Consulting That Ends in
Something That Runs

Every bid meant retyping the same job into a cost workbook, then again into a branded proposal deck. Scope notes and site photos lived in the field app, the customer in the CRM, the templates somewhere else. Hours per proposal — and pricing leaned on whoever remembered what a similar job went for last year.

An estimator that runs off a tagged job in the field. It reads the scope notes and the photos the crew marked, pulls the customer record from the CRM, selects the right trade template, prices the job against the company’s own completed work, and produces a finished, branded proposal.

Deployed and running automatically, with the estimator notified when a proposal is ready. Half a day of copy-paste became a tagged job. Pricing draws on real history instead of recall, and every estimator ships the same document.

A won deal had to be hand-entered into the project system before operations could schedule it. That meant delay, typos, and occasionally a job nobody entered at all.

Automation that lives inside their CRM — no external server, nothing to maintain. The moment a deal closes, the job appears in operations with its site, value, estimator, and account already filled in.

Won work reaches the operations team the moment it is won, with no one retyping anything. Live and stable in production.

As a subcontractor, they receive invitation-to-bid emails all day from general contractors’ bid platforms. Every estimator’s contact details were typed in by hand — or never captured at all. Years of inconsistent entry had also left the CRM full of duplicate accounts.

An inbox automation that reads each incoming bid invitation and creates a clean contact record from it, paired with a naming standard and a fully audited, reversible cleanup of the duplicates that had already accumulated.

Zero manual entry on inbound bid invitations. A follow-up audit eleven days after the cleanup found 361 accounts and zero new duplicates.

Every study starts from a blank page — the projection, the cost summary, the report — even though the firm has thousands of completed studies sitting in its own archive. The expertise is already in the files. It just is not reachable.

A system that reads the firm’s entire library of past studies and uses it to draft the documents for a new one: the client-facing projection, the engineering cost summary, and a first draft of the study report. Each lands on NCSS’s own templates, each figure traces back to comparable past work, and the draft stays explicit about what was looked up versus estimated. The engineer reviews and finishes it.

Tested against a property held out of the system entirely, the drafted projection landed within roughly two points of the study the firm actually shipped, and named 38 of 42 building systems — 89% of the dollars. The goal was never to remove the engineer. It was to remove the blank page.