Help with AI
in everyday work.
You may be weighing a vendor proposal, testing a pilot, or trying to make an existing system dependable. We help you work out what needs attention and take on the technical work your team needs.
Help with AI
Here are some of the situations we can help with.
You need to know whether an AI system is working
We define what a useful result looks like, test representative cases, and set up ways to catch errors and changes in quality.
You are evaluating an AI proposal
We review what the product does, how it would fit your systems, and the work and costs needed to use it.
You need to understand the value of a pilot
We assess adoption, output quality, time saved, and ongoing costs so you can decide whether to continue or change direction.
No one is responsible for the system after launch
We help establish ownership, monitoring, and a plan for handling failures and changes.
Important knowledge depends on a few people
We work with your team to document decisions and exceptions, then build tools that make that knowledge easier to use and maintain.
You need experienced technical leadership
We can help lead the decisions and delivery, for a project or on an ongoing basis.
Your team has had AI training, but little has changed
We help turn one-off sessions into a program with champions, shared tools, clear rules, and a way to measure what is working.
Work out
the next step.
Start with the task or decision you need help with. Tell us what is happening, what you have tried, and what you would like to improve.
We may suggest an assessment, a limited pilot, or changes to a system already in use. The scope depends on the evidence available and what your team needs to decide.
Estimate what manual
work is costing you.
Estimate the time repetitive work takes and what automation might free up. Your inputs stay in your browser unless you submit the contact form.
1
Company2
Departments3
Parameters4
ResultsAbout Your Company
Use your company figures to set up the estimate. You can adjust the assumptions at each step.
$
$/yr
Department Breakdown
How many people on each team, and what % of their time goes to repetitive tasks?
Investment Parameters
Defaults are based on industry benchmarks. Adjust if you have specific numbers.
$/yr
$
Automation estimate
Your automation estimate
-
Annual Capacity Value
-
Payback Period
-
3-Year ROI
Hours & Capacity
Annual Hours-
Equiv. FTEs-
Investment
Year 1 Net-
Year 2+ Net-
Capacity Value by Department
| Department | Team | Hours | Value |
|---|
By Department
3-Year Cumulative
Before vs. After: Hours on Repetitive Tasks
Methodology & Assumptions
The estimate values freed time at the current labor cost. This is capacity, not necessarily a reduction in spending. Hourly cost is derived from the fully loaded annual cost divided by 2,080 working hours per year. The capture rate is your assumption about the share of repetitive work that can be automated. Check it with a trial that includes review and corrections. The model assumes gradual adoption: Year 1 captures 60%, Year 2 reaches 85%, Year 3 hits 100%. Year 1 costs include the roadmap fee, implementation, and annual tooling. Year 2+ costs include only annual tooling. Actual results may vary based on process complexity, data readiness, and implementation quality.
Ready to validate these numbers?
Request a 30-minute conversation with Ron to discuss the assumptions and which workflow to examine first.
Tell us where you're stuck.
Describe the problem and what you have tried. Ron will reply within one business day to discuss how we can help.