Access
Least privilege, approved authentication, and managed secrets.
Automate
Build the system your team can trust.
Turn an agreed plan into a working system with the right rules, integrations, approvals, testing, monitoring, recovery, documentation, and owner.
Production Work
A working system needs more than a prompt and a good demo.
The build starts with an agreed starting point, normal steps, exceptions, decisions, results, measures, and owner. The agreement then names the integrations, data, limits, tests, pilot, launch, and handoff.
Stable steps use repeatable software. AI is reserved for agreed judgment work such as classification, extraction, drafting, or ranking, with validation and human review where the decision carries weight.
- Rules
- Integrations
- State
- Permissions
- Approvals
- Validation
- Logs
- Monitoring
- Retry behavior
- Recovery
- Testing
- Documentation
- Ownership
What a Build May Include
Match the system to the work, risks, and people involved.
The exact mix depends on the agreed plan. A proposal names the system, milestones, pass-through costs, tests, warranty, ownership, and handoff before you commit.
- Agreed architecture, integrations, and access plan
- Working system in the agreed production environment
- Deterministic checks for stable rules
- AI-assisted decisions where the work needs judgment
- Human approvals at consequential points
- Normal, exception, and failure-case testing
- Logging, monitoring, alerts, retries, and recovery behavior
- Pilot, launch, and client sign-off records
- Documentation, operator runbook, and training
- Source or configuration handoff with named ownership
Reliability & Safety
Plan for bad data, failed steps, and edge cases.
Inputs
Validation, required fields, and clear handling for invalid data.
Reliability
Duplicate prevention, retries, timeouts, limits, and a failure queue.
Judgment
Defined AI inputs and outputs, validation, confidence behavior, and human approval.
Operations
Logs, alerts, ownership, a disable path, and replay instructions.
Handoff
Named owners, sign-off records, training, and a written runbook.
Scope
Every build starts with clear boundaries and clear tests.
Typically included
- Named trigger, inputs, rules, decisions, actions, outputs, and integrations
- Validation, approvals, retries, alerts, and agreed test cases
- Pilot, launch, operator training, and disable or replay instructions
- Written acceptance criteria and an in-scope defect warranty
Typically excluded
- New workflows, roles, integrations, or features not named in the agreement
- Changes to third-party products outside available controls
- Data cleanup, migration, legal advice, or compliance certification unless stated
- Vendor fees, model use, hosting, or ongoing support unless stated
Testing & Sign-Off
Test what success means, including failure cases.
Project sign-off is based on the written scope and test set. Typical checks cover valid triggers, rejected inputs, structured outputs, required approvals, duplicate prevention, run logs, alerts, processing limits, and the ability to disable or replay the system.
Acceptance does not promise perfection across unknown future cases. New requirements, unexpected data, third-party changes, and higher usage are handled through the agreement's warranty, maintenance, or change-control terms.
Audit Credit
Apply the full $999 when a build makes sense.
Sign a related Automate agreement within 14 calendar days of the Audit review call and the proposal shows the full Audit fee as a separate $999 credit.
Milestone Delivery Assurance
Written deliverables and a remedy tied to undelivered work.
Each project phase includes written deliverables, acceptance criteria, and one revision cycle. If AI Workflow Studio materially fails to deliver an agreed milestone and cannot correct the issue within ten business days after written notice, the client may cancel the undelivered portion of the engagement and receive a refund for amounts paid toward that undelivered work.
This is not a 100% satisfaction guarantee. Projected time, cost, quality, or revenue gains depend on data quality, adoption, process ownership, third-party systems, client decisions, and continued operation.
Automation Build Questions
How much does Automate cost?
Automate starts at $7,500. It is tailored to the system rather than sold as the same package to every team. The final fee depends on the integrations, data, exceptions, approvals, usage, interface, testing, security, and handoff involved.
How are scope, timing, and price set?
AI Workflow Studio first reviews the agreed plan and technical needs. A written proposal then names the system, milestones, timing, price, pass-through costs, tests, warranty, handoff, and what is not included. You decide whether to continue after reviewing it.
Do we need to Optimize first?
The team needs an agreed plan before implementation. That plan may come from Optimize or from complete work your team already owns. If the boundaries, ownership, rules, and exceptions are still unclear, Optimize comes first.
What happens after launch?
The agreement defines handoff, training, an in-scope defect warranty, and optional maintenance. Ongoing monitoring, response targets, improvements, new features, and third-party changes are scoped separately.
Is there a 100% money-back guarantee?
No. The 30-day money-back guarantee applies only to the $999 Audit. Automation Builds use written milestones, acceptance tests, a correction period, and remedies tied to paid work that remains undelivered.
Automate
Build the System Your Team Needs.
Start with the $999 Audit. If a tailored system makes sense, Daniel will propose the scope, timing, price, and safeguards for you to review.