AI consulting and implementation
We find the workflows costing you time and money, redesign them, and implement the right AI and software. Then we manage what we build and measure what changes.
Your AI operating partner.
These are the recurring situations we look for. Each one connects to a specific intervention and to a measure you can check afterwards.
Not every delay is recoverable revenue. Establishing which ones are is the point of the assessment.
Three bounded engagements. Each one has a defined deliverable, a stated commercial model, and a next decision you are free to decline.
We examine how the work actually happens, establish a baseline, check whether your data and systems can support a change, and recommend one prioritized, scoped initiative.
Explore this service02 TransformWe redesign the work, configure existing tools, integrate systems, and build custom software or AI-assisted steps only where they are justified. Testing, human approvals, exception handling, and staff preparation are part of the build.
Explore this service03 OperateMonitoring, maintenance, evaluation, operating-cost visibility, exception handling, and an agreed amount of improvement work, reviewed on a schedule.
Explore this serviceTraining, adoption, governance, and value measurement run through all three services. They are not separate consulting practices and they are not optional extras.
A field-service estimate, from the customer request to the follow-up. Switch between today and the redesign, then open any stage to see who acts, what controls it, and what changes.
Redesigned / Stage 01 of 5
Phone, form, and email all create the same intake record. The form asks for what an estimate actually needs. A rule assigns an owner immediately so the request is never unattended.
Ownership is decided at the moment of arrival rather than by who happens to notice. That single change removes most of the requests that quietly go nowhere.
Five stages, each with an owner and a control. Intake asks for what the work needs, approved information is retrieved rather than remembered, AI prepares a draft, rules route it, a person approves it, and follow-up is monitored.
An illustrative design example, not a client case study. No result is claimed, nothing is sent, and no system is connected.
Automating part of a job changes somebody’s work, and giving software the ability to act creates a risk that has to be bounded. Both are part of the engagement, with owners and funding.
The people doing the work know which step exists because of a complaint five years ago. They shape the redesign, and what they tell us is used the way we said it would be.
Employment, material spend, safety, credit, and significant customer commitments have a named approver and a written threshold agreed by the business.
When a case falls outside the rules the system stops and routes it to someone. Quietly proceeding on a best guess is the failure mode that makes automation untrustworthy.
If a change narrows a role or reduces hours, that belongs in the business case with an owner and a funded response, not in a conversation after go-live.
Xpancom is Mitch Moccia’s practice. More than twenty years of building software, now pointed at the operational problems that make established businesses harder to run than they should be.
The person who watches your coordinator work is the person who designs the change and writes the code. No handoff from the people who sold the engagement to the people who deliver it.
Configuration, integration, and custom build where it is justified. The deliverable is a workflow running in your business, not a slide describing one.
Your service platform, accounting system, and scheduling tool can usually do more than they currently do. New software is a decision we have to justify, not a default.
Forecast, observed operating change, and realized financial benefit stay three separate records. Assumptions are written down so you can challenge them.
That is the question worth answering first. Bring it to a short conversation and we will tell you whether there is something here worth investigating.
About thirty minutes on the operating constraint, who it affects, and what a better outcome would be worth. No AI specification required and no obligation at the end.
If there is a useful question to investigate, we propose a bounded assessment in writing with its scope, fee structure, and decision gates. You can decline it and still keep the conversation.
Nothing about the assessment commits you to building anything. Deciding not to proceed is a normal result and we would rather reach it early than late.
Your AI operating partner.
A short first conversation about the operation, the people it affects, and whether there is a useful question to investigate. It is free and it is separate from the paid assessment.