Map the work.
Find delays, repeat work, and unclear handoffs.
You receiveA workflow map and ranked improvement options.
How we work
See the whole workflow.
Fix what slows it down.
We follow the work from request to result, then test the smallest useful improvement. Every change has an owner, a quality check, and a way back if it fails.
Work directly withDr Zak Ouzzif
Explore an example
Follow one task from start to finish.
Watch a task move through the business, then compare a clearer way of working.
Choose a step to hold the example.
People own decisionsAI assists a defined taskChecks protect the result
Step 1 / Sales
Request arrives
A customer asks for a quote. Missing requirements can create rework later.
- Input
- Customer email
- Output
- Requirements to confirm
- Check
- Are scope and due date clear?
Illustrative process, not a client result. AI-assisted drafts still need a named human reviewer.
The delivery path
Four decisions. No automatic next phase.
Test one change.
Compare options, costs, and results before investing more.
You receiveA pilot and a proceed, change, or stop recommendation.
Roll out with checks.
Set access rules, quality checks, and a fallback process.
You receiveA working workflow with a named owner.
Train and improve.
Practice real tasks and review performance over time.
You receiveOperating guides, training, and agreed review measures.
Each phase is separately scoped. Start with the diagnostic alone.
See what changes the estimate.
Expected The constructed specimen assumption.
Use your own inputs
852 change days × (1 − 1/multiplier) × $650/day, rounded to $1k.
Classification scores do not validate cost accuracy. Inspect the specimen assumptions.
Why this workflow first?
Five checks before investing.
01 · Business value
How much time, delay, rework, or customer frustration could this remove?
02 · Feasibility
Do we have useful data, access to the right tools, and someone responsible for the process?
03 · Operational suitability
What happens if the result is wrong, and where must a person make the decision?
04 · Economics
Do the benefits justify setup, software, review, maintenance, and training costs?
05 · Readiness to adopt
Can people use the new workflow consistently, and will it fit their daily work?
The foundation behind the work
Experience guides judgment.
Evidence guides investment.
Systems experience
Experience with critical defense systems informs how we examine dependencies and test changes that could affect cost, schedule, or continuity.
Technical debt research
The Technical Debt Management Framework (TDMF) examines accumulated compromises and dependencies that affect the cost of change. See the WPI dissertation and peer-reviewed journal paper.
Practical AI options
Private models, knowledge assistants, agents, and automation are chosen for the task, with their operating costs and human checks included.
The evidence behind the method
TDMF brings published technical-debt research to the decision process. See the evidence page for the scope of the published evaluation.
Measurement and ownership continue after deployment. NIST AI Risk Management Framework.
Read the technical evidence →Bring one workflow.
Leave with a clearer next step.
Tell us where work slows down so we can agree a useful starting point.
See the range before deciding.
Expected Illustrative working assumptions.
- Low
- 262 USD thousands
- Working estimate
- 323 USD thousands
- High
- 363 USD thousands
Change the inputs
