Enterprise AI services

AI development services
from models to business applications

AppsCraft arranges development companies or independent specialists for model training and fine-tuning, deployment, AI agent development and knowledge-base integration. We clarify the requirements and coordinate progress, reviews and handover.

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Technical specialists reviewing an AI project scope and model architecture together
Technical development, arranged for your business

Clarify the technical requirements
and arrange the development team

We review the following technical requirements with you, then arrange a development company or freelancer with relevant experience:

Model and data requirements
Clarify the task, available data, model requirements and how the work will be evaluated.
Deployment and connections
Review the target environment, interfaces, access needs and existing systems.
Delivery and review
Agree the project stages, review schedule, technical deliverables and handover arrangements.
Talk to us about your AI requirements
Technical service areas

Four areas of
AI development work

Model development

Prepare a model
for your business task

The specialists responsible for the project prepare the data, train or fine-tune a model, and evaluate the results against the agreed tasks. The approach depends on the data, model assets and resources available.

  • Data preparation and labelled samples
  • Training or fine-tuning approach and resources
  • Evaluation tasks and model deliverables
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AI model training workspace with classified document samples and evaluation charts
An example brief
Adapt a model to classify our business documents.
  1. 01
    Review the data and objective

    Define the document categories and review the available examples.

  2. 02
    Train or fine-tune the model

    Prepare the dataset, confirm computing needs and run the agreed training or fine-tuning process.

  3. 03
    Evaluate the results

    Compare outputs against test examples and document the findings.

Deployment and operations

Deploy a model in your working environment

Deployment specialists set up the selected model in the agreed environment. Before it is connected to your application, we confirm the serving interface, access permissions, configuration and operating requirements.

  • Environment and inference service configuration
  • API access and application connections
  • Testing, monitoring and technical handover
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Server hardware with storage bays and status indicators
From model to application

Connect your model to the tools you use

  1. 01Model
  2. 02Inference API
  3. 03Business application
Agent applications

Build an agent around
a defined workflow

The developers responsible for the project build an AI agent for your workflow. The brief specifies its tasks, information sources, tool connections, permissions and review checkpoints.

  • Task planning and multi-step workflows
  • Tool connections and permission boundaries
  • Testing, exceptions and human review
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AI agent workflow editor connecting tasks, tools and an approval step
An example brief
Build an agent that prepares project updates.
  1. 01
    Define the working sequence

    Set out the inputs, decisions and expected update format.

  2. 02
    Connect the agreed tools

    Add the task records, lookup tools and permissions needed.

  3. 03
    Test the complete task

    Review sample updates, exceptions and the handover requirements.

Search across business documents

Connect business knowledge
to useful answers

Knowledge-base and RAG development uses the agreed documents and records. Depending on the project, it can include preparing sources, retrieving information, linking answers to source documents and connecting existing systems.

  • Document preparation and retrieval design
  • Source references and access permissions
  • Business-system integration and answer review
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Knowledge-base search on a tablet with answers linked to source documents
An example brief
Let staff query our internal documents and records.
  1. 01
    Organise the sources

    Choose the documents, record types and access boundaries.

  2. 02
    Build retrieval and connections

    Prepare the knowledge base and connect the agreed systems.

  3. 03
    Check answers and references

    Use sample questions to review retrieval, answers and source links.

How the project is arranged

How your AI project
moves forward

  1. 01

    Clarify the requirements

    Confirm the task, data, existing environment, budget and expected deliverables.

  2. 02

    Select the development provider

    Find a development company or freelancer whose skills and availability fit the project.

  3. 03

    Develop and coordinate progress

    The partner performs the technical work. AppsCraft follows milestones and coordinates feedback and agreed changes.

  4. 04

    Review and hand over

    Review the deliverables against the agreed acceptance criteria and coordinate handover of the code, configuration and documents included in the scope.

AI engineer testing model deployment and preparing technical handover documents

Define the technical scope before work starts

Data and model scope

Confirm the data, model assets and access needed for the work.

Evaluation and acceptance

Agree sample tasks, evaluation methods and acceptance points for the deliverables.

Deployment and handover

List the environment, configuration, documentation and support work included in the project.

Responsibilities and delivery

Clear responsibilities
from brief to handover

  1. 01

    You provide the context

    Explain the business objective, provide agreed information and access, and confirm priorities and review decisions.

  2. 02

    AppsCraft arranges the work

    Organise requirements, arrange the contractor and agree the scope, quotation, responsibilities and milestones.

  3. 03

    The partner develops

    Carry out the agreed training, deployment, application development or integration work, with testing and technical documentation.

  4. 04

    Review and complete delivery

    AppsCraft coordinates feedback, issue follow-up and the agreed handover with you and the delivery partner.

Explore AI specialists

The right arrangement may be one specialist or a development team. Tell us the work involved and we will help define the roles needed.

Discuss your AI requirements
Model training & fine-tuning engineersModel deployment & MLOps engineersAI agent developersRAG & LLM application engineersAI data & evaluation engineersAI development companies & teams
About AI development projects

Questions before
we begin

Who carries out the AI development?

The development company or independent developer agreed for the project carries out the technical work. AppsCraft is your contact for requirements, progress, reviews and handover.

What AI development services can you arrange?

Model training and fine-tuning, model deployment, AI agent development, and knowledge-base, RAG and system integration work.

Can the project include our existing models and systems?

Yes, these can be included in the requirements discussion. The delivery partner will need to review the model assets, interfaces, data formats and access available before the implementation approach is agreed.

Do we need a complete technical plan before contacting you?

No. Start with the business task, existing data and intended outcome. We help organise those requirements and arrange the right technical discussions with a suitable contractor.

How are the scope, fees and delivery confirmed?

You pay AppsCraft according to the agreed service quotation, which includes project coordination. The development scope, stages, acceptance criteria and handover items are confirmed with you and the delivery partner before work starts.

Arrange your AI development project

Tell us what you
need to build

We will help clarify the technical work, arrange a contractor with relevant experience and coordinate the project through to the agreed delivery.

Discuss your AI projectExplore AI services