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04Intelligence

AI Automation Services for Small Businesses

AI and automation that do real work in your business.

AI Solutions & Automation at Kavion Solutions
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Overview

AI only pays off when it is connected to how you actually work.

We build assistants, retrieval systems and automations grounded in your data and tools, so they remove real hours instead of adding another dashboard nobody opens.

Who this is for

Sound familiar?

  • Your team retypes the same information between systems every day

  • You tried a chatbot and it confidently made things up

  • You know where the hours go and want them back

What we actually do.

Four ways in

  1. AI chatbots and assistants

    Assistants that answer from your own documents instead of making things up.

  2. AI trained on your documents

    Your files indexed and searchable, so every answer comes from what your company knows.

  3. Workflow automation

    The repetitive jobs your team does by hand every day, done automatically.

  4. Integration and safety controls

    Connected to your CRM and helpdesk, with rules for what it can do on its own.

Capabilities

Everything this covers.

14 capabilities

Ask for one of these or all of them. It is the same team either way.

  • AI chatbots and assistants
  • RAG over your documents
  • Workflow automation
  • Document data extraction
  • Invoice and form processing
  • Lead qualification and routing
  • Voice agents
  • CRM and helpdesk automation
  • Custom model integration
  • Internal search
  • Report and content generation
  • Evaluation and guardrails
  • Data pipelines
  • Automation audits

Not seeing the exact thing you need under AI Solutions & Automation? It is almost certainly still us. Tell us the problem and we will say plainly whether it is ours to solve.

How it runs

Four steps. No mystery.

Every step has an owner and a date. You always know which one we are on, and what has to be true before the next one starts.

Diagram showing company documents feeding a retrieval store so every AI answer traces back to its source
  1. Find the hours

    We map where time actually goes and pick one workflow that is high volume, low risk and measurable. Not the most exciting one, the one that proves it.

  2. Ground it in your data

    Retrieval over your documents and systems, so answers come from what your company knows rather than what a model guessed.

  3. Wire it to the tools

    Agents that read and write to your real stack, with the routing, memory and permissions to complete a job rather than describe one.

  4. Evaluate and hand over

    Test sets, guardrails and human review on anything consequential, then monitoring so quality is watched rather than assumed.

Deliverables

What lands in your hands.

Yours at the end of the engagement, whether we carry on together or not. Nothing here is held hostage.

Handover6 items
  • One production workflow, end to end

    Running in production

    Not a demo. A real workflow running against your live systems, with the volume and error handling to survive a Monday.

  • Retrieval pipeline on your documents

    Deployed pipeline

    Your documents indexed and searchable by meaning, so answers are assembled from what your company actually knows.

  • Integrations with your existing tools

    Live integrations

    Connected to the CRM, helpdesk and storage you already use, reading and writing only where it is permitted to.

  • Evaluation suite and benchmarks

    Test suite + scores

    A test set of real cases with scored answers, so you can prove quality improved rather than feel that it did.

  • Guardrails and human in the loop

    Config + audit log

    Rules for what it may do alone and what needs a person to approve, with an audit trail of both.

  • Runbook and monitoring dashboard

    Runbook + dashboard

    What to do when it misbehaves, and a dashboard that tells you before a customer does.

  • LangChain
  • LangGraph
  • RAG
  • MCP
  • LiveKit
  • Pinecone
  • FastAPI
  • AWS Bedrock

Outcomes, not activity.

What you get

  • 01

    Hours a week back from manual work

  • 02

    Answers that come from your own data

  • 03

    Automation that works with the tools you already use

  • 04

    A person approving anything risky

Working with us

Four things you can hold us to.

  • 01

    A real reply within one business day

    From a person who read your brief, not a ticket queue.

  • 02

    The people on the call build it

    No account manager relaying messages in between.

  • 03

    Tracked from first click to booked call

    Every enquiry traced to the page and search that brought it.

  • 04

    No hostage code. It is all yours.

    Code, domain and accounts in your name. Take it in house whenever you want.

FAQ

AI Solutions & Automation questions.

Yes. We design for data governance from the start, keep sensitive data in systems you control, and add access controls, logging and human review where it matters.

Support triage, document processing, research and summarisation, lead handling, reporting and many internal workflows. We start with a high-value, low-risk use case and prove it.

Yes. We integrate with your CRM, help desk, data warehouse and internal tools rather than forcing a rip-and-replace.

RAG stands for retrieval augmented generation. Before the chatbot answers, it searches your own documents, policies or product data for the relevant passages, then writes its reply from those passages and can cite them. That is what stops it inventing answers about your business, and it means updating the bot is as simple as updating the documents.

A chatbot answers questions. An AI agent takes actions: it can book the appointment, update the CRM, raise the refund or send the follow-up, using the tools you give it access to. Most businesses start with a chatbot grounded in their own content, then let it act on low-risk tasks once it has earned trust, with a person approving anything expensive to get wrong.

It will if you let it answer from the model alone. We ground answers in retrieval over your own documents and systems, so a response is assembled from sources it can cite. Where being wrong is expensive, a human approves before anything is sent or actioned.

Wherever you decide before we build. We can keep everything inside infrastructure you control, use providers with no training retention, or run open models on your own hardware. Data governance is a design decision we make at the start, not a policy page we point at afterwards.

Something that happens many times a week, follows rules a person could write down, and where a mistake is cheap to catch. Support triage, document extraction, lead qualification and internal search all qualify. We would rather prove the pattern on one workflow than launch six that nobody trusts.

An off the shelf tool is the right answer more often than agencies admit, and we will say so when it is. Custom is worth it when the work depends on your data, your rules or systems the tool cannot reach. That is the line we help you find, before you pay anyone to build anything.

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