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AI and Automation Services

Practical AI that saves hours — and checks its own work.

AI automation services for work that has to run on a Tuesday morning, not just demo well. We build LLM integrations, custom AI solutions and automation that quietly removes the manual grind — wired into the tools you already use. Our own Figma-Forge agent turns designs into code and pixel-checks its own output until it matches, which is roughly our whole philosophy: practical AI for business that verifies itself.

Bello Cloud Solutions — AI and Automation Services
Self-validating
Scales
StackLLM integrationChatbotsAutomationMicroservices
8+Products live in production
iOS · Android · WebShipped end-to-end
120+Projects built
Design → DeployOne senior crew
What we build

What AI and automation looks like, up close

An AI pipeline you can trust — it generates, runs, checks its own output, and only ships when it's actually right.

What you get

Everything AI and automation takes, handled.

Self-validating pipelines

AI that checks its own output before you trust it.

LLM integrations

Chatbots and copilots wired into your existing stack.

Automation

The manual grind, quietly removed.

Built to scale

Microservices, not fragile one-shot scripts.

In detail

AI and Automation Services, in plain terms

01

Start with feasibility, not a pilot nobody uses

AI consulting services here begin with AI feasibility consulting: is this a problem a language model is actually good at, and is the data in a state to support it? Then AI proof of concept development on your real data before anyone commits to a platform. As an AI development company we would rather tell you a rules engine solves it for a tenth of the cost. AI for small business and AI implementation services for larger teams follow the same rule — smallest thing that works, measured, then extended.

02

LLM and generative AI integration

LLM integration services and large language model consulting across the major providers, including OpenAI API integration and ChatGPT integration for business inside your existing systems. Generative AI integration and AI content generation integration where volume is the bottleneck. Prompt engineering services and AI model fine-tuning services when off-the-shelf output is close but not reliable enough — and we will tell you which of the two your problem actually needs.

03

Chatbots and assistants that do not embarrass you

Custom chatbot development and AI chatbot development services grounded in your own content, so answers are sourced rather than invented. A customer support chatbot that deflects the repetitive tickets and hands over cleanly when it should. AI virtual assistant development and conversational AI development for internal teams — the assistant that knows your process, not the internet's.

04

Knowledge, search and RAG

RAG application development and retrieval augmented generation services so answers come with citations from your documents. Vector database integration, semantic search development and AI-powered search implementation to replace keyword search that never found anything. An AI knowledge base assistant over your policies, contracts or product docs — which for most companies is the highest-return AI project available and the least glamorous.

05

Documents and data pipelines

AI document processing and document AI automation for invoices, forms, contracts and the PDFs somebody currently retypes. AI data extraction services with confidence scoring, so low-certainty records route to a human instead of quietly entering your database wrong. Data pipeline automation to keep the whole thing fed.

06

Agents, and knowing when not to use one

AI agent development and autonomous AI agent services for multi-step work, with AI workflow orchestration underneath so runs are traceable, retryable and auditable. Agents fail badly when unsupervised, so ours validate their own output before it counts — the pattern we proved on Figma-Forge. Where a deterministic workflow would do the job, we build that instead.

07

Automation without the AI, where that is the honest answer

Business process automation services, workflow automation services and intelligent automation services covering the unglamorous middle: no-code automation setup, Zapier and Make automation, API automation services, email automation setup, CRM automation services, sales process automation and marketing automation setup. A large share of what gets asked for as AI is a well-built integration that never breaks.

08

How the engagement works

A fixed-fee proof of concept first, then a build once the value is demonstrated. You can hire AI developers as a dedicated AI team, or engage us as an AI automation consultant to assess what is worth doing before you spend. As an AI automation agency USA, UK and EU clients get the same engineers. Everything ships as scalable microservices with monitoring and cost controls, not fragile one-shot scripts — and we tell you the running cost per month before you commit.

How we approach it

Our way of working

01

Autonomous, self-validating AI pipelines — we built Figma-Forge, design to verified code.

02

LLM integrations and chatbots wired into your existing stack.

03

Workflow automation that removes repetitive manual steps.

04

Built as scalable microservices, not fragile one-shot scripts.

Everything we cover

AI and Automation Services — the full list

The whole practice, in one place. If what you need is on this list, we have shipped it before — and if it is not, ask anyway, and we will tell you honestly whether it is ours to take.

Core services

  • AI automation services
  • AI consulting services
  • AI development company
  • AI integration services
  • custom AI solutions
  • AI implementation services
  • AI feasibility consulting
  • AI proof of concept development
  • practical AI for business
  • AI for small business

LLM and generative AI

  • LLM integration services
  • large language model consulting
  • generative AI integration
  • ChatGPT integration for business
  • OpenAI API integration
  • AI model fine-tuning services
  • prompt engineering services
  • AI content generation integration

Chatbots and assistants

  • custom chatbot development
  • AI chatbot development services
  • customer support chatbot
  • AI virtual assistant development
  • conversational AI development

Knowledge, search and RAG

  • RAG application development
  • retrieval augmented generation services
  • AI knowledge base assistant
  • AI-powered search implementation
  • semantic search development
  • vector database integration

Documents and data

  • document AI automation
  • AI data extraction services
  • AI document processing
  • data pipeline automation

Agents and orchestration

  • AI agent development
  • autonomous AI agent services
  • AI workflow orchestration

Business process automation

  • business process automation services
  • workflow automation services
  • intelligent automation services
  • no-code automation setup
  • Zapier and Make automation
  • API automation services
  • email automation setup
  • CRM automation services
  • sales process automation
  • marketing automation setup

Ways to work with us

  • hire AI developers
  • dedicated AI team
  • AI automation consultant
  • AI automation agency USA
Selected work

What we've shipped

See all projects →
Figma-ForgeFigma-Forge — screenshot

Figma-Forge

An autonomous AI agent that turns Figma designs into production code, self-validating with pixel-diff until it matches.

Good questions

AI and Automation Services FAQs

Will AI actually save us money, or is it hype?

Both are true depending on the use case. It reliably pays back on high-volume repetitive work with clear inputs and outputs — document processing, support triage, internal search. It rarely pays back on judgement-heavy work with little data. We scope a proof of concept specifically to find out which one you have.

What does it cost to run once it is live?

Model usage is metered, so we model the monthly cost at your real volume before building and design around it — caching, smaller models for easy cases, batching. You get a projected running cost as part of the proposal, not a surprise invoice in month two.

How do you stop it making things up?

Ground it in your data with retrieval, cite sources in the answer, constrain the output format, and validate before anything is acted on. Where being wrong is expensive, we route low-confidence cases to a human rather than pretending the model is certain.

Is our data used to train someone else's model?

Not on the enterprise API tiers we build on, where inputs are excluded from training by contract. For sensitive workloads we can run open-weight models in your own cloud so the data never leaves it.

Can you connect AI to our existing systems?

That is the normal shape of the work — CRM, helpdesk, ERP, database or internal API. An AI feature with no access to your systems is a demo; the integration is what makes it useful.

How long does an AI project take?

Two to four weeks for a proof of concept on your real data, then typically six to twelve weeks to production including monitoring, evaluation and cost controls. We do not skip the evaluation step — it is the only way to know it still works after a model update.

Related

Often needed alongside this

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Need AI and automation?

Tell us what you're trying to ship. We'll come back with an honest, costed plan — no jargon.

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