Industry
Every ticket, call and invoice is a signal.
Facility management, logistics, healthcare services, field service, hospitality, professional services. The data lives in CRM, ticketing and billing, and it describes your demand better than any forecast meeting.
- Manpower allocated to last month's pattern while this month's demand moves elsewhere.
- Response times that look fine on average and terrible for the customers who matter most.
- Churn that was visible in behaviour months before the customer left.
- Pricing by guesswork because nobody has compared cost-to-serve across customers.
- CRM and enquiry logs
- Ticketing and service management tools
- Billing and invoicing
- Call logs and field apps
- Attendance and rostering
- Resource planningRight people and machines at the right time, from your own demand history.
- Growth and demand intelligenceRead the signals in your sales and customer data before your competitors do.
- AI assistants for operationsAnswer the questions your staff answer all day, from your own documents, with guardrails.
- Workflow automationTake the repetitive back-office work off your team, one flow at a time, with a person where it matters.
- AI agents and evaluation harnessesAgents that do multi-step work in your systems, with a test harness that proves they do it right.
- Document intelligenceTurn invoices, forms, registers and reports into clean data you can use.
- Custom model buildingA model trained on your own data, for one decision your business makes every day.
- Data foundationsOne clean data layer from six systems and three versions of Excel.
Illustrative example · Facility services
Cut overtime 18% for a 300-technician field-service operationIllustrative example · Healthcare services
Catching a demand forecast that had quietly stopped working
Questions from service businesses leaders
Our data is spread across five SaaS tools.
Most service businesses are in that position. A data foundations engagement pulls them into one layer first.
Can you work with our existing dashboards?
Yes. We add the forecasting and alerting underneath and keep the dashboards your team already knows.
How do you measure success?
A number agreed in the first phase: response time, overtime hours, churn rate, forecast accuracy. It is reviewed at the pilot gate.
Not sure if your data is ready?
Take the free 20-minute readiness check. You get a short scorecard and a plain answer about what, if anything, is worth doing next.