Services · Milestone + custom work
A defined outcome. A clear milestone. Hands-on execution.
When the work is bounded, we can own the delivery directly—from integration and automation through a custom application or migration.
What we can own
Scope with
clear ownership.
- Milestone definition and acceptance criteria
- Prototype and proof-of-value builds
- Integrations and workflow automation
- Custom AI and internal applications
- Cloud architecture, migration and deployment
You’re ready when
The signs are
already there.
- The outcome is clear but your team lacks the capacity to deliver it.
- You need a prototype or proof of value before a bigger investment.
- An integration or migration has a hard deadline.
- You want fixed scope and acceptance tests, not an open-ended retainer.
A practical engagement
Define the result, constraints, acceptance tests, and handoff up front; then execute the milestone without turning it into an open-ended retainer.
Scope, cadence, decision rights, and success measures are agreed before the engagement begins.
Book a callLegacy system migration as a milestone
Move off an old system or spreadsheet process onto a supported one, as a fixed-scope milestone with acceptance criteria and a rollback plan.
See the workflow LeadershipRescuing a stalled software build
Take a product build that is over time and over budget, find out what is really done, and reset it to a fixed-scope milestone the team can actually deliver.
See the workflowDecision support
Answer the next question.
Useful comparisons and planning tools for this engagement.
Questions
Common questions.
How do you define when a milestone is done?
Before implementation, define the operating outcome, systems involved, constraints, acceptance criteria, approval points, and handoff owner. Completion should be testable against those agreed criteria rather than based on a vague sense that the project is finished.
What happens after a milestone is delivered?
The handoff should identify who owns the result, how it is operated or monitored, what documentation is required, and which follow-on work is optional. A completed milestone should not create an undefined dependency.
When does a milestone become custom software?
Only when the required outcome still has a real gap after configuration, connectors, APIs, and existing automation options have been evaluated. If custom software is needed, the milestone should define the smallest custom layer that closes that gap.
Other ways to engage
Leadership or delivery.
Own the technology direction.
Architecture, vendors, technical roadmap, engineering decisions, risk, hiring support, and executive-level technology leadership.
02 / Chief AI OfficerTurn AI into an operating capability.
AI strategy, governance, tool selection, agent workflows, enablement, measurement, and an execution plan tied to the business.
03 / Product leadershipMove from idea to a product people can use.
Discovery, requirements, prioritization, product architecture, delivery management, validation, and iteration.
Bring the messy version
One workflow.
A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
---
title: "Milestone & Custom Delivery"
description: "When the work is bounded, we can own the delivery directly—from integration and automation through a custom application or migration."
url: https://lidvizion.ai/services/milestone-delivery/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Services](https://lidvizion.ai/services/) · Milestone + custom work
# A defined outcome. A clear milestone. Hands-on execution.
When the work is bounded, we can own the delivery directly—from integration and automation through a custom application or migration.
[Talk through the role](https://lidvizion.ai/contact/?need=milestone-delivery) · [All services](https://lidvizion.ai/services/)
What we can own
## Scope with clear ownership.
- Milestone definition and acceptance criteria
- Prototype and proof-of-value builds
- Integrations and workflow automation
- Custom AI and internal applications
- Cloud architecture, migration and deployment
You’re ready when
## The signs are already there.
- The outcome is clear but your team lacks the capacity to deliver it.
- You need a prototype or proof of value before a bigger investment.
- An integration or migration has a hard deadline.
- You want fixed scope and acceptance tests, not an open-ended retainer.
A practical engagement
## Define the result, constraints, acceptance tests, and handoff up front; then execute the milestone without turning it into an open-ended retainer.
Scope, cadence, decision rights, and success measures are agreed before the engagement begins.
[Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)
Use cases
## Where teams start.
Illustrative workflow patterns for this service.
[All use cases](https://lidvizion.ai/use-cases/)
- [Legacy system migration as a milestone](https://lidvizion.ai/use-cases/legacy-system-migration/): Operations Move off an old system or spreadsheet process onto a supported one, as a fixed-scope milestone with acceptance criteria and a rollback plan.
- [Rescuing a stalled software build](https://lidvizion.ai/use-cases/rescuing-a-stalled-software-build/): Leadership Take a product build that is over time and over budget, find out what is really done, and reset it to a fixed-scope milestone the team can actually deliver.
Decision support
## Answer the next question.
Useful comparisons and planning tools for this engagement.
- [How to scope a technology milestone](https://lidvizion.ai/answers/how-to-scope-a-technology-milestone/): Make the outcome and acceptance criteria explicit before implementation.
- [When custom AI software is justified](https://lidvizion.ai/answers/when-should-a-company-build-custom-ai-software/): Use existing products and connectors first, then build the smallest missing layer.
- [Milestone scope builder](https://lidvizion.ai/tools/milestone-scope-builder/): Capture the outcome, systems, constraints, human approval and handoff owner.
- [Who should own the code](https://lidvizion.ai/answers/who-should-own-the-code-an-agency-builds/): Keep code, accounts and IP in the company’s name from day one.
- [Write a software development RFP](https://lidvizion.ai/answers/how-to-write-a-software-development-rfp/): Describe the outcome, constraints and first milestone instead of a feature list.
- [How much data a vision project needs](https://lidvizion.ai/answers/how-much-data-does-a-computer-vision-project-need/): Start from your own cameras and conditions; adapt a pre-trained model first.
- [Privacy in computer vision projects](https://lidvizion.ai/answers/how-to-handle-privacy-in-computer-vision-projects/): Answer the question without identifying anyone, and limit retention and access.
- [Run a fixed-scope technology milestone](https://lidvizion.ai/guides/run-a-fixed-scope-technology-milestone/): Define done, show progress in increments and hand off with full ownership.
Questions
## Common questions.
### How do you define when a milestone is done?
Before implementation, define the operating outcome, systems involved, constraints, acceptance criteria, approval points, and handoff owner. Completion should be testable against those agreed criteria rather than based on a vague sense that the project is finished.
### What happens after a milestone is delivered?
The handoff should identify who owns the result, how it is operated or monitored, what documentation is required, and which follow-on work is optional. A completed milestone should not create an undefined dependency.
### When does a milestone become custom software?
Only when the required outcome still has a real gap after configuration, connectors, APIs, and existing automation options have been evaluated. If custom software is needed, the milestone should define the smallest custom layer that closes that gap.
Other ways to engage
## Leadership or delivery.
[All services](https://lidvizion.ai/services/)
- [Own the technology direction.](https://lidvizion.ai/services/fractional-cto/): Architecture, vendors, technical roadmap, engineering decisions, risk, hiring support, and executive-level technology leadership.
- [Turn AI into an operating capability.](https://lidvizion.ai/services/fractional-chief-ai-officer/): AI strategy, governance, tool selection, agent workflows, enablement, measurement, and an execution plan tied to the business.
- [Move from idea to a product people can use.](https://lidvizion.ai/services/fractional-product/): Discovery, requirements, prioritization, product architecture, delivery management, validation, and iteration.
Bring the messy version
## One workflow. A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)