fuselio.AUTOMATION & SOFTWARE

AI AGENTS & ASSISTANTS

An AI assistant for
the questions your team
answers every day.

We build AI assistants that answer questions, collect details, and route requests to the right person.

For customer support, incoming enquiries, and internal knowledge. Connected to your approved information, with clear limits and human handoffs.

Book a free project call ↗

A useful assistant, not an unchecked decision-maker.

SEE HOW IT WORKS

An answer when it can help. A person when it can’t.

This example shows an assistant using an approved policy, then handing an exception to support.

HOW AN ANSWER IS HANDLED
  1. 01

    Question

    Customer or colleague

  2. 02

    Approved sources

    Relevant company knowledge

  3. 03

    Answer

    Within the agreed rules

  4. 04

    Human handoff

    When review is needed

SUPPORT ASSISTANTExample conversation

Can I change my delivery address?

FROM YOUR APPROVED POLICY

You can request an address change before dispatch. Do you have your order number?

It’s already been dispatched.

I’ll pass this to the support team so they can check what’s possible.

✓
A person takes over.

The conversation and order details go with them.

Answers from your knowledge. Actions within your rules.

WHAT YOUR ASSISTANT CAN DO

Give your team fewer
repetitive conversations.

Choose one use case first. We define the answers, actions, and escalation rules before building.

01 / CUSTOMER SUPPORT

Answer common questions.

Help customers find answers about your service, policies, and next steps. Send unusual requests to your team with context.

Website chat · Support triage
02 / INCOMING ENQUIRIES

Collect the right details.

Capture requirements, ask qualifying questions, and hand an organised enquiry to the right person.

Chat assistants · Voice agents
03 / INTERNAL KNOWLEDGE

Find the answer in your docs.

Help staff search approved policies and playbooks, with source references and access controls.

Knowledge assistants · Document search

USEFUL AI HAS BOUNDARIES

You set the rules.
Your team stays in control.

  • Approved informationWe define which documents and systems the assistant can use.
  • Limited actionsOnly the actions you approve, with human review where needed.
  • Real test casesWe test normal questions, unclear requests, and failure scenarios before launch.

OUR WORK

Projects we shipped.

Explore the software we’ve built for our clients.

Explore all projects ↗

A DEFINED FIRST PROJECT

Start with one type of conversation.

Pick a repeated question or enquiry. We agree what the assistant can answer, what it can do, and when a person takes over.

AGREED BEFORE YOU COMMIT

  • An approved knowledge source and defined channel
  • Test conversations, including unclear requests
  • Handoff rules and expected running costs

You approve the deliverables, price, and timeline before paid work starts.

Discuss your first project ↗

HOW WE BUILD IT

One job.
Clear guardrails.

  1. 01 / DEFINE

    Pick the job.

    Agree what the assistant should answer, what it can access, and when a person takes over.

  2. 02 / CONNECT & TEST

    Try real conversations.

    Connect your information and tools. Test the questions and edge cases your team actually sees.

  3. 03 / LAUNCH

    Put it in your workflow.

    Launch with agreed access, handoff rules, documentation, and an owner for updates.

BEFORE YOU BOOK

Before you book.

Can an AI assistant make mistakes?

Yes. That’s why we limit its sources and actions, test realistic scenarios, and design escalation paths. We don’t promise perfect or fully autonomous answers.

Can it answer phone calls?

We can build voice workflows for collecting details, routine questions, and routing calls. We confirm your phone setup, disclosure requirements, and escalation needs during scoping.

How is this different from workflow automation?

Automation follows defined steps between your tools. An AI assistant handles questions or unstructured input. Some projects combine both; we’ll recommend what your process needs.

What are the ongoing costs?

AI model, telephony, hosting, and platform charges depend on usage and the chosen tools. We identify expected running costs and separately scoped support before you commit.

Can it use our own documents and knowledge base?

Yes. We agree which sources it can use, who can access the answers, and how information will be kept up to date. Your team reviews sample answers before launch.

START WITH A CONVERSATION

What questions keep coming back?

Show us the conversations your team handles repeatedly. We’ll assess whether an assistant would help.

Book a free project call

30 minutes with Harsh. No obligation.