Days after month end that numbers are available
Faster numbers mean earlier action on projects that are slipping.
Engineering firm leaders need a few answers every week: are projects tracking to budget, is each discipline busy enough, how many months of backlog do we have, and which receivables are slipping? The data sits in Vantagepoint, Ajera, Unanet or CORE, but turning it into a clear picture usually means an accounting manager building Excel reports long after the month closes.
A KPI dashboard brings a short list of measures into one view that refreshes on its own: earned value and estimate at completion by project, utilization by discipline, backlog, net multiplier and aging receivables. Leaders and PMs review it on a fixed rhythm and assign actions to anything off track.
Common choices: earned value and estimate at completion, utilization by discipline, backlog in months, net multiplier, write-offs, aging receivables and pursuit hit rate.
Agree how each measure is calculated, then correct task setup and percent complete practices in project accounting. Trustworthy definitions matter more than charts.
Connect project accounting to Power BI or your system's own dashboards so data refreshes daily or weekly without manual exports.
Discipline leads and principals review the dashboard each week, assign owners to projects flagged red and track actions to completion.
How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
Faster numbers mean earlier action on projects that are slipping.
Shows whether the dashboard gives early warning rather than confirming losses afterward.
Captures the admin time saved by replacing manual report building.
For example, a multidiscipline firm's new dashboard shows structural utilization running well above target for six weeks while the civil group sits below it. Two structural projects show estimates at completion over budget. Leadership shifts a cross-trained engineer for a month and delays one pursuit. This illustrative scenario shows the value of seeing discipline-level data weekly rather than a firm-wide average each quarter.
In the first 30 days we would interview leaders and PMs about the decisions they need data for, review task and percent complete practices, and agree five to eight measures with written definitions. Then we would build a first view for one discipline and test it.
Vantagepoint, Unanet and others include dashboards that may be enough once data is set up well. Power BI or a similar tool helps when you combine accounting data with CRM pursuits, HR data or schedules. We would check what your current licenses offer first.
Show hours-based progress next to their estimate, discuss gaps without blame, and make the weekly review useful to them. When PMs see that early flags lead to help rather than criticism, updates improve. This is a management habit as much as a technology change.
That depends on role, seniority and how much business development each person does. We would help define targets by role with your leadership, but we would not import a benchmark without understanding your mix of work and how time is coded.
Illustrative defaults for an engineering firm. Replace them with your numbers.
a month in staff time, before any lost sales
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
KPI and pipeline dashboards: full guide
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.