Free 2-hour workshop · AI Factory Pilot Design
Lower the cost of the work your team repeats.
Two hours, online, free, for engineering leaders. One workflow. One pilot plan. No system access required. We take one recurring delivery workflow, design it, and decide whether a pilot is worth funding.
Two hours, one sitting. Free, and the bar stays the same: four people from your side at most, and the process owner who personally landed one of these changes in the last month has to be one of them. Without that person in the room the session runs on guesses.
From session to a funded pilot
Your recurring delivery task
2-Hour Pilot Design
Engineering outcomes
Design session
Ground automation in code delivery economics
This is a pilot-design session, not training or a production build. Throughout the two hours, one number stays on the screen: cost per completed change. The process owner breaks it down out loud. The stream map explains what the number consists of, the human-agent boundary defines what may be touched, and the result check decides whether we have the right to touch it without a human reading the diff.
What the session is not
- Not training and not a tools overview
- Not a repository maturity audit
- Not building automation
- Not a promise of savings: before the pilot, all numbers are the process owner's estimates
What you leave with
- One recurring delivery workflow focused on cost per completed change
- A verified boundary between inner execution and human decisions
- A designed negative control experiment to prove check validity
- A scoped pilot plan and brief delivered in two business days
Have one recurring delivery workflow that consumes team hours? Let us look at it.
Book an intro callUnit of account
Cost per completed change
We measure the cost per completed change for one task class, not abstract engineering efficiency. Throughout the session, this number stays on the screen. The process owner breaks it down across five concrete components.
Author active work
Direct engineering time spent writing the change.
Review as separate hours
Time spent by reviewers reading diffs and evaluating code.
Rework and returns
Rework rate and engineering hours per returned pull request.
Coordination and context re-entry
Context switching, meetings, and ticket coordination time.
Tooling cost per change
Direct infrastructure and tool costs, including existing tool subscriptions.
Session decisions
Three valid outcomes
All three outcomes are legitimate. Leaving with a clear conclusion that a task should not be automated protects your engineering budget and stops unviable projects before they start.
Candidate for autonomy found
A candidate for autonomy is found, verified by negative control on client code. Scoped into a pilot plan to lower the cost per completed change.
Autonomy candidateAutonomy with mandatory diff reading
Automated assistance with human review required. The scope of the pilot becomes building a reliable, tamper-resistant check.
Check buildingDo not automate
No check with the required properties exists, or volume does not justify investment. A clear stop that prevents wasted engineering budget.
Legitimate resultHow it runs
The two-hour session agenda
Online format. One document on screen throughout the session, no slides. The process owner types into the shared structure while we guide, challenge, and analyze the delivery boundary.
The unit of account
Align on measuring cost per completed change for one task class, establish session rules, and set expectations.
Foundations and rules
Five cost components and volume
The process owner breaks down author work, review, rework, coordination, and tooling costs, multiplied by monthly frequency.
Current cost breakdown
Stream map tied to cost
Map the six steps from ticket intake to accepted result, identifying who decides, where rework occurs, and where wait time sits.
Workflow bottlenecks
Human-agent boundary
Separate the inner execution loop from outer human decisions. Assemble the evidence bundle required to justify each step.
Guardrails and diff reading
Result checks and control card
Examine candidate checks for tamper resistance. Design a negative control experiment that client engineers run after the session.
Check verification
Risk gates and pilot brief
Evaluate landing authority, deploy separation, and rollback. Write a scoped pilot brief with acceptance criteria and week-one baselines.
Pilot decision
Preparation
What you bring to the session
One workflow. One pilot plan. No system access required. We receive no repository access, permissions are not granted, and your codebase is never opened. You bring your numbers and your team.
Sanitized ticket example
One real ticket in the customer's original phrasing, with proprietary details and secrets removed.
The process owner
The engineer or lead who personally landed a change in this pipeline within the past month. Mandatory.
Frequency and hours estimates
Realistic monthly task frequency and estimates of active engineering hours spent per change.
Output consumer definition
Clear answer to what the consumer sees and who will notice if an output or number turns out to be wrong.
Four-person room ceiling
Strict ceiling of no more than four people from your team to keep math and decisions focused.
Deliverables
What you take away
A single document delivered two business days after the session. Six distinct sections assembled directly from session findings.
Economics sheet
Current cost per completed change across five components, task volume, calendar time, proposed delta, and named savings recipient.
Workflow and guardrails
Stream map marked with decision points, rework loops, wait times, boundary definitions, and four risk gates.
Result checks registry
Candidate checks evaluated against failure modes, with status and verification requirements.
Negative control card
Execution-ready experiment card for client engineers with designated assignee, return date, and deliberate failure test.
Scoped pilot brief
Single bounded task, acceptance criteria, named owners, four metrics, and week-one baseline measurement plan.
Not checked inventory
Itemized inventory of unverified items, empty gate cells, and forecast numbers with documented reasons.
Want an objective decision on whether a software delivery pilot is worth funding?
Book an intro callPositioning
Built for engineering leaders, not business operators
Who this session is for
Engineering leaders, CTOs, heads of delivery, and technical practice leads at software teams, IT services firms, and their delivery partners.
- Teams with recurring delivery workflows running at least weekly
- Leaders looking to lower cost per completed change with verified checks
- Teams seeking to define human-agent boundaries on code pipelines
- Engineering organizations deciding whether a pilot is worth funding
Who this session is not for
This session is not for business operators, CFOs, COOs, or business owners looking to apply AI to business operations like inventory, ERP workflows, margin leakage, or demand forecasting. It does not cover business workflows outside the software delivery pipeline.
Looking for operational business workflows?
If your focus is business operations, distributor margin, or ERP integration, our practical AI workshop for operators is designed specifically for your leadership team.
Explore the practical AI workshop for operatorsHonesty
What we deliberately do not promise
Stated out loud during the session and recorded as a dedicated section in your deliverable package. Clear boundaries, zero hype.
Permission for autonomy
The session delivers a candidate and an experiment design. The right to run unattended is earned only after client engineers execute the negative control.
A verified repository maturity audit
Without code access, repository state is an unverified estimate based on interview answers, not a formal audit.
Measured savings before a pilot
All session numbers are process-owner estimates and forecasts. Real baseline measurement begins during week one of a funded pilot.
A borrowed change size ceiling
Safe change size ceilings must be calculated from your repository's own 75th percentile merge history, not borrowed benchmarks.
Tool comparisons and agent selection
The session designs the workflow, result checks, and human-agent boundaries. Tools and models do not alter the flow map.
An evaluation suite
Building a comprehensive eval harness requires repository access and 20 to 50 real tasks, which belongs in a pilot build.
Critique of existing team checks
Checks are analyzed strictly as operational objects, without evaluating author or team performance.
Why us
Built to deliver, not to hype
Leadership
CTO-led
Vladimir Gorshunov: 20+ years in delivery, fluent with C-level.
Partner
Anthropic Partner
Member of the Anthropic Partner program. Certified engineers.
Track record
20+ in production
HIPAA de-identification, banking call quality, wellbeing AI (4.8 stars).
Team
Senior engineers
Engineers who ship production software and know how checks fail.
See more of the work in our case studies or explore our operational solutions.
FAQ
Questions engineering leaders ask
Get in touch
See if the workshop fits your team
Tell us which delivery task repeats and who owns it. We will say whether the workshop is worth two hours of your team's time, or why it is not.
Email us directly
sales@3alica.com