ALLTIPLY operates the system.
Agree supported workloads, monitoring, incident handling, maintenance, model changes and the client’s approval responsibilities. Availability and response targets belong in the actual service terms.
How we work
Agree the important decisions. Then build around them.
An AI engagement needs a clear business goal, evidence for acceptance and a plan for operation. The scope should make these decisions explicit before a demonstration becomes a delivery commitment.
Request a project reviewTell us what needs to change. We’ll review the context and discuss the next step with you.
A project review establishes the next decision.
Bring the workflow or initiative you need to change, the systems it touches and the constraints you already know. The first discussion should clarify whether the work needs custom development, a private environment, both, or an existing software product.
A review may lead to a scoped discovery or evaluation, a delivery proposal, or a recommendation to use an existing product. Detailed architecture, timing and commercial terms follow the agreed scope.
The decisions that shape delivery
Define the problem and boundaries.
Identify the business owner, users, current process and costly failure modes. Describe which decisions stay with people, which data can be used and the systems that must connect.
Establish the acceptance evidence.
Agree representative tasks, a baseline, evaluation criteria and failure conditions. Distinguish proof-environment observations from behavior measured in a live system.
Choose the approach and scope.
Compare standard software, a focused integration and custom development. Decide the deployment, dependencies, deliverables and responsibility for each part of the system.
Build and evaluate against the agreed work.
Inspect intermediate results with the people who understand the workflow. Test exception cases and system boundaries as well as the intended path. Changes in scope should have an explicit effect on cost and delivery.
Prepare the people and operating environment.
Work through access, monitoring, support, adoption and rollback before launch. Make the ownership of incidents, dependencies and model changes clear.
Operate or hand over the system.
Agree the ongoing operating scope or a handoff plan. Confirm which code, configuration, evaluation assets, documentation and licenses are included, and any third-party restrictions.
Responsibility should be visible in the scope.
Your team operates the system.
Agree the handoff assets, training, access transfer and acceptance process. Check the rights for models, code and third-party services before assuming everything can be transferred.
Operating arrangements can be combined. The proposal should name the owner for each part and how the arrangement can change.
Inspect the approach in actual work.
Vendor-operated versus in-house AI platforms explains the operating evidence and handoff decisions. The production gap field report distinguishes live, prototype and planned evidence across engagements.
Prepare for the review.
Use the shareable engagement brief or review the deployment and security questions. These pages help your colleagues inspect the same decisions.
Discuss the work you need to change.
Describe the business problem, the systems involved and the constraints that matter. We’ll review the context and discuss a useful next step.
Request a project reviewPlease keep confidential documents, credentials and personal data out of the initial inquiry.
