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CMCodeMaint

AI & Automation

AI Development

Custom AI products and features built on leading models. AI development at CodeMaint focuses on specific jobs: answering customer questions, summarising documents, qualifying leads, drafting replies or finding information in large knowledge bases.

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Operations manager reviewing an AI automation workflow
Practical AIBuilt around real business workflows

Overview

What ai development means at CodeMaint

AI development at CodeMaint focuses on specific jobs: answering customer questions, summarising documents, qualifying leads, drafting replies or finding information in large knowledge bases. We start with the task and the data, then choose the model and architecture that does it reliably.

Common starting points are AI agents that complete multi-step tasks, AI chatbots for support, AI automation for back-office work and AI voice agents for phone calls. AI can also be built into your site through AI website development, connected to WhatsApp via WhatsApp automation, and integrated with your systems through API development.

What we provide

Our AI Development services

Each engagement is scoped around your goals, but these are the areas we typically cover.

Use-case discovery

Workshops to identify tasks where AI saves measurable time.

Retrieval over your data

Search and answers grounded in your documents, policies and records.

Model evaluation

Testing models against real examples for accuracy, cost and speed.

Production deployment

Monitoring, logging, guardrails and cost controls in production.

Discovery workshop with sticky notes on a glass wall

Key benefits

What changes for your business

  • Time back for your team

    Repetitive tasks handled automatically so staff focus on judgement work.

  • Faster customer response

    Questions answered and requests processed immediately.

  • Consistent output

    Every task follows the same rules, tone and checks.

  • Controlled risk

    Guardrails, approvals and logs on every AI action.

Features & capabilities

Included as standard

  • LLM-powered features and copilots
  • Retrieval over your private data
  • Model selection, evaluation and tuning
  • Production deployment and monitoring
Code editor open on a laptop in a dark room

How we work

A delivery approach built on clarity

  • Start with one workflow

    We pick a single, measurable process and prove value before expanding.

  • Grounded in your data

    AI answers and actions are based on your approved documents and systems.

  • Humans stay in control

    Escalation paths and approval steps are designed in from the beginning.

Process

How a AI Development project runs

  1. Step 1

    Discovery

    Map the workflow, data sources and success metrics.

  2. Step 2

    Prototype

    A working proof of concept tested on real examples.

  3. Step 3

    Integrate

    Connect CRM, helpdesk, WhatsApp, email and internal tools.

  4. Step 4

    Pilot

    Limited rollout with monitoring and human review.

  5. Step 5

    Scale

    Expand coverage, optimise cost and add new workflows.

Technologies & platforms

Tools we work with

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • AI SDK
  • LangChain
  • pgvector
  • Pinecone
  • Python
  • Node.js
  • AWS Bedrock

Who we help

Built for teams like yours

  • Customer support teams
  • Sales and business development teams
  • Operations and finance teams
  • Clinics and appointment-based businesses
  • E-commerce brands
  • Professional services firms

Use cases

Where ai development makes a difference

Customer enquiries

Answering common questions across website, WhatsApp and email.

Lead handling

Qualifying, routing and following up with new leads.

Back-office admin

Data entry, document processing and reporting.

Why CodeMaint

Why businesses choose CodeMaint

Business-first AI

We recommend AI only where it clearly saves time or improves service.

Engineering depth

The same team builds your integrations, apps and infrastructure.

Privacy-aware

Documented data flows and enterprise API terms.

Measured outcomes

Pilots report resolution rates, time saved and accuracy.

FAQ

AI Development questions

Do we need a lot of data?

Not usually. Most business AI uses existing models grounded in your documents rather than training a model from scratch.

How do you keep answers accurate?

We ground responses in approved sources, test against real examples and add human review where errors matter.

Is our data used to train public models?

We use enterprise API terms where provider training on your data is disabled, and document every data flow.

How does a AI Development project start?

With a short discovery call to understand your goals and current setup, followed by a written proposal with scope, timeline and cost.

How much does AI Development cost?

Pricing depends on scope. Most engagements are offered as a fixed-price project or a monthly plan, agreed before work begins.

Can you work with our existing team and tools?

Yes. We regularly work alongside in-house teams and other suppliers, using your repositories, accounts and communication channels.

Discuss your ai development project

Tell us what you need and a specialist will reply with practical next steps. You can also email support@codemaint.com.