AI Software Development

SmartWeb AI Labs is a generative AI software agency and an AI software development agency for teams in the US, UK and Europe. The company is a remote team. AI software development is where we help you choose the shape of the work: a feature inside an application, a chatbot that answers from approved sources, or an agent that can take approved actions. It is for product, operations and founder teams that need AI in a business workflow and have not yet separated those jobs. A typical engagement starts with one workflow in a discovery discussion, then a written proposal for a bounded first release; specialist build work continues on the agent or chatbot page when that is the fit.

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AI agents and chatbots

Who this service is for

Product and operations teams, and founders, who need to choose between an in-app AI feature, a chatbot and an agent before commissioning a build.

Workflows we can help build

  • Add search or extraction inside an application you already operate
  • Test one AI feature against representative examples before a wider product change
  • Choose a chatbot or an agent after comparing the job, the permissions and the handoff

Define the deliverables

  • A written choice of first release: in-app feature, chatbot or agent
  • Data-readiness notes for that workflow
  • Prototype scope when the work is an AI feature inside an application
  • A handoff to the agent or chatbot service when that page is the fit

The final features, responsibilities and acceptance criteria are agreed in a project-specific proposal.

Decisions to make before development

Which job

Separate answering a question, taking an approved action, and adding a feature to software you already run. The specialist pages cover the first two once the job is clear.

Data the first release may use

Name the approved sources, who may access them and how often they change. Leave unrelated document sets out of the first scope.

What stays out of scope

A first release is one workflow. Training a model, unsupervised actions and a second product surface are separate decisions, not the default.

Technology choices follow the requirements

  • Model APIs
  • Python
  • Node.js
  • LangChain
  • Retrieval systems
  • React

LangChain is one framework we use when a feature needs retrieval or a multi-step model call. n8n and Zapier are options when the work is a fixed sequence between apps you already use. Naming these tools describes capability. It is not a record of a completed client project.

From discovery to a useful release

A clear scope, regular reviews and agreed acceptance criteria keep the work connected to your business goals.

  1. Step 1

    Discovery

    Clarify the workflow, the users, the data sources and what a useful first release must do.

  2. Step 2

    Design

    Map the journey, the architecture and the points where a person reviews the work.

  3. Step 3

    Build

    Develop the agreed features and connect the approved systems.

  4. Step 4

    Test

    Check the release against the acceptance criteria before anything goes live.

  5. Step 5

    Launch

    Deploy, hand over and agree how the system is watched after release.

Plan a project with a remote development team

Cost and delivery planning

Scope, data readiness, integrations, platform requirements and review turnaround determine the estimate. Start with a defined first release, then agree milestones and what is outside scope.

Example engagement (illustrative): A product team might start with one internal workflow — for example searching approved documentation with citations — before expanding to customer-facing features. Scope, evaluation examples and operating costs are agreed before build work begins.

Prepare a brief and compare project estimates

Remote collaboration across markets

We offer remote project collaboration for teams in the USA, UK, Europe and other markets. Meeting overlap, documentation, hosting constraints and handover responsibilities are discussed before work begins.

Explore how a remote engagement is scoped

AI Software Development FAQs

How is this page different from the AI agents and chatbot pages?

This page helps you choose and covers an AI feature inside an application. The AI agents page is for workflows that use approved tools and human review. The chatbot page is for conversation, approved sources and handoff. Open those pages once the job is clear.

Can you add an AI feature to software we already use?

Yes, when the application exposes a place for the feature and the data it needs is available. The first release is that feature, with evaluation examples, rather than a new product.

Do you publish a price or a timeline for AI software?

No. An estimate follows the workflow, the data preparation and the integrations in a written first release. The AI development cost guide explains how to compare proposals. It is not a price list.

Who owns model accounts and deployment environments?

Business-owned accounts are preferred. The proposal should state who provisions API keys, hosting, monitoring and access after handover.

How long does a first AI release usually take?

Timeline depends on data readiness, integrations and evaluation depth — not on model choice alone. Discovery turns those inputs into milestones with explicit exclusions.

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Discuss your project

Share a short project brief, the systems you need to connect and your preferred time zone. We can discuss the scope and next steps.

Send an enquiry

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Contact our team

Email

[email protected]

WhatsApp

+92 302 9015909

Remote collaboration

Global Remote Services

Support planning

Support scope agreed per project

Prefer WhatsApp?

Start a conversation about your project. Response availability and support arrangements are discussed for each engagement.

Chat on WhatsApp

Working across time zones

Plan meeting overlap, review cadence and handover responsibilities around your team.

Explore remote project delivery