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AI implementationArticle

AI implementation: from planning to production

Connect process analysis, data preparation, integrations and team training in one implementation plan. Define delivery responsibilities and ongoing support.

Author

Syntalith

Published Updated 5 min read

A comprehensive AI implementation should cover process selection, data preparation, the required tools and preparation of the people who will use them. The scope should also define integrations, acceptance and responsibility after launch. An offer becomes assessable when it identifies who delivers each component.

You can start with one department and expand gradually. A shared plan lets you establish access rules, source owners and maintenance arrangements early. Later projects can reuse those decisions where the requirements are the same.

What the scope should include

AreaWhat the company should receiveWhat the client needs to arrange
Process analysisCandidate tasks, a first workflow and reasons for the sequenceA process owner and access to people doing the work
Data and accessSource inventory, update rules and permissionsSomeone to confirm data quality and authorize access
Tools and integrationsA configured tool or system connected to agreed applicationsAdministrators and access to test environments
PilotResults using company examples, failures and a decision on further workReviewers and time to assess outputs
Team preparationExercises using the workflow and instructions for exceptionsTraining participants and an owner for onboarding new employees
Production and maintenanceAcceptance conditions, monitoring and issue reportingSomeone to approve launch and own operating expenditure

Include this table in the AI implementation brief. Ask suppliers to identify included work, separate stages and client contributions. Training, licences and ongoing support may be separate line items even with one delivery partner.

Selecting the first workflow

Choose a task where you can describe the problem and recognize a correct result. Record its frequency, the work involved including corrections, and what happens after an error. Confirm access to the necessary data and someone who can resolve ambiguous cases.

Across departments, compare dependencies. Automating a sales proposal may require a current product catalogue maintained by another team. Preparing that source and assigning its owner should then precede the integration work.

The initial stage may result in selecting an existing tool and training employees. When the task requires data from several systems, a custom interface or execution of operations, assess automation or application development. The work determines the form of the solution.

Example: from customer enquiry to proposal draft

Suppose a company wants to reduce the work involved in handling emailed enquiries. A salesperson checks the CRM, looks up catalogue information and prepares a proposal. This is a planning example, not a reported customer outcome.

First, the team establishes where current prices come from and who can confirm commercial terms. During the trial, the system prepares a draft, shows sources and flags missing information. The salesperson reviews it before sending. Tests also cover an outdated catalogue, a repeated message and an unavailable CRM.

Training uses that same workflow. Employees practise correcting a draft, rejecting a suggestion and reporting a problem. Before launch, assign incident handling and define how enquiries continue manually. That scope makes the work around the model visible in the quote.

Responsibilities with one delivery partner

An implementation company can lead analysis, development, integrations and training. The client still needs a process owner to confirm working rules, provide appropriate material and assess the output. An administrator grants agreed access. The budget owner decides whether to expand the project.

If you have internal IT, define which parts it will operate after launch. Our guide to internal delivery and external suppliers helps divide that work. Also assign problems spanning several systems, such as an agent completing its task while the ERP write fails.

Budget and schedule for the whole implementation

Request stage prices with stated deliverables. Separate data preparation and development from licences, models, hosting and maintenance. Include employee time for review and training. A single agent's price does not cover an implementation across several departments.

At Syntalith, scope, price and timing follow process assessment. Our pricing page provides reference points, and the implementation cost guide explains how to compare line items. Each proposal should identify the assumptions affecting its price.

Base the schedule on data, access and reviewer availability. The agent implementation stages cover one workflow; a programme spanning several teams also needs a plan for shared dependencies. Approve the next stage after evaluating the previous one, using what you have learned about the remaining work.

Expanding to another department

Check whether employees complete tasks with the system, how much review is required and which cases return to manual handling. Record cost per completed case and the frequency of errors requiring intervention. Use the acceptance record to document criteria and results.

Before adding another department, review its sources, permissions and exceptions. A working mechanism may need changes for a different user group or document type. The shared plan should include a separate assessment of that expansion.

Comprehensive AI implementation with Syntalith

Syntalith services cover process analysis, automation, AI agents and applications with integrations. Development can be combined with team training and maintenance after launch. Each component's scope is agreed before work starts.

Bring a process list, the systems involved and an example task from your intended first department. We can identify what can be assessed immediately, the data needed and stages with separate acceptance decisions. Describe your implementation plans.

OpenAI Select Partner

Syntalith is an OpenAI Select Partner in the OpenAI Partner Network.

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