaSights

Construction & Field Services

Best fit: Contractors, specialty trades, service operators, and project-based teams with field-to-office gaps and margin pressure.

Team strain: Project managers and office teams get buried in job status, change orders, backlog, scheduling, profitability, and customer updates.

AI lift: Project briefing agents, change-order summarization, job profitability intelligence, risk alerts, and Power BI/Fabric operating views that reduce status scramble.

AI Operating SystemAI AgentsFabric + Power BI

Manufacturing & Distribution

Best fit: Operators managing inventory, demand, production, fulfillment, supply chain signals, and margin drift across disconnected systems.

Team strain: Teams spend too much time explaining yesterday instead of spotting exceptions early enough to act.

AI lift: Demand and inventory signals, exception alerts, executive operations briefs, backlog visibility, and predictive analytics that help teams focus on the highest-impact work.

LumaSentialsLumaSpherePredictive Analytics

Private Equity & Portfolio Operations

Best fit: Sponsors, operators, and portfolio leadership teams that need faster visibility, consistent KPI language, and value-creation follow-through.

Team strain: Board reporting, KPI standardization, acquisition integration, and portfolio operating reviews create heavy manual work across already-stretched teams.

AI lift: Portfolio intelligence layers, weekly operating briefs, standardized KPI models, AI-assisted board prep, and cross-company exception detection.

Executive IntelligenceAdvisoryLumaSphere

Multi-location Service Operations

Best fit: Service networks and multi-site operators where staffing, capacity, customer experience, and location performance matter.

Team strain: Operators manage too many locations, too many reports, and too many exceptions without a clean way to see what needs attention first.

AI lift: Location performance monitoring, operating briefs, staffing/capacity visibility, exception routing, and manager-ready reporting support.

Executive IntelligenceLumaSightsAI Strategy

Technology, SaaS & Managed Services

Best fit: Software, MSP, cloud, support, and technology operators managing pipeline, renewals, customer health, delivery capacity, and support trends.

Team strain: Revenue, service, support, and product signals live in separate systems, forcing teams to stitch the operating picture together manually.

AI lift: Revenue/customer health agents, churn-risk signals, pipeline intelligence, support trend summaries, executive SaaS metrics, and customer follow-up support.

AI AgentsExecutive IntelligenceAdvisory

Next move

Show us where your team is losing time.

We will map the workflows, systems, reports, and decision points where AI can amplify capacity without taking humans out of control.

Map Your AI Opportunity